DevOps & Cloud (AWS, AZURE, GCP) Tech Free Learning

📌 https://harshhaa.hashnode.dev/100-kubernetes-diagnostics-commands-with-kubectl 🔗 More DevOps Blogs : HERE 🟩🟩🟩🟩🟩🟩🟩🟩🟩🟩🟩🟩 Follow 🍩 Like 👍 Share 👍 Comment Your thoughts 💬 ⭐️ 𝗙𝗼𝗹𝗹𝗼𝘄 @prodevopsguy & @devopsdocs 𝗳𝗼𝗿 𝗺𝗼𝗿𝗲 𝘀𝘂𝗰𝗵 𝗰𝗼𝗻𝘁𝗲𝗻𝘁 𝗮𝗿𝗼𝘂𝗻𝗱 𝗰𝗹𝗼𝘂𝗱 & 𝗗𝗲𝘃𝗢𝗽𝘀!!!

📣 𝗪𝗵𝗮𝘁 𝗮𝗿𝗲 𝘁𝗵𝗲 𝗥𝗲𝘀𝗽𝗼𝗻𝘀𝗶𝗯𝗶𝗹𝗶𝘁𝗶𝗲𝘀 𝗼𝗳 𝗮 𝗗𝗲𝘃𝗢𝗽𝘀 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿? ✨ ✔️𝗖𝗼𝗹𝗹𝗮𝗯𝗼𝗿𝗮𝘁𝗶𝗼𝗻: Fostering cross-functional collaboration between development, operations, and other stakeholders to ensure alignment of goals and priorities. ✔️𝗔𝘂𝘁𝗼𝗺𝗮𝘁𝗶𝗼𝗻: Designing, implementing, and maintaining automated processes for CI/CD pipelines, infrastructure provisioning, configuration management, and testing. ✔️𝗜𝗻𝗳𝗿𝗮𝘀𝘁𝗿𝘂𝗰𝘁𝘂𝗿𝗲 𝗠𝗮𝗻𝗮𝗴𝗲𝗺𝗲𝗻𝘁: Managing infrastructure resources using IaC tools like Terraform or CloudFormation, optimizing scalability, performance, and cost-efficiency. ✔️𝗧𝗼𝗼𝗹𝗶𝗻𝗴 𝗮𝗻𝗱 𝗜𝗻𝘁𝗲𝗴𝗿𝗮𝘁𝗶𝗼𝗻: Identifying, evaluating, and integrating DevOps tools and technologies to improve productivity, such as version control systems, CI/CD platforms, and container orchestration tools. ✔️𝗠𝗼𝗻𝗶𝘁𝗼𝗿𝗶𝗻𝗴 𝗮𝗻𝗱 𝗢𝗯𝘀𝗲𝗿𝘃𝗮𝗯𝗶𝗹𝗶𝘁𝘆: Establishing monitoring solutions to track system performance, detect anomalies, and facilitate timely resolution of issues. Implementing logging mechanisms for centralized log aggregation and analysis. ✔️𝗦𝗲𝗰𝘂𝗿𝗶𝘁𝘆 𝗮𝗻𝗱 𝗖𝗼𝗺𝗽𝗹𝗶𝗮𝗻𝗰𝗲: Integrating security best practices into the development pipeline, implementing security controls, performing vulnerability assessments, and ensuring compliance with regulatory requirements. ✔️𝗖𝗼𝗻𝘁𝗶𝗻𝘂𝗼𝘂𝘀 𝗜𝗺𝗽𝗿𝗼𝘃𝗲𝗺𝗲𝗻𝘁: Analyzing workflows, identifying bottlenecks, and implementing process improvements to enhance efficiency, reliability, and time-to-market. ✔️𝗗𝗲𝗽𝗹𝗼𝘆𝗺𝗲𝗻𝘁 𝗦𝘁𝗿𝗮𝘁𝗲𝗴𝗶𝗲𝘀: Implementing deployment strategies like canary releases, blue-green deployments, or feature flagging to minimize downtime and mitigate risks during software releases. ✔️𝗜𝗻𝗰𝗶𝗱𝗲𝗻𝘁 𝗠𝗮𝗻𝗮𝗴𝗲𝗺𝗲𝗻𝘁: Developing incident response plans, coordinating responses to production incidents, conducting post-incident reviews, and implementing preventive measures to minimize recurrence. ✔️𝗣𝗲𝗿𝗳𝗼𝗿𝗺𝗮𝗻𝗰𝗲 𝗢𝗽𝘁𝗶𝗺𝗶𝘇𝗮𝘁𝗶𝗼𝗻: Identifying performance bottlenecks, optimizing system configurations, and tuning application components to improve overall system performance and scalability. ✔️𝗖𝗮𝗽𝗮𝗰𝗶𝘁𝘆 𝗣𝗹𝗮𝗻𝗻𝗶𝗻𝗴:Forecasting resource requirements based on workload trends, analyzing utilization patterns, and scaling infrastructure resources to meet evolving business needs. ✔️𝗗𝗶𝘀𝗮𝘀𝘁𝗲𝗿 𝗥𝗲𝗰𝗼𝘃𝗲𝗿𝘆: Designing and implementing disaster recovery plans, ensuring data integrity, and minimizing recovery time objectives (RTO) and recovery point objectives (RPO) in the event of system failures or outages.

