Sonata Software launched IntellQA, a Harmoni.AI powered testing automation and acceleration platform designed to transform software delivery for global enterprises.
Octopus Deploy announced the launch of its long-awaited Config as Code feature, delivering the power of Git for tracking changes with the usability of Octopus's UI.
Octopus Deploy has set the standard for Config as Code by including all the benefits developers love about Config as Code without the downsides, namely poor user experience. With Config as Code, Octopus Deploy built a robust Git-persistent layer alongside the existing database implementation. Developers can see their deployment process in Git next to their application code and evolve them side-by-side.
"Config as Code has been one of the most requested features from our community. But when we asked customers about Config as Code in other products, we heard positives and negatives. They spoke about the power of Git and version controlling their processes, but also about their reduced user experience and the frustration of hand-writing YAML. So we set out to build something better. We wanted to give customers all the upsides of Config as Code, with none of the downside," said Paul Stovell, founder and CEO of Octopus Deploy.
"With this feature, customers get the benefits of Config as Code, but with a UI that still makes it easy for the entire team to collaborate on the deployment process, and without the frustrations of hand-writing YAML."
Some developers prefer to edit their CI/CD configuration with a web UI, whereas others prefer to use a text editor. Octopus provides a no-compromise solution, so you can work where you're most productive. You can configure your Git repository, select your branch, commit changes, and more, all from the Octopus UI. Octopus also built a Visual Studio Code extension to make editing Octopus configuration files a great experience, with syntax highlighting, code snippets, and fast navigation.
Config as Code allows developers to:
- Support multiple versions of their deployment process with branches
- Review, approve, and merge changes to their deployment process with pull requests
- View the history of changes to their deployment process, including who performed changes and when
- Revert to a previous version of their deployment process
Industry News
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Kindo formally launched its channel partner program.
Red Hat announced the latest release of Red Hat Enterprise Linux AI (RHEL AI), Red Hat’s foundation model platform for more seamlessly developing, testing and running generative artificial intelligence (gen AI) models for enterprise applications.
Fastly announced the general availability of Fastly AI Accelerator.
Amazon Web Services (AWS) announced the launch and general availability of Amazon Q Developer plugins for Datadog and Wiz in the AWS Management Console.
vFunction released new capabilities that solve a major microservices headache for development teams – keeping documentation current as systems evolve – and make it simpler to manage and remediate tech debt.
Check Point® Software Technologies Ltd. announced that Infinity XDR/XPR achieved a 100% detection rate in the rigorous 2024 MITRE ATT&CK® Evaluations.
CyberArk announced the launch of FuzzyAI, an open-source framework that helps organizations identify and address AI model vulnerabilities, like guardrail bypassing and harmful output generation, in cloud-hosted and in-house AI models.
Grid Dynamics announced the launch of its developer portal.
LTIMindtree announced a strategic partnership with GitHub.
Solace announced the addition of micro-integrations to its event-driven integration and streaming platform, Solace PubSub+ Platform.
GitGuardian has unveiled its NHI Security strategy, a transformative approach to securing the explosive growth of NHIs and the secrets they depend on.
Linkerd announced the release of Linkerd 2.17, a new version of Linkerd that introduces several major new features to the project: egress traffic visibility and control; rate limiting; and federated services, a powerful new multicluster primitive that combines services running in multiple clusters into a single logical service.
Amazon Web Services (AWS) announced new capabilities for Amazon Q Developer, a generative AI assistant for software development, that take the undifferentiated heavy-lifting out of complex and time-consuming application migration and modernization projects, saving customers and partners time and money.