Code reviews are an essential part of the software development process. They help improve code quality, reduce bugs, and ensure that best practices are followed. Code review tools make the process more efficient and help teams collaborate better. In this post, we explore the Top 21 Code Review Tools and their major features.

1. Aikido Security (AI Code Review)

Aikido’s AI-powered code review tool acts as an automated assistant, scanning pull requests to catch bugs, security issues, and performance problems that human reviewers might miss. It integrates with git workflows to provide immediate feedback on code quality.

Short Description

Aikido Security’s code review focuses on improving code quality and security by using AI to analyze code changes in real time, ensuring each commit meets high standards before being merged.

Key Features

Automated PR Analysis

• Reviews pull request diffs automatically
• Adds inline comments for potential issues such as null pointer dereferences, unindexed SQL queries, or code that violates team conventions
• Provides instant, thorough code review even when teammates are unavailable

Security & Performance Checks

• Flags security vulnerabilities such as unsafe function usage or missing input validation
• Identifies performance anti-patterns like inefficient loops or redundant computations
• Ensures code is clean, secure, and efficient

Integration & Custom Rules

• Integrates with GitHub, GitLab, and Bitbucket
• Allows teams to define and enforce custom rules such as naming patterns or architectural guidelines
• Acts as a continuous mentor by commenting on rule violations

Benefits

• Faster Code Reviews
  Automates the initial review pass, allowing human reviewers to focus on deeper logic and design, speeding up merge cycles without sacrificing quality.
• Improved Code Quality
  Provides immediate and consistent feedback, helping developers internalize best practices and resulting in cleaner, more maintainable code.
• Knowledge Sharing
  Includes explanations with suggestions, benefiting less experienced developers and raising the overall skill level of the team.

2. GitHub Pull Requests

Major Features:

• Integrated with GitHub: GitHub Pull Requests is a built-in feature of GitHub, allowing developers to initiate and review pull requests easily.
• Inline Commenting: Reviewers can add comments inline on specific lines of code, facilitating clear and direct feedback.
• Code Discussions: Enables team members to have threaded discussions around code changes, making communication more transparent.
• Integration with CI/CD: Works seamlessly with GitHub Actions to trigger automated tests, ensuring the code meets quality standards before merging.

3. GitLab Merge Requests

Major Features:

• Merge Requests: Similar to GitHub’s pull requests, GitLab Merge Requests provide a platform for reviewing changes before they are merged into the main branch.
• Inline Comments and Suggestions: Reviewers can make inline comments and suggestions, which can be resolved before the code is merged.
• CI/CD Integration: GitLab offers powerful CI/CD pipelines that run tests automatically on every merge request, ensuring code quality.
• Approval Process: Multiple team members can be assigned to review and approve the changes before merging.

4. Crucible

Major Features:

• Comprehensive Code Review: Crucible by Atlassian is a robust tool for peer code reviews, supporting JIRA integration for task tracking.
• Flexible Review Workflow: Crucible allows developers to define flexible workflows for requesting reviews, adding reviewers, and tracking feedback.
• Inline Commenting: Provides inline commenting on code and issue tracking capabilities for bug fixing and improving the code.
• Customizable Review Metrics: Crucible offers metrics to track the efficiency of the review process, such as the number of comments and time taken per review.

5. Phabricator

Major Features:

• Code Review and Collaboration: Phabricator is a powerful suite of tools that includes code review, task management, and project collaboration.
• Differential: Phabricator’s Differential feature allows developers to submit code for review, manage inline comments, and view diffs.
• Version Control Integration: It integrates with Git, Mercurial, and Subversion, enabling review of code changes directly from these version control systems.
• Batch Changes: Phabricator allows users to bundle multiple changes into a single review for faster collaboration and decision-making.

6. Bitbucket Pull Requests

Major Features:

• Code Collaboration: Bitbucket supports pull requests for code collaboration, making it easier to conduct reviews within the Bitbucket platform.
• Inline Comments: Reviewers can make inline comments on specific code sections and track changes throughout the review process.
• CI/CD Integration: Integrates with Bitbucket Pipelines to trigger automated tests on each pull request, helping ensure quality before merging.
• Custom Approval Workflows: Allows teams to define custom workflows and approval processes to streamline the review process.

7. Review Board

Major Features:

• Web-Based Code Review: Review Board is a web-based code review tool that supports Git, Subversion, and other version control systems.
• Easy Code Navigation: It offers diff views and the ability to navigate changes easily, making it simpler for reviewers to assess code.
• Inline Comments: Allows reviewers to comment directly on specific lines of code or on the overall code changes.
• Integration with Bug Tracking: Review Board integrates with bug tracking systems like JIRA and Bugzilla, making it easier to track issues alongside code reviews.

8. Gerrit

Major Features:

• Code Review and Workflow: Gerrit is a powerful code review tool that integrates with Git, providing a more structured review and approval workflow.
• Inline Commenting and Change Management: Reviewers can make inline comments and suggest changes, which must be resolved before merging.
• Automated Testing: Gerrit integrates with CI systems to automatically trigger tests and validate code changes during the review process.
• Approval Gates: Gerrit requires approval from one or more reviewers before code can be merged, ensuring that changes meet the quality standards.

9. Collaborator

Major Features:

• Collaborative Code Review: Collaborator is a web-based code review tool that enables teams to work collaboratively on code changes and ensure the quality of each change.
• Rich Commenting and Reporting: It supports inline comments, suggestions, and provides comprehensive reports for tracking feedback and progress.
• Integration with Version Control: Integrates with Git, SVN, and Perforce, making it easy to track and review code changes from various repositories.
• Automated Workflow: Provides customizable workflows for reviewing, approving, and merging code, which can be automated through JIRA or other systems.

10. SmartBear CodeReviewer

Major Features:

• Flexible and Customizable Reviews: SmartBear CodeReviewer offers customizable review workflows, making it adaptable to any team or project structure.
• Integration with Git and SVN: It supports integration with Git, SVN, Mercurial, and other version control systems, simplifying code review in any environment.
• Review Analytics: Provides analytics to measure review efficiency and identify bottlenecks in the process.
• Collaborative Review: Teams can collaborate in real-time, adding comments, tagging team members, and discussing changes in an organized interface.

11. GitKraken Git GUI

Major Features:

• Git GUI with Code Review: GitKraken is a Git GUI that integrates with Git repositories and offers a streamlined code review process.
• Intuitive Interface: Provides a clean, intuitive interface to view commits, diffs, and other changes, making it easy to perform code reviews.
• Merge Conflict Resolution: GitKraken simplifies the merge conflict resolution process, helping teams review and merge code more efficiently.
• Cross-Platform: It works across Windows, macOS, and Linux, providing a consistent experience for teams.

12. Crucible by Atlassian

Major Features:

• Team-Based Collaboration: Crucible allows team members to perform peer reviews of code, track changes, and provide feedback.
• Inline Commenting: Reviewers can add inline comments directly on code snippets to suggest improvements and report issues.
• Integration with JIRA: Full integration with JIRA allows linking code reviews directly to issues, tracking progress, and facilitating continuous collaboration.
• Actionable Reporting: Crucible offers detailed reports on review progress, helping to track review completion rates and identify potential bottlenecks.

13. SourceLevel

Major Features:

• GitHub and GitLab Integration: SourceLevel integrates with GitHub and GitLab to provide detailed code review analytics and insights.
• Code Review Metrics: Provides metrics such as time spent on reviews, number of comments, and review completion time, helping teams improve their process.
• Pull Request Tracking: Tracks the status of pull requests, providing visibility into the review process.
• Code Quality Insights: SourceLevel offers insights into code quality, helping teams improve their coding standards through structured reviews.

14. Perforce Helix Swarm

Major Features:

• Code Review Platform: Helix Swarm by Perforce is a collaborative platform for code review, supporting integration with Git and SVN.
• Threaded Discussions: Allows developers to engage in threaded discussions on code changes, improving communication during the review process.
• CI/CD Integration: It integrates with Jenkins and other CI/CD tools to automatically test code during the review process.
• Custom Workflows: Helix Swarm supports custom review workflows for different development teams and projects.

15. Bitbucket Pipelines

Major Features:

• CI/CD Pipeline with Code Review: Bitbucket Pipelines combines CI/CD with code review, allowing teams to automate tests and review changes before merging.
• Pull Request Integration: It integrates directly with Bitbucket’s pull requests, making it easier to track changes and comments.
• Automated Build and Test: Each pull request triggers an automated build and test process, ensuring that changes meet quality standards before merging.
• Inline Discussions: Team members can discuss and leave comments on specific code lines within the pull request.

16. Reviewable

Major Features:

• Flexible Code Review Process: Reviewable offers a highly customizable review process, allowing teams to define the stages and workflows.
• Integration with GitHub: Works seamlessly with GitHub repositories, enabling developers to start code reviews directly from pull requests.
• Real-Time Collaboration: Developers can collaborate in real-time, adding comments and suggestions to improve the review process.
• Detailed Analytics: Provides review metrics and analytics to help teams assess the efficiency and quality of their code review process.

17. Rhino

Major Features:

• Mobile-Focused: Rhino is designed for mobile app developers, providing tools for reviewing iOS and Android code.
• Integration with Git: It integrates with Git, providing an easy way to manage pull requests and perform reviews.
• Code Quality Checks: Rhino can run automated code quality checks as part of the review process, ensuring that code adheres to best practices.
• Clear Visual Interface: It offers a clear, intuitive user interface, making it easy for developers to provide feedback on mobile code.

18. GitPrime

Major Features:

• Code Review Analytics: GitPrime helps teams understand the effectiveness of their code review processes through actionable analytics and metrics.
• Team Performance Insights: Offers detailed insights into individual and team performance during the code review process.
• Pull Request Management: It tracks pull request progress, ensuring that all reviews are completed in a timely manner.
• Integration with GitHub and GitLab: GitPrime integrates with GitHub and GitLab repositories to track code quality and team productivity.