DevOps engineers play a critical role in driving collaboration, automation, and efficiency across development and operations teams, ultimately enabling organizations to deliver high-quality software products and services more rapidly and reliably.

🔵 𝗙𝗼𝗹𝗹𝗼𝘄 @prodevopsguy 𝗳𝗼𝗿 𝗺𝗼𝗿𝗲 𝘀𝘂𝗰𝗵 𝗰𝗼𝗻𝘁𝗲𝗻𝘁 𝗮𝗿𝗼𝘂𝗻𝗱 𝗰𝗹𝗼𝘂𝗱 & 𝗗𝗲𝘃𝗢𝗽𝘀!!!

🚨 Mastering Kubernetes Services: ClusterIP, LoadBalancer, NodePort 🚨 In the vast universe of Kubernetes, services play a pivotal role in how applications are exposed to the outside world. Understanding the differences between ClusterIP, LoadBalancer, and NodePort can be key to mastering your Kubernetes deployment strategy. ➡️ClusterIP: Imagine it as a secret club accessible only to members within the Kubernetes cluster. This type of service exposes your app internally, making it reachable exclusively from within the cluster. ➡️LoadBalancer: It's like having a VIP pass to the internet! LoadBalancer exposes your service externally using a cloud provider's load balancer, automatically setting up an external IP address for your app. ➡️NodePort: This is your service's public face. It exposes your app on each Node's IP at a static port, making it accessible externally through <NodeIP>:<NodePort>. It's like having a door on each server that leads directly to your app. 💡 Why does this matter? Understanding these service types can help you design a robust networking strategy for your Kubernetes applications, ensuring they're accessible and secure. 🎄 𝗙𝗼𝗹𝗹𝗼𝘄 @prodevopsguy 𝗳𝗼𝗿 𝗺𝗼𝗿𝗲 𝘀𝘂𝗰𝗵 𝗰𝗼𝗻𝘁𝗲𝗻𝘁 𝗮𝗿𝗼𝘂𝗻𝗱 𝗰𝗹𝗼𝘂𝗱 & 𝗗𝗲𝘃𝗢𝗽𝘀!!! // Join for DevOps DOCs: @devopsdocs

