Operations | Monitoring | ITSM | DevOps | Cloud

When your Python app starts slowing down, maybe queries are taking longer, memory keeps creeping up, or API calls are lagging—basic server metrics won’t tell you why. You need to see what’s happening inside the application itself. That’s the role of Application Performance Monitoring (APM). It gives you a breakdown of database queries, external API calls, memory usage, error rates, and more, so you can connect the dots between code and performance.

Serverless applications are becoming the go-to architecture for modern developers. Startups and enterprises are building serverless applications because they offer scalability, cost-efficiency, and flexibility. However, these advantages come with unique challenges, especially when it comes to monitoring serverless applications. Traditional server monitoring tools fail to capture short-lived functions, making serverless application monitoring essential for maintaining performance and reliability.

Good news – Early Warning Signals are now available in Google Chat! This means you’ll get real-time alerts about possible outages—before providers officially acknowledge them—delivered right where your team is already chatting and collaborating.

Top tips is a weekly column where we highlight what’s trending in the tech world and list ways to explore these trends. This week, we’re looking at how to keep your cool when everything lands on your desk with an ASAP tag. There’s always that day at work. Meetings stacked back-to-back, emails piling faster than you can open them, and just when you think you’ve got a handle on things, your boss drops the golden line: Can you get this done today?

Passed in 1996, the Health Insurance Portability and Accountability Act (HIPAA) was established to improve the healthcare system’s storage and use of patient data. As health insurance and healthcare services modernize and digitalize, more health information is stored, transferred, and updated digitally.

Note: A version of this post originally appeared on the OpenTelemetry blog. Victoria Nduka is user experience designer and open source contributor making her way into the cloud native space. She writes about design, accessibility, and open source with the same curiosity she brings to her work. On May 29, I wrapped up my mentorship with Prometheus through the Linux Foundation mentorship program.

A few months ago, I built an MCP server for Toronto’s Open Data portal so an agent could fetch datasets relevant to a user’s question. I threw the first version together, skimmed the code, and everything looked fine. Then I asked Claude: “What are all the traffic-related data sources for the city of Toronto?” The tool call fired. I got relevant results. And then I hit an error: “Conversation is too long, please start a new conversation.” I had only asked one question.

At a high level, incident remediation is a part of the incident response process. An Incident response plan manages the incident lifecycle across planning, detection, investigation, and recovery. Meanwhile, incident remediation focuses on identifying root causes and implementing measures to prevent future occurrences.