The integration of AI and ML in testing is a fundamental shift in how we approach software quality and reliability in DevOps environments. Source: DevOps.com
0 CommentsArtificial intelligence (AI) and machine learning (ML) can play a transformative role across the software development lifecycle, with a special focus on enhancing continuous testing (CT). CT is especially critical in the context of continuous integration/continuous deployment (CI/CD) pipelines, where the need for speed and efficiency must be balanced with the demands for quality and […]
0 CommentsThe applications for enhancing security observability with eBPF are vast, and it’s increasingly valuable for DevSecOps use cases. Source: DevOps.com
0 CommentsYears of SaaS innovation and disruption threaten the profitability of vendor-driven open source projects, forcing licensing changes. Source: DevOps.com
0 CommentsSumo Logic will no longer charge a fee for ingesting log data into its observability platform to encourage DevOps teams to apply analytics more deeply. Source: DevOps.com
0 CommentsArm-based processors, which are increasingly popular, may capture a significant share of the semiconductor market with RISC-V. Source: DevOps.com
0 CommentsappCD’s platform analyzes an application about to be deployed and automatically generates the code to provision the required infrastructure. Source: DevOps.com
0 CommentsPermiso today launched an open source tool dubbed CloudGrappler that surfaces indicators of compromise in cloud computing environments. Source: DevOps.com
0 CommentsDatabase observability unlocks DORA metrics along with other indicators that matter to your DevOps, application, database and IT teams. Source: DevOps.com
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