Operations | Monitoring | ITSM | DevOps | Cloud

We’re excited to announce that we are starting a phased rollout of Rovo Chat in Bitbucket Cloud today! It will be available to 100% of users by September 30th, 2025. To check if it’s available on your account, look for the Rovo Chat button in your top navigation. Rovo is Atlassian’s AI-powered teammate that helps you find what matters, learn faster, and take action right in your workflow.

For many years Redis has been the default for caching, message queues, and fast data storage. However recent changes to its licensing mean that companies who want truly open-source tools need to make a switch. This is why Valkey was created. We are leading the way in offering a smooth path to move your current Redis setups to a fully open-source managed Valkey service.

When milliseconds matter and data never stops flowing, you need a pipeline that can handle high-velocity streaming data with reliability and scale. The modern streaming stack of Kafka, Telegraf, and InfluxDB 3 Core delivers exactly that. To give you a concrete example, this blog works with a fictitious use case: “Papa Giuseppe’s Pizzeria.” Every oven, prep station, and order in this pizza restaurant generates data. Our workflow looks like this.

We are thrilled to announce that the Cortex Model Context Protocol (MCP) is now available in the Devin marketplace. This integration connects the world’s first AI software engineer with the real-time context of your entire engineering ecosystem, as managed and measured by Cortex. The rise of AI software engineers like Devin fundamentally changes how organizations tackle their biggest technical challenges.

Over the past year, major U.S. mobile carriers have shut down their free email-to-SMS and email-to-text services – once common ways to send a text message directly from an email account. AT&T terminated its SMS gateway service in mid-2025, Verizon discontinued its SMS gateway domain in late 2024, and T-Mobile retired its gateway domain in December 2024.

When we set a memory limit for a container, the expectation is simple: if the app leaks memory, the OOM killer steps in, the container dies, Kubernetes restarts it, done. But reality is messier. As a container gets close to its memory limit, allocations don’t just fail instantly. They get slower. The kernel tries to reclaim memory inside the cgroup, and that takes time. Instead of being killed right away, your app just crawls.

Artificial intelligence is everywhere: in keynotes, press releases, product announcements, and quarterly roadmaps. From help desk chatbots to predictive analytics, AI is being positioned as the silver bullet for almost every IT challenge. But under the surface, most IT leaders are asking a much more practical question: What’s actually real?

The New Physics of IT has revealed its second law: resilience isn’t reactive. It is the architecture of leadership itself.

Application Performance Monitoring (APM) helps you understand how your software runs in production. When you track the right metrics, you see how requests move through your system, where slowdowns happen, and how resources are being used. With this knowledge, you can spot issues early and keep your applications reliable for your users. In this blog, we discuss the key APM metrics to monitor, grouped into categories, and why each one matters for performance and user experience.

This could’ve been prevented. This should have been prevented. This too. We all hate getting tagged in PRs. The time, the blame for when you inevitably miss something, and constant “I wouldn’t have written it that way” feeling is just hard to shake. LLMs promised this would get easier. Promised they would do it for us. But as we’ve seen, we’re not there yet. But this is what Sentry does for a living. We catch bugs… in prod.