JFrog announced a new machine learning (ML) lifecycle integration between JFrog Artifactory and MLflow, an open source software platform originally developed by Databricks.
Trunk announces the public launch of CI Analytics.
This new product allows engineers to analyze, monitor, fix and improve their workflows in GitHub Actions, adding to Trunk’s overall toolkit.
It’s difficult for one engineer to keep tabs on the performance aspect of every job in the system or run proper experiments to understand how CI workflows could impact real world performance. Backed by Initialized and a16z with $28.5 million in funding, Trunk was launched in 2021 to create a holistic developer experience toolkit. Trunk CI Analytics builds on that mission by offering teams a complete picture of their GitHub Actions with recent and historical views of their workflows, allowing them to easily validate which pieces of their CI system are healthy or in need of investigation.
“With CI Analytics, we’re pulling back the curtain on the CI blackbox. Without a proper engineering intelligence solution, DevOps and engineering teams are left operating in the dark and engineers are left to guess at what parts of their build and test workflows are slowing down engineering. Trunk CI Analytics eliminates the guesswork with beautiful trend lines, anomaly alerting, and the ability to perform deep historical analysis within a few clicks. Operating without this level of engineering intelligence can be the difference between shipping code on time and slowly grinding to a halt,” said Eli Schleifer, Co-CEO and Co-Founder of Trunk.
For example, CI Analytics will confirm your suspicions around the system degradation that seems to have crept in with brilliant technicolor- so you can pinpoint the exact commit that introduced that 31% increase in testing runtime. You can also determine which workflows are consuming the most machine time, how frequently they run and how often they fail.
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™.