⚙️ DevOps Tools for Each Phase of the DevOps Life Cycle ♾ 🔢. Continuous Development (CD) Jira: Agile project management tool aiding project management, workflows, and bug tracking. Git: Open-source version control system facilitating collaboration and nonlinear workflows. GitHub extends its collaborative features. 🔢. Continuous Integration (CI) and Continuous Delivery (CD) Jenkins: Java-based, open-source tool supporting CI and CD with customizable workflows, easy installation, and numerous plugins. 🔢. Continuous Testing Selenium: Open-source automated testing framework supporting web app automation across multiple browsers and OS. Bamboo: Server-based tool tightly integrated with Jira, excelling in complex build plans and parallel testing. 🔢. Continuous Deployment Docker (container management): Packages and executes distributed apps, encouraging collaboration via Docker Hub. Ansible (configuration management): Automates configuration management and infrastructure orchestration. 🔢. Continuous Feedback Jira Service Management: Centralizes feedback from diverse sources for improved communication. Parlor: Engages with users to collect real-time contextual insights, integrating with various business tools. 🔢. Continuous Monitoring Prometheus: Open-source performance monitoring database enabling robust reporting and visualization. 🔢. Continuous Operation Opsgenie: Manages incidents, predicts and resolves service disruptions, integrates with various monitoring and communication tools, ensuring appropriate notifications and automated escalations for critical issues. 🌟 𝗙𝗼𝗹𝗹𝗼𝘄 @prodevopsguy 𝗳𝗼𝗿 𝗺𝗼𝗿𝗲 𝘀𝘂𝗰𝗵 𝗰𝗼𝗻𝘁𝗲𝗻𝘁 𝗮𝗿𝗼𝘂𝗻𝗱 𝗰𝗹𝗼𝘂𝗱 & 𝗗𝗲𝘃𝗢𝗽𝘀!!!

🚀 Exciting Tech Talk! ✨ Unlock the Power of Automation with Ansible! 🌐💻 📌 Ansible, the ultimate IT automation tool, brings efficiency to your tasks with these key features: 🔢 IT Automation 🔢 Configuration Management 🔢 Automated Deployment 🛠 Dive into the Pool Configuration Tool: ➡️ Nodes: Systems waiting to be configured and regularly check with the server and fetch configurations. ➡️ Module: Your configuration code file ➡️ Inventory: A handy document grouping nodes under specific labels 📘 Master the Playbook: - The core of Ansible, a set of instructions to configure nodes. - Written in YAML for simplicity and flexibility. 📊 Meet the Inventory: - a. Webserver - b. Database server 🌐 Elevate with Ansible Tower by Red Hat: - A framework that enriches Ansible. - Provides a sleek GUI, reducing dependency on the 'cmd' window. 🚀 Streamline your operations, automate with Ansible! 💪💡 ✈️ 𝗙𝗼𝗹𝗹𝗼𝘄 @prodevopsguy 𝗳𝗼𝗿 𝗺𝗼𝗿𝗲 𝘀𝘂𝗰𝗵 𝗰𝗼𝗻𝘁𝗲𝗻𝘁 𝗮𝗿𝗼𝘂𝗻𝗱 𝗰𝗹𝗼𝘂𝗱 & 𝗗𝗲𝘃𝗢𝗽𝘀!!!

➡️Useful Terraform commands along with brief explanations:- ❤️ 1. terraform init: Initializes a working directory containing Terraform configuration files. 2. terraform plan: Generates an execution plan, outlining actions Terraform will take. 3. terraform apply: Applies the changes described in the Terraform configuration. 4. terraform destroy: Destroys all resources described in the Terraform configuration. 5. terraform validate: Checks the syntax and validity of Terraform configuration files. 6. terraform refresh: Updates the state file against real resources in the provider. 7. terraform output: Displays the output values from the Terraform state. 8. terraform state list: Lists resources within the Terraform state. 9. terraform show: Displays a human-readable output of the current state or a specific resource's state. 10. terraform import: Imports existing infrastructure into Terraform state. 11. terraform fmt: Rewrites Terraform configuration files to a canonical format. 12. terraform graph: Generates a visual representation of the Terraform dependency graph. 13. terraform providers: Prints a tree of the providers used in the configuration. 14. terraform workspace list: Lists available workspaces. 15. terraform workspace select: Switches to another existing workspace. 16. terraform workspace new: Creates a new workspace. 17. terraform workspace delete: Deletes an existing workspace. 18. terraform output: Retrieves output values from a module. 19. terraform state mv: Moves an item in the state. 20. terraform state pull: Pulls the state from a remote backend. 21. terraform state push: Pushes the state to a remote backend. 22. terraform state rm: Removes items from the state. 23. terraform taint: Manually marks a resource for recreation. 24. terraform untaint: Removes the 'tainted' state from a resource. 25. terraform login: Saves credentials for Terraform Cloud. 26. terraform logout: Removes credentials for Terraform Cloud. 27. terraform force-unlock: Releases a locked state. 28. terraform import: Imports existing infrastructure into your Terraform state. 29. terraform plan -out: Saves the generated plan to a file. 30. terraform apply -auto-approve: Automatically applies changes without requiring approval. 31. terraform apply -target=resource: Applies changes only to a specific resource. 32. terraform destroy -target=resource: Destroys a specific resource. 33. terraform apply -var="key=value": Sets a variable's value directly in the command line. 34. terraform apply -var-file=filename.tfvars: Specifies a file containing variable definitions. 35. terraform apply -var-file=filename.auto.tfvars: Automatically loads variables from a file. 🎄 𝗙𝗼𝗹𝗹𝗼𝘄 @prodevopsguy 𝗳𝗼𝗿 𝗺𝗼𝗿𝗲 𝘀𝘂𝗰𝗵 𝗰𝗼𝗻𝘁𝗲𝗻𝘁 𝗮𝗿𝗼𝘂𝗻𝗱 𝗰𝗹𝗼𝘂𝗱 & 𝗗𝗲𝘃𝗢𝗽𝘀!!!