19. CodeClimate

Major Features:

• Automated Code Review: CodeClimate automatically reviews code for quality and security issues, helping teams identify areas for improvement.
• Inline Feedback: Reviewers can leave inline comments to suggest improvements or discuss code quality.
• Quality Metrics: Provides metrics such as code duplication, complexity, and test coverage, helping teams improve their codebase.
• CI/CD Integration: Integrates with CI/CD tools like GitHub Actions, CircleCI, and Jenkins to automate testing and review processes.

20. Codacy

Major Features:

• Automated Code Review: Codacy automates the code review process, offering insights into code quality, security vulnerabilities, and best practices.
• Pull Request Integration: Integrates directly with GitHub and GitLab to review pull requests automatically and provide feedback on the code.
• Customizable Coding Standards: Teams can define custom coding standards and guidelines to ensure consistent coding practices across projects.
• Detailed Reporting: Offers comprehensive reports on code quality and issues, helping developers address problems before deployment.

21. SonarQube

Major Features:

• Continuous Code Quality: SonarQube continuously checks and analyzes the codebase for bugs, vulnerabilities, and code smells, ensuring high-quality software.
• Comprehensive Reporting: Provides detailed reports on code quality, including metrics on duplication, complexity, and test coverage.
• Integration with CI/CD: SonarQube integrates with Jenkins, GitHub, and Bitbucket for automated analysis during the build and deployment process.
• Multi-Language Support: Supports a wide range of programming languages including Java, C#, Python, and JavaScript.

22. Sourcetree

Major Features:

• Git GUI for Code Reviews: Sourcetree is a Git GUI client that provides a visual interface for managing repositories and reviewing code.
• Integration with Bitbucket: Sourcetree integrates directly with Bitbucket, making it easy to manage pull requests and code reviews.
• Commit History Visualization: Offers a visual representation of commit histories, making it easier to track changes during the review process.
• Branch Management: Provides simple tools for managing branches, helping teams organize and review code efficiently.

This post provides a comprehensive look at Top 21 Code Review Tools, showcasing their major features and how they can enhance the code review process. Let me know if you need more details or adjustments!

Hello folks, if you have a concept and skills on the git command so, that’s very great otherwise, you could pave your way in the glorious field of programming. Welcome to the admiring world of command that makes your way easy with day-to-day enhances which supports very in your life. This command could create turbulence in your daily workflow with innumerable enormous modes. With one command structure, you could conquer all your miseries over the git commands.

Push code to the remote repository

Suppose, you have a file in that you have done everything and you have to upload that all files on GitHub. So, open your GitHub, if you have your own GitHub account then you will log in to that. After the opening of your account, there will be the repository option. So, clicking on the new option, you will have to take create a new repository in the name all about git. Then you will give a description like this is git status one video repository so, after doing the public option you can create a repository. You can do public or private, whatever you want, there is no issue with that. You will see that there will show something command to you. Suppose, you have files in the name node integration so, which you have files in the node integration. First, you will have to take merge from node integration to the main branch then what will you do for that? You will do checkout in master by putting $ git checkout master. After that, you will put like $ git merge node integration, if you will write node and press tab then it will give to write whole. You will see, your branches will have been merged there. If you will visit vs code then node has also come in master. You could directly upload all files from vs code through the command line, how can you do that? First, you will have to take commit by putting $ git commit –m “All files done ready to upload” and after the commit, you will see git status by putting $ git status. You will have to take copy the command from GitHub and paste it into the command line. If you will have to do push so, you will see one thing over there, you could do two or three things. You have been seen everything how does it make? You have a remote repository that exists on the server. You have all files in the file explorer that you have to upload in it. So, you will put $ git remote then it will show you that it exists on the origin. When you will put $ git remote v then it will show you from where it will do fetch or push, it means you are fetching those files and uploading them on the server. Again, you will run a command for push like $ git origin master so, it will take time in demanding id & password then it will have happened push. When you will see fetching into GitHub and refresh that. Every committed file will be present there when you have committed and created it. You can see commits from there, when you will click on your name then every commit has been uploaded there. This is real benefits reach to our GitHub through the command line.

Clone a project command

Suppose, you have to do a clone, any repository is there. First, you will have to go home, in the name js project repository. You have opened any basic project from there and you have to clone that so, you will move in the code & copy that. So, you have an online js repository that somebody has made, you have to do clone and download it to your system. Then you will have to make a file on the desktop. Suppose, you have made a file in the name clone GitHub so, you will open GIT bash in that. Then you will put $ git clone and after, you will put copied URL with js project that you have done before. So, it will have to give clone, download, and receive. If you will see into GitHub then in the name js project file has been made. When every process will have done so, every file will have come. This is the real meaning of clone, any project exists on GitHub. So, you can directly clone in any repository. You will see that every file has come in the file explorer which another person had uploaded in their own project. Usually, you can do a clone, and anybody of project you can do. Those have a public project, you can do a clone of that. You can give an open-source contribution to that. So, you will use only GitHub because it is very reliable which is from Microsoft and it has seamless services.

Related video:

Hello techno-friendly users, welcome to the featuring era of programming. Today, we shall raise our points on the topic of branching and how directly you can establish your branch through the git command line without opening the GitHub platform. If you will also unaware to take git branching so, you have difficulties in relation to command branching then you can receive every kind of solution related to creating, merging, and adding branches. This is the place where you could get all steps regarding branch creations.

Creating branch from the command line

Suppose, you have to make a branch so, let’s have a look that what is branch happening? If you have software and you are working in google and that Google is working in a master branch, all files are running there. Suppose, you want to add a feature in the file but you are not so sure to talking that your boss will give you permission or not. If you do in the main file that will be affected on your main server, the file has become loose then your server will be shut down. So, here comes the talk of the branch, you will make a copy, the branch means making copies of the same file. Then first, you will write git status so, it will show on branch master, nothing to commit. When you will put $ git branch then it will show you in the master branch, if you have to make a branch so, you will put $ git branch update code then update code is branch name happen. So, again, you will run the $ git branch, there will be branches as master and update code that you have been made. If you have to do the switch in the update code so, you will have to put like $ git checkout update code then it will show you switched to branch ‘update code’ option. If you will move in the vs code file, you will do enhances in one then there will not be affected another file. Suppose, you have a file in the name contact.html, you have to write anything in that. You have been made a file in the name comment.html, you have paste similar code of your file and changed something code in that. If you will run git status then it will show you unstaged, when you will do commit through $ git commit –a –m “this update code files updated”. You will do update put anything message so, again, you will run git status then it will show you untracked files. Then you will first add that by putting $ git add –A when you will run git status, it will show you on branch update code nothing to commit, working tree clean. When you will do switch to the master branch then you will see what will happen with comment.html so, you will have to see two branches that you had made by putting $ git branch.

Merging two branch command

You had made a file in the name comment.html then it will happen in the update code branch. So, again, you will switch by putting $ git checkout master then they will have switched to branch ‘master’. When you will move to the vs code so, the comment.html file will not be there and also not visible in the file explorer because you had not that file in the master branch and you are updating that file in the update code. Again, you will do a checkout to update the code so, that the comment.html file will retrieve again in the vs code. This is the real meaning of branch, you can do switch, comment set up, add features also, and anything you want to do. Differently, you can make replicas of the project doing adding features in that, and after, you can merge them. Now, look at how can you do merge, what is merge means? Suppose, you have a project in the name comment.html in vs code, you have made that. You had made features in that boss has liked most, if they say that you have to give merge that with the master branch so, git has to give it directly. How does it do? So, what will be the command? First, you will see the git log by putting the $ git log then you will see files that will have been committed to those files you have done. By pressing Q, you have to give quit, first, you will have to move master. In master, you have to do merge update code then you will move by putting $ git checkout master so, it will have to give switch.

Now, one command is happen like $ git merge update code then you will have to go in the vs code that file has merged there. When you will have to give a close file from vs code then it will give to see you all files and features that have been added. That files were in an update code, you will see they have been shifted to master, whenever you will put git status then it will see on branch master, working tree clean. When you open vs code by putting $ code. Then you will see comment file will have arrived in the master branch. So, this real meaning happens of merge, it is a very good feature. Suppose, you are making a code differently or doing the work of some other person and after that, you have to do merge all of the codes then only you will put git merge along with branch name and from which branch. It’s happened only, git shows us all work from professionally or the good way how ideally you are making and doing file. Suppose, you have to make a file of a node in that all Html files would work as backhand, you have to do server-side logics and make something in backhand. So, for giving him the layout, you will make a file of nodes. First, separately, you will have to make a branch then you will write $ git branch, and again, you will put $ git branch node integration, your branch will make. You will again put git branch then the branching file will show now, you have to make a file, and the direct switch also. It means that you make a branch, you want to do a switch. So, one command that is happening is $ git –b nodeintegration.

Adding JavaScript branch

If you will put $ git –b nodeintegration then it will show checkout changes. When you will do $ git checkout node integration then it will be switched to branch node integration. You will make a file in the name $ touch node.js so, you will see a file has been made in a vs code. Suppose, you have written anything in that like

console.log (“this is the server-side language”)  

console.log (“this is git hub training”)

You have done a server-side in the node integration branch. Now, what can you do? Normally, you can check that. Suppose, you do $ git checkout master then your file node configuration will vanish from the vs code. You have made a file then first, you will add by putting $ git add –A so, it will come in the staging area. Next, you will do it by putting $ git commit –m “this is server-side js file” then the file will be added so, you have committed all files. Suppose, you have to give branch change by adding $ git checkout master when you do switch from the master then the node.js file will have vanished because your file doesn’t exist in the master branch, it will exist in the node integration. Again, you will put as $ git checkout nodeintegration so, the file will be retrieved again in the vs code. It is the meaning of branch, and merge. You have looked at it.

