Operations | Monitoring | ITSM | DevOps | Cloud

A customer reports that checkout failed twice before they gave up, then stops replying to the support thread. What do you actually have to work with? A timestamp, a browser string, and a description written by someone who was not looking at the console. Session replay answers the question that ticket cannot. It rebuilds that single visit in the browser and plays it back step by step, so the click that failed, the field that rejected input, and the script error that fired alongside it appear in sequence.

How many privacy requests is your organization working on right now, and how many of them are still inside their legal deadline? The answer usually lives in several places at once. Shared mailboxes hold some, web forms hold others, and legal keeps a tracker of its own. That scattering is the problem. A CCPA request carries a hard statutory deadline and a documentation duty behind it, yet privacy work is the one regulated workload in most organizations that never entered the service management system.

You may be familiar with web card skimming, where a fraudster replaces the payment iframe on an ecommerce site with a fake version designed to intercept payment details or divert a transaction. However, there’s another variation that, while not new, is something we encounter far less often. It was highlighted this week during a call from an ecommerce vendor: redirection fraud. In this scenario, the attack starts much earlier in the customer journey.

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 agents are only as effective as the context they can access. The problem is that most of that context lives outside your observability platform.

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.

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.

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.