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IT outages cost companies over $14,000 per minute. IBM Research’s Project ALICE uses multiple AI agents to help engineers find bugs faster and restore systems. Software bugs are expensive. When a critical system goes down, every minute of downtime costs revenue, frustrates customers, and strains engineering teams scrambling to find the problem. The challenge isn’t
Discover how AI and ML are revolutionizing DevOps through intelligent automation, autonomous CI/CD pipelines, AIOps, enhanced security, predictive analytics, and self-healing systems. Learn why AI-powered DevOps is essential for modern enterprises.
Our DevOps jobs report, top openings, salaries and insights to help DevOps professionals advance their careers in a tight talent market.
Anthropic says it has acquired Bun, a high-performance JavaScript toolkit, to turbocharge its artificial intelligence (AI) coding capabilities — further underscoring a significant push into developer tooling as it scales Claude Code, its code-generation platform. Financial terms of the deal were not disclosed, but Anthropic emphasized that Bun will remain open source and MIT-licensed. The
Agentic AI transforms observability by using autonomous agents to analyze telemetry, detect issues, and execute fixes—cutting MTTR and eliminating manual SRE toil.
A malicious Rust package that was found to be downloading payloads aimed at stealing cryptocurrency was removed from the crates.io Rust package registry, along with another package by the same author that appeared benign but was dependent on the first. The crates.io team removed both packages this week after security researchers with Socket alerted it
Harness this week extended its alliance with Amazon Web Services (AWS) to integrate their respective artificial intelligence (AI) agents to automate DevOps workflows. Announced at the AWS re:Invent 2025 conference, Harness is now integrating the Model Context Protocol (MCP) server it added to its continuous integration/continuous delivery (CI/CD) platform with the Kiro AI coding tool
AI-powered tools and coding assistants have become popular and widely used among software developers for several reasons. They promise to deliver not only speed and comfort but also a tool for filling knowledge gaps in engineering teams that are short on time and resources. You can leverage such tools to generate code that handles complex
Amazon Web Services (AWS) today at its re:Invent 2025 conference extended its Kiro artificial intelligence (AI) tool to provide access to a set of agents that have been trained to trigger specific actions as they observe the way code is being created. Adnan Ijaz, director of project management for Kiro at AWS, said these specialized
Discover how Enterprise IntelliScope unifies observability, AI reasoning and human-in-the-loop governance to deliver proactive incident management and reliability at scale.
