Operations | Monitoring | ITSM | DevOps | Cloud

See our latest Episode of This Month in Datadog, for a spotlight of Datadog Data Observability, which enables you to detect data quality and pipeline issues early, as well as remediate those issues with end-to-end lineage. We also cover: This Month in Datadog brings you the latest updates on our newest product features, announcements, resources, and events.

Modern distributed systems must simultaneously respect where data must live, where it should live for performance, and where it needs to live for resilience. Data sovereignty and residency requirements increasingly affect technical design decisions, not only in regulated industries, but in any global product that must navigate regional expectations, latency constraints, cost structures, and operational realities.

What is Kubernetes, and how do companies like Netflix handle millions of users without crashing? In this quick guide, we break down Kubernetes in simple terms — from containers to pods, nodes, and the control plane — so you can understand how modern cloud applications stay reliable and scalable. Kubernetes acts like an air traffic controller for your apps, automatically managing where they run, restarting them if they fail, and balancing traffic across machines. Whether you're new to cloud computing or brushing up on DevOps basics, this video gives you a clear, beginner-friendly explanation.

Curiosity never really goes away.

Managing monitoring environments shouldn’t be a manual chore. In this hands-on webinar, we show you how to fully automate your Icinga infrastructure using the Ansible Collection for Icinga. We take you step by step through everything from installing Icinga 2 to configuring master instances, setting up monitoring agents, building core objects, and integrating common components like Icinga Web, all driven by Ansible.

In the latest Platform Insight interview, Pulsant CEO Rob Coupland discusses Pulsant’s evolution into the only truly UK‑wide, interconnected data centre platform. The conversation with Nicola Hayes of @PlatformMarketsGroup explores the growing momentum behind edge and sovereign infrastructure, and why real‑world enterprise demand is shaping the next phase of AI. If you want to understand where the UK digital infrastructure landscape is heading – and why regional platforms matter more than ever – this is a must‑watch.

AI can write code fast, but it makes mistakes humans often don't. In this session from Ole Lensmar, CTO of Testkube, breaks down the real quality risks of AI-generated code and how engineering teams can build guardrails before those bugs hit production. What you'll learn: Common mistakes LLMs make (and which ones are unique to AI) Whether you're a developer leaning on AI to ship faster or a QA lead trying to keep up with the pace of AI-generated code, this talk gives you a practical framework for staying ahead of quality issues.

When a problem spans multiple domains, L1 teams only see part of the story. BigPanda incident correlation connects the dots automatically, identifying how incidents relate across teams and systems, surfacing the blast radius, and pointing directly to the root cause so teams can triage faster and escalate smarter.

Think of AI like ingredients. Enablers run on the device. Blueprints configure workflows. Mix and match for your frontline.

A few seconds adds up fast. Learn how picture proof of delivery speeds up routes and builds customer confidence.