Related video:

Hello techies, welcome to the admiring concept of programming. Whether you are making commands and trying to learn commands for daily GitHub program but still you are in dilemma to take about git command that how can you control over them and become an expert in using the command. So, here is the place where you can get all stuff related to your command line that matters most in your GitHub.

Experimenting with different commands together

If you are using different commands then this process will make you prodigy with extra activity. Now, if you take command as $ git add –A then your file will come in the staging area. When you will select a command like $ git status so, it will show you, your new file comes there. Continuously, you will have to run the command git status and clear so that your command sees properly. If you have sent your file in the staging area then you have to check in the staging area so, you will look at command $ git status then your file will be in the staging area. Suppose, you have to remove from the staging area then one of the commands will happen such as $ git rm –cached, you will type this command with file name so, it will remove from the staging area. Again, you will run a command like $ git status then it will move to the unstaged and become an untracked file. Now, you will do one thing that Suppose, you want to add that file again which had been unstaged. So, your command will be $ git add A, and you want to do commit that. Then you will put $ git commit –m “This is a waste file so, this message will move in git commit. You can see through git log or if you want to see one file then you will type $ git log –p -1.

Removing staged files command

You will see there all add files. Suppose, you have to remove so, what will you do first? You will put like $ git rm –cached xyz.html then the file will vanish, which means they will remove from the staging area. Again, you will do commit, for commit what will be the command, you will put $ git commit -m “deleted the waste file xyz.html”. These are the git commit messages whose you are knowing that what is happened to which commits so, you have been deleted that. if you want to delete the file xyz.html from the hard disk where you have kept in the file explorer then you can put like $ git rm xyz.html then from where the file will be force removal. When you will type $ git rm –f xyz.html so, you will see that file will be deleted from the file explorer. If you will put a command like $ git status then it will show that everything will be committed. Suppose, you want to see short summary of status then you will put $ git status –s.

Shortcut of status

If you put $ git status –s then nobody will give you output unless your working tree is clean. Suppose, you have a file in the name of contact.html and done any changes in that to reaching vs code so, as you put like $ git status –s then it will show your file has been modified. So, again, you will add by $ git add –A when you will put $ git status –s then it will show both modified and add the file.

What is gitignore?

Now, we see that what is gitignore happen? First, you will make a file by $ git .gitignore then you will see in fetching vs code, there will be a file present in the name of .gitignore with a unique icon because it is given through GIT. You add such types of files in this which you have to do ignore them. Suppose, you have made files like log, text, images, and folder, if you want those files in the folder, they don’t track or commit them. So, what will you do? First, you will make a file like $ touch mylogs.log then you will see, there will be a file in the name my logs if you have been written anything commands like processing, download, and upload. You want these command which is in the log files not to be uploaded, when you will do –A then all will move to the staging area. What will you do in gitignore? You will only put the name of my logs file in the gitignore, when you will do track it through $ git status then it will show an untracked file. You will add .gitignore by putting $ git add –A, as you will put $ git status then all my logs file will be tracked. You can do as this suppose, you have made a file in the name of my logs.log then, again, you will run git status then it will not know your file is made or not before it was done. When you will make a file in the name of hello.html then anything you will write of Html file so, you will run git status then it will show hello.html file untracked and it is ignored mylogs.log file because you had put that file in the gitignore. There is a folder my logs, you only want under of that file be ignored, rest of the logs don’t be ignored then you will move to GIT ignore file and you will write my logs, by doing replace whatever there was written before. Again, you will run git status then it will show that it is ignoring my logs named folder under that files also, rest, it will show you my logs.Log file is untracked. This is the real meaning of gitignore, you can do so many things in that suppose, you have CPP files, you want to ignore them so, and you have put .cpp in the gitignore file then it will ignore all CPP file extension. Again, you want to ignore all log files then you will put *.log so, it will ignore all log files. When you will run git status then the untracked file will not show so, you will do a normal by $ git add –A. Again, you want to do ignore my logs that are unmodified and don’t happen commit then you will run git status so, you will know about which has been modified. So, directly you will run $ git commit –m “adding git ignore file” then your file will be committed.

Related video:

Hello techies, welcome to the configurable world of programming. Today, we are going to talk about facts that matter obviously in your git command order. Whether you have fear regarding the command line. After reading, these awesome steps, you will be gain more awaking and stability on the command line. Perhaps, before learning new stuff or things, you have doubt on either you will be eligible or not in getting that. So, this comprehensive part will make you precisely expert in the daily upcoming command matters.

Four stages of files

Some have terms related to git. Let’s have a look at the terms. There are four stages such as untracked, unmodified, modified, and staged. Let’s look at these four. Whenever we make a repository, initialize the git. There is an untracked file, what does it mean? Just until git is not giving care to them. They will not track them, nothing will do, whatever you will do, it will show untracked to you. If you will do adding the file then it reaches the staging area, what is the staging area? the Staging area is the place where your file is ready to be committed. What is a commit? It means, one type of you have been done all codes, you are ready to upload them. Suppose, you make a program doing little-little now, the program doesn’t make at once. So, Doing little, you are ready to upload, one work, one module has been made, you will upload this, the second module has been made, you will upload that. So that, your file is not going to vanish or lose. This has been happened about staged and untracked. What is unmodified happen? Whenever you do commit, suppose, you have done commit then it will move into the unmodified. After doing the commit, firstly, you will do untracked to add file then it will come in the staged area. Again, what will you do? You will do commit so, it comes in unmodified. Suppose, you have a program, there is a file which is in commit then after, you have added some more commands in that. What will happen next? The file will be modified. Again, you edit that file then it will show you modified because you have modified and added codes to them. Again, you have to do stage the file and commit, you can also remove that file from commit. These all are special stages of commands, you may also see that through the command line. Everything will come in understanding if you will see through the command line. Now, you will move to your git bash and make some files over there. You would make a file from touch, touch is a command which is used for making empty files. Suppose, you want to make a blog site then you need some files like $ touch about.html again, you type $ touch news.html, you have made two files then you will see vs code, the two files will be there to the name of about.html, and news.html. These two files will be empty, you have made these files through the command line. Now, you will check by writing some Html codes so, you can make your own basic structure like Html: 5 then your full page layout will be ready like this,

For about.html,

                        <! DOCTYPE html>

                        <html Lang=”en”>

                        <Head>

                                    <Meta charset=”UTF-8”>

                                    <Meta name=”viewport” content=” width=device-width, initial- scale=1.0”>

<Title> about page</title>

</head>

<Body>

            This is about page

</body>

</html>

For news.html,

                        <! DOCTYPE html>

                        <html Lang=”en”>

                        <Head>

                                    <Meta charset=”UTF-8”>

                                    <Meta name=”viewport” content=” width=device-width, initial- scale=1.0”>

<Title> News page</title>

</head>

<Body>

            This is news page

</body>

</html>

Suppose, you have been made these two things so, again, you put $ git status then there will show untracked files. If you want to track all files then there has a command like $ git add about.html then it will do track. Now, you will put $ git status so, it will show you two files one will be tracked or another will be untracked. Suppose, you have ten to twelve files, very huge projects, and so many files so, you will not do it one by one. For doing at once, what will be the command? Then the command will be $ git add –A so, your all folder files will be shifted into the staging area. When you will type $ git status then all your files will be shown in the staging area. You can do unstage so, you will see just how we can do unstage.

Git commit command

So, lets us do commit this, what would be the command for doing commit? For commit, you will put like $ git commit –m “the first commit” when you do enter from there will be committed with the message. So, there all files will be commit

                        [master (root-commit) 3b17be6] The first commit

                         — Files changed, —- insertions (+)

                        Create mode 100644 .vscode/settings. json

                        Create mode 100644 about.html

                        Create mode 100644 news.html

Get checkout command

Suppose, something has happened as your file has been deleted. At once, you have been done commit after that, your all files are deleted by anyhow or somebody has saved that and closed it. Also, the editor has been closed. So, for retrieving that file, one command is happen there. Through that file, it matches your previous commit so, what are they happen? $ git checkout about.html, you will see that your about.html file will retrieve once again. It means your all files have been deleted after doing save. You have ten to twelve files that have been deleted but one time commit should happen, you have done commit and all your files have been deleted. So, you have to retrieve all files then you will type like $ code. Then your vs code will open. You have saved your file and deleted them, if you have to match these files to the previous commit, those have been deleted and you want to retrieve that files into about.html and news.html. So, the checkout one more command happens like $ git checkout –f, when you will put this then it has been matched all files from the previous commit. You will see that all files are available in vs code, it is a useful command. From here, the benefits will be ready to see you, why do GIT use? For what GIT is used? These all benefits, you will have to see that if your file will have been deleted then how you can retrieve them and match to the previous commit. About these all thing, you are seeing.

Git log command

One more command happens whose name is GIT log. What does it do? When you run the $ git log command then it will show you all details about the first commit like the author, and date. Suppose, you have done a hundred commits so, you will do GIT log then all commits will be retrieved there. If you have to see two or three commits then what will you do there, you will put like $ git log -p -1 so, it shows your last commit in detail with diff. what is diff.? You will see just now, there will show you first commit and what changes you have added in that. When you will press Q then it will happen quit and will move in the editor. Suppose, you make a file like $ git touch contact.html then the file has been done. You will see that your file will be ready in vs code to the name contact.html so, you will write code, as usual, you have written previously in that. You will see a U signal besides contact.html which means it is unstaged and untracked. You would continuously run the $ git status command so that you should know what is happening in your file then it will show you the contact.html file and untracked also. First, you will add that by typing command $ git add –A so, it will come in the staging area. When you will put $ git status then your new file will show there. So, you do any advancement in the news.html file and you have added them in that file then what will show to you?  When you put $ git status then it will show you modified because you have done changes in that.

