Operations | Monitoring | ITSM | DevOps | Cloud

Microsoft Defender does a great job protecting you and your organization from online threats. It is constantly working to detect and collect security data so you don’t have to worry about falling behind on incidents and vulnerabilities. The Defender portal can also provide great insights into that data, but connecting it to the rest of your stack is difficult.

The modern service desk is not short on entry points. In fact, employees can open a portal, search a knowledge base, start a chatbot conversation, or submit a ticket from almost anywhere. In theory, that should mean fewer queues and faster resolution. But if access to IT has improved so dramatically, why has the operational burden behind each interaction barely moved?

Improved IT asset management, AI-powered actions, and usability improvements for Alloy mobile apps.

Traditional monitoring tracks system health by collecting data such as metrics and logs, this data is checked to see if a system is behaving as expected and alerts are raised if errors or anomalous data values are found. This works well in stable, predictable environments, but modern IT systems are far more complex and dynamic. In distributed architectures like microservices and cloud-native platforms, predefined alerts usually aren’t enough to explain why a failure is happening.

Decades ago, IT operations was relatively simple, with a few components such as client, server, network, and the static environments. IT teams relied on manual analysis to manage these systems. Over time, however, IT operations has evolved significantly, driving the adoption of AIOps technologies.

Bring your Codex agent into Bitbucket Pipelines. A few weeks ago, we announced support for Claude agents in Bitbucket Pipelines. Today, we’re adding OpenAI Codex as a supported agent. If your team is already using Codex on the desktop, you can now move that same workflow into your pipeline — triggered by a merge, a schedule, a failing build, or a pull request comment.

The Anthropic Enterprise connector pulls per-user Claude Enterprise cost and usage into CloudZero, so you can allocate Claude spend to the teams that drove it.

Point A: 1835. Andrew Carnegie is born in a weaver’s cottage in Dunfermline, Scotland. The cottage has one main room, which the Carnegies share with another family. Point B: 1901. Andrew Carnegie becomes the richest man in the world when Carnegie Steel Company wins the Iron vs. Steel industrialists’ war, and he sells the company to J.P. Morgan for the modern equivalent of $450 billion.

Reliability guardrails help make sure that your applications stay reliable without slowing down. In an earlier blog, we went into why agentic AI development needs reliability guardrails. It went over how the increased speed of AI development demands automated guardrails to verify resilience and what kinds of tests these guardrails should cover. But that’s only the beginning. By themselves, guardrails act as a gate to ensure resilience mechanisms hold under rapid changes.