September 4, 2018 bestdevops DevOps, DevOps Best Practices, DevOps Updates Leave a comment

DevOps & machine learning improves app performance!

Source – devopsonline.co.uk Machine learning has been hyped (and in some cases overhyped). However, one successful DevOps use case for machine learning is application performance management. Why? Simply put, machine learning is needed to analyse the volume, velocity, and variety of big data generated by today’s dynamic application environments. By applying machine learning to identify patterns and anomalies, DevOps teams can better troubleshoot intermittent and complex problems, understand usage patterns, reduce bug rates, and improve the customer experience. What’s changed? Modern applications based on

September 4, 2018 bestdevops Agile, DevOps Leave a comment

8 ways Artificial Intelligence can improve DevOps

Source – hub.packtpub.com DevOps combines development and operations in an agile manner. ITOps refers to network infrastructure, computer operations, and device management. AIOps is artificial intelligence applied to ITOps, a term coined by Gartner. Makes us wonder what AI applied to DevOps would look like. Currently, there are some problem areas in DevOps that mainly revolve around data. Namely, accessing the large pool of data, taking actions on it, managing alerts etc. Moreover, there are errors caused by human intervention. AI works heavily with data and can help improve DevOps in numerous

August 17, 2018 bestdevops DevOps, DevOps Best Practices Leave a comment

OverOps Brings Machine Learning to DevOps

Source – devops.com OverOps has launched a namesake platform employing machine learning algorithms to capture data from an IT environment that identify potential issues before a DevOps team decides to promote an application into production. Company CTO Tal Weiss said the OverOps Platform is unique in that, rather than relying on log data, it combines static and dynamic analysis of code as it executes to detect issue. That data then can be accessed either via dashboards or shared with other tools via an

August 13, 2018 bestdevops DevOps, DevOps Best Practices, DevOps News Leave a comment

Applying machine learning to DevOps

Source – jaxenter.com DevOps methodologies are rapidly increasing and generating vast and diverse data sets across the life cycle of entire application including development, deployment, and performance management. Only a robust analysis and monitoring layer can particularly harness this data for the ultimate DevOps goal that is end-to-end automation. The rise of machine learning and its related capabilities, such as artificial intelligence and predictive analytics, has pushed organizations to explore implementing new analysis models that mainly rely on mathematical algorithms.

August 10, 2018 bestdevops DevOps, DevOps Best Practices, DevOps Updates Leave a comment

DevOps 101: Adopt Continuous Innovation

Source – informationweek.com DevOps requires some hard work and tough choices, but in the end can keep a business competitive and innovative. I’ve spent a good portion of my career interacting with DevOps, but from an infrastructure and data center perspective. In that role, my goal was to eliminate legacy components from infrastructure so that the entire process could then impact both DevOps and the business overall. Today, my focus has shifted into the world of cloud, DevOps, and advanced technology

August 3, 2018 bestdevops DevOps, DevOps Best Practices Leave a comment

When AI meets DevOps: Getting the best out of both worlds

Source – cloudcomputing-news.net DevOps has been widely embraced by businesses under pressure to get competitively advantageous digital deliverables to market at the fastest possible cadence—especially given the reality of limited coder headcount and the need to rigorously avoid brand-toxic snafus in the customer experience. Artificial intelligence (AI), in stark contrast, is a potentially transformative digital discipline that is still very new to most enterprise IT organizations. But while it’s certainly important that CIOs nurture AI adoption with appropriately resourced pilots, it’s

July 19, 2018 bestdevops DevOps Leave a comment

How Artificial Intelligence, Machine Learning Can Help DevOps

Source – devops.com Artificial intelligence (AI) and machine learning (ML) can help the humans in DevOps break free from focusing on simple activities. One aspect of DevOps is automating routine and repeatable actions, and AI and ML can perform these activities with enhanced efficiency to improve the performance of teams and business. There are algorithms that can perform many operations and procedures, allowing those in DevOps to execute their part effectively. This article discusses how DevOps engineers can use AI and

July 13, 2018 bestdevops Cloud Computing, DevOps Leave a comment

Why digital business transformation depends on public cloud networking

Source – cloudcomputing-news.net Companies increasingly seek digital business transformation. From a purely technology perspective, most pieces are in place for this transformation to occur. But too often, one thing is inhibiting the process: public cloud networking complexity. The public cloud is becoming the new foundation for what the cloud does. Important things will continue to happen in on-premises data centres, intelligent edge devices, and branch offices. But more new enterprise applications are emerging whose centre of gravity is the public cloud. Within

July 12, 2018 bestdevops Continuous Delivery, Continuous Integration, DevOps Leave a comment

Modern service management, DevOps streamline app administration

Source – techtarget.com The term DevOps is thrown around with such frequency and verve among IT professionals that it seems like a magic elixir for every operational challenge in the era of agile applications and virtual infrastructure. Bring developers and IT together, add in some code and automation tools and voila: The IT org runs as efficiently and swiftly as a cloud-native startup. The hard reality of execution collides with the idealistic conception; there’s more to modern service management than banishing organizational silos

