Operations | Monitoring | ITSM | DevOps | Cloud

It started with a single log line taking up a massive amount of volume: 500 million emissions per hour. Pulling that thread led Emma and Steven into Slack's broader logging pipeline: 311 billion logs per day at 4.4M/sec peak, with no volume limits, no per-service attribution, and no feedback to the teams generating the noise.

Eighty percent of new developers on GitHub start using Copilot within their first week. How many really know what it's pulling in?

We are so back. Launch automated infrastructure on demand, globally with Megaport. In a cool way.

Netdata now builds live network topology maps directly in the agent: no scheduled scans, no stale picture the next morning. In this walkthrough, we cover both sides of the new Topology view: Network device discovery (SNMP): Container & process network connections.

A look at Netdata's new NetFlow analyzer: see exactly what's flowing through your network, with no packet capture and no separate appliance.

Running Kubernetes on Red Hat OpenShift adds powerful enterprise capabilities—but also introduces operator-driven workloads, stricter RBAC and SCC policies, and platform-specific complexity. In this video, learn how Site24x7 enables platform-aware monitoring for OpenShift environments, helping DevOps and platform teams gain complete visibility without blind spots.

This session covers everything you need to know about infrastructure monitoring, starting from agent-based server monitoring to database monitoring, container monitoring (Docker & Kubernetes), multi-cloud monitoring (AWS, Azure, GCP, OCI), IT automation, custom plugins, and ManageEngine CloudSpend for cloud cost management. If you're looking to master full-stack infrastructure observability, this hands-on walkthrough shows you exactly how to set up and use each Site24x7 module inside the live console.

In July’s This Month in Datadog, Jeremy is joined by Datadog product leaders for in-depth conversations about how Bits enables you to confidently evaluate and release features containing AI-generated code, and use natural language to ask, understand, and act across Datadog.

Running Claude in one terminal and Cursor in another isn't a workflow. It's a juggling act. We talked to the engineer who got tired of it and built Kepler instead: one place to run agents, review PRs, and stay in control.

Learn about the Sumo Logic MCP Server -- allowing the use of Sumo Logic data and functionality in conjunction with your AI-driven tools (such as Claude Code or Github Copilot) to support agentic AI workflows for your organization.