Operations | Monitoring | ITSM | DevOps | Cloud

Somewhere in your service is a branch that has never executed. Not a rare one, a never one. It handles a dependency being unavailable: it reads from a cache, it returns a stale value, it marks the response degraded so callers know not to trust it too far. It was written carefully. It was reviewed. Whether it works is an open question, because nothing in the test suite makes that dependency fail, and the dependency does not fail on request.

A quick-reference guide to reading Nginx, Apache, and Linux syslog error lines: what each field means, with real annotated examples. Sejal Pandey works on content and growth at Last9, writing about observability, reliability, and SRE practices.

Earlier this year, I had the chance to meet with one of our airline customers. During the meeting, we discussed how to use agentic technology to automate L1 workflows. As one of the largest global airlines, they have many applications and service teams focused on flight-critical, tier 1 environments. Any downtime can cause costly delays and unhappy customers.

Choosing a software engineering intelligence platform is one of those decisions that gets more complicated the longer you wait. The category has grown rapidly, and every vendor claims to track the metrics that matter. GitKraken Insights gives you a full-stack view of engineering performance, from DORA metrics to AI tool ROI, in a platform trusted by over 40 million developers. But it isn’t the only option on the market.

As enterprises adopt hybrid work, IT teams face growing challenges in keeping the digital workspace fast and reliable. Employees access business applications through virtual desktops, SaaS platforms, cloud infrastructure, and physical endpoints, all of which contribute to the overall user experience. Monitoring these environments using disconnected native tools often leaves critical visibility gaps. Digital Workspace Monitoring closes those gaps.

Developer self-service pipelines fail most often at the handoff between resource provisioning and production deployment. A service catalog might let developers scaffold a new microservice in seconds, but if they still need to file tickets to wire up CI/CD, provision environments, or update deployment configurations, the value proposition collapses. The friction reappears exactly where velocity matters most: the path from code commit to running production workload.

Today, we’re launching Obkio Insights, our biggest feature yet, in beta, and the one we’ve been building toward for 8 years. Insights is launching in beta. That means existing customers can start using automatic network diagnostics today, with more root cause coverage, refinements, and improvements rolling out over the coming months based on real-world feedback. As with any beta, you may run into the occasional bug or rough edge.

Why does SOX season turn into a hunt for screenshots and forwarded approval emails? The controls were almost certainly running all year. The record of them running is scattered across a ticketing tool, an identity directory, a backup console, and someone's inbox. SOX compliance puts financial reporting under a legal standard, and the IT team ends up carrying a large share of the proof. Change approvals, user access lists, backup jobs, and batch schedules all become audit evidence.

Telemetry passes through several stages before anyone can use it. Searching it, charting it, and alerting on it all come later. Each stage makes one decision about the data. Their order separates a pipeline that saves money from one that adds a hop. Most teams meet this layer late, usually after a monitoring bill jumps. Here is how a telemetry pipeline works, stage by stage: By the end you can map your own telemetry flow against the five stages, and see which one is costing you.

Task containers are now generally available on Upsun Cloud, giving you a place to run AI agents alongside the rest of your application. The agent runs as a container inside your Upsun Cloud project, next to the app it works on, with the same access to your environment and data as everything else deployed there. The lifecycle is the part that's new: it fits how agent workloads behave instead of forcing them to pretend to be servers. A few things up front: This is a hands-on guide.