Operations | Monitoring | ITSM | DevOps | Cloud

The latest News and Information on Monitoring for Websites, Applications, APIs, Infrastructure, and other technologies.

March 2026: IsDown Users Saved 10.5 Hours with Early Outage Detection

In March 2026, IsDown users collectively saved 10.5 hours by receiving outage alerts before vendors officially acknowledged problems. The most significant early detection gave users a 2.3-hour head start when The Federal Reserve's FedACH system experienced issues. This data reveals the persistent gap between when users experience problems and when vendors update their status pages.

How to check if an item is back in stock?

Are you one of those trying to desperately get your hands on a new RTX 3080, 3070, 3060 Ti, & 3090 in 2021? Or maybe you prefer the new PlayStation 5 or Xbox Series X console. Basically, any item that’s on pre-sale or hard to get (including the uniquely designed piece of clothing for your girlfriend). If your favorite online store doesn’t have a “watchdog”, we have the best solution for you. Now how would you know it’s already back in stock? There’s an easy way!

Top 10 Website Monitoring Tools of 2026.

Most website monitoring tools look similar until the first real incident. That is when alert speed, false positives, check coverage, and day-to-day usability matter more than a long feature page. UptimeRobot often comes up early for a reason: it is easy to start with, clear to manage, and focused on the checks many teams need first. Still, it is not the only option worth looking at.

Beyond Maintenance: Why Modernizing Your Messaging Infrastructure is the Ultimate Competitive Edge

Modernizing messaging infrastructure delivers 188% ROI and payback in under 6 months, according to Forrester TEI study. Move beyond maintenance cycles to unified visibility, AI-driven efficiency, and secure self-service that transforms middleware from bottleneck to competitive advantage.

Capture and analyze custom heatmaps in Session Replay

Datadog Session Replay heatmaps track where users click, scroll, and engage across your web pages. Each heatmap is overlaid on a screenshot of the page, and that background determines what you can actually analyze. But getting the right screenshot can be tricky. Many UI states are dynamic, rare, or simply impossible to capture from replays, so heatmaps can end up showing the wrong view.

From Manual Requests to SelfServe: Building an AccessControlled App that Adapts Automatically

Platform teams often end up as the bottleneck for “small” operational asks: add a new button, wire up a workflow, expose one more cloud capability—each change requiring engineering time, reviews, and releases. In this technical deep dive, engineers from the Department of Government Services (Victoria) share the architecture and open source CDK library behind their “Infrastructure Control Panel”: a modular operational enablement app that lets non-technical users interact safely with cloud resources through strong access controls.

We Know Before it Breaks: Observability-Driven Development

When stakeholders push for faster growth (new markets, new features, newly modernized stack) your engineering model has to change too. At FitnessPassport, the shift from offshore waterfall delivery to an in-house team meant rebuilding not just services, but confidence: legacy systems with weak logging and little visibility made it hard to know whether changes were working and impossible to spot issues before users did. In this talk, Director of Engineering Rob Mitchell will share how FitnessPassport adopted Datadog and used structured logs, metrics, and traces to tighten feedback loops.

End to End Reliability for all your Workloads

Delivering great products to your customers requires a mix of evolution and consistency. To really land with users your product has to be ready to adapt and scale, prioritizing across a mix of customer and business needs. Join experts in reliability, systems engineering, and DevOps as they share real-world examples, true stories of pitfalls, and astounding impact from the experiments they have run. Learn how experienced practitioners handle failure, adapt to scale, and bridge gaps between teams to improve software performance and customer outcomes.

The Fundamentals: Fast, Deep, and Ready for What Comes Next - Part 3

The previous two posts in this series have looked at some of the use cases Honeycomb customers are implementing to observe LLMs in production and power agentic observability workflows. In this third and final post, we’ll take it back to basics and look at how the fundamental capabilities and infrastructure of Honeycomb provide the comprehensive data and fast performance that makes these use cases work at production scale. AI capabilities built on a weak observability foundation fall apart fast.