Operations | Monitoring | ITSM | DevOps | Cloud

Inside Pandora's Box: How CloudZero AI Hub Cracks Cloud Cost Intelligence

Years in the FinOps trenches taught me one thing: The data has never been the problem. The data exists. It’s out there, scattered across provider invoices, buried in tagging gaps, locked behind dashboards that maybe three people in your org actually know how to navigate. The real problem? Nobody can get to it when they need it. Engineers ship features without understanding what they cost the business, let alone whether they improved margin.

How does AI enhance search?

Explore how artificial intelligence enhances search engines through semantic understanding, vector embeddings, and contextual retrieval. Learn how AI-powered search delivers faster and more accurate results. Additional Resources: About Elastic Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale. Elastic’s solutions for search, observability, and security are built on the Elastic Search AI Platform — the development platform used by thousands of companies, including more than 50% of the Fortune 500.

AI SRE in Practice: Enabling Non-Experts to Troubleshoot Kubernetes

Kubernetes troubleshooting traditionally requires deep platform expertise. Understanding pod lifecycle, decoding error messages, correlating events across resources, and identifying root cause all demand experience that takes years to build. This expertise gap creates a bottleneck where only senior engineers can handle production issues, limiting how quickly teams can resolve incidents.

Buy vs Build in the Age of AI (Part 1)

A few months ago, I spoke to an engineering manager who proudly told me they had rebuilt their monitoring stack over a long weekend. They’d used AI to scaffold synthetic checks. They’d generated alert logic with dynamic thresholds. They’d then wired everything into Slack and PagerDuty, and built a clean internal dashboard. “It used to take us weeks to prototype something like this,” they said. “Now it’s basically instant.” They weren’t wrong.

Claude Code Security Launch Triggers Cybersecurity Industry Reassessment

On February 20, 2026, Anthropic launched Claude Code Security, an AI-based tool to scan codebases, identify security weaknesses, and provide patching solutions. The Claude Code preview caused a panic that resulted in billions in lost market capitalization among cybersecurity stocks. CrowdStrike shares decreased by 8%, reaching approximately $388.87, while Okta experienced a 9.2% decline and Zscaler saw a 5.5% drop in its stock price. That demonstrates the increasing investor anxiety about AI technology developments that threaten to disrupt established cybersecurity frameworks.

Did ChatGPT take down Claude?

On March 2, 2026, Claude experienced a widespread service disruption that affected users across North America, Europe, Asia, and Australia. The outage quickly drew significant media attention, with numerous technology news outlets reporting on user frustration and downtime. In the early hours of the incident, some commentators speculated that the disruption may have been caused by a sudden influx of new users migrating from OpenAI. However, there is no public evidence confirming that theory.

Responsible transformation: Agentic AI for the public sector

The world is transforming, and artificial intelligence, especially agentic AI, is quickly becoming embedded across private and public sectors. For government agencies, law enforcement, and mission-critical organizations, embracing this new reality is uniquely challenging. On the one hand, agentic AI promises measurable improvements: modernized IT workflows, faster analysis, improved citizen services, and operational efficiency.

CloudZero Launches Claude Code Plugin To Bring Cost Intelligence Into Engineering Workflows

Today we’re announcing the CloudZero Claude Code Plugin, a new capability that puts CloudZero’s full cost intelligence model directly inside Claude Code, where engineers and technical FinOps practitioners already work. The plugin connects a Model Context Protocol (MCP) server and nine pre-packaged investigation skills to CloudZero’s cost data, covering cloud and AI spend across AWS, GCP, Azure, Snowflake, MongoDB, OpenAI, Anthropic, and more.