AI-powered learning
Save this course
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.
4.7
76 Lessons
12h
Updated 2 weeks ago
Join 2.9 million developers at
Join 2.9 million developers at
LEARNING OBJECTIVES
- Create Kubernetes clusters on GKE, EKS, AKS, Minikube, and Docker Desktop using provided scripts
- Install and use Metrics Server to retrieve pod and container CPU/memory metrics with kubectl
- Configure HorizontalPodAutoscaler for Deployments and StatefulSets using CPU and memory utilization
- Set up Cluster Autoscaler to scale nodes up and down and define min/max node thresholds
- Implement Prometheus and Alertmanager to query metrics and send alert notifications to Slack
- Build Grafana dashboards by importing, customizing, and creating panels for Kubernetes metrics and alerts
- Deploy centralized logging with Fluentd and query logs via Papertrail, CloudWatch, Stackdriver, or EFK
Learning Roadmap
1.
Before Getting Started
Before Getting Started
Get familiar with advanced Kubernetes techniques, requirements, and tools for enhanced cluster management.
2.
Autoscaling Deployments and StatefulSets
Autoscaling Deployments and StatefulSets
Discover the logic behind Kubernetes autoscaling using HorizontalPodAutoscaler for performance management and resource optimization.
3.
Auto-Scaling Nodes Of A Kubernetes Cluster
Auto-Scaling Nodes Of A Kubernetes Cluster
8 Lessons
8 Lessons
Examine auto-scaling nodes for efficient resource use in Kubernetes clusters.
4.
Collecting and Querying Metrics and Sending Alerts
Collecting and Querying Metrics and Sending Alerts
18 Lessons
18 Lessons
Grasp the fundamentals of Kubernetes monitoring, metrics collection, querying, and alerting.
5.
Debugging Issues Discovered Through Metrics and Alerts
Debugging Issues Discovered Through Metrics and Alerts
6 Lessons
6 Lessons
Map out the steps for debugging Kubernetes issues using metrics, alerts, and instrumentation.
6.
Extending HorizontalPodAutoscaler With Custom Metrics
Extending HorizontalPodAutoscaler With Custom Metrics
10 Lessons
10 Lessons
See how HorizontalPodAutoscaler integrates custom metrics, optimizing dynamic scaling and resource management.
7.
Visualizing Metrics And Alerts
Visualizing Metrics And Alerts
10 Lessons
10 Lessons
Practice using Grafana and Prometheus for efficient monitoring and alert systems.
8.
Collecting And Querying Logs
Collecting And Querying Logs
13 Lessons
13 Lessons
Get familiar with centralized logging solutions and their integration with Kubernetes clusters.
Certificate of Completion
Showcase your accomplishment by sharing your certificate of completion.
Complete more lessons to unlock your certificate
Developed by MAANG Engineers
ABOUT THIS COURSE
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.
ABOUT THE AUTHOR
Viktor Farcic
Playing with tech...
Trusted by 2.9 million developers working at companies
A
Anthony Walker
@_webarchitect_
E
Evan Dunbar
ML Engineer
S
Software Developer
Carlos Matias La Borde
S
Souvik Kundu
Front-end Developer
V
Vinay Krishnaiah
Software Developer
Built for 10x Developers
No Passive Learning
Learn by building with project-based lessons and in-browser code editor


Personalized Roadmaps
The platform adapts to your strengths & skills gaps as you go


Future-proof Your Career
Get hands-on with in-demand skills


AI Code Mentor
Write better code with AI feedback, smart debugging, and "Ask AI"




MAANG+ Interview Prep
AI Mock Interviews simulate every technical loop at top companies


Free Resources