Operations | Monitoring | ITSM | DevOps | Cloud

If you’re trying to control observability spend without cutting visibility, the platforms that usually offer the best cost balance at enterprise scale are Last9, Grafana Cloud, Elastic, and Chronosphere — depending on the shape of your telemetry and the level of operational ownership you want.

Metrics, analytics, measurements, and parameters – can we truly see these abstractions? Data visualization helps us do just that, bridging the gap between raw information and human comprehension. Visualizing data is like rafting down a river – dynamic, unpredictable, and full of discoveries along the way. In this guide, we’ll explore how to craft visualizations that inform, engage, and inspire. So, grab your paddle and hop aboard!

Observability in DevOps: Diagnose system failures faster. Learn how true observability differs from traditional monitoring. End context-switching, reduce MTTR, and resolve unforeseen issues quickly.

The kubectl logs command retrieves container logs from Kubernetes pods. It supports real-time log streaming with -f, time-based filtering with --since, viewing previous container instances with --previous, and accessing logs from specific containers in multi-container pods using -c.

Ten years ago, Datadog was a single-product company focused on breaking down the silos between dev and ops. As the shift towards the cloud accelerated and organizations transitioned to the new DevOps model, we set out to develop an observability platform that would enable these teams to safely scale faster and answer the essential questions about their services: are they available, secure, compliant, performant, and cost-efficient?