🔥 DevOps Project-11: Deploy Two-Tier Architecture on AWS using Terraform ♾ 🔗 Project Link: HERE 🔗 Detailed Blog Link: HERE 🔄 Project Overview :- In the world of cloud computing, infrastructure as code (IaC) plays a pivotal role in automating the deployment and management of resources. This blog post provides a step-by-step guide on creating a Two-Tier architecture on AWS using Terraform. We’ll explore the essential services involved, ensuring high availability, security, and scalability for hosting a static website. Also, we are adopting a modular approach with enhanced security measures. The infrastructure is organized into dedicated modules, ensuring a scalable, maintainable, and secure deployment. ❤️‍🔥 Share with friends and colleagues ❤️‍🔥 📣 Note: Fork this Repository 🧑‍💻 for upcoming future projects, Every week on Friday releases new Project. 📱 𝗙𝗼𝗹𝗹𝗼𝘄 @prodevopsguy 𝗳𝗼𝗿 𝗺𝗼𝗿𝗲 𝘀𝘂𝗰𝗵 𝗰𝗼𝗻𝘁𝗲𝗻𝘁 𝗮𝗿𝗼𝘂𝗻𝗱 𝗰𝗹𝗼𝘂𝗱 & 𝗗𝗲𝘃𝗢𝗽𝘀!!!

🐬 Dockerfile Checklist 👇 Navigating the ✔️ best practices and ❌ DONT's while handling a Dockerfile 📱 𝗙𝗼𝗹𝗹𝗼𝘄 @prodevopsguy 𝗳𝗼𝗿 𝗺𝗼𝗿𝗲 𝘀𝘂𝗰𝗵 𝗰𝗼𝗻𝘁𝗲𝗻𝘁 𝗮𝗿𝗼𝘂𝗻𝗱 𝗰𝗹𝗼𝘂𝗱 & 𝗗𝗲𝘃𝗢𝗽𝘀!!!

📌 Let's learn the right tools in the right way. 🔵 𝗙𝗼𝗹𝗹𝗼𝘄 @prodevopsguy 𝗳𝗼𝗿 𝗺𝗼𝗿𝗲 𝘀𝘂𝗰𝗵 𝗰𝗼𝗻𝘁𝗲𝗻𝘁 𝗮𝗿𝗼𝘂𝗻𝗱 𝗰𝗹𝗼𝘂𝗱 & 𝗗𝗲𝘃𝗢𝗽𝘀!!!

