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Master Datadog for Kubernetes Monitoring | Observability, Distributed Tracing & Smart Alerting

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Managing Kubernetes environments across AWS, Azure, GCP, OCI, and on-prem can get messy fast! 🌎 In this video, we dive deep into how Datadog can help you centralize observability across all your clusters and services.
You'll learn:
✅ How to monitor Kubernetes clusters across multiple platforms in one view
✅ The importance of distributed tracing for microservices
✅ Best practices for smart alerting and anomaly detection
✅ How to improve release velocity and track deployment issues faster
We also cover real-world examples of troubleshooting failures, tracking infrastructure vs. application issues, and setting effective SLOs for your teams.
Don't waste time jumping between CloudWatch, Azure Monitor, Prometheus, and others – bring it all together with Datadog for Kubernetes! 🚀
🔔 Subscribe for more cloud, Kubernetes, and observability tips!
Resources:
You'll learn:
✅ How to monitor Kubernetes clusters across multiple platforms in one view
✅ The importance of distributed tracing for microservices
✅ Best practices for smart alerting and anomaly detection
✅ How to improve release velocity and track deployment issues faster
We also cover real-world examples of troubleshooting failures, tracking infrastructure vs. application issues, and setting effective SLOs for your teams.
Don't waste time jumping between CloudWatch, Azure Monitor, Prometheus, and others – bring it all together with Datadog for Kubernetes! 🚀
🔔 Subscribe for more cloud, Kubernetes, and observability tips!
Resources: