Operations | Monitoring | ITSM | DevOps | Cloud

Senior engineers who are fast at diagnosing ActiveMQ incidents share one trait: they know exactly what they are looking for in the broker log before they open it. They know the PFC signature, the OOM warning pattern, the journal recovery sequence, and the connection drop format. For them, the log is not text to search through, it is a structured operational record that maps each entry to a specific broker state.

Most ActiveMQ deployments are sized in one of two ways: either under-provisioned from underestimating growth ("we'll upgrade when we need to") or over-provisioned from anxiety ("better give it 32GB just in case"). Both approaches are avoidable with a structured capacity planning framework that translates your messaging workload characteristics into specific hardware and configuration requirements.

TL;DR: OrionIQ has launched the next generation of its Alert AI Analysis agent within the Open 360 AI platform, designed to automate and accelerate incident investigation. Key features of this evolution include: Agent-Based Investigation: Instead of relying on a single prompt, the system coordinates specialized AI agents to correlate data across diverse sources like logs, metrics, deployments, and tickets.

TL;DR: This is the engineering companion to our announcement post, Upgraded Alert AI Analysis: Automated Incident Investigation, read that one for what the new generation does for your team; read on for how it works under the hood. Interested in hearing more? Book a demo to see the Alert AI Analysis Agent live. Root cause analysis is one of the harshest tests you can give an AI.

In the first half of 2026, we shipped a wide range of improvements across metrics, logs, traces, cloud, and the Kubernetes operator. Our main focus across open-source components and enterprise solutions was on performance, stability, and making observability easier to adopt and operate day‑to‑day. This roundup brings together the most important changes to date, including a quick look back at key anomaly detection improvements from 2025 that are now paying off today.

In the hospitality industry, every second counts—especially when it comes to online bookings. Recently, I’ve been working with a hospitality customer who relies on eG Innovations SaaS to monitor the performance of their booking website. Like many modern sites, theirs is powered by numerous plugins and external third‑party services, each playing a crucial role in delivering a smooth booking experience while also introducing potential points of delay.

Almost every network monitoring tool on the market promises the same few things, which is full visibility, faster root cause, and fewer pointless alerts. Spend enough time looking into them and the websites all start to sound the same, and most of them read better on the page than they hold up on the day the network actually slows down.