🔥 Becoming a Certified Kubernetes Administrator, an EXPERT in K8s from scratch, and much MORE! 🔥 🔗 Link: https://github.com/NotHarshhaa/Certified_Kubernetes_Administrator If you want to become a Certified Kubernetes Administrator, or you want to become an EXPERT in Kubernetes, learn Kubernetes from scratch and understand everything, this repo is a good choice. 🟡 Table of Contexts: 1. Kubernetes 2. Helm 3. Operator 4. Prometheus 5. EKS ❤️ Follow for more: @prodevopsguy

😀 10 DevOps Real time Scenarios. 😀 🚀 Issues as well as their resolutions: 🚀 🔢. Continuous Integration Pipeline Failure and its Resolution. 🔗 https://lnkd.in/g9nBb79u 🔢. Application experiences performance degradation and becomes slow during high-traffic periods and its resolution. 🔗 https://lnkd.in/g9nBb79u 🔢. Deployments are error-prone and inconsistent across different environments and its resolution. 🔗 https://lnkd.in/gE6FYcBz 🔢. The application goes down in production due to an unforeseen issue and its resolution. 🔗 https://lnkd.in/gE6FYcBz 🔢. A security vulnerability is discovered in a component of the application stack and its resolution. 🔗 https://lnkd.in/gPtZ9_Ge 🔢. Production environments start to deviate from their desired configurations over time and its resolution. 🔗 https://lnkd.in/gPtZ9_Ge 🔢. A critical service experiences an outage, impacting users and business operations and its resolution. 🔗 https://lnkd.in/gvTtGYC7 🔢. Communication breakdowns between development and operations teams lead to misunderstandings and delays and its resolution. 🔗 https://lnkd.in/gvTtGYC7 🔢. A major release causes unexpected issues in the production environment. 🔗 https://lnkd.in/gYbFKPrv 🔢🔢. Cloud resource costs are increasing beyond budgeted limits. 🔗 https://lnkd.in/gYbFKPrv 🎄 𝗙𝗼𝗹𝗹𝗼𝘄 @prodevopsguy 𝗳𝗼𝗿 𝗺𝗼𝗿𝗲 𝘀𝘂𝗰𝗵 𝗰𝗼𝗻𝘁𝗲𝗻𝘁 𝗮𝗿𝗼𝘂𝗻𝗱 𝗰𝗹𝗼𝘂𝗱 & 𝗗𝗲𝘃𝗢𝗽𝘀!!!

🟥 75+ DevOps & Cloud Documents 📇 Uploaded Here to Here ✉️ 𝗙𝗼𝗹𝗹𝗼𝘄 @prodevopsguy 𝗳𝗼𝗿 𝗺𝗼𝗿𝗲 𝘀𝘂𝗰𝗵 𝗰𝗼𝗻𝘁𝗲𝗻𝘁 𝗮𝗿𝗼𝘂𝗻𝗱 𝗰𝗹𝗼𝘂𝗱 & 𝗗𝗲𝘃𝗢𝗽𝘀!!!

🚀 DevOps Project-09: DevSecOps : Netflix Clone CI-CD with Monitoring | Email 🚀 🔗 Project Link: https://github.com/NotHarshhaa/DevOps-Projects/tree/master/DevOps%20Project-09 🔗 🌐 Project Overview :- I will be deploying a Netflix clone. I will be using Jenkins as a CICD tool and deploying our application on a Docker container and Kubernetes Cluster and I will monitor the Jenkins and Kubernetes metrics using Grafana, Prometheus and Node exporter. ❤️‍🔥 Share with friends and colleagues ❤️‍🔥 ❤️ Follow for more: @prodevopsguy

👨‍💻 HashiCorp Certified: Terraform Associate – Hands-On Labs 👉 Source - https://www.udemy.com/course/terraform-hands-on-labs/ 👉 Download link - https://drive.google.com/drive/u/0/mobile/folders/1GhcXYuHd72K0uXscjqVnQ3ltNqJWZV2N?usp=sharing 🎄 𝗙𝗼𝗹𝗹𝗼𝘄 @prodevopsguy 𝗳𝗼𝗿 𝗺𝗼𝗿𝗲 𝘀𝘂𝗰𝗵 𝗰𝗼𝗻𝘁𝗲𝗻𝘁 𝗮𝗿𝗼𝘂𝗻𝗱 𝗰𝗹𝗼𝘂𝗱 & 𝗗𝗲𝘃𝗢𝗽𝘀!!!

