Operations | Monitoring | ITSM | DevOps | Cloud

How many of your last five incidents were already sitting in the logs before anyone noticed? Most teams already collect more than enough log data. The problem starts with what happens next, and the same four gaps show up almost everywhere: This guide covers the log monitoring best practices that close those gaps. It walks through how to collect, structure, correlate, retain, and secure logs, so monitoring becomes a steady process and not a scramble during the next incident.

The race to better AI-assisted observability has been a race for bigger and better models. But intelligence was never the real bottleneck. Structure and context were.

One of ActiveMQ's most powerful and underappreciated capabilities is its protocol polyglotism: a single broker can simultaneously accept Java JMS clients over OpenWire, Python services over AMQP, IoT sensors over MQTT, and Ruby scripts over STOMP, all routing messages between each other without protocol bridges or translation middleware.

The biggest cost in your business may not appear anywhere on your balance sheet because some of the most expensive problems are rarely measured directly. Lost productivity, recurring technology issues, underused applications, and the effort required to manage them all accumulate over time without ever appearing as a line item in a financial report.

When you work closely with Icinga Web 2, developing modules, building dashboards, poking around the internals, you naturally pick up on features that most users never think about. Some are usability improvements that deserve more attention than they get. Others are developer conveniences that turn out to be genuinely useful in the right user situation too. They’re just the kind of thing that rarely makes it into the getting-started guide. Not all of these will apply to your daily workflow.

Creating incidents often means filling out the same information over and over again. That’s why we’ve added Incident Templates – a faster way to create incidents using pre-configured settings. With templates, you can save commonly used incident details and apply them with a single click whenever you need them.

In our previous article we looked at the basics of: In this article, we are going to take a deeper dive into some of the complexities of configuration as well as some of the nuances of analysing Claude telemetry. Before we dive into the code, let us just remind ourselves that our telemetry pipeline looks like this: That is, we are emitting Claude Code telemetry to an OpenTelemetry Collector. The telemetry is then exported to an Application Insights endpoint and stored in Log Analytics tables.