Operations | Monitoring | ITSM | DevOps | Cloud

Every developer knows the fatigue of the "12-tab code review dance": Agents have become first class citizens in SDLC and AI coding agents author code alongside human engineers, thus the above context switching destroys flow state. GitHub's gh CLI proved developers love the terminal, but modern delivery is tied to AI reviews, pipeline executions, risk scoring, and autonomous agents, not just git hosting.

Show to run Pen Testing on Harness : A contained, pipeline-native way to prove releases fail closed under named conditions. Evidence-first, not an exploit — audited on every run.

A Real-Time Operating System (RTOS) is an operating system designed for predictable execution in embedded systems. RTOSes are commonly used for applications with real-time requirements, but are also used to simplify the development of complex embedded applications.

Running Icinga 2 in a rootless Podman container is pretty straightforward, it works just the same as on Docker, so all the examples on our Docker Hub page work as expected. For example this one to generate certificates and initialize the master configuration: Same as with mounting some existing configuration into the container: But once you want to combine the two, for example to store the certificates on the host and mount them into the container, generating or renewing certificates will fail.

Why do so many patching programs pass every internal check and still come back from an Essential Eight assessment rated at Maturity Level One? The answer is rarely speed. Teams that miss the mark are usually patching their servers, browsers, and office suites on schedule, then losing the rating on the fifty applications nobody put on a list. Maturity Level Two is where the Essential Eight stops asking how fast you patch and starts asking how much you can see.

Most managed service providers do not replace their ticketing tool because ticket volume got too high. They replace it because a client asked for a report the tool could not produce. That moment usually arrives between the third and tenth client. The shared inbox and the general help desk that carried you this far stop holding the accounts apart. Per-client reporting is usually the first thing to give way. An MSP ticketing system takes support requests from every client you serve.

Every network engineer carries an instinct that outsiders mistake for caution: a change in one place can travel. Reroute a path, push a policy, drop an interface, and the effect can ripple across campus, data center, WAN, and cloud before the first alert is read. The blast radius of a network change is the reason operators move deliberately, and it is the single most important thing an AI agent takes on the moment it is allowed to act on the network instead of merely describe it.

Welcome to the third and final part of our series on AI norms and values. Parts of this doc were extracted and published separately on substack; as a whole, they describe the principles we hold pertaining to technology and AI, and the ethical commitments we make to each other and our customers. We set out to write about AI, and ended up writing about ourselves. These documents are not meant to be aspirational ones; they are derived from how we do our work every day in honeycomb.

The Internet may feel like a single, seamless network but behind every connection is a vast web of interconnected networks. For businesses, Internet service providers (ISPs) and other network operators, reaching users and services around the world depends on how efficiently traffic can move between these networks. This is where IP transit comes in.

A load balancer reboot is planned maintenance that restarts each device in a high-availability pair without intentionally interrupting service. A safe automated workflow verifies health and synchronization, restarts the standby device, confirms its recovery, performs a controlled failover, restarts the remaining device, validates traffic, and records the outcome.