How to deploy ELK Stack on AWS EKS Using Terraform and GitHub Actions | ELK Stack on Kubernetes

===================================================================
1. SUBSCRIBE FOR MORE LEARNING :
/ @cloudquicklabs
===================================================================
2. CLOUD QUICK LABS - CHANNEL MEMBERSHIP FOR MORE BENEFITS :
/ @cloudquicklabs
===================================================================
3. BUY ME A COFFEE AS A TOKEN OF APPRECIATION :
www.buymeacoffee.com/cloudqui...
===================================================================
🚀 Embark on a comprehensive journey into log analysis as we guide you through the intricacies of deploying the ELK (Elasticsearch, Logstash, Kibana) stack on Amazon EKS (Elastic Kubernetes Service) using Terraform and Github Actions. This in-depth tutorial covers every critical aspect, ensuring you gain a thorough understanding of the process.
🔧 Keywords:
ELK Stack Deployment Tutorial
Amazon EKS Setup with Terraform
Log Analysis on Kubernetes Cluster
Elasticsearch Configuration and Optimization
Logstash Integration for Log Processing
Kibana Visualization Techniques
Github Actions for Automated Deployment
DevOps Best Practices
Log Management Strategies on EKS
Kubernetes Monitoring with ELK
Terraform and ELK Integration Guide
Advanced Log Analysis Techniques
💡 Tailored for DevOps professionals, system administrators, and log analysis enthusiasts, this tutorial dives deep into each phase of the deployment process. From crafting your EKS cluster with Terraform to fine-tuning Elasticsearch performance, setting up Logstash, and creating compelling visualizations on Kibana - we cover it all.
🛠️ Equip yourself with practical, hands-on skills to elevate your log analysis workflow. Join us on this journey to deploy ELK on Amazon EKS with Terraform and Github Actions. Like, subscribe, and hit the bell icon to stay informed about more in-depth tech tutorials and insights. Happy coding! 🖥️📊✨
🔧 What you'll learn:
1️⃣ Setting up an Amazon EKS cluster with Terraform
2️⃣ Deploying Elasticsearch for efficient log storage
3️⃣ Configuring Logstash to ingest and process logs
4️⃣ Visualizing and analyzing logs with Kibana
5️⃣ Automating the deployment pipeline with Github Actions
Repo : github.com/RekhuGopal/AWS_EKS...
#elk #eks #aws #cloudquicklabs #terraform #githubactions #loganalysis #kubernetes #devops #tutorial #elasticsearch #logstash #kibana #automation #aws #cloudcomputing #infrastructureascode #coding #deployment #monitoring #cloudservices #techtutorial #techguide #devopslife #awscloud #programming #containers #docker #systemadministration #clouddeployment #codingtips #opensource #cloudarchitecture #logmanagement #deploymentautomation #codingcommunity #tutorialvideo #techskills #programmingtutorial #awsdeployment #cloudtutorial #devopstraining #elkdeploy #awscloudservices #githubworkflow #awsdevops #codingjourney #awsautomation #techknowledge #cloudloganalysis #cloudmonitoring #itoperations #codersguide #clouddevops #githubflow #programmingknowledge #awscode #devopsguide #terraformtutorial #cloudlogmanagement #codinglearning #awscloudarchitecture #kubernetesdeployment #automationtutorial #awscloudsolution #codingeducation #programmingworld #cloudops #githubautomation #awsdeploymenttools #codinglessons #techhowto #cloudstack #cloudtools #devopstechniques #terraformguide #awscloudautomation #k8sdeployment #logdata #elklogging #awsclouddevelopment #codingcommunity #codingmentor #programmingtutorials #awscloudstrategy #cloudtutorial #devopsskills #terraformautomation #awscloudengineering #codinglessons #techknowledge #awscloudexpertise #cloudautomation #devopstips #terraformdeploy #awscloudengineering #codingtutorials #awscloudintegration #cloudautomations #devopslearning #terraformlearning #awscloudspecialist #cloudsolutions #codingforbeginners #programmingbasics #awscloudarchitect #cloudcomputing101 #devopsbestpractices #terraformbestpractices #awstips #cloudguide #devopstutorial #terraformtips #awscloudoptimization #cloudknowledge #codingbasics #programmingjourney #awscloudconsulting #cloudcomputingjourney #devopsjourney #terraformjourney #awscloudimplementation #cloudtechnology #codinghowto #programminghowto #awscoding #cloudcoding #devopsexperience #terraformexperience #awscloudarchitecture #cloudimplementation #codingexperience #awscoders #devopscoders #terraformcoders #awscloudcoders #cloudtech #codingtech #programmingtech #awstech #cloudskills #devopssuccess #terraformsuccess #awssuccess #cloudsuccess #codinglife #programminglife #techsuccess #devopslife #terraformlife #awslife #cloudlife #codingcommunity #programmingcommunity #techtips #devopstips #terraformtips #awstips #cloudtips #codingtips #programmingtips #techadvice #devopsadvice #terraformadvice #awsadvice #cloudadvice #codingadvice #programmingadvice #techcommunity #devopscommunity #terraformcommunity #awscommunity #cloudcommunity #codingcommunity #programmingcommunity

[@jamessmith1652]

Very nice, you explained it well.

[@cloudquicklabs]

Thank you for watching my videos. Glad that it helped you.

[@aamir_imran490]

wow

[@cloudquicklabs]

Thank you for watching my videos. Glad that it helped you.

[@gtex735]

Why do we need two loadbalancer? Can't we use one? I mean path based routing to services using single alb?

[@cloudquicklabs]

Thank you for watching my videos Indeed we can use , best suggestions would be to use an independent load balancer.

[@jamessmith1652]

I think elasticsearch service doesn't need an LB. Only Kibana (because its a UI). The other services are ClusterIP by default because they are not specified in the code (better to actually type it in). ClusterIP is fine because they need to communicate in the cluster but don't need to be accessed from outside. I would look for some official yamls to use for your projects.

[@dhebbydavid7145]

I got a crashbackloop error for the elastic search pod and for kibana the error I have is "page isn't working" the loadbalancer dns name did not send any data

[@cloudquicklabs]

Thank you for watching my videos. Please check the resource (CPU/Memory) of your EC2 instance and allocate resources accordingly at repsctive Containers

[@dhebbydavid7145]

@@cloudquicklabs Thank you