July 3, 2018 bestdevops DevOps Leave a comment

When AI meets DevOps: Getting the best out of both worlds

June 29, 2018 bestdevops IT Training Leave a comment

Re-Architecting Log Management for DevOps

Source – itbusinessedge.com Log management in a DevOps environment requires a lot more than just the right platform. As enterprises become more steeped in DevOps processes, tools like deep visibility and AI-driven analytics are proving invaluable to continuous integration/continuous deployment (CI/CD). But in many cases, even the most advanced of these technologies will fail to produce the desired results if not implemented and orchestrated properly. Among the initial questions organizations face when revamping their log practices is what components to log and

June 13, 2018 bestdevops Agile, Continuous Integration, DevOps Leave a comment

AI-powered DevOps is how CA wants to reinvent software development and itself

Source – zdnet.com CA is one of the oldest, most traditional enterprise software companies around. As such, it has not exactly been synonymous with innovation. But Ashok Reddy, its DevOps general manager, says this is changing, and CA is reinventing how DevOps is used to develop and deploy software throughout its lifecycle, based on data, machine learning, and AI. IF EVERYONE IS USING THE SAME SOFTWARE AS A SERVICE, DIFFERENTIATION COMES THROUGH DYNAMICALLY ADAPTING TO DATA CA has come a long way since

June 12, 2018 bestdevops DevOps, IT trends Leave a comment

Why DevOps Is Your Key to Becoming a Digital Entity

Source – informationweek.com I’ve been working with a lot of organizations that are in full-swing with their “digital transformation” initiatives. They’re doing virtualization, cloud, better security, and focusing on improved user mobility. From there, you can throw in a bunch of other market trending words like AI, machine learning, and you’ve got some pretty impressive things down on paper. Sound familiar? It’s quite possible that you’re in your own process to “digitize” your organization. However, a major challenge over these years

May 17, 2018 bestdevops IT trends Leave a comment

List Of Top 10 Technologies To Learn In Near Future If You Are An IT Guy

Source:- devopsengineersclub.com & Wikipedia Now a days, lots of students of IT are moving to learn programming languages such as PHP, Java, ASP.NET, Android and so on. But there is a world apart from the programming that needs to be explored. I am not discouraging you for programming. Programming should not be ignored if your are a IT graduates. You must have to be good at any of the programming languages such as python or Java or PHP. But apart from

May 12, 2018 bestdevops Agile, DevOps Leave a comment

How Microsoft, Google, AWS and Facebook are battling to democratise AI for developers

Source – computerworlduk.com Developer conference season is in full flow, with Facebook’s F8 last week and Microsoft Build, Google I/O and Amazon Web Services holding a London Summit this week, and they all had one thing in common: the goal of making AI technology more accessible for developers on their platforms. The big three cloud vendors made a slew of announcements this week, although AWS holds back most of its good stuff for re:Invent in Las Vegas later on in the year,

May 10, 2018 bestdevops DevOps, DevOps Tools Leave a comment

How Kubernetes allows developers to deploy without worrying about DevOps

Source – siliconangle.com As an active distributor of the Kubernetes container orchestration management system, Canonical Ltd is giving developers a way to step up their game. The company is taking away the developer operations component to the developer job so they are free to focus on other important aspects of development that they have more expertise in, according to Stephan Fabel (pictured), director of product management at Canonical. “… We’ve been very active in this space fairly early on and have been an active distributor of Kubernetes and a

May 1, 2018 bestdevops DevOps Leave a comment

The Next Generation of DevOps: ML Ops

Source – insidebigdata.com In this special guest feature, Debashis Saha, Vice President of Platform Engineering at Intuit, discusses how DevOps methodologies can be applied to machine learning, in what he calls “ML Ops.” With ML Ops, he believes it can provide an end-to-end automation of the process, creating transparency and delivering efficiency and productivity for everyoenbody involved to deliver value rapidly. As VP of Platform Engineering for Intuit, Debashis leads the engineering teams responsible for the platform, developer and application services that

April 21, 2018 bestdevops DevOps Leave a comment

DevOps and Machine Learning are highly demanded jobs this year

Source – techworm.net DevOps and machine learning professionals to control technology opportunities this year Stack Overflow, a popular developer community and jobs site, published their eight Annual Developer Survey results this year, which saw over 100,000 developers around the world take the 30-minute survey. The survey conducted by Stack Overflow reveals that DevOps and machine learning engineers earn highest salaries in the tech sector, averaging between $70,000 and $90,000 a year worldwide. However, salaries for these two ranges between $110,000 annually for DevOps

April 5, 2018 bestdevops DevOps Leave a comment

Seven steps to move a DevOps team into the ML and AI world

Source – techtarget.com Nobody questions the potential for machine learning and artificial intelligence to revolutionize DevOps productivity and business efficiency as a whole, really. An invisible hand, however, keeps organizations from seeing ML and AI to their full potential. There are seven basic rules to implement ML and AI in real-life DevOps situations. Done right, ML/AI and DevOps can turn enterprises into digital attackers that release higher-quality software faster and at lower cost. To release on time and within budget, there

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