Again, you have to send in the staging area so, as you will write $ git add –A then it will move to the staging area. So, GIT will hold your all records like what are you doing or not? You will add some features in all files so, again, you will run the command like $ git status then all your files will show you modified. After that, you will do add in staging area and commit that by $ git add –A. Again, you will run $ git status then it will show your all files status, if you will write $ git commit –m “Adding the new features to files” then it will show your file details. Suppose, you have added some features in all files through going vs code, let them will save otherwise, the effect will not happen then again, you will put $ git status so, all will be modified, you want to do a direct commit, without sending them staging area. So, there will be commands like $ git commit –a –m “skipping the staged area” from there, staging area will have to give skip and directly, they will be print so, you can check through $ git log p 2 then everything will show you there. If you will put Q then it will do quit from the editor. When you will do $ ls then it will show you all files, like $ pwd, $ ls command, these all happen unique command, you are using in git then it is also work as a terminal command in git bash. Suppose, you make a file by default to the name $ touch delete.html, you have added some feature in that file then you will type $ git status then it will show you untracked because you have not added in the staging area.

Related video:

Hello guys, welcome to the digital world of programming, today, you are going to learn about how to upload projects in GitHub and about local files which are in your system, we are going to teach you how can you upload that files to your GitHub repository. If you have an idea about commit, forks, pull request, merge, and branch. And how can you do contributions to projects? That’s ok, otherwise, you’re a beginner. So, it will be more beneficial to you than a pro user.

Creating a new GitHub repository

What you will do first, first you will make a repository. You have made a repository from the name of the programmer and after doing a public option, you have uploaded that. When the repository will have made, you will see that, if you will click on that, there will be not any code. So, you will copy that link from there & move it to the files where you have put some codes and wants to upload it.

How can you upload projects on GitHub?

If you want to upload some files related to code that you have kept in your eclipse then go to the team option and share that project. After sharing is done, you will go to the team option by doing one right-click and you will select the commit option. When you will do commit then there will come all your files which be selected by you. You will add that files in stage changes and after this, you can write some commands like programmer first commit. After doing so, you will do commit & push and fill up all the push branch matters by adding a remote name, URL links, host, id, and password for authentication, after that you will do checking by clicking on the preview option. You will see, there will be happening connections in the eclipse. After this, you will do push and close that and you will see your GitHub files by doing a refresh in that your programmer file will have uploaded along with all the files which are committed by you.

Push code to GitHub

You will see there, all the .txt files which are uploaded by you. If you will open all the .txt files to fetching in eclipse then you would be a wonder to see that all programs and commit will be available there. Whether you will check, there will be similar programs in both GitHub and eclipse. So this way, you can directly upload your files from the eclipse to the GitHub programmer repository. You have learnt many more things about GitHub. So, stay tuned for more information.

Related video:

Hello folks, welcome to the exotic world of programming. Let’s take a move to the scene of the fork and its contribution in that how can we do fork and contribution in GitHub. If you would understand that each and every aspect of account creation, making a repository, and creating the branch in GitHub then this is the place where you can great ideology on the fork.

Adding more features

Suppose you have opened your profile and there is a repository of your like “GitHub training” and one of your files is there from the name of requirement.txt. So, you have to do designing of two features like dark mode and video calls but you don’t know how to do that? Then there is a contributor, it can make dark mode or one type of front hand. If anybody wants to contribute so, how will they do?

Contributing to the code

Suppose, you are a contributor and you are opened your own profile in the next browser. If you want to contribute to your GitHub project through your name like in beaproplayer and GitHub training then you will search like beaproplayer024/GitHub training in the GitHub search bar. So, there will have come of your repositories and requirement.txt file will open and from there you can create the file. When you will do create a file then the notification will come there like this way “you don’t have access to”. Because you have opened your own profile how can you get access to another profile id? You’re not a contributor and you have no right to doing changes in files. So, you will have to create a fork for this, what does it mean? It means that they have made a replica or you can say mirror for this. When you will do changes to this then one request will have to send to the beaproplayer024 profile. Suppose, you have to add a dark mode design, making a text file, you are making a darkmode.txt file. You are adding like designing, video calls, features adding and thanks, after this, you will have written like dark mode design adding in the propose new file. As you will do propose a new file then there will come a pull request option, you will have to do a pull request.

Forking in GitHub

You have done pull requests and there are all your files. If you have to do merge your file in that repository then you will have to send one request. When you will do pull requests then the front hand of your dark mode will be ready. When you will go to your profile beaproplayer so, you will see one pull request will have come there.

Analyzing the contributed code

If you will see a pull request, as well as one fork, will be there, what does it mean? If any contributor has to do contribute towards yourself so, how much contribute is happening as much fork happens. After this, you will go to pull request, you will see dark mode adding file there, what code has sent by the user? So, before, you will see about the code what is in that? You will move in a commit and see what is written in that code? There will be a dark mode design. Like this way, you will do verify that. After this, you will go to pull request and merge request, again you will do confirm request then your file will be merged from status open. After this, when you will go to code then your darkmode.txt file will have come which will be in the master branch. Those files will locate in your profile master branch and you can also see contributor or fork there. Like as your contribution happens and like this way, you can contribute to any project. When you will return back to your profile, below your profile activity option will exist there.

Merging the contributed code to the master branch

In your profile, every activity will show to you. Those files, you have added to it. If you would see in your profile changes will have happened and dark mode will have added to it. So, this is the contribution, you can do like this. You have seen, how can you do contribute to it and how can other users do contribute to your project. You have seen about all of these things.

Related video:

Hello listeners, today, we are going to talk about how to make a branch in GitHub? Before, starting this article. Must you will read this article till the end. Let’s start to create a branch in GitHub. After knowing how to create a repository in GitHub?

What is the need for a branch in GitHub?

Suppose, you have your own repository from the name of GitHub training then you want to add any features in the code. You aren’t sure that you will do continue this feature or not, something has doubt in your mind. So, you’re adding some features like payment option, send money, or receive money. These three features, if you want to add but you aren’t sure about it. You will not commit these features in the master branch.

Creating branch in GitHub

If you will do commit in the master branch then your all latest file will make. Now, for these things, you will not sure then you will make a new branch on the name of the uncertain feature. So, you will do propose changes by selecting the option. You will look after doing so, all changes have come in written below the open a pull request like “the change you have made in written to a new branch name”.

How to create pull requests in GitHub?

If you will do create a pull request. Now, there will be your master branch and you will click on that latest file (requirement.txt) so, you will see that the payment option will not be added there. Again, you will return to code and you will do switch from master to uncertain feature. When you would do click on that latest file then all three features of your will be present in the uncertain feature. There will be branch form like one is the master branch and another is uncertain feature those you had made previously. Suppose, you have to do merge both of them, after some time you will have become sure that you have to do add all three features into the branch.

Git merge two branches

So, you go into code after that you will go into the pull request option. Then, you will click on the payment added option. There will come your pull requests, one of your requests will be there. Now, you will do merge pull requests with the option of this branch has no conflicts with the base branch. If you will do confirm then your two branches will be merged there. When you fetch to code, opening your master branch so, what will happen? When you will move into the file (requirement.txt), all of your three features will be added to your master branch due to merge. If you have to look at commits of code then you go to commits so, you will get every version uploaded there. Suppose, you have to see the previous version in which payment was not added so, you will get there, and if you have to see the payment added option which was in uncertain feature. So, you can go with the payment option which was in the uncertain branch. This is your version control system where how much excellently all of your versions will have kept. From anywhere, any code, even you can see a first commit which features you had added in starting. This is your version control and you have seen about the master branch.

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VMWare is urging users to apply a patch to address two critical vulnerabilities in VMware vCenter and VMware Cloud Foundation to fix remote code execution and authentication vulnerabilities.

According to the company’s advisory, multiple vulnerabilities in the vSphere Client were privately reported to VMware., including remote code execution vulnerability in the vSphere Client due to a lack of input in the Virtual SAN Health Check plug-in, which is enabled by default in the vCenter Server.

“VMware has evaluated the severity of this issue to be in the Critical severity range with a maximum CVSSv3 base score of 9.8,” the company said in its advisory.

The company also published a blog on the vulnerabilities, saying users of vCenter Server version 6.5, 6.7 and 7.0 need to apply the updates immediately.

“These updates fix a critical security vulnerability, and it needs to be considered at once. Organizations that practice change management using the ITIL definitions of change types would consider this an “emergency change.” All environments are different, have different tolerance for risk, and have different security controls & defense-in-depth to mitigate risk, so the decision on how to proceed is up to you. However, given the severity, we strongly recommend that you act.”

With access to port 443, a malicious actor can exploit the vulnerability to execute commands with unrestricted privileges on the underlying operating system that hosts vCenter Server, VMware said.

According to the company’s blog, the remote code execution vulnerability in the vSAN plugin – which ships as part of vCenter Server – can be used by anyone who can reach vCenter Server over the network to gain access, regardless of whether a vSAN is used or not.

A second vulnerability in the vSphere Client could allow a malicious actor with access to port 443 on vCenter Server to perform actions allowed by the impacted plug-ins without authentication.

The update also improves the vCenter Server plugin framework to better enforce plugin authentication. This could cause some third-party plugins to stop working, VMware says.

If your IT department can’t patch right away and don’t use vSAN, there are workarounds for disabling the plugins affected. That involves editing a text file on the VCSA and restarting services.

However, the company cautions putting off the patch – especially as ransomware attacks increase.

