🟡 Networking is heartbeat of Kubernetes 👇

Your containers, pods and services come to life with connectivity.

We discover the happy side of understanding Kubernetes networking? 🤠

There are 3 kinds of IPs that you need to understand in Kubernetes.

1: Node IP
↳ The address of the physical machine or VM that hosts Kubernetes.
→ Pod to Pod communication across different nodes happens via node IP.

2: Service IP
↳ A virtual IP address that represents a group of Pods.
→ It is assigned by Kubernetes to facilitate application exposure within the cluster or externally.

3: Pod IP -
↳ The address of a single pod.
→ It is used by the pod to communicate with other pods and services.
→ The Pod IP is assigned by the Kubernetes network plugin.

👉 IMPORTANT points to note:

- The Node IP, Service IP, and Pod IP address do not have to be in the same network.
- Kubernetes uses DNS to resolve the names of pods and services to their IP addresses.

Kubernetes IP addressing may be a small thing → but they make big things happen.


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❤️‍🔥6 Most Confusing GIT Commands 👇

🟡 Simplified and concise illustration of commands for better understanding

𝟭. 𝗴𝗶𝘁 𝗺𝗲𝗿𝗴𝗲 𝘃𝘀 𝗴𝗶𝘁 𝗿𝗲𝗯𝗮𝘀𝗲:
- 𝘨𝘪𝘵 𝘮𝘦𝘳𝘨𝘦 combines branch changes with new merge commits
- 𝘨𝘪𝘵 𝘳𝘦𝘣𝘢𝘴𝘦 moves branch changes on top, creating a linear history

𝟮. 𝗴𝗶𝘁 𝗿𝗲𝘀𝗲𝘁 𝘃𝘀 𝗴𝗶𝘁 𝗿𝗲𝘃𝗲𝗿𝘁:
- 𝘨𝘪𝘵 𝘳𝘦𝘴𝘦𝘵 undoes changes and moves the branch pointer, discarding subsequent commits
- 𝘨𝘪𝘵 𝘳𝘦𝘷𝘦𝘳𝘵 creates new undo commits, preserving history

𝟯. 𝗴𝗶𝘁 𝗳𝗲𝘁𝗰𝗵 𝘃𝘀 𝗴𝗶𝘁 𝗽𝘂𝗹𝗹:
- 𝘨𝘪𝘵 𝘧𝘦𝘵𝘤𝘩 downloads remote changes without auto-merging
- 𝘨𝘪𝘵 𝘱𝘶𝘭𝘭 fetches and auto-merges remote changes

In short,
git pull = git fetch + git merge
–
DevOps is the most happening and integral part of almost all organizations.


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🌟 Dussehra Festival Special 😀

✔️ Kubernetes Free Videos ✔️ :

🔗 Link: https://drive.google.com/folderview?id=1TXZEQI8kWi1vDEh8KjSYOe4IYQI71iXp


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🚀 Embrace Microservices on Azure Kubernetes Service (AKS) 🌐

Looking to harness the power of microservices in the cloud? Azure Kubernetes Service (AKS) offers an ideal platform. Here's a snapshot of this architecture:

🎯AKS: Managed Kubernetes cluster hosted in Azure. Focus on agent nodes while Azure handles the Kubernetes API service.

🎯Virtual Network: AKS sets up a virtual network for agent nodes. For advanced scenarios, set up your own network with control over subnet config and more.

🎯Ingress: Exposes HTTP(S) routes to services within the cluster, acting as an API Gateway.

🎯Azure Load Balancer: Routes internet traffic to the ingress controller, ensuring scalability and reliability.

🎯External Data Stores: Microservices often use external data stores like Azure SQL Database or Azure Cosmos DB for stateful operations.

🎯 Microsoft Entra ID: Used for creating and managing Azure resources and recommended for user authentication in client apps.

🎯Azure Container Registry: Store private Docker images for deployment. AKS can authenticate using its Microsoft Entra identity.

🎯Azure Pipelines: Part of Azure DevOps, automates builds, tests, and deployments. Also compatible with third-party CI/CD tools.

🎯Helm: A Kubernetes package manager that simplifies managing and deploying applications.

🎯Azure Monitor: Collects and stores metrics, logs, and telemetry data for monitoring, alerting, and root cause analysis.

