The key selections of AI/ML integration in CI/CD pipelines assist through automating test cases, predictive analytics and self-healing principles, each helping to achieve a higher scope of proficiency in the required dimension for individual segments. Source: DevOps.com
0 CommentsAmazon Bedrock is expanding its foundation model (FM) offerings as the generative AI field evolves. Today, we’re excited to announce the availability of Anthropic’s Claude 3.7 Sonnet foundation model in Amazon Bedrock. As Anthropic’s most intelligent model to date, Claude 3.7 Sonnet stands out as their first hybrid reasoning model capable of producing quick responses […]
0 CommentsAWS Developer Day 2025, held on February 20th, showcased how to integrate responsible generative AI into development workflows. The event featured keynotes from AWS leaders including Srini Iragavarapu, Director Generative AI Applications and Developer Experiences, Jeff Barr, Vice President of AWS Evangelism, David Nalley, Director Open Source Marketing of AWS, along with AWS Heroes and technical […]
0 CommentsGitLab is now making generally available an edition of the company’s Duo DevOps platform infused with artificial intelligence (AI) capabilities for self-hosted IT environments. Source: DevOps.com
0 CommentsEndor Labs has allied with GitHub to integrate its software composition analysis (SCA) tools directly within DevOps workflows. Source: DevOps.com
0 CommentsDevSecOps is failing because we underestimated the complexity of cultural transformation and the importance of human-centered tools. Source: DevOps.com
0 CommentsThe new Arm extension for GitHub Copilot streamlines migration to Arm architecture, reducing development time while offering architecture-specific guidance and optimization. Source: DevOps.com
0 CommentsSawmills today emerged from stealth to launch a platform that makes use of artificial intelligence (AI) models to manage telemetry data more cost-effectively. Source: DevOps.com
0 CommentsCary, North Carolina, 19th February 2025, CyberNewsWire Source: DevOps.com
0 CommentsWe’ve spent years refining our ability to monitor systems, applications and networks, yet businesses still struggle with performance issues. The problem isn’t a lack of data—it’s too much of it. IT, network and cloud operations organizations are overrun with massive amounts of monitoring, performance and telemetry data. So much so, we must move for dashboards […]
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