“In this era of ransomware it is safest to assume that an attacker is already inside the network somewhere, on a desktop and perhaps even in control of a user account, which is why we strongly recommend declaring an emergency change and patching as soon as possible.”

In many ways, the DevOps movement is about removing complexity in the development process to increase release velocity and efficiency. While those abstractions may increase simplicity and narrow focus for developers, the pressure to adopt new tools and processes increases the complexity of securing DevOps infrastructure. Furthermore, DevOps culture empowers developers with a focus on increasing agility and removing roadblocks. However, when done without proper security precautions, this also opens the door to new risks.

Challenges to Security
While there are many tools to identify source code vulnerabilities and protect applications in runtime, securing the development pipeline infrastructure itself is largely an unmet need. The biggest infrastructure security challenge is the source control management (SCM) system. This seems validated by the constant headlines about source code leakage or theft. The list of companies having leaked code recently is a who’s-who of software development: Microsoft, Nintendo, Apple, Tesla, YouTube and more. Even GitHub themselves had a code leak in early November 2020.

Git has made collaboration between developers and teams more streamlined than ever. Yet, several industry trends are increasing the complexity of securing SCMs including: multiple SCMs, often centralized for legacy apps and Git for modern apps; public and private repositories; microservices architectures driving rapid proliferation of repositories; and geographically distributed teams.

The difficulty securing SCMs tends to increase in direct proportion to the size and age of the development organization; the phrase, “Nothing ever really goes away in IT,” contains a grain of truth, despite being cliché. Legacy apps are still run on centralized SCMs like Subversion, Perforce, CVS, etc., while modern apps are in Git-based SCMs like GitHub, GitLab, Bitbucket or Azure DevOps. Managing access controls across individual repositories and between cloud and enterprise versions of the same SCM is difficult enough, but establishing and enforcing consistent policy across multiple SCMs is nearly impossible.

Identifying Threats
The key threats to consider are insider vs. outsider and theft vs. accidental leakage. After creating an inventory of the SCM (users, teams, repos, policies, etc.), to prevent theft from insiders and outsiders, software development organizations must apply a “least privilege” access policy, enforce multifactor authentication, investigate all repository forks/clones to ensure they are necessary and monitor public repositories and other sites for the organization’s source code.

While insider and outsider threats are scary enough, inadvertent mistakes are a far more common cause of source code leakage. In addition to the steps taken to prevent theft, organizations should also disable private repositories from being forked/cloned with public access to prevent inadvertent source code leaks.

For organizations developing software, source code is their most valuable asset – it’s what drives user growth and adoption. Far more than plans or trade secrets, source code is, quite literally, a software company’s intellectual property. Repositories are being used to manage configurations for downstream continuous integration/continuous delivery (CI/CD) pipelines and infrastructure as code. Not only does this further validate the critical necessity of securing SCMs, it also means we must begin to think beyond securing just source code, as we rocket into the era of everything as code.

Change is the Only Constant
Nowadays, every company is a software company, and the source code itself, and the SCMs, grow every day. Challenges exist in terms of the amount of code that needs to be protected, and also in the battle for development and security talent. Constantly changing teams require ongoing updates to access control rules, and the difficulty of finding and retaining security talent exacerbates the inherent SCM challenges to protecting source code while accelerating release schedules and making them more efficient. Much like the focus of IT security has recently shifted from the firewall to the identity and access management (IAM) provider, we expect everything as code will shift the focuse of application security from runtime protection and testing to the SCM itself.

Let’s face it, as the demands of writing software increase, more pressure is put on devs to be as productive as humanly possible. And with this demand, the landscape for being a developer has never been more challenging.

With increased responsibilities and technology options, developers are asked to not just worry about the code they write, but all other aspects of the application development life cycle.

The plethora of tools at a developer’s disposal has also made developer responsibilities even more challenging. Determining what tools and platforms to develop on and with have caused a “too many options” scenario in lots of cases.

GitHub To The Rescue
As challenging as this landscape is, there are solutions. One thing that’s abundantly clear, GitHub is the place where developers go to learn and collaborate with the community.

GitHub has enabled developers to have the power of the entire Open-Source community at their disposal and the freedom to learn from the work of others to better themselves as a developer. GitHub has unveiled many tools aside from hosting source code to make the ecosystem as comfortable as possible.

One of those tools I am fired up about is “GitHub Actions”. Look, as you all know, I’m a DevOps guy , and I think about DevOps every time I put on my developer hat. I believe that no matter the app, if you are going to send it somewhere that isn’t your local machine, that app deserves to have some continuous integration and continous delivery (CI/CD), simple as that.

The question becomes, if my code is already in GitHub, what is the easiest way to hook CI/CD into my app? The answer is GitHub Actions.

GitHub Actions allow us to easily configure custom workflows, using a bounty of existing community-created workflows to fulfill the needs of our app. It isn’t just starting from scratch as there are workflows to do nearly everything, and your goal is to just build your Action in the way YOU need it. With GitHub Actions, getting your app to the Cloud is super easy.

But What About Developing My App?
Talking about where it goes before I write and compile my app seems non-sensical, but I believe that thinking about these things early will allow us to choose the technology/tools we need to be most productive.

In my opinion, one of the best tools to write the code that powers our software is Visual Studio Code. Visual Studio Code is a cross-platform, multi-language editor that provides extensive extensibility to create the perfect environment to write code.

Whether you are writing express apps in Node.js, multi-thread highly scalable applications in Go, or writing cutting-edge modules on your Raspberry Pi with Python, VS Code gives you the ability to work in the way that benefits you the most.

The best part, VS Code offers deep integrations with GitHub, which allows you to clone/pull/push your repositories as well as manage your work on issues and pull requests, without leaving the editor, HOW COOL IS THAT! Once you have your repo in VS Code, the editor gives you access to an oversupply of Open-Source extensions to do everything from configure your experience, down to your font and background of choice. Nearly anything is possible with VS Code, and with first-class GitHub support, it truly is one of the best options.

What Should Host My App?
With our code being built in VS Code and stored in GitHub and DevOps’d with GitHub Actions, the last thing we need to think about is now what?

Personally, I think Azure is the ultimate Cloud for GitHub. There is no other Cloud that best enables developers to be the most productive, and with integrations to VS Code AND GitHub, you truly have “best of breed” capabilities at your disposal.

Let’s start with VS Code Integrations, and boy there are a ton of them. Existing extensions enable developers to seamlessly connect to their Azure tenants and have full management capability of the resources in their subscriptions, including creation, scaling, configuration, debugging and if we want, even deployment!

Microsoft has built an extension pack called “Azure Tools” which includes extensions to manage every major Azure resource type as well as Azure CLI support AND Docker. There are also other extensions published by Microsoft that connect and manage nearly every Azure Resource. This means when new features come to the platform, they will be coming to the Microsoft published extensions.

Azure Loves GitHub
Finally, it is safe to say that Azure loves GitHub and the integrations are plentiful. From Azure Portal authentication with GitHub Ids, to individual services interfacing with GitHub (one great example of this is Azure Static Web Apps, which allow CI/CD to be configured on creation of the resource).

There is no better integration story between GitHub and Azure than “GitHub Actions for Azure” a set of pre-built GitHub Action workflows that helps you automate your app’s story on Azure, from deployment to monitoring and everything in between.

The team has built over 30 of these workflows and they are documented in a way that you will be able to use them without hesitation. One of my favorite examples is container image scan which allows you to scan the container images you are using for known vulnerabilities as well as linting to ensure you are using best practices.

GitHub + Visual Studio Code + Azure ensures you as a developer can just trust the tools and get your work done. There are tons of more features that I didn’t talk about here, so please take a look at some of the resources below to get started enhancing your developer productivity.

Before the invention of CI/CD (Continuous Integration and Continuous Deployment & Delivery), software was generally developed by writing the code using a computer whenever it was time to move the software to production. The RedHat website defines CI/CD to be “a method to frequently deliver apps to customers by introducing automation into the stages of app development. The main concepts attributed to CI/CD are continuous integration, continuous delivery, and continuous deployment.”

In other words, CI/CD is a process that replaces the traditional/manual ways of building and deploying software applications. The CI/CD process is automated and executed once a trigger is met. The trigger is mostly attached to a new git commit to ensure that the latest version of a repository’s code is built and deployed with minimal effort to the developer

Handling Continuous Integration & Delivery With GitHub Actions
To further understand how continuous integration and delivery work, we will focus on deploying a URL shortener application API server on Heroku using Github Actions. The application is a NodeJS server and supports:

Shortening a URL by making a POST request to /shorten with a request body containing the code to identify the URL and a url as the URL to redirect to. If no code is sent, it simply generates a random code and returns it as part of the response.
Visiting a shortened link by making a GET request to /:code; the code is the unique code identifier used when shortening the URL.
Monitoring analysis by making a GET request to /analysis/:code; the :code is the unique code identifier used when shortening the URL.
We don’t necessarily have to create a new application since we can deploy a private repository that our Github account has access to, but we can also deploy a public repository. The workflow will check out the code from the application repository, add Heroku git remote URL, and finally deploy the application to Heroku.

ABOUT GITHUB ACTIONS
Github Actions is one of the services offered by Github Inc. According to the release note:

“GitHub Actions is an API for cause and effect on GitHub: orchestrate any workflow, based on any event, while GitHub manages the execution, provides rich feedback, and secures every step along the way. With GitHub Actions, workflows and steps are just code in a repository, so you can create, share, reuse, and fork your software development practices.”
Github Actions is one of the many options that could be used to implement continuous software deployment and delivery(CI/CD) by ensuring that a new version of a software is shipped to the production or testing area as soon as possible.

What Is a Next-Gen WAF and Why Does It Matter for DevOps?

