Operations | Monitoring | ITSM | DevOps | Cloud

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

A Rust Client for InfluxDB 3

Summary A new async Rust client for InfluxDB. Built for the edge gateways, embedded systems, and high-throughput ingest pipelines where Rust already runs. Table of Contents Time series data shows up wherever the physical world meets software. A satellite constellation streams altitude, power, and thermal telemetry from every spacecraft on every pass. A factory floor running on Industry 4.0 principles instruments every line, every motor, every batch.

AI Incident Response: Edwin AI in Slack Finds Root Cause Fast

AI incident response just got faster. Watch how LogicMonitor Edwin AI brings investigation, root cause analysis, and action directly into Slack for ITOps, SRE, DevOps, NOC, and incident response teams. When an incident hits, responders juggle monitoring tools, ITSM systems, dashboards, and documentation to find what they need. Edwin AI brings that context into Slack, so your team can investigate, decide, and act in one place.

A comprehensive guide to Fly.io logging

Deployment is not the end of shipping your application. From time to time, you will get errors that you will need to attend to. Without a good method of catching errors or logs in general, you could end up with uncaught issues that might cost you valuable customers in the process. In this article, you will learn how to catch logs for an application deployed on Fly.io. You will learn how Fly.io logging works, then learn ways to handle logs natively on the platform.

Introducing Coralogix Product Analytics

Coralogix Real User Monitoring has spent years collecting full-fidelity user sessions: every session and event processed in stream, without sampling and without prior indexing, at rest in cloud object storage you own. Today that data does a second job. Product Analytics brings heatmaps, funnels, and pathways to the RUM sessions you already send, with no second SDK to install. One dataset now answers what your users did and why it happened.

How to Investigate a Production Incident Using an AI Agent (AppSignal MCP)

An incident has hit your product. I've been there: you're context-switching between hosting, CI/CD, codebase, AppSignal for monitoring, and whatever else your product depends on to minimize downtime and potential losses. You're trying to piece everything together, but it takes a lot of time, and that's something you don't have. AI agents connected to your tooling and your monitoring data via MCP free up that time for you.

Why a Thermal Camera Rated for Hundreds of Meters Might Alert You at Twenty

Most teams buy thermal on two numbers. Resolution and NETD go into the comparison spreadsheet, the lowest NETD wins, and the purchase order goes out. Then the camera gets installed and the alerts do not arrive when anyone expected. Nothing is faulty. The spec sheet was accurate and the deployment still disappointed, because the numbers on it were answering a different question from the one you were asking.

10,000+ services and counting: the biggest monitoring catalog anywhere

StatusGator now monitors more than 10,000 services. Cloud platforms, AI tools, payment providers, communication apps, developer infrastructure, school software, business SaaS: if your team depends on it, there is a good chance we are already checking its status page. We started in 2015 with a few hundred providers and one idea, that nobody should have to keep multiple vendor status pages bookmarked to find out why the office suddenly cannot log in.

Introducing the new Coralogix Metrics Engine

Coralogix has spent years building metrics infrastructure that handles high cardinality and high dimensionality without flinching, with governance, usage visibility, and cost optimization built into the platform, and recognized industry delivery to show for it. Today that infrastructure takes its biggest step yet. We have rebuilt the metrics engine from the ground up, with a new pricing model, a set of new capabilities, and a tripled fair usage allowance to enjoy them in.