Oracle announced plans for Oracle Code Assist, an AI code companion, to help developers boost velocity and enhance code consistency.
mabl announced an integration with GitLab, the AI-powered DevSecOps platform.
The integration enables development teams to easily leverage the best-in-class platforms for comprehensive end-to-end testing feedback directly within CI/CD pipelines. With the integration, development organizations can understand the impact of code changes on the customer experience, which helps increase pipeline efficiency, and improves customer satisfaction.
By leveraging the mabl integration with GitLab, software teams have the ability to consistently deliver quality products via automated pipelines that maximize developer productivity.
"The future of DevOps is intelligent, collaborative, and bug-free," says mabl co-founder Izzy Azeri. "Mabl's integration with GitLab combines the strength of DevSecOps with the confidence of quality engineering so that development teams can delight their developers and their customers with better experiences."
Automated testing that covers the entire user experience is often too slow, unreliable, and high-maintenance to be truly integrated into CI/CD workflows, forcing companies to choose between velocity and increasing the risk of customer-impacting defects. Through the mabl integration with GitLab, developers can trigger smoke test suites upon commits and regression test suites on pull requests for rapid feedback.
For even faster results, developers have the option to run smoke tests locally using the mabl CLI package. They can then review test results directly in GitLab for streamlined workflows, or follow the accompanying deep links into mabl for comprehensive diagnostics data that helps development teams triage issues faster. Mabl's cloud-native scalability, unlimited parallelization, and autohealing capabilities ensure that developers have the best experience integrating automated testing into their GitLab pipelines for confident deployments, even as their teams accelerate product velocity.
Industry News
New Relic launched Secure Developer Alliance.
Dynatrace is enhancing its platform with new Kubernetes Security Posture Management (KSPM) capabilities for observability-driven security, configuration, and compliance monitoring.
Red Hat announced advances in Red Hat OpenShift AI, an open hybrid artificial intelligence (AI) and machine learning (ML) platform built on Red Hat OpenShift that enables enterprises to create and deliver AI-enabled applications at scale across hybrid clouds.
ServiceNow is introducing new capabilities to help teams create apps and scale workflows faster on the Now Platform and to boost developer and admin productivity.
Red Hat and Oracle announced the general availability of Red Hat OpenShift on Oracle Cloud Infrastructure (OCI) Compute Virtual Machines (VMs).
The Software Engineering Institute at Carnegie Mellon University announced the release of a tool to give a comprehensive visualization of the complete DevSecOps pipeline.
Synopsys has entered into a definitive agreement with Clearlake Capital Group, L.P. and Francisco Partners.
Postman released v11, a significant update that speeds up development by reducing collaboration friction on APIs.
Sysdig announced the launch of the company’s Runtime Insights Partner Ecosystem, recognizing the leading security solutions that combine with Sysdig to help customers prioritize and respond to critical security risks.
Nokod Security announced the general availability of the Nokod Security Platform.
Drata has acquired oak9, a cloud native security platform, and released a new capability in beta to seamlessly bring continuous compliance into the software development lifecycle.
Amazon Web Services (AWS) announced the general availability of Amazon Q, a generative artificial intelligence (AI)-powered assistant for accelerating software development and leveraging companies’ internal data.
Red Hat announced the general availability of Red Hat Enterprise Linux 9.4, the latest version of the enterprise Linux platform.