Traditional Web Application Firewalls (WAFs) were designed primarily as perimeter defenses—statically configured rule sets that inspect HTTP traffic and block suspicious requests. While effective in narrow scenarios, legacy WAFs are often criticized for being opaque “black boxes” that block requests without surfacing contextual information about why a request was flagged. This lack of visibility is a poor fit for modern DevOps practices, where speed, feedback loops, and observability are foundational principles.

A next-generation WAF addresses these shortcomings by operating as an integrated security data layer rather than a standalone gate. Instead of just blocking traffic, it collects Layer 7 (application-layer) telemetry, exposes that data through APIs and integrations, and feeds actionable intelligence back into the tools that development, security, and operations teams already use.

Security Visibility at Every Stage of the DevOps Lifecycle

The DevOps lifecycle is typically broken into continuous stages: Plan, Code, Build, Test, Release, Deploy, Operate, and Monitor. A next-gen WAF can contribute meaningful security signal at each of these stages—not just at the perimeter in production. The sections below outline where and how that value is delivered.

Code: Surface Real-World Vulnerabilities for Developers

Static analysis and code review catch many issues before deployment, but they cannot fully replicate the conditions of production traffic. A next-gen WAF observes how attackers actually attempt to exploit your running application and can surface patterns that indicate high-value security bugs—such as injection attempts repeatedly targeting a specific endpoint. This gives developers a prioritized, evidence-based list of vulnerabilities to address in the next sprint rather than relying solely on theoretical threat models.

Build: Visibility Into Cloud-Native Attack Surfaces

Modern cloud-native applications—deployed across microservices, containers, and managed platforms—introduce web-layer attack surfaces that traditional network controls do not adequately cover. Cloud providers offer robust infrastructure security, but application-layer visibility is typically the team’s own responsibility. A next-gen WAF deployed alongside cloud-native workloads provides that missing layer of context, enabling security and platform teams to understand the real-world threat landscape their architecture faces before a vulnerability becomes an incident.

Release: Protection Without Code Changes on Every Deployment

DevOps teams release frequently—often multiple times per day. Requiring a manual security review or configuration change on every release is a bottleneck that directly conflicts with continuous delivery. A next-gen WAF solves this by decoupling application security from the release artifact itself. Whether deployed as a sidecar agent, a reverse proxy, or a cloud-delivered WAF service, protection travels with the infrastructure configuration rather than the application code. Teams can release confidently knowing their WAF policy follows the deployment automatically.

Operate: Production Monitoring on Key Application Metrics

Operations teams are responsible for availability, performance, and reliability. Security events—such as a volumetric request flood or a spike in invalid authentication attempts—directly threaten these objectives. A next-gen WAF contributes to operational observability by exposing security-relevant metrics alongside standard application performance indicators. When operations teams can see attack patterns and application health in a unified view, they can respond faster and make more informed decisions about scaling, rate-limiting, or incident escalation.

Monitor: Real-Time Alerting and Integration With Your Toolchain

After deployment, continuous monitoring is essential. A next-gen WAF integrates with the broader security and DevOps toolchain—sending alerts and telemetry to SIEM platforms, incident management systems, messaging tools like Slack or PagerDuty, and monitoring dashboards—so that security signals appear in the same places where teams are already working. This removes the need to context-switch into a separate security console to understand what is happening in production.

Next-Gen WAF as a Force Multiplier for Security and DevOps Teams

Security and DevOps teams are almost universally resource-constrained. A next-gen WAF can operate in two complementary modes that reflect different team maturity levels:

• Automated protection mode: Teams that need immediate coverage without deep customization can rely on the WAF’s automated detection and blocking capabilities. This allows smaller teams to maintain a strong security posture without dedicating significant engineering time to rule tuning.
• Intelligence and KPI mode: More mature teams can treat the WAF as a security data source, using its management console and API to extract KPIs, analyze attacker behavior, and feed that intelligence back into their development and security processes. This produces compounding improvements in application security over time.

Key Capabilities to Look for in a Next-Gen WAF

When evaluating next-gen WAF solutions for a DevOps environment, prioritize the following capabilities:

• API-first architecture: Security data should be accessible programmatically so it can be integrated into pipelines, dashboards, and automation workflows.
• Flexible deployment models: Support for agent-based deployment, reverse proxy, and cloud-delivered WAF ensures the solution fits different infrastructure topologies.
• Contextual blocking decisions: Every block or flag should include enough context for a developer or analyst to understand and act on the decision.
• Native integrations with DevOps tooling: Pre-built integrations with CI/CD platforms, monitoring systems, SIEM tools, and communication platforms reduce integration effort.
• Low false-positive rate: In a continuous delivery environment, a WAF that generates excessive false positives will be bypassed or disabled. Accuracy is a prerequisite for adoption.
• Support for modern traffic patterns: The solution should handle REST APIs, GraphQL, gRPC, and other contemporary application protocols in addition to traditional web traffic.

Summary

A next-generation WAF is not simply a more powerful version of a legacy firewall. When properly integrated into the DevOps lifecycle, it becomes a source of continuous security intelligence that informs coding decisions, validates builds, protects releases, supports operations, and feeds monitoring workflows. For teams practicing continuous delivery, the ability to decouple application security from the release artifact—while maintaining full observability of the production threat landscape—is a meaningful operational advantage.

If you are evaluating next-gen WAF options for your organization, focus on solutions that expose their data through open APIs, integrate with the tools your teams already use, and are designed from the ground up for cloud-native and containerized environments.

Microsoft Buys Semmle to Deepen GitHub Security Capabilities

Microsoft, via GitHub, acquired code analysis firm Semmle in September 2019 in a move designed to bring structured, query-driven vulnerability detection directly into the software development workflow. The acquisition represented a significant step in GitHub’s broader push to make security an integrated part of the developer experience rather than a downstream afterthought.

What Semmle Built

At the time of acquisition, Semmle offered two primary products:

• QL (now CodeQL): A semantic code analysis engine aimed at product security teams. QL allowed security researchers to write declarative queries that identify specific code patterns across large codebases, making it practical to find zero-day vulnerabilities and detect variants of known issues at scale.
• LGTM: A developer-facing platform (the name is shorthand for “Looks Good To Me”) that ran automated analysis on pull requests and commits to catch vulnerabilities before they reached production. LGTM.com was free for public and open source repositories.

The core idea behind Semmle’s technology is treating code as data. Instead of writing bespoke scanners per vulnerability class, security engineers write queries in QL — a logic-based language — and run them against a queryable representation of a codebase. Queries can be shared across teams and projects, allowing the security community to build a reusable library of vulnerability detectors.

Why GitHub Made the Move

In a blog post at the time of acquisition, GitHub CEO Nat Friedman described Semmle’s engine as allowing developers to “write queries that identify code patterns in large codebases and search for vulnerabilities and their variants.” The community aspect was central to the pitch: researchers share queries, improving coverage across many codebases simultaneously.

GitHub product SVP Shanku Niyogi framed the problem more bluntly: the security lifecycle was broken. Vulnerability identification was largely manual and ad hoc. Disclosures were often irresponsible or absent. Fixes frequently happened outside standard open source workflows, developers often received no alerts, and “updating vulnerable dependencies takes too long or simply doesn’t happen at all.”

The vision Niyogi articulated was for vulnerability management to follow the same structured, collaborative workflow that the pull request created for code contributions. Rather than security being a parallel, disconnected process, it would become a first-class citizen of the development lifecycle on GitHub.

GitHub as a CVE Numbering Authority

Alongside the Semmle acquisition announcement, GitHub disclosed that it had been approved as a CVE Numbering Authority (CNA) for open source projects. This meant GitHub could issue CVE identifiers directly for security advisories opened on the platform, enabling faster, broader disclosure across the industry without requiring project maintainers to coordinate with a separate authority.

Semmle founder Oege de Moor noted that full adoption of the combined vision would mean every CVE eventually coming with a corresponding Semmle query — a machine-readable, executable description of the vulnerability that any project could run against its own code.

Impact on Existing Users

De Moor pledged no disruption to existing Semmle customers. LGTM.com was committed to remaining free for public repositories and open source projects, and Semmle’s open source research program was to continue. The products were eventually folded into what GitHub now calls CodeQL, the analysis engine underpinning GitHub Advanced Security.

Context: The GitHub vs. GitLab Security Race

The Semmle acquisition was part of an accelerating competition between GitHub and GitLab on security features. In the months leading up to the deal, GitHub had already acquired Dependabot (automated dependency update pull requests) and added token scanning, maintainer security advisories, and automated security fixes. GitLab, for its part, had acquired dependency scanning firm Gemnasium in 2018.

The timing was notable: GitHub’s Semmle announcement came the day after GitLab disclosed a $268 million funding round, a portion of which was earmarked for expanding its own security capabilities.

What This Means for DevOps Teams

For engineering teams running their code on GitHub, the practical implications of the Semmle acquisition play out in a few ways:

• Automated vulnerability scanning in CI: CodeQL (the successor to QL and LGTM) can be added to GitHub Actions workflows to scan code on every push or pull request.
• Community-maintained query libraries: The CodeQL query libraries are open source, meaning vulnerability patterns discovered by the security community are continuously added and available to all users.
• Standardised disclosure: With GitHub as a CNA, maintainers can open a security advisory, coordinate privately with reporters, and publish a CVE without leaving the platform.
• Shift-left security posture: By surfacing vulnerability findings as pull request annotations, developers receive security feedback at the same point in the workflow where they receive code review feedback.

The acquisition marked a clear statement of intent: GitHub was positioning itself not just as a code hosting platform but as a security layer for the software supply chain.

What Is Anaxi?

Anaxi is a project management tool designed specifically for DevOps teams. The company reached general availability of its web application in late 2018, complementing an existing iPhone app. At the time of the announcement, an Android version was still in development.

