Operations | Monitoring | ITSM | DevOps | Cloud

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

Introducing Dossinth AI (formerly Silicon Sage)

The AI saga continues. I feel like every business felt like they had to add some AI into their product to stay relevant, but reality shows us that's not the case. Same thing at Monitive. Not looking to add AI to our service until it proves its usefulness. However, using it as an internal tool is all doable. I am still not 100% convinced of its usefulness, but I am hoping to radically improve my relationship with our customers, and - thus - the service itself.

What is high cardinality, and is it as scary as people make it out to be?

Dawid Dębowski is a software engineer at G2A.COM and a Grafana Champion. Holding an MS of Computer Science, Dawid’s main fields of interest related to observability are PromQL and data visualizations using Grafana. If you’ve ever worked with custom metrics in a Prometheus environment, you've probably heard about something called "high cardinality"—or at least I hope you have.

A 2026 essential features checklist for choosing the best synthetic monitoring tools

Advanced synthetic monitoring has become an essential for any strong digital plan, not simply a nice-to-have feature. Our reasoning is because users expect websites and apps to work well all the time. As we approach 2026, the top synthetic monitoring solutions have greatly improved, going from just checking if a service is online to ensuring a complete and positive digital experience.

From Postman Collections to 24/7 Web API Monitoring (Step-by-Step)

Postman API test automation is a critical part of modern API development. Teams rely on Postman collections, scripts, and automated tests to validate endpoints, catch functional issues early, and ensure APIs behave correctly during development and CI/CD pipelines. But as APIs move into production, test automation alone leaves important gaps.

Engineering robust monitoring scripts using advanced synthetic monitoring software

Synthetic monitoring evolved from simple uptime checks to a complex technical field in modern digital operations. The real challenge for organizations that use synthetic monitoring software isn’t implementing the monitoring; it’s writing scripts that stay accurate, simple to maintain, and resistant to changes in the application.

VictoriaMetrics Anomaly Detection: 2025 Roadmap & Features (vmanomaly)

Discover the latest advancements in AI-driven monitoring with VictoriaMetrics. Fred Navruzov, Lead of the Anomaly Detection team, presents a comprehensive year-in-review for vmanomaly (part of the VictoriaMetrics Enterprise suite). This session dives into how we are making machine learning more accessible for SREs through new interactive tools and protocol integrations. Key Highlights: 2025 Recap: A look back at the major releases and improvements in vmanomaly. Interactive Playgrounds: A demo of our new environment for testing anomaly detection models before deployment. MCP Server Integration.

How Browser Hijackers Impact Enterprise Observability and Monitoring Tools

The browser is an essential component for enterprise execution. Given the browser's importance, observability relies on accurate, trustworthy telemetry. Browser hijackers are a dangerous threat because they operate below the radar and introduce operational risks that undermine monitoring reliability, degrade signal quality, and affect decision-making and telemetry across an enterprise's ecosystem.

Top Tips for Building a Knowledge-Sharing Culture

Top Tips is a weekly column where we highlight what’s trending in the tech world and list ways to explore these trends. This week, we’re tackling a critical challenge for modern organizations: creating a culture where knowledge flows freely. Let’s be honest—a team that doesn’t share knowledge eventually hits a wall. In today’s fast-paced environment, keeping information siloed only leads to slow decisions, repeated errors, and missed chances to improve.