1️⃣. Tutorials ✅ Terraform Course – Automate your AWS cloud infrastructure https://lnkd.in/dvpzNT5M ✅ HashiCorp Terraform Associate Certification Course by Andrew Brown https://lnkd.in/dn5m2NKQ ✅ Terraform for DevOps Beginners + Labs by KodeKloud https://lnkd.in/d8nkTj3n ✅ Terraform Foundations Course by Derek Morgan https://lnkd.in/dWYByZjH ✅ HashiCorp Terraform Associate certification exam https://lnkd.in/dhV35bJG ✅ Learn Terraform (and AWS) by Building a Dev Environment - Full Course for Beginners https://lnkd.in/dA44F__P ✅ Complete Terraform Course - From BEGINNER to PRO! (Learn Infrastructure as Code) https://lnkd.in/dRs3YFu3 ✅ Azure Terraform Full Course I Microsoft Azure Terraform Course https://lnkd.in/dM-h-R8y 2️⃣. Labs ✅ Lab 1.Terraform Introduction | Terraform Tutorial for Beginners | Terraform for DevOps Engineer https://lnkd.in/dCpQyKNz ✅ Lab 2. How to Use Visual Studio code for Terraform | Creating EC2 Instance using Terraform https://lnkd.in/dvMC5a2J ✅ Lab 3. [Scenario-1]: How to Create VPC using Terraform | AWS VPC using Terraform | AWS Terraform https://lnkd.in/dtT3zMzF ✅ Lab 4. AWS NAT Gateway using Terraform | AWS Private Subnet using Terraform | Terraform Tutorial https://lnkd.in/dqTeZQdc ✅ Lab 5. Terraform Input Variables | How to Use Terraform Input Variables | Terraform Variables https://lnkd.in/dqsAKSyH ✅ Lab 6. Terraform Output Variables Example | Terraform Output Values | Terraform Outputs https://lnkd.in/dhkgFexc ✅ Lab 7. Terraform Local Values | How to use Terraform Local Values | Terraform Locals https://lnkd.in/dHZEW_sy ✅ Lab 8. How to Create EC2 Instance in AWS using Terraform | Create EC2 Instance using Terraform https://lnkd.in/dKjwzqGT ✅ Lab 9. AWS EC2 Instance,Security Group in AWS Using Terraform | Terraform Create Security Group AWS https://lnkd.in/dMA-J7GE ❤️ Follow for more: @prodevopsguy

Don't overwhelm to learn Git,🙄 Git is this much only👇😊 1️⃣. Core: • git init • git clone • git add • git commit • git status • git diff • git checkout • git reset • git log • git show • git tag • git push • git pull 2️⃣. Branching: • git branch • git checkout -b • git merge • git rebase • git branch --set-upstream-to • git branch --unset-upstream • git cherry-pick 3️⃣. Merging: • git merge • git rebase 4️⃣. Stashing: • git stash • git stash pop • git stash list • git stash apply • git stash drop 5️⃣. Remotes: • git remote • git remote add • git remote remove • git fetch • git pull • git push • git clone --mirror 6️⃣. Configuration: • git config • git global config • git reset config 7️⃣. Plumbing: • git cat-file • git checkout-index • git commit-tree • git diff-tree • git for-each-ref • git hash-object • git ls-files • git ls-remote • git merge-tree • git read-tree • git rev-parse • git show-branch • git show-ref • git symbolic-ref • git tag --list • git update-ref 8️⃣. Porcelain: • git blame • git bisect • git checkout • git commit • git diff • git fetch • git grep • git log • git merge • git push • git rebase • git reset • git show • git tag 9️⃣. Alias: • git config --global alias.<alias> <command> 1️⃣0️⃣. Hook: • git config --local core.hooksPath <path> 1️⃣1️⃣.Experimental: (May not be fully Supported) • git annex • git am • git cherry-pick --upstream • git describe • git format-patch • git fsck • git gc • git help • git log --merges • git log --oneline • git log --pretty= • git log --short-commit • git log --stat • git log --topo-order • git merge-ours • git merge-recursive • git merge-subtree • git mergetool • git mktag • git mv • git patch-id • git p4 • git prune • git pull --rebase • git push --mirror • git push --tags • git reflog • git replace • git reset --hard • git reset --mixed • git revert • git rm • git show-branch • git show-ref • git show-ref --heads • git show-ref --tags • git stash save • git subtree • git tag --delete • git tag --force • git tag --sign • git tag -f • git tag -l • git tag --verify • git unpack-file • git update-index • git verify-pack • git worktree -------- 🔚 🔚 -------- ♥️Credits: @NotHarshhaa ✅ ❤️ Follow for more: @prodevopsguy