Unlike general-purpose project management tools, Anaxi was built around the reality that modern development workflows span multiple source code repositories and involve complex dependencies between components. Its core goal is to give project managers and engineering leaders a consolidated view of work happening across those repositories.

The Problem Anaxi Aims to Solve

As DevOps practices mature, development teams increasingly distribute their work across multiple repositories. This creates a tracking and visibility problem: it becomes difficult to answer basic questions such as which code belongs to which project, which teams are making progress, and how individual components relate to one another within a larger application.

According to Anaxi CEO Marc Verstaen, one specific pain point is the labeling system used by platforms like GitHub. Labels are entered as free-form text, with no enforced taxonomy or categorization. This makes it hard to:

• Monitor all tasks associated with a specific label consistently
• Navigate from one task to the next in a logical sequence
• Get a coherent cross-repository view of project status

Anaxi addresses this by allowing project managers to edit issues and pull requests directly in the application, with changes synchronized back to the connected GitHub and Jira projects.

Analytics and Developer Productivity Tracking

Beyond repository navigation, Anaxi applies analytics to surface team and individual developer performance metrics. Examples cited at the time of launch include weekly reporting on:

• Code added and removed — tracking the net contribution of each developer over time
• Refactoring activity — identifying when teams are cleaning up existing code rather than adding features
• Code churn — measuring how frequently code is rewritten, which can indicate instability or unclear requirements

These metrics are intended to give engineering managers and project leads data to support planning decisions, rather than relying on anecdotal progress updates.

Dependency Management in a Microservices World

Verstaen highlighted a broader industry trend driving demand for tools like Anaxi: the shift from monolithic applications to microservices architectures. As organizations decompose applications into smaller, independently deployable services, the number of inter-component dependencies grows significantly.

This creates a prioritization challenge for IT operations teams. Understanding which components depend on which others is essential for sequencing development work and avoiding bottlenecks. Anaxi’s approach is to surface these dependency relationships so that project managers can make informed decisions about what to build or fix first.

Multi-Repository and Cross-Company Projects

Another practical reality driving the need for a tool like Anaxi is that projects rarely live in a single repository. Development teams often have preferences for particular platforms, and in many organizations there is insufficient authority at the project management level to mandate a single repository standard. Projects that span multiple vendors or partner companies further compound the problem, as each organization may use its own repository platform.

Anaxi’s multi-repository support is designed to let project managers work across these boundaries without requiring organizational standardization on a single tool or platform.

Business Visibility and the Role of the Modern Project Manager

The broader context for tools like Anaxi is increased executive scrutiny of software delivery timelines, particularly for applications that are directly tied to revenue generation or customer experience. Business stakeholders want real-time visibility into development progress, not quarterly status reports.

This places new demands on DevOps project managers. The traditional project management toolkit — built around waterfall-era workflows — does not map well onto iterative, repository-driven DevOps delivery models. Project managers who can adapt to these environments and deliver consistent, predictable results are increasingly valued within their organizations.

Key Takeaways

• Anaxi launched its web application in late 2018, targeting DevOps teams managing work across multiple repositories.
• It integrates with GitHub and Jira, allowing issues and pull requests to be edited in Anaxi and synced back to the source platform.
• The tool surfaces developer productivity metrics such as code churn, lines added/removed, and refactoring activity on a weekly basis.
• It is positioned to help project managers navigate the dependency complexity introduced by microservices architectures.
• The product reflects a broader market need for project management tooling that is native to modern, distributed DevOps workflows rather than adapted from traditional software development approaches.

Security and Compliance as Code: The Next DevOps Frontier

As enterprise IT teams grow more comfortable with infrastructure as code and continuous delivery pipelines, attention is turning to the next automation frontier: security and compliance. Rather than treating audits and regulatory checks as manual, point-in-time exercises, DevOps practitioners are exploring whether the same code-driven, repeatable approach that transformed infrastructure management can be applied to compliance controls.

At ChefConf 2017 in Austin, practitioners from a range of industries described real-world experiments with tools such as Chef InSpec and Chef Compliance — and were candid about the obstacles that remain.

What Are Chef InSpec and Chef Compliance?

InSpec is an open source testing framework designed for automated compliance and security checks. It lets engineers describe compliance requirements as human-readable, version-controlled code, then execute those checks automatically against infrastructure. Chef Compliance is the management layer used to coordinate InSpec scans across fleets of servers and surface results in a centralised dashboard.

Michael Glenney, a solutions architect at New Context, a San Francisco-based consulting firm, described InSpec as an easier adoption story than other emerging Chef products such as Habitat and Automate. He attributed this to a clear gap in the market: most existing security scanning tools produce output that is difficult for developers and ops engineers to work with directly.

InSpec offers a common language for security, developers, and ops to implement compliance controls — while other tools can be ‘a clump of XML.’

Michael Glenney, Solutions Architect, New Context

Singing the Same Old DevOps Skills Blues

The challenges facing security and compliance as code closely mirror the broader skills challenges in DevOps: finding people who can bridge the gap between technical tooling and domain-specific knowledge is hard, and that difficulty is amplified when the domain is regulatory compliance.

Translating human-readable regulatory documents into machine-executable compliance checks is still largely a manual, human-driven process. InSpec includes a plugin for the Security Content Automation Protocol (SCAP), which is designed to convert structured regulatory documents into code. However, SCAP has meaningful limitations: it cannot capture non-technical controls or best-practice guidance, and its impact-scoring model does not map cleanly to Chef Compliance severity codes, according to John Ray, a senior consultant at Shadow-Soft, a systems integrator based in Atlanta, who presented at ChefConf.

Beyond the tooling gap, practitioners still need to:

• Ingest and evaluate compliance controls in the context of their specific environment
• Work with business stakeholders to understand the practical impact of each control
• Write a formal specification for how each control should be tested
• Author the InSpec code that executes those checks automatically

Even large enterprises with significant resources find this skill set elusive. Verisk, a data analytics firm in Jersey City, New Jersey, that runs AWS OpsWorks for Chef Automate, was exploring InSpec adoption at the time of the conference. Its OpsWorks licence entitled it to use both InSpec and Compliance Server. CTO Eric Schneider described InSpec as a potential way to integrate compliance rules with the diverse data sets Verisk manages — but acknowledged that the company had not yet worked through the deployment details.

We wish we could wave a magic wand and people who knew how to use these tools already would just appear.

Michael Ryan, Cloud Architect, Verisk

Wanted: Documentation and Training

Ray Crawford, DevOps manager at Trek Bikes, a bicycle manufacturer and distributor in Madison, Wisconsin, described a goal that many practitioners share: embedding security and compliance checks directly into the development environment, well before code reaches the delivery pipeline. That way, compliance becomes a shift-left concern rather than a last-minute gate.

I’m the ops guy — I’m the one who’s either hacking it to make it work and get it over the finish line, or I’m the one telling them ‘no’ on behalf of Infosec. So it’s me that gets a black eye, not Infosec.

Ray Crawford, DevOps Manager, Trek Bikes

Crawford saw InSpec’s most important organisational benefit as a clear division of responsibility: security professionals could own and maintain the compliance code, freeing DevOps teams from having to be subject-matter experts in regulatory frameworks. In practice, however, Trek’s team did not yet have the capacity to take on a new toolchain while simultaneously working through infrastructure automation fundamentals. Crawford estimated it would be several months before his team could seriously engage with InSpec.

On the skills shortage, Crawford took a pragmatic approach, favouring the development of junior talent over expensive specialist contractors:

I prefer a dozen interns who are smart, capable, and eager to learn over a super-expensive IT ninja who came from a place that paid him $200 an hour, is here because we pay him $210 an hour, and is going to leave as soon as he finds someone else to pay him $225.

Ray Crawford, DevOps Manager, Trek Bikes

Crawford also identified a systemic gap in the Chef ecosystem: documentation and community tutorials were not keeping pace with the speed of product changes. Specific examples of under-documented patterns he cited included triggering a Chef run immediately after a server restart, and constructing a Jenkins pipeline using Chef cookbooks.

Chef Platform Integration and Cloud Expansion

On the product side, Chef announced at ChefConf 2017 that Chef Compliance’s dashboard view was being integrated into the broader Chef Automate product, continuing a consolidation that had started roughly a year earlier. The goal was to bring all workflow, compliance, and visibility capabilities under the Automate umbrella, with Chef Compliance remote scanning functionality slated to be folded in over time.

Chef also announced incubation projects to extend InSpec scans beyond server operating systems to cloud control-plane APIs — specifically AWS, Azure, and vSphere. At the time, some Chef partners were already using these capabilities in AWS environments, though they had not yet reached general availability.

Crawford said he would consider adopting Chef Automate, but expressed concern that the rapid pace of platform changes was itself a documentation liability:

It’s true of any rapidly changing software framework — docs and blog posts aren’t current, and you have anxiety and stress as you try to cobble together the pieces. It’s not a platform with well-established patterns like C# or Java.

Ray Crawford, DevOps Manager, Trek Bikes

Key Takeaways for DevOps Teams

• Compliance as code is technically feasible but requires practitioners who understand both the regulatory domain and the tooling — a rare combination.
• SCAP integration helps convert structured regulatory documents into InSpec checks, but non-technical controls and scoring discrepancies still require human judgement.
• Organisational readiness matters as much as tooling. Teams already stretched by infrastructure automation adoption may not have the bandwidth to absorb compliance tooling simultaneously.
• Documentation debt is a real risk in fast-moving ecosystems. Teams should budget time for evaluation and expect to supplement official docs with community resources and direct experimentation.
• Investing in junior talent development may be a more sustainable approach to skills gaps than competing for expensive specialists in a tight market.
• Cloud API scanning — extending compliance checks to AWS, Azure, and vSphere control planes — represents the logical next step beyond OS-level configuration checks.

