JFrog announced a new machine learning (ML) lifecycle integration between JFrog Artifactory and MLflow, an open source software platform originally developed by Databricks.
It’s no secret that DevOps is taking the enterprise by storm. In a recent RightScale survey, more than 80 percent of the enterprise and 70 percent of SMBs are adopting DevOps.
At its core, DevOps is about building and delivering quality software at scale. But exactly how you go about doing that is going to vary from company to person to project. DevOps does not look the same anywhere.
As our VP of Worldwide Transformation Justin Arbuckle describes in Data Economy, an effective approach to changing your development processes and teams should start with ALDO – Agile Lean DevOps Outcomes. As he notes, begin with “a practical discussion about what you’re trying to achieve. Then you consider what combination of approaches will help deliver the results you need.” Let’s take a closer look at ALDO:
■ Agile makes and delivers projects in smaller chunks. And the ability to change what you’re building, based on customer feedback, while you’re building it.
■ Lean removes barriers that add friction to your development process. Or those that add friction to your attempts to create value for the customer.
■ DevOps ensures everybody across your organization who is a stakeholder in the outcome of a particular application, is also stakeholder in its creation.
■ Outcome: Now what task in the world isn’t better tackled by breaking it down into smaller pieces? Or adapting if the task changes? Or using more efficient processes? Or collaborating more?
And while these concepts may seem daunting, you don’t need to boil the ocean to get started. As our CEO Barry Crist told Caroline Donnelly of Computerweekly: "The best way to drive change is, instead of having a very conceptual conversation about things, to get people from across the whole IT stack and get them working on one thing. The result will become readily apparent."
So if you’re looking to start driving change inside your organization, it just takes one project and the courage to test out a new approach.
Lucas Welch is Director of Communications at Chef
Industry News
Copado announced the general availability of Test Copilot, the AI-powered test creation assistant.
SmartBear has added no-code test automation powered by GenAI to its Zephyr Scale, the solution that delivers scalable, performant test management inside Jira.
Opsera announced that two new patents have been issued for its Unified DevOps Platform, now totaling nine patents issued for the cloud-native DevOps Platform.
mabl announced the addition of mobile application testing to its platform.
Spectro Cloud announced the achievement of a new Amazon Web Services (AWS) Competency designation.
GitLab announced the general availability of GitLab Duo Chat.
SmartBear announced a new version of its API design and documentation tool, SwaggerHub, integrating Stoplight’s API open source tools.
Red Hat announced updates to Red Hat Trusted Software Supply Chain.
Tricentis announced the latest update to the company’s AI offerings with the launch of Tricentis Copilot, a suite of solutions leveraging generative AI to enhance productivity throughout the entire testing lifecycle.
CIQ launched fully supported, upstream stable kernels for Rocky Linux via the CIQ Enterprise Linux Platform, providing enhanced performance, hardware compatibility and security.
Redgate launched an enterprise version of its database monitoring tool, providing a range of new features to address the challenges of scale and complexity faced by larger organizations.
Snyk announced the expansion of its current partnership with Google Cloud to advance secure code generated by Google Cloud’s generative-AI-powered collaborator service, Gemini Code Assist.
Kong announced the commercial availability of Kong Konnect Dedicated Cloud Gateways on Amazon Web Services (AWS).
Pegasystems announced the general availability of Pega Infinity ’24.1™.