Operations | Monitoring | ITSM | DevOps | Cloud

Discover how the DNS protocol translates domain names into IP addresses, how DNS lookups chain through resolver servers, and how to read a DNS packet.

A recent update to VirtualMetric DataStream centers on how content moves into the platform and how securely it travels. Content management has been reworked around a GitOps workflow, TLS configuration has been reworked across devices and targets, and a broad set of new database devices, targets, and pipeline improvements have been added. Here’s what’s new.

AIOps explained in plain terms: what it means, how it differs from AI-SRE and MLOps, how it detects problems, and whether a small team needs it. Sejal Pandey works on content and growth at Last9, writing about observability, reliability, and SRE practices.

The default way to adopt log management is to ship everything and search it later. It is the path every vendor’s quickstart puts you on, and it is the reason log bills surprise people: ingestion is priced by volume, so“ship everything” is a spending decision disguised as a configuration default. The uncomfortable part is that most of that volume is never read. Nobody greps last Tuesday’s 200 OK access lines.

Running AI coding agents in parallel across repositories is no longer experimental. It’s how high-performing engineering teams ship faster. But the tools you pick to orchestrate those agents can either multiply your output or introduce new bottlenecks. GitKraken gives your team a purpose-built surface for AI coding agent orchestration through Kepler, its agent-agnostic development environment. Before you commit to any orchestration tool, though, you need to ask the right questions.

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.