Why Cloud Storage Makes Sense for Source Code

The general advantages of cloud storage — no local infrastructure to manage, easy multi-site access, and straightforward collaboration — apply directly to codebases. When your source code lives in the cloud rather than on a locally hosted server, every developer on the team gets consistent, fast access to the same authoritative repository regardless of location.

Beyond passive storage, cloud hosting unlocks an ecosystem of integrated development tooling:

• Continuous Integration (CI): Services such as Travis CI and GitHub Actions hook directly into cloud-hosted repositories, triggering automated builds and tests on every push or pull request.
• Static analysis: Tools like Codacy or SonarCloud connect to your repository host and report code quality issues without any local setup.
• Pull request workflows: Providers such as GitHub, GitLab, and Bitbucket offer full-featured web UIs for code review, change management, and merge control — capabilities that would require significant effort to replicate on a self-hosted server.
• Team communication integrations: Chat platforms like Slack can be connected to your cloud repository so developers receive real-time notifications about commits, build results, and failing tests — keeping the whole team informed without manual status updates.

How Distributed Version Control Fits the Cloud Model

Distributed version control systems (DVCS) such as Git and Mercurial are architecturally well-suited to cloud hosting. Every developer clones a full copy of the repository locally, meaning the cloud host functions as the canonical remote — not as a single point of failure. A cloud-hosted DVCS provider slots into a standard Git workflow (clone, branch, commit, push, pull) identically to a locally hosted Git server. The transition is transparent to developers while delivering the resilience and collaboration benefits of cloud infrastructure.

Common Concerns — and How to Address Them

Merge Conflicts and Check-in Collisions

Giving more developers access to a shared repository increases the surface area for merge conflicts. This is not a cloud-specific problem — it exists with any shared version control system — but it becomes more visible as team size grows. Effective mitigation strategies include:

• Using short-lived feature branches rather than long-running branches that diverge significantly from main.
• Encouraging small, frequent commits rather than large infrequent ones.
• Pulling from the remote regularly so local branches stay close to the current state of main.
• Establishing a clear branching strategy (such as GitHub Flow or trunk-based development) across the team.

Connectivity and Availability

A dependency on internet connectivity is a legitimate concern. If the remote goes down or the network is unavailable, can developers still work? With a DVCS like Git, yes — because each developer holds a full local clone, they can continue committing locally and push when connectivity is restored. For teams that need additional resilience, setting up a local mirror of the remote repository provides a fallback that developers can push and pull from during an outage.

Security and Compliance

Security is the concern most frequently raised against cloud code storage, and it deserves careful attention rather than dismissal. Key considerations include:

• Access control: Use role-based permissions so developers only have access to the repositories they need. Enforce multi-factor authentication on all accounts.
• Secrets management: Never store credentials, API keys, or certificates in the repository itself. Use a dedicated secrets manager and ensure .gitignore rules are in place.
• Provider selection: Choose a provider that meets the compliance requirements of your industry. Code related to government or regulated sectors may need to reside on specifically certified platforms — for example, Amazon Web Services GovCloud or Microsoft Azure Government for US federal use cases. Verify certifications (SOC 2, ISO 27001, FedRAMP, etc.) before committing to a provider.
• Data residency: Some organizations or jurisdictions require that data remain within specific geographic boundaries. Confirm that your chosen provider can satisfy those requirements.

Choosing the Right Cloud Code Hosting Provider

There is no single correct answer for every team, but there are clear criteria to evaluate:

• Integration ecosystem: Does the platform integrate with your CI/CD pipeline, issue tracker, and chat tools?
• Security certifications: What compliance certifications does the provider hold, and do they match your industry requirements?
• Pricing model: Evaluate cost against the number of private repositories, users, and storage you require.
• Support and SLA: What uptime guarantees and support tiers are available? For production engineering teams, downtime has a direct cost.
• Disaster recovery: Does the provider offer data backup, redundancy, and documented recovery procedures?

Verdict: Cloud Code Storage Is a Sound Choice — With the Right Preparation

For the majority of development teams, storing code in the cloud is not only safe but actively beneficial. The combination of built-in collaboration tools, CI/CD integrations, access from anywhere, and the resilience of DVCS architecture makes cloud-hosted repositories a practical default. The concerns — merge conflicts, connectivity, and security — are all manageable with established practices and deliberate provider selection.

The key is to treat the decision seriously: assess your compliance obligations, choose a provider that meets them, enforce strong access controls, and establish clear team workflows. With that groundwork in place, cloud storage for code delivers meaningful productivity gains for engineering teams of almost any size.

The Scale of the Problem

Software development has never moved faster—and neither has the attack surface that comes with it. According to the 2017 Application Security Report, approximately 111 billion new lines of software code were projected to be written in 2017 alone. Each line introduces the possibility of a defect, and a meaningful subset of those defects are exploitable security vulnerabilities.

The report was blunt about the state of application security at the time: “Applications have become inviting targets for malicious actors, but securing those programs has proven to be challenging to both security teams and developers. Too often, key vulnerabilities get buried in a blizzard of information created by tools unable to prioritize defects in software.”

That signal-to-noise problem—where developers are overwhelmed by vulnerability reports they cannot prioritize—remains one of the central challenges in AppSec today.

Why Application Security Is a Distinct Discipline

A common misconception is that cybersecurity is primarily a network-layer problem—firewalls, intrusion detection, endpoint protection. Application security operates at a different layer entirely: the code itself.

Anita D’Amico, then CEO of Code Dx, framed the human side of the challenge clearly: “In general terms, it means getting the workforce to comply with security processes. With respect to application security, it means getting the software developers and testers to recognize the need to find and fix application vulnerabilities early in the SDLC.”

Shifting security left—catching vulnerabilities during development rather than after deployment—reduces remediation cost, risk, and time to market for secure software. This principle was well established by 2017 and remains foundational to DevSecOps practice.

The Recommended Approach: SAST + DAST + RASP

The report advocated for a hybrid testing model that combines three complementary techniques:

• Static Application Security Testing (SAST): Analyzes source code, bytecode, or binaries without executing the application. SAST tools can be integrated directly into the IDE or CI pipeline, giving developers immediate feedback on vulnerabilities as they write code.
• Dynamic Application Security Testing (DAST): Tests a running application by simulating external attacks. DAST finds vulnerabilities that only manifest at runtime—such as authentication flaws, injection points, and insecure configurations—that static analysis cannot detect.
• Runtime Application Self-Protection (RASP): Embeds security controls directly into an application’s runtime environment. RASP can detect and block attacks in real time, from within the application itself, rather than relying solely on perimeter defenses.

The report noted that RASP’s value extends beyond production protection: “RASP was created to protect applications under attack in real time, but, when combined with dynamic testing, it has proven to be useful in helping developers prioritize vulnerability findings. That not only reduces the risk of an app making it to market with a major security defect but it accelerates the time it takes to put a secure app in a user’s hand.”

Integrating AppSec into the Development Workflow

One of the report’s core arguments was that security testing must become a native part of the development process, not an afterthought or a separate audit gate. D’Amico described the practical implementation:

“Software developers and testers can build security testing directly into their development environment. They can make it a normal part of the development process, not a resource-intensive additional activity. A new breed of AppSec tools, called Application Correlation and Management Systems, embeds the source code testing tools into the integrated development environment, and interfaces with continuous build servers like Jenkins and with issue trackers like JIRA.”

This integration pattern—AppSec tooling connected to the IDE, CI server, and issue tracker—is now a standard expectation in mature DevSecOps pipelines. The report was describing, in 2017, an architecture that many organizations are still working to fully implement.

The Role of Automation

Given the volume of code being produced, manual security review cannot scale. The report highlighted automation as a critical enabler—automated scanning must be embedded in the build pipeline so that every commit is evaluated for security defects without requiring manual intervention for routine checks.

Automation also addresses the prioritization problem. When tools generate thousands of findings, developers lose confidence in the results and begin to ignore them. Modern Application Correlation and Management Systems aim to aggregate results from multiple tools, deduplicate findings, and surface the highest-risk issues first—making the output actionable rather than overwhelming.

Market Context (2017 Projections)

The report projected significant market growth for application security, estimating expansion from approximately US$2.24 billion in 2016 to $6.77 billion by 2021. Steven C. Morgan, founder and editor-in-chief of Cybersecurity Ventures, noted that AppSec was expected to outpace overall cybersecurity market growth:

“While we anticipate 12% to 15% year-over-year growth of the cybersecurity market through 2021, our synthesis of various research has led us to expect the application sector will grow by 16% to 18% during that period.”

These figures are presented as they appeared in the original 2017 report. Actual market outcomes may differ.

Key Takeaways for DevOps and Security Teams

• Volume demands automation: At the scale of hundreds of billions of lines of code annually, manual review is not a viable primary control. Automated SAST and DAST in CI/CD pipelines are baseline requirements.
• Prioritization matters as much as detection: Tools that generate unprioritized lists of thousands of vulnerabilities create alert fatigue. Invest in tooling that ranks findings by exploitability and impact.
• RASP complements preventive testing: Even rigorous pre-deployment testing will miss some vulnerabilities. RASP provides a runtime safety net and can generate telemetry useful for improving testing coverage.
• Security must be a developer workflow concern: Security gates at the end of the SDLC are too slow and too expensive. Embedding security tooling in the IDE and CI server makes it part of normal development rather than an exception process.
• AppSec is not the same as network security: Organizations that focus exclusively on perimeter and network defenses leave application-layer vulnerabilities unaddressed. A mature security posture requires both.

The 2017 Application Security Report was published by Cybersecurity Ventures and sponsored by Code Dx. Original coverage appeared on SD Times.