Troubleshooting Kubernetes

Troubleshooting Kubernetes, available at $49.99, has an average rating of 3.8, with 41 lectures, 6 quizzes, based on 35 reviews, and has 367 subscribers.

You will learn about Plan, operate and manage a Kubernetes cluster in production Troubleshoot cluster issues Select the correct resources in Kubernetes to serve your infrastructure goals Manage application deployments on Kubernetes clusters Configure cluster-wide logging Monitor and set up alerts for cluster health and determine if any action is required Best practices for working with Kubernetes This course is ideal for individuals who are This course is for sysadmins and developers who would like to implement easy and practical solutions to common issues encountered while using Kubernetes for large-scale container application management. It is particularly useful for This course is for sysadmins and developers who would like to implement easy and practical solutions to common issues encountered while using Kubernetes for large-scale container application management.

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Summary

Title: Troubleshooting Kubernetes

Price: $49.99

Average Rating: 3.8

Number of Lectures: 41

Number of Quizzes: 6

Number of Published Lectures: 41

Number of Published Quizzes: 6

Number of Curriculum Items: 47

Number of Published Curriculum Objects: 47

Original Price: $109.99

Quality Status: approved

Status: Live

What You Will Learn

Plan, operate and manage a Kubernetes cluster in production
Troubleshoot cluster issues
Select the correct resources in Kubernetes to serve your infrastructure goals
Manage application deployments on Kubernetes clusters
Configure cluster-wide logging
Monitor and set up alerts for cluster health and determine if any action is required
Best practices for working with Kubernetes

Who Should Attend

This course is for sysadmins and developers who would like to implement easy and practical solutions to common issues encountered while using Kubernetes for large-scale container application management.

Target Audiences

This course is for sysadmins and developers who would like to implement easy and practical solutions to common issues encountered while using Kubernetes for large-scale container application management.

Containers are changing the way applications are developed, deployed, and managed. Consequently, container orchestration has become a critical piece of infrastructure for enterprises on their digital transformation journey. Kubernetes is an open-source container orchestration platform for automating the deployment, scaling, and management of containerized applications. It has become the de-facto standard for container orchestration.

This course provides a tour of how to debug issues with the Kubernetes cluster infrastructure and presents a working conceptual model of how clusters operate. You will be addressing common problems faced by developers in cluster management, monitoring, and logging. Subsequently, we examine common issues when creating and deploying apps on Kubernetes.

By the end of the course, you’ll have gained full control of your Kubernetes infrastructure and will be able to manage it with ease.

Please note a working knowledge of Kubernetes is required for this course.

About the Author

Pradipta Kumar Banerjee

IBM, Senior Technical Staff Member, Bangalore, India

Pradipta is a Senior Technical Staff Member for the IBM Cloud Private platform and leads cloud-native platform initiatives for IBM Power Microprocessor. He comes with an extensive infrastructure and cloud background and has worked on many first-of-a-kind projects for large enterprise customers across various industries, focusing primarily on virtualization, cloud, and container technologies. Pradipta is an IBM Master Inventor with many patents and received the Best of IBM and Outstanding Technical Achievement awards.

Course Curriculum

Chapter 1: Avoiding Installation Pitfalls

Lecture 1: The Course Overview

Lecture 2: Planning and Installing

Lecture 3: Resource Management

Lecture 4: Scenario – Insufficient Cluster Capacity

Lecture 5: Pod Security Policy

Lecture 6: Troubleshooting Networking Issues

Lecture 7: Scenario – Deploy the Debug Tool

Lecture 8: DNS or Pod-to-Service Communication Issues

Lecture 9: Scenario – Kubernetes Dashboard Loading Is Slow

Lecture 10: Multi-Platform Kubernetes Cluster

Lecture 11: Taints and Tolerations

Lecture 12: Common Issues with Multi-Platform Clusters

Lecture 13: Scenario – Pending State Post-Deployment

Chapter 2: Managing Your Cluster Effectively

Lecture 1: Kubernetes Cluster Management

Lecture 2: Creating and Managing Kubernetes Objects

Lecture 3: Viewing Kubernetes Resources Using Kubectl CLI

Lecture 4: Modifying Kubernetes Resources Using Kubectl CLI

Lecture 5: Kubectl CLI Issue

Lecture 6: Kubernetes Dashboard Overview

Chapter 3: Logging into Kubernetes

Lecture 1: Logging Architecture and Logging Patterns in Kubernetes

Lecture 2: Cluster-Level Logging in Kubernetes

Lecture 3: Common Issues Related to Logging

Lecture 4: Resource Allocation and Configuration Aspects of the Logging Backend

Chapter 4: Monitoring and Alerting

Lecture 1: Kubernetes Monitoring

Lecture 2: Key Resources to Monitor and Related Metrics

Lecture 3: Alerts

Chapter 5: Troubleshooting Application Deployment Issues

Lecture 1: Working with Replication Controllers

Lecture 2: Deployment with Replica Sets – Next – Generation Replication Controllers

Lecture 3: Running Jobs – Run Once and Forget

Lecture 4: Using Deployments

Lecture 5: Using DaemonSet to Run Code on Multiple Nodes

Lecture 6: Targeting Deployment to Specific Nodes

Lecture 7: Setting Resource Limits for Application

Lecture 8: Capabilities and Security Policies

Lecture 9: Troubleshooting Application Deployment Issues

Lecture 10: Handling Out Of Memory Errors

Lecture 11: Handling Garbage Collection and Eviction Thresholds

Chapter 6: Configuring Your Services

Lecture 1: Services for Kubernetes Explained

Lecture 2: Service Discovery and Routing

Lecture 3: Ingress Resources Explained

Lecture 4: Troubleshooting Application Access Issues

Instructors

Packt Publishing
Tech Knowledge in Motion

Rating Distribution

1 stars: 2 votes
2 stars: 3 votes
3 stars: 9 votes
4 stars: 11 votes
5 stars: 10 votes

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