This article is based on reporting originally published on itbusinessedge.com, with additional editorial context added for a DevOps engineering audience.
Why DevOps Is Reshaping Software Development
Developing software has always been about creating products that work. But “working” is a relative term when you need to satisfy hundreds of thousands—or even millions—of users across vastly different disciplines, devices, and contexts.
This pressure is a core reason why DevOps is supplanting the traditional waterfall model of software delivery. Once you have basic functionality in place, it makes far more sense to ship continuous, incremental improvements quickly than to wait a year or more for the next major release—which may or may not address the problems users actually care about.
But this is a significant cultural and technical shift for developers who have spent their careers in environments that valued consistency and stability over speed and adaptability. Getting the DevOps model right from the outset is proving critical for enterprise engineering teams.
Removing Friction from the Developer’s Workflow
“Before DevOps practices, the burden of deploying a piece of code to production was on the developer and the release engineer,” said Fred Simon, co-founder and chief architect at JFrog. “The goal of all the tooling and DevOps practices is to remove these burdens by making the supply chain fully automated, enabling the developer to concentrate on writing code, releasing, and getting feedback as fast as possible.”
In practice, this means DevOps must actively improve the development experience—not simply add process overhead. A convoluted pipeline that frustrates engineers and slows delivery defeats the purpose entirely.
Simon frames the shift this way: DevOps converts a single, monolithic release cycle into a steady series of micro-deliveries, each small enough to ship fast and receive rapid feedback. JFrog describes the ideal end state as “liquid software”—a continuous flow of small changes delivered seamlessly to end consumers, whether those consumers are enterprise banking platforms, mobile apps, or embedded firmware in smart devices.
“The key to fast release cycles and easy updates is small changes that are delivered quickly and seamlessly to the end consumers. Ideally, the flow is continuous, like flowing water.”
— Fred Simon, Co-Founder and Chief Architect, JFrog
Choosing Open, Interoperable Tooling
One of the most practical steps an organization can take to smooth the DevOps transition is to get its toolchain right. According to Simon, many enterprises are moving toward open solutions that foster diversity while maintaining a common, integrated pipeline.
“Rather than one dominant DevOps platform, most DevOps tool providers are actually eating their own dog food by using DevOps best practices to release fast, with open systems that easily integrate with one another.”
The integration chain should span the full lifecycle: version control (such as Git), CI/CD platforms, code review tools, testing frameworks, and runtime environments. The harder it is to hand work between these stages, the slower the overall system becomes—and the greater the chance that security vulnerabilities and regressions go undetected.
Multi-Language Development and REST APIs
A well-designed REST API is a powerful enabler in a DevOps pipeline because it allows development teams to select the right language and runtime for a given service without coupling the entire organization to a single technology stack.
“The fact that today’s developers are using more than one language, and everyone is using the language that fits their environment and needs, is pushing innovation, speed of development and software creation forward,” Simon noted. “Multiple development teams using different languages can work on the same product and provide a single experience to the end user—which is something very recent and quite amazing for our industry.”
On the operations side, however, the challenges are different. Simon points out that the primary friction on the ops side centers on runtime platforms and orchestration tooling: Java VMs, Go runtimes, Kubernetes, Docker, and the monitoring and automation layers that tie them together at scale.
Key Development Tools for DevOps Pipelines
The following tools represent widely adopted solutions across the development stages of a modern DevOps pipeline. This is not an exhaustive list, but these tools address common needs from build management and version control through project tracking and environment consistency.
Apache Maven
Apache Maven originated as part of the Apache Turbine project and was designed to simplify build and dependency management for Java-based projects. It provides a uniform build system, a best-practices project structure, and declarative dependency resolution via a Project Object Model (POM) file. Maven’s goal is to give a developer a complete, reproducible project build state in a predictable way.
Bitbucket
Bitbucket is a distributed version control platform designed for team-scale code collaboration. It supports both Git and (historically) Mercurial repositories, and emphasizes pull requests for code review, granular branch-level access control, and integration with CI/CD pipelines. It is commonly used in organizations already invested in the Atlassian ecosystem alongside Jira and Confluence.
GitHub
GitHub is a web-based Git hosting platform supporting both open-source and private repositories. It provides lightweight code review via pull requests, project management boards, GitHub Actions for CI/CD automation, and an extensive ecosystem of integrations. It has a very large global developer community and is widely used as the default home for open-source software projects.
JFrog Artifactory
JFrog provides artifact lifecycle management as a core DevOps infrastructure component. Its flagship product, Artifactory, acts as a universal package repository supporting formats including Maven, npm, Docker, Helm, and others. It offers binary transparency, release management, and integration with major CI servers, enabling organizations to track exactly what artifact is running in production at any point in time.
Jira
Jira, developed by Atlassian, is a project tracking and issue management platform tailored for agile software teams. It supports Scrum and Kanban boards, sprint planning, backlog management, and real-time reporting. It integrates with most major development and CI/CD tools, making it a common central coordination point for engineering teams practicing iterative delivery.
Vagrant
Vagrant, developed by HashiCorp, automates the creation and provisioning of development virtual machines using a simple declarative configuration file (Vagrantfile). It supports providers including VirtualBox, VMware, and cloud platforms. Vagrant’s primary value in a DevOps context is ensuring that every team member works in an identical, reproducible local environment, reducing the classic “works on my machine” class of bugs.
Visual Studio
Visual Studio is Microsoft’s full-featured integrated development environment (IDE), supporting development for Windows, web, cloud, Android, and iOS targets. It includes debugging, profiling, testing, and source control integration tools. Visual Studio Code, the lightweight cross-platform sibling, has become especially popular in DevOps workflows due to its extensibility and broad language support.
webpack
webpack is an open-source JavaScript module bundler. It builds a dependency graph of a project’s modules and assets, then bundles them into optimized output files for the browser. It is highly configurable via a JavaScript configuration object, supports loaders and plugins for transforming assets (such as transpiling TypeScript or processing CSS), and is a standard part of modern front-end build pipelines.
Building a Pipeline That Works for Developers
The underlying theme across all of these tools and practices is developer experience. A DevOps pipeline that automates toil, surfaces feedback quickly, and integrates cleanly across the software lifecycle enables developers to focus on what they do best: writing code that solves real user problems.
The development side of DevOps is not just about tool selection. It requires deliberate decisions about pipeline architecture, artifact management, environment reproducibility, and cross-team communication. Done well, these decisions compound over time—producing faster releases, fewer production incidents, and a measurably better user experience.