🎯 Cost Optimization: Use the Azure pricing calculator to estimate costs, and refer to the Azure Well-Architected Framework for further insights.

🆘 Cost Considerations:

✔️ AKS: No direct cost, but you pay for underlying resources.
✔️ Azure Load Balancer: Charges for configured load-balancing rules.
✔️ Azure Pipelines: Free options with charges for extra jobs.
✔️ Azure Monitor: Costs based on data ingestion and retention.

Seize the potential of microservices on AKS, backed by the Azure cloud's robust infrastructure.


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🟩 AWS & DevOps Free Videos :– 🟩

🗯 Part -1 : https://drive.google.com/drive/folders/1P2MORPWWUDk6MBzLktlahDRHJgh9YNta?usp=sharing
🗯 Part -2: https://drive.google.com/drive/folders/1-9pCWtNrSwWW3Bgd0BjqfH_x0sfJcXvE?usp=sharing
🗯 Part -3 : https://drive.google.com/drive/folders/1OD3B97MfmlQbnBVB_PMbt5bb5mtjyQk9?usp=sharing

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𝐓𝐡𝐞 𝐦𝐨𝐬𝐭 𝐜𝐨𝐦𝐦𝐨𝐧 𝐉𝐞𝐧𝐤𝐢𝐧𝐬 𝐞𝐫𝐫𝐨𝐫𝐬 𝐚𝐧𝐝 𝐭𝐡𝐞𝐢𝐫 𝐬𝐨𝐥𝐮𝐭𝐢𝐨𝐧𝐬

1. 𝐏𝐞𝐫𝐦𝐢𝐬𝐬𝐢𝐨𝐧 𝐈𝐬𝐬𝐮𝐞𝐬:
- 😣 𝐄𝐫𝐫𝐨𝐫: Jenkins can't access files.
- ✅ 𝐒𝐨𝐥𝐮𝐭𝐢𝐨𝐧: Give Jenkins proper access rights or run it as the right user.

2. 𝐁𝐮𝐢𝐥𝐝 𝐅𝐚𝐢𝐥𝐮𝐫𝐞𝐬:
- 😡 𝐄𝐫𝐫𝐨𝐫: Builds fail.
- ✅ 𝐒𝐨𝐥𝐮𝐭𝐢𝐨𝐧: Check logs, fix issues like missing stuff or wrong settings.

3. 𝐖𝐨𝐫𝐤𝐬𝐩𝐚𝐜𝐞 𝐂𝐥𝐞𝐚𝐧𝐮𝐩 𝐈𝐬𝐬𝐮𝐞𝐬:
- 🚫 𝐄𝐫𝐫𝐨𝐫: Workspace gets messy.
- ✅ 𝐒𝐨𝐥𝐮𝐭𝐢𝐨𝐧: Configure Jenkins to clean up after builds.

4. 𝐏𝐥𝐮𝐠𝐢𝐧 𝐂𝐨𝐦𝐩𝐚𝐭𝐢𝐛𝐢𝐥𝐢𝐭𝐲:
- 😬 𝐄𝐫𝐫𝐨𝐫: Plugins don't work with Jenkins.
- ✅ 𝐒𝐨𝐥𝐮𝐭𝐢𝐨𝐧: Update or find compatible plugins.

5. 𝐌𝐚𝐬𝐭𝐞𝐫-𝐒𝐥𝐚𝐯𝐞 𝐂𝐨𝐧𝐧𝐞𝐜𝐭𝐢𝐨𝐧 𝐏𝐫𝐨𝐛𝐥𝐞𝐦𝐬:
- 😞 𝐄𝐫𝐫𝐨𝐫: Master can't talk to slaves.
- ✅ 𝐒𝐨𝐥𝐮𝐭𝐢𝐨𝐧: Check the network, slave online, and credentials right.

6. 𝐎𝐮𝐭 𝐨𝐟 𝐌𝐞𝐦𝐨𝐫𝐲 𝐄𝐫𝐫𝐨𝐫𝐬:
- 😰 𝐄𝐫𝐫𝐨𝐫: Jenkins runs out of memory.
- ✅ 𝐒𝐨𝐥𝐮𝐭𝐢𝐨𝐧: Give Jenkins more memory.

