4.9
Advanced
12h
Updated 3 months ago
Advanced Kubernetes Techniques: Monitoring, Logging, Auto-Scaling
Delve into advanced Kubernetes features like monitoring, alerting, logging, and auto-scaling. Learn to create resilient, self-adaptive clusters and applications with minimal manual intervention.
The world of DevOps has exploded with the help of technologies like Kubernetes and Docker.
In this course, you will learn about more advanced Kubernetes features such as monitoring, alerting, logging, and scaling - crucial concepts for any DevOps professional. You will learn how to monitor clusters, how to send alerts when potential issues arise, and how to query the whole system’s metrics and logs.
By the end of this course, you will have the required knowledge to make your clusters and applications truly dynamic and resilient, so that they require minimal manual involvement and are self-adaptive.
The world of DevOps has exploded with the help of technologies like Kubernetes and Docker.
In this course, you will learn abou...Show More
Content
1.
Before Getting Started
2 Lessons
Get familiar with advanced Kubernetes techniques, requirements, and tools for enhanced cluster management.
2.
Autoscaling Deployments and StatefulSets
8 Lessons
Discover the logic behind Kubernetes autoscaling using HorizontalPodAutoscaler for performance management and resource optimization.
3.
Auto-Scaling Nodes Of A Kubernetes Cluster
8 Lessons
Examine auto-scaling nodes for efficient resource use in Kubernetes clusters.
4.
Collecting and Querying Metrics and Sending Alerts
18 Lessons
Grasp the fundamentals of Kubernetes monitoring, metrics collection, querying, and alerting.
5.
Debugging Issues Discovered Through Metrics and Alerts
6 Lessons
Map out the steps for debugging Kubernetes issues using metrics, alerts, and instrumentation.
6.
Extending HorizontalPodAutoscaler With Custom Metrics
10 Lessons
See how HorizontalPodAutoscaler integrates custom metrics, optimizing dynamic scaling and resource management.
7.
Visualizing Metrics And Alerts
10 Lessons
Practice using Grafana and Prometheus for efficient monitoring and alert systems.
8.
Collecting And Querying Logs
13 Lessons
Get familiar with centralized logging solutions and their integration with Kubernetes clusters.
9.
Conclusion
1 Lessons
Walk through key advanced Kubernetes techniques for scaling, metrics, and logging.
Certificate of Completion
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Course Author:
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