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Azure Devops Crash Course -CD pipelines | Troubleshooting
How to Deploy Pod on Azure Kubernetes Cluster by Using CD Pipeline in Azure Devops
This Course Includes
udemy
5 (1 reviews )
2 total hours 
english
Online - Self Paced
course
Udemy
About Azure Devops Crash Course -CD pipelines | Troubleshooting
How to Deploy Pod on Azure Kubernetes Cluster by Using CD Pipeline in Azure Devops and also added Troubleshooting steps to fixed pipeline failure scenarios and Git related issues for authentication with Azure Repo.
I have created an automated pipeline. It means if you did any changes in code or yaml file then automatic Pipeline will be triggered and your application will deploy it on Azure Kubernetes Cluster.
I have explained how we can manages all Yaml file in Our Kubernetes Project in Real time Project based on Kubernetes Production environment.
I have Fixed some common issue related to GIT Authentication with Private Azure repo in Azure Devops where we can create SSH secret for Authentication and Created Service Connection to establish connection in between Azure DeVops and Azure Kubernetes Services.
I have added Logging tool in this session where i can setup EFK on Kubernetes cluster and created Index Pattern in Kibana and created Kibana dashboard and visualize our application logs for further troubleshooting of crashed or restarted pod .
I have setup Elastic search , Kibana and fluentd by using helm chart and added some common issue and fixed those issue and troubleshooting method also added some use cases to view logs in kibana dashboard and make customize dashboard
What You Will Learn?
- In this section i have created Azure Devops pipeline to deploy application as a pod In Kubernetes Cluster by using Yaml Pipeline.
- I have integrated Git with Azure repo by using SSH key for authentication for Private repo in Azure devops.
- We have to push and pull code by using Git and Visual studio code in Azure devops CD pipeline and make automation.
- If we did any changes in main Branch then automatic pipeline will be trigger and deploy application on azure Kubernetes Services.
- We have to created service connection between Azure devops and Azure kubernetes services to deploy pod on Kubernetes cluster.