Operations | Monitoring | ITSM | DevOps | Cloud

Harness AI Security provides a unified control plane for AI discovery, risk visibility, and runtime protection, helping organizations operationalize key requirements of the EU AI Act. Instead of relying on manual audits or fragmented tooling, teams get continuous insight into how AI systems are built, exposed, and used, along with the evidence needed to demonstrate compliance.

As of today, I’ve drafted this post upwards of 10 times – it’s old enough that the version I first started working on was called “Reflections on 1 Year of SRE Management” (I’m currently at 2.5 years). But everything I learned during that first year became critical for the next.

Good news for PHP developers: AppSignal monitoring is now available for PHP applications. Our new package brings traces, metrics, and logs from your PHP app into AppSignal, with auto-instrumentation for frameworks like Laravel and Symfony and a foundation built on OpenTelemetry. Already using AppSignal's PHP package and want the latest updates? Migrating is straightforward: remove your current OpenTelemetry setup and follow our new install guide.

CDN and edge spend is easy to lose track of. Fastly bills on its own, off to the side of your cloud invoice – real money, often significant, sitting where none of your cost tooling reaches. So it stays its own island: a lump sum with no easy way to tie it back to the teams, products, and customers driving the traffic.

This OpenAI API cost calculator (also an AI inference calculator for o3/o4-mini thinking tokens) estimates your monthly OpenAI API pricing bill from three inputs: model, request volume, and average tokens per request. Toggle between standard, batch, and cached pricing and get your number in seconds. It also shows what the same workload costs on Claude and Gemini. For the full per-model rate card, see CloudZero's OpenAI API pricing guide.

Remote and hybrid work turned virtual desktops from a niche IT choice into a core way employees get their jobs done. When a desktop lives in the data center or the cloud, every logon, click, and screen refresh depends on infrastructure the user never sees. That shift is why VDI monitoring matters: it protects the end-user experience when the desktop is no longer local. The challenge is that a single slow session can have dozens of causes—across compute, storage, network, and the broker layer.

This Spring, the Apache Kafka community released version 4.2 with a “production-ready” Share Group feature. Also known as a “Kafka queue” people were eager to see this feature because it introduced elastic consumer scaling, individual message acknowledgments, and built-in "poison pill" handling; similar to what you'd find in traditional message brokers like RabbitMQ and ActiveMQ.