Operations | Monitoring | ITSM | DevOps | Cloud

In today’s digital workplace, speed and precision in IT support can make or break the employee experience. Long resolution times, repetitive troubleshooting, and lack of visibility often frustrate both users and support teams. That’s where Nexthink comes in—bringing powerful capabilities like Amplify, Device View,and Assist to transform how Service Desk teams operate.

Nishad Krishnan is a Software Engineer at Temporal Technologies, where he’s focused on observability and making the “unknown unknowns” slightly less unknown. At Temporal Technologies, our goal is to make it easier for developers to build and operate reliable, scalable applications without sacrificing productivity. Our platform, Temporal, helps ensure that code runs to completion once started, no matter how long it takes or what failures occur along the way.

I admit I was a little skeptical going into KubeCon 2025. The last time I went, in 2022, it felt tactical. I heard lots of conversations around small solutions to small problems. Practical knowledge-sharing is of course beneficial, but I’m most inspired by the big picture — ideally, a picture bigger than you can see anywhere outside of your mind. I’m heartened to say that KubeCon 2025 was exactly that.

The Ingress NGINX Controller is approaching retirement, which has pushed many teams to evaluate their long-term ingress strategy. The familiar Ingress resource has served well, but it comes with clear limits: annotations that differ by vendor, limited extensibility, and few options for separating operator and developer responsibilities. The Gateway API addresses these challenges with a more expressive, standardized, and portable model for service networking.

The software world has spent the last two years obsessed with one question: “Will AI replace developers?” Wrong question. The right question is: “How do developers stay in control while AI becomes part of the toolchain?” Welcome to The Builders Era, where the craft of software development and AI’s computational power meet on developer terms. Not as a replacement narrative. Not as a threat to our profession.

For SREs juggling multiple services, third-party dependencies, and constant alerts, a critical service slowdown can quickly turn into chaos. APM Dashboards may show everything is fine, yet users are still experiencing problems. That gap—between application telemetry and real-world performance—can turn a five-minute fix into a two-hour war room. ‍

Datadog App Builder is a low-code tool for creating internal apps, making use of a drag-and-drop interface that allows engineering teams to troubleshoot issues, optimize operations, and enable self-service while connecting directly to their Datadog data and permissions. Now, with conversational AI, teams can go from idea to working prototype even faster.

AI agents can interact with the world using tools. Those tools can be generic or specific. For example: Generic: Specific: The most general ones, like “run a bash command” and “read and write files” are built into the agent. More specific ones are provided through Model Control Protocol (MCP) servers. Every tool provided to the agent comes with instructions sent as part of the context.

I recorded a video showing how to properly set up TrackJS for a new production website, specifically CertKit, our new certificate lifecycle management tool. The key to effective error monitoring isn’t just installing the tracking snippet, it’s configuring the system to surface real issues while filtering out the noise. I configure a forwarding domain (errors.certkit.io) to bypass ad blockers that might prevent error reporting.