Operations | Monitoring | ITSM | DevOps | Cloud

The open-source Kubernetes platform is designed to help simplify application deployment through Linux containers. It supports tasks like deploying workloads in the form of pods, clustering nodes, managing container runtimes, and tracking resources. The Kubernetes microservices system has risen in popularity over the last several years as an easy way to support, scale, and manage applications.

Heroku makes it easy to deploy and operate applications without managing servers, but understanding how your application behaves internally still requires instrumentation. Platform metrics like CPU usage, memory consumption, and router request/status counts are useful, but they don’t tell you how long your code takes to run, when your app throws errors, or whether users are interacting with key features.

This guide covers battle-tested chaos experiments for Kubernetes, AWS, Azure, and GCP to help you validate production resilience before real failures happen. Start with low blast radius experiments (pod-level) and gradually progress to higher impact scenarios (node/zone failures), always defining clear hypotheses and using probes to measure results. Building reliable distributed systems isn't just about writing good code. It's about understanding how your systems behave when things go wrong.

Damaging cyber attacks are a rising concern as organizations increasingly rely on digital technology for managing sensitive data and running core business operations. While technology can increase business efficiency, without security measures in place, a digital-first approach can end up introducing vulnerabilities and putting data at risk.

The way Kubernetes works “under the hood” dictates which components are more important for improving performance and which are less important. So let’s talk about the Kubernetes internals first.

When you're on a software team, planning for the weeks and months to come is always a challenge. You have to balance deep feature backlogs, business and leadership requests, customer requests, and operational interruptions. Effective planning requires a way to prioritize the backlog, set realistic roadmap goals, and justify decisions.

I’m excited to announce a new feature in Bindplane: Permalinks. Available in Bindplane Cloud right now! Permalinks will be shipped in version v1.97.0 and above in Self-hosted Bindplane. Permalinks make it easy to share a single URL that takes teammates, support engineers, or other stakeholders directly to the exact view you’re looking at. No extra navigation, no guessing, and no “can you click over here?” moments.

AI-powered coding assistants have transformed how developers write software. Tools like Claude Code, OpenAI Codex, Gemini CLI, Qwen Code, and OpenCode have introduced what many call “vibe coding” — a new paradigm where users describe their intent and AI agents handle the implementation details. But as these tools become integral to development workflows, a critical question emerges: how do we understand what’s happening under the hood?

The year 2025 marked a major milestone in the Datadog integrations ecosystem as we surpassed 1,000 integrations. Along the way, we also added over 110 new technology partners and expanded coverage across the fastest growing software categories, including AI, distributed security, hybrid infrastructure, and data intelligence. This recap highlights the most impactful integrations we released this year and how they connect to these broader technology trends.

In most organizations, leaders are surrounded by data: revenue reports, customer analytics, uptime metrics, support tickets, and more.