https://github.com/kasdihacene/global-azure-2022

Communities around the world are organizing localized live streams for everyone around the world to join and learn about Azure from the best-in-class community leaders.
https://github.com/kasdihacene/global-azure-2022

azure azure-application-insights azure-container-registry azure-kubernetes-service azure-storage devops global-azure-bootcamp google-jib-plugin hashicorp-terraform helm-charts java-17 kubernetes oci-image openapi3 rest-api spring-boot terraform

Last synced: about 2 months ago
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Communities around the world are organizing localized live streams for everyone around the world to join and learn about Azure from the best-in-class community leaders.

• Host: GitHub
• URL: https://github.com/kasdihacene/global-azure-2022
• Owner: kasdihacene
• Created: 2022-04-09T10:16:15.000Z (almost 3 years ago)
• Default Branch: master
• Last Pushed: 2022-05-01T14:11:53.000Z (almost 3 years ago)
• Last Synced: 2024-11-02T22:22:37.293Z (3 months ago)
• Topics: azure, azure-application-insights, azure-container-registry, azure-kubernetes-service, azure-storage, devops, global-azure-bootcamp, google-jib-plugin, hashicorp-terraform, helm-charts, java-17, kubernetes, oci-image, openapi3, rest-api, spring-boot, terraform
• Language: Java
• Homepage:
• Size: 957 KB
• Stars: 2
• Watchers: 2
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
## End-to-end application monitoring with Azure App Insights :rocket:

![End-to-end_application_monitoring_with_Azure_App_Insights](assets/End-to-end_application_monitoring_with_Azure_App_Insights.jpeg)

The purpose of this repository is to show you, how do we monitor the Java applications deployed on Azure Kubernetes Service, using a feature of Azure Monitor that provides extensible application performance management (APM) and monitoring for live web apps. Developers and DevOps professionals can use Application Insights to:

✅ Automatically detect performance anomalies.

✅ Help diagnose issues by using powerful analytics tools.

✅ See what users actually do with apps.

✅ Help continuously improve app performance and usability.

Since **November 2020**, using Java SDK is no more needed to instrument java applications and to collect application 

telemetry. The solution recommended by Microsoft is an **auto-instrumentation** using 3.0 agent which will 

track and correlate the application.

### Technical stack :building_construction:

The stack used on this tutorial is :

- SpringBoot 2.6.x

- Java 17

- OpenAPI 3.0 — Contract-FIRST (Documenting the API)

- Terraform

- Kubernetes and Helm chart

### Installing dev tools 💼

For this workshop we need some tools to interact with the Azure account `az cli`, Kubernetes services (`kubectl`), maybe the tool for IaaC to provision a resources (`Terraform`)

1- Azure Cli:

    Windows: https://docs.microsoft.com/en-us/cli/azure/install-azure-cli-windows?tabs=azure-cli

    Linux: https://docs.microsoft.com/fr-fr/cli/azure/install-azure-cli-linux?pivots=apt

    Macos: https://docs.microsoft.com/fr-fr/cli/azure/install-azure-cli-macos

Check : $ az -v or az --version

2- kubectl (not kubelet) :

    Windows: https://kubernetes.io/fr/docs/tasks/tools/install-kubectl/#installer-kubectl-sur-windows

    Linux: https://kubernetes.io/fr/docs/tasks/tools/install-kubectl/#installer-kubectl-sur-linux

    Macos: https://kubernetes.io/fr/docs/tasks/tools/install-kubectl/#installer-avec-homebrew-sur-macos

Check : $ kubectl version

3- terraform 

    

    All environments: https://www.terraform.io/downloads.html

Check : $ terraform -v or terraform --version

4- You need also helm cli (If you want to deploy directly the charts without using terraform - helm_release resource)