🎉 𝐅𝐫𝐞𝐞 𝐀𝐖𝐒 𝐓𝐫𝐚𝐢𝐧𝐢𝐧𝐠 𝐜𝐨𝐮𝐫𝐬𝐞𝐬 & 𝐅𝐫𝐞𝐞 𝐁𝐚𝐝𝐠𝐞𝐬! AWS launched 4 new badges, so now there are 14 training courses with badge assessments. How to enroll ⬇️

To secure this badge, simply enroll in the free course and score 80% or higher on the final assessment. It's a fantastic opportunity to demonstrate your cloud expertise without spending money. There is not a single page that summarizes how to enroll to different AWS badges, so here you go (all up-to-date with links to the courses) including the latest 4 additions:

1️⃣ 𝐀𝐦𝐚𝐳𝐨𝐧 𝐄𝐊𝐒: 🔗https://bit.ly/eks-badge This path is created to build technical knowledge of Kubernetes and concepts and services with a focus on Amazon EKS. 2️⃣ 𝐀𝐦𝐚𝐳𝐨𝐧 𝐄𝐯𝐞𝐧𝐭𝐬 & 𝐖𝐨𝐫𝐤𝐟𝐥𝐨𝐰𝐬: 🔗https://lnkd.in/gwMeGq8a This learning path helps you build knowledge to effectively use AWS Step Functions to model, build, and monitor a complex business process and to design event-driven architectures based in Amazon EventBridge in production systems. 3️⃣ 𝐂𝐨𝐦𝐩𝐮𝐭𝐞 (𝐄𝐂𝟐, 𝐋𝐚𝐦𝐛𝐝𝐚): 🔗 https://lnkd.in/gURufmyD This path is created to help build technical knowledge of AWS compute concepts and services with a focus on Amazon EC including how to balance cost and performance, available tools and components, how AWS Lambda works. 4️⃣ 𝐀𝐦𝐚𝐳𝐨𝐧 𝐁𝐫𝐚𝐜𝐤𝐞𝐭: 🔗 https://lnkd.in/gE3Sys3a This path is created to help learn how to program quantum computers and explore their potential applications. ➕ more: 5. Migration Foundations: https://lnkd.in/g88Zsrn3 6. Networking Core: https://lnkd.in/gAeKA27u 7. Cloud Essentials: https://lnkd.in/gEMHQEtX 8. Architecting: https://lnkd.in/gYaAgXBM 9. AWS for Games: https://lnkd.in/g7a5Jjwi 10. Serverless: https://lnkd.in/gQavBp5K 11. Object Storage: https://lnkd.in/gAA_3q8U 12. Block Storage: https://lnkd.in/gEAApKty 13. File Storage: https://lnkd.in/gZHx6iUQ ♻️ Don’t miss this fantastic opportunity to demonstrate your cloud expertise without spending money. Save and share! 🎄 𝗙𝗼𝗹𝗹𝗼𝘄 @prodevopsguy 𝗳𝗼𝗿 𝗺𝗼𝗿𝗲 𝘀𝘂𝗰𝗵 𝗰𝗼𝗻𝘁𝗲𝗻𝘁 𝗮𝗿𝗼𝘂𝗻𝗱 𝗰𝗹𝗼𝘂𝗱 & 𝗗𝗲𝘃𝗢𝗽𝘀!!!