7. 𝐉𝐞𝐧𝐤𝐢𝐧𝐬 𝐍𝐨𝐭 𝐒𝐭𝐚𝐫𝐭𝐢𝐧𝐠:
- 😨 𝐄𝐫𝐫𝐨𝐫: Jenkins won't start.
- ✅ 𝐒𝐨𝐥𝐮𝐭𝐢𝐨𝐧: Check logs for issues, like port conflicts or wrong configs.

8. 𝐏𝐥𝐮𝐠𝐢𝐧 𝐈𝐧𝐬𝐭𝐚𝐥𝐥𝐚𝐭𝐢𝐨𝐧 𝐈𝐬𝐬𝐮𝐞𝐬:
- 😒 𝐄𝐫𝐫𝐨𝐫: Can't install plugins.
- ✅ 𝐒𝐨𝐥𝐮𝐭𝐢𝐨𝐧: Fix internet, firewall, and proxy settings.

9. 𝐒𝐥𝐨𝐰 𝐁𝐮𝐢𝐥𝐝 𝐄𝐱𝐞𝐜𝐮𝐭𝐢𝐨𝐧:
- 😴 𝐄𝐫𝐫𝐨𝐫: Builds take forever.
- ✅ 𝐒𝐨𝐥𝐮𝐭𝐢𝐨𝐧: Speed up builds by parallelizing tasks, optimizing code, or upgrading hardware.

10. 𝐄𝐦𝐚𝐢𝐥 𝐂𝐨𝐧𝐟𝐢𝐠𝐮𝐫𝐚𝐭𝐢𝐨𝐧 𝐏𝐫𝐨𝐛𝐥𝐞𝐦𝐬:
- 😟 𝐄𝐫𝐫𝐨𝐫: Email notifications messed up.
- ✅ 𝐒𝐨𝐥𝐮𝐭𝐢𝐨𝐧: Check email settings.

11. 𝐒𝐂𝐌 𝐂𝐨𝐧𝐟𝐢𝐠𝐮𝐫𝐚𝐭𝐢𝐨𝐧 𝐄𝐫𝐫𝐨𝐫𝐬:
- 😤 𝐄𝐫𝐫𝐨𝐫: Source code setup is wrong.
- ✅ 𝐒𝐨𝐥𝐮𝐭𝐢𝐨𝐧: Verify settings for Git, SVN, etc.

12. 𝐉𝐞𝐧𝐤𝐢𝐧𝐬 𝐉𝐨𝐛 𝐓𝐫𝐢𝐠𝐠𝐞𝐫𝐢𝐧𝐠:
- 😕𝐄𝐫𝐫𝐨𝐫: Jobs not running.
- ✅𝐒𝐨𝐥𝐮𝐭𝐢𝐨𝐧: Review job triggering settings.

Remember, always read the error messages and logs, and you can usually figure things out. If you're still stuck, ask the Jenkins community for help. 😊


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💟 Placement Material - TCS
https://drive.google.com/drive/u/0/folders/1I8QqnzZonRewbSnUMyfC9-tRduEJ4gyB

💟 Placement Material - Zenpact
https://drive.google.com/drive/u/0/folders/1xWFAJguXXuvjRKYB5aWBiyrftCxxozK-

💟 Placement Material - Audi Time
https://drive.google.com/drive/u/0/folders/1oiJn-YcJwZ7_UQ_keW6qA3-GUW19sK6Q

💟 Placement Material - TEK system
https://drive.google.com/drive/u/0/folders/1cgUttmyCZcFsqqk8uKZVSV_qi7oe32Ov

💟 Placement Material - Cocubes
https://drive.google.com/drive/u/0/folders/17iQT-S9qT0HUyA-Ks1QDJs_cTBZp5gGN

💟 Infosys, Accenture, HCL -> https://bit.ly/NextLevel-AI


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🔥 AWS DEVOPS REAL-TIME DEPLOYMENT

✨ Development → Pre-PROD → Production ⏰

🔗 Detailed Project Explanation with Screenshots : https://harshhaa.hashnode.dev/aws-devops-real-time-deployment-dev-pre-prod-production

🔗Project Source code: https://github.com/NotHarshhaa/AWS-DevOps_Real-Time_Deployment


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❤️‍🔥 Simple Docker Project for Freshers ❤️‍🔥

📁 Just sharing an insightful Docker Project document! Dive into the world of containerization and discover how Docker streamlines application deployment and management.


