Operations | Monitoring | ITSM | DevOps | Cloud

Top Tips is a weekly column where we look at what’s shaping the tech world and share practical ways teams can stay prepared for what’s next. This week, we’re focusing on a situation many teams underestimate—what happens to your IT systems when a key leader steps away, and how you can build stability that doesn’t rely on any one person. Some problems don’t show up when things are running smoothly. They show up when someone leaves.

Part of the motivation for this post is how cloud API economics are shifting: Anthropic is moving large enterprise customers toward per-token, usage-based billing (unbundled from flat seat fees), which makes “always call the API” a moving cost line for teams at scale. A hybrid or local layer is one way to keep spend bounded while you still use premium models where they matter.

Collective IQ DEX (CIQ DEX) provides a unified view of the employee experience across different devices, locations, applications, collaboration tools, and even user sentiment. The platform combines intelligent IT asset analysis and employee perception, with drill-down capability to the level of each user and endpoint.

Three notable dnf related improvements making it easier to manage packages on modern Enterprise Linux based systems (Red Hat, Rocky Linux, Alama Linux, etc …) have been merged recently.

The allure of OpenClaw is undeniable. You deploy a highly autonomous, self-hosted AI agent, give it access to your repositories and inboxes, and watch it reason through complex workflows while you sleep. It is the dream of the ultimate 10x developer tool realized. But as any veteran DevOps engineer will tell you: running an LLM-backed Node.js agent in production is vastly different from testing it on your local machine.

Organizations often call product managers the CEOs of the product. But PMs know that’s a myth. When a CEO wants a status report, they get one immediately. They don’t need to negotiate for engineering time, reconcile conflicting project priorities, or wait for a data scientist to find a gap in their schedule. For most PMs, simply understanding the state of the product is where growth can stall.

When developers and SREs design application tests, they often prioritize user workflows and API availability. Extending that suite with network tests that match your app’s traffic protocols can reveal whether issues originate in the network or application layer. In this post, we’ll explore how you can design effective network tests using the Transmission Control Protocol (TCP), User Datagram Protocol (UDP), or Internet Control Message Protocol (ICMP), including.

We are happy to announce the release of two new versions of Icinga 2 today, 2.16.0 and 2.15.3. The first one includes some new features highlighted below, as well as a number of bug fixes and other improvements. The latter one is a small bug fix release that brings some of the other fixes included in 2.16.0 to the 2.15.x branch as well.

Your LLM observability stack probably handles individual model calls well enough. Latency, token counts, error rates, maybe even evaluation scores....