• views: 212
• date: 23 April 2026
• posted by: 0nelove

Kubernetes applications can fail in a variety of ways, and without proper observability troubleshooting these issues can be guesswork.
What you'll learn
Kubernetes applications can fail in a variety of ways, and without proper observability troubleshooting these issues can be guesswork. In this course, Implementing the Kubernetes Observability Stack, you'll gain the ability to deploy, configure, and use a complete metrics, logging, and tracing stack to identify and resolve real-world application problems. First, you'll explore deploy Prometheus, Grafana, Loki, and Promtail using Helm, configure a ServiceMonitor, and verify that application metrics and logs are successfully collected. Next, you'll discover how to add distributed tracing by deploying Grafana Tempo and an OpenTelemetry Collector, and verify the trace ingestion path. Finally, you'll learn how to configure exemplar linking to correlate metrics and traces directly in Grafana, enabling you to track an issue from metric anomaly to source. When you're finished with this course, you'll have the skills and knowledge of Kubernetes observability needed to deploy a full observability stack and use it to troubleshoot any issues you may encounter with your Kubernetes applications.



   
   
   

Forex Trading

Crypto Trading. 20 USD Bonus after KYC

We need your support!
Make a donation to help us stay online
        
Bitcoin (BTC)
bc1q08g9d22cxkawsjlf8etuek2pc9n2a3hs4cdrld
	
Bitcoin Cash (BCH)
qqvwexzhvgauxq2apgc4j0ewvcak6hh6lsnzmvtkem

Ethereum (ETH)
0xb55513D2c91A6e3c497621644ec99e206CDaf239

Litecoin (LTC)
ltc1qt6g2trfv9tjs4qj68sqc4uf0ukvc9jpnsyt59u

USDT (ERC20)
0xb55513D2c91A6e3c497621644ec99e206CDaf239

USDT (TRC20)
TYdPNrz7v1P9riWBWZ317oBgJueheGjATm

0 1 2 3 4 5

| Print version |

	Information
		Users of GUESTS are not allowed to comment this publication.