Operations | Monitoring | ITSM | DevOps | Cloud

Where’s the tipping point between impressive and impossible?

Although there’s a growing understanding of how autonomous mobile robots (AMRs) can reduce warehouse travel, we need to be asking a much more important question. How can a real-world operation transform the efficiency of its fulfillment workflows by optimizing both robots and people? If you’ve ever talked to anyone on our team in person, you know this is a challenge we’re passionate about solving.

I’ve written about the EU Cyber Resilience Act (CRA) on our Canonical blog a few times now, and I think now’s the perfect time to talk about the implications of this new regulation and what it means for IoT and device manufacturers on the practical level of how they design and build Products with Digital Elements (PDEs).

You’ve optimized your QoS settings, fine-tuned your firewall, and even upgraded your bandwidth, but what happens when your network gets hit with 10x the normal traffic? Will it hold up, or will it buckle under the pressure, leaving your users staring at spinning wheels and timeout errors? If you’re an IT pro, you know outages don’t happen during idle hours. They strike when traffic spikes.

By integrating Site24x7 with ilert, companies can automate their incident response workflows, ensure that the right people are notified instantly, and reduce Mean Time to Resolution (MTTR). ‍ Site24x7 provides robust monitoring for servers, applications, networks, and cloud infrastructure, including application logs, giving teams visibility into their environments. But when things go wrong, a timely response is just as critical as visibility. This is where ilert comes in.

Kubernetes production environments require robust alerting to catch problems before they impact users. While monitoring shows system state, proper alerting tells you when something needs attention. This guide outlines 15 key Kubernetes alerts that help DevOps teams avoid outages and minimize downtime. For each alert, we provide implementation guidance and troubleshooting steps to resolve common issues quickly.

Python powers critical applications across countless organizations, from data processing pipelines to web services that handle millions of requests. While Python's readability and extensive ecosystem make it a developer favorite, its performance characteristics require thoughtful monitoring. As systems grow in complexity, understanding what's happening inside your Python applications becomes increasingly important.

Every minute of website downtime cost large organizations an average of $9,000. That’s half a million dollars every hour, damn. And that’s just the average. If your organization heavily relies on your website to do business, that cost can increase even further. Needless to say, preventing website downtime is a top priority.

This report aims to show how site speed affects cart abandonment. It covers global data for 2024, focusing on delays between two and three seconds.

Can your AI tools really work together, or are they still stuck in silos? With Google’s new Agent-to-Agent (A2A) protocol, the days of isolated AI agents are numbered. This emerging standard lets specialized agents communicate, delegate, and collaborate—unlocking a new era of modular, scalable AI systems. Here’s how A2A could transform your workflows, and why making it observable is just as important as making it possible.