Remove Artificial Intelligence Remove Continuous Delivery Remove DevOps Remove SDLC
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The DevOps Trends Forecast for 2020

RapidValue

DevOps’, a term that was coined a decade before has grown to become a household name in the IT industry. A recent Markets and Markets Research Report suggests that the DevOps Market Size is expected to grow to USD 10.31 Read on to know more about the trends that are about to affect the future of DevOps. Billion by 2023.

DevOps 69
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Despite Concerns, AI Increasingly Used to Build Software

DevOps.com

A GitLab survey found AI is increasingly used to build software despite concerns about introducing it into the SDLC.

SDLC 139
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The Essential DevOps Process We're Ignoring: Continuous Response

CloudScaling

Continuous response—or “CR”—is an overlooked link in the DevOps process chain. The two other major links—continuous integration (CI) and continuous delivery (CD)—are well understood, but CR is not. What is Continuous Response (CR)? CR, like CI or CD is a DevOps process supported by a set of underlying tools.

DevOps 56
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4 Rs for Scaling your testing? The first steps towards a rewarding engagement

Trigent

With the increased adoption of DevOps, the need to scale takes a different color altogether. Further, given the blurring lines between QA and development with testing being integrated across the SDLC, there is a strong need for the partner to have strengths across DevOps, CI/CD in order to make a tangible impact on the delivery cycle.

Testing 98
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What Is CloudOps and Is It the Right Choice for Your Organization?

Altexsoft

CloudOps is a methodology that takes DevOps to the cloud. CloudOps codifies best practices and procedures for cloud-based operational processes, similarly to how DevOps codifies software development and delivery processes. CloudOps vs. DevOps. Both CloudOps and DevOps are agile development methodologies.

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Kubernetes and Artificial Intelligence/Machine Learning (AI/ML) — Four Things to Understand Today

Blue Sentry

Even if they do, many projects get stuck in the ever-so-fragile SDLC. When we look at ML deployments, there are a ton of different platform and resource considerations to manage, and CI/CD (Continuous Integration & Continuous Delivery) teams are often managing all of these resources across a variety of different microservices (i.e.,

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Software Engineering Daily: Feature Flags with Edith Harbaugh

LaunchDarkly

Edith joins the show to discuss how to implement feature flagging, why an intelligent release process can lead to a more scientific predictable environment for software development and many other topics. Isn’t that just config files and isn’t that just a feature itself in like a continuous delivery platform or a cloud provider?