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♾ Understanding platform engineering is essential for DevOps engineers for several reasons: ♾

1️⃣. Holistic View of Infrastructure: DevOps emphasizes the need for collaboration between development and operations. Platform engineering offers a holistic view of the entire infrastructure, allowing DevOps engineers to understand better how applications are deployed, managed, and scaled. By understanding the intricacies of platform engineering, DevOps engineers can design deployment pipelines that align with the platform's strengths and limitations.

2️⃣. Efficiency and Automation: Platform engineering often involves designing and implementing self-service platforms and tools. By understanding these platforms, DevOps engineers can leverage them to automate repetitive tasks, reduce manual interventions, and streamline the software delivery process.

3️⃣. Scalability and Performance: As applications grow, they often need to be scaled to handle increased loads. A thorough understanding of platform engineering ensures that DevOps engineers know the best practices for scaling applications, optimizing resources, and ensuring high availability.

4️⃣. Security and Compliance: Platform engineering encompasses security at the infrastructure level. DevOps engineers with knowledge in this area can ensure that applications are deployed in a secure environment compliant with industry standards and regulations.

5️⃣. Cost Management: Cloud platforms, a significant part of platform engineering, operate on a pay-as-you-go model. By understanding how these platforms work, DevOps engineers can make informed decisions about resource allocation optimizing costs while ensuring performance.

6️⃣. Innovation: Platform engineering often involves updating the latest technologies and trends. A DevOps engineer who understands platform engineering is better positioned to adopt and integrate new technologies into the DevOps workflow, driving innovation.

7️⃣. Cross-functional Collaboration: Platform engineering requires collaboration with various security, network, and database teams. A DevOps engineer with knowledge in platform engineering can effectively communicate and collaborate with these teams, ensuring smooth deployment and operations.

8️⃣. Custom Tooling: Sometimes, off-the-shelf tools might not meet an organization's unique needs. Understanding platform engineering can empower DevOps engineers to develop custom tools and solutions tailored to the organization's requirements.


Understanding platform engineering equips DevOps engineers with a comprehensive view of the infrastructure and tools.

This knowledge enables them to optimize workflows, ensure security and compliance, manage costs, and drive innovation, leading to more efficient and effective software delivery processes.


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🟩 Docker Free Videos 🐬

🔗Link : https://drive.google.com/drive/folders/1lXSplxsWu-7f4Bbb3V9o-Em4XUahWVeD?usp=sharing


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🟡 Overview of AWS API Gateway: Building, Deploying, and Managing APIs in AWS

AWS API Gateway is a fully managed service provided by Amazon Web Services (AWS) that enables you to create, publish, and manage RESTful or WebSocket APIs for your applications. It serves as a gateway for your backend services, making it easier for clients, such as web or mobile applications, to interact with your APIs.

💡Key features of AWS API Gateway include:

1️⃣. API Creation: You can define and create APIs, set up endpoints, and configure request and response transformations.

2️⃣. API Deployment: API Gateway allows you to deploy your APIs to different stages (e.g., development, production) and manage the deployment lifecycle.

3️⃣. Authorization and Authentication: You can control access to your APIs by setting up various authentication methods, including AWS Identity and Access Management (IAM), Lambda authorizers, and more.

4️⃣. Monitoring and Logging: API Gateway provides detailed monitoring and logging capabilities, including request/response logging, access to CloudWatch metrics, and integration with AWS X-Ray for tracing.

5️⃣. Security: You can use features like API keys, IAM roles, and AWS WAF (Web Application Firewall) to enhance the security of your APIs.

6️⃣. Rate Limiting and Throttling: API Gateway allows you to control the rate at which clients can make requests to your APIs, helping to prevent abuse.

7️⃣. Integration with Other AWS Services: You can integrate your APIs with various AWS services, including AWS Lambda, AWS S3, and more, to build serverless applications and microservices.

8️⃣. Cross-Origin Resource Sharing (CORS): API Gateway supports CORS configuration, which is important for enabling web applications to make cross-origin requests.

Overall, AWS API Gateway is a versatile service that simplifies the process of creating and managing APIs, making it a valuable tool for developers building scalable and secure applications on AWS.


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♾ Kubernetes All End-to-End Content 2023

This Includes:

- All Kubernetes Content
- Kubernetes Realtime scenarios
- All Kubernetes Exercises with solutions
- No More AWS PDFs needed
- Easy to Learn from anywhere
- Detailed Explanation guide
- All Kubernetes Tricks & Techniques for DevOps guy
- Added Certified Kubernetes Administrator (CKA) Notes
- All Kubernetes Realtime examples included

🔗Link: https://github.com/NotHarshhaa/into-the-devops/tree/master/topics/kubernetes


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🆘 Here is every AWS Certification you can earn

📝 Sorted By 4 Categories:

🟡 Foundational
➡️ AWS Certified Cloud Practitioner
https://lnkd.in/gQq_EERV

🟡 Associate
➡️ AWS Certified Solutions Architect
https://lnkd.in/g7RBTgKW
➡️ AWS Certified Developer
https://lnkd.in/g2F5UFHg
➡️ AWS Certified SysOps Administrator
https://lnkd.in/giM_2_Qj
➡️ AWS Certified Data Engineer
https://lnkd.in/g687nbeH

🟡 Professional
➡️ AWS Certified Solutions Architect Pro
https://lnkd.in/gUqrz8X3
➡️ AWS Certified DevOps Engineer Pro
https://lnkd.in/gbPWeUuR

🟡 Specialty
➡️ Advanced Networking
https://lnkd.in/ggdVTA2C
➡️ Data Analytics
https://lnkd.in/gnr_BvKH
➡️ Database
https://lnkd.in/gN64Xv49
➡️ Machine Learning
https://lnkd.in/g9fVgwCp
➡️ Security
https://lnkd.in/gwHscntY
➡️ SAP on AWS
https://lnkd.in/gMMpuhZM


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Empowering my network with the ultimate Docker cheat sheet – because efficiency is the key to navigating the tech realm! 💻 🚀


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❤️‍🔥 The Ultimate Docker 50 commands ❤️‍🔥
_________________
docker run - run a container from an image
docker pull - pull an image from a registry
docker push - push an image to a registry
docker build - build an image from a Dockerfile
docker ps - list running containers
docker stop - stop a running container
docker start - start a stopped container
docker restart - restart a container
docker logs - show the logs of a container
docker exec - execute a command inside a running container
docker images - list available images
docker rm - remove a container
docker rmi - remove an image
docker inspect - show information about a container
docker network create - create a network for containers to communicate
docker network connect - connect a container to a network
docker network disconnect - disconnect a container from a network
docker port - show the mapped ports of a container
docker cp - copy files between a container and the host
docker commit - create a new image from a container's changes
docker login - log in to a registry
docker logout - log out of a registry
docker tag - tag an image with a new name
docker export - export the contents of a container as a tar archive
docker import - create a new image from a tar archive
docker save - save an image as a tar archive
docker load - load an image from a tar archive
docker top - show the processes running inside a container
docker stats - show resource usage statistics of containers
docker diff - show the changes made to a container's filesystem
docker events - show the events generated by Docker
docker history - show the history of an image
docker pause - pause a running container
docker unpause - unpause a paused container
docker kill - send a signal to a container to stop it abruptly
docker wait - wait for a container to exit and return its exit code
docker attach - attach to a running container's console
docker buildx - build and push multi-platform images
docker compose - manage multi-container applications with Docker Compose
docker swarm - create and manage a cluster of Docker nodes
docker volume create - create a named volume for persistent data storage
docker volume ls - list available volumes
docker volume rm - remove a named volume
docker system prune - remove all unused objects from Docker
docker system df - show the usage of Docker objects
docker system events - show the events generated by Docker on the system
docker system info - show the system-wide information about Docker
docker system inspect - show detailed information about Docker objects
docker system logs - show the system logs of Docker
docker system version - show the version of Docker installed on the system


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🧠 AWS Billing Alert Terraform Module

⚙️ Excited to share my latest open-source contribution - The AWS Billing Alert Terraform Module!

🌐 Link: https://github.com/NotHarshhaa/aws-billing-alert-terraform.git

Navigating AWS costs can sometimes be tricky. To aid users in proactive cost management, I've developed a Terraform module that automates the setup of billing alerts. With this tool, you'll receive timely notifications if your AWS charges cross predefined thresholds.

📊 Integrated with