Operations | Monitoring | ITSM | DevOps | Cloud

The latest News and Information on DevOps, CI/CD, Automation and related technologies.

Bitbucket's new look: user experience and navigation updates coming soon

We’re giving Bitbucket a fresh new look and more streamlined navigation as part of Atlassian’s broader visual system journey. Teams and workflows have improved, and Bitbucket is changing with them. Our goal is to make it faster to find your work, clearer to understand what’s happening, and more enjoyable to use every day—without disrupting what you already know and love. This update aligns Bitbucket with Atlassian’s modern, unified design, and will launch in early 2026.

Your AI Needs Git Context. Meet GitKraken MCP

Give your AI-assistants and agents the repo context they need with GitKraken MCP. Now bundled with GitLens for IDEs. Give your agents full Git context, streamline decisions, and work faster across VS Code, Cursor, and your favorite AI tools. See how MCP connects your repos, providers, and Git into one smart, seamless layer if Git intelligence your agents and you can use. Perfect for developers building with AI. Perfect for teams who want clarity, speed, and zero context loss.

Managing cloud infrastructure with AI assistant and Upsun MCP server

Artificial intelligence is changing the way we execute our everyday operations. AI assistants are incredibly intelligent; they can write code, explain complex concepts, and answer any question you throw at them. However, they can't execute actions on their own. If you ask your AI assistant to “create a backup of my database,” it may provide you with clear instructions, run the CLI commands directly or in some cases, even trigger actions through connected agent workflows.

Mastering AI Spend With CloudZero And LiteLLM

The AI landscape today feels a lot like the early days of the cloud: exciting, fast-moving, and completely fragmented. Every week, engineering teams are experimenting with dozens of large language models (LLMs) from providers like OpenAI, Anthropic, Google, Mistral, Meta, and beyond. They’re tweaking prompts, testing model performance, swapping context windows, and even running multiple models in parallel to figure out which one works best for each unique use case.

Harness and Amazon Team Up to Bring AI-Powered DevOps to Your IDE

Today, we’re excited to announce our expanded partnership with Amazon, bringing together the power of Amazon Kiro, Amazon Q Developer, and Harness SaaS on AWS to revolutionize how your team builds, troubleshoots, secures, and deploys software. This collaboration is designed to deliver a seamless, intelligent, and scalable software delivery experience for all AWS customers.

Reliability at Scale: A Conversation with DevOps Leader Ivan Battimiello

For more than a decade, Ivan Battimiello has been building and scaling distributed engineering systems across Europe and the United States. With experience ranging from game development to full-stack engineering and DevOps leadership, he has led operational transformations for global teams, implemented modern reliability frameworks, and introduced advanced automation practices that dramatically reduced system failures.

9 Monitoring Tools That Deliver AI-Native Anomaly Detection

The observability market has moved beyond manual threshold-setting. Modern platforms use statistical algorithms, machine learning, and causal AI to detect anomalies automatically. Some work immediately after deployment. Others train on your data for better accuracy. Each approach has technical trade-offs worth understanding. This guide compares how nine monitoring solutions handle automated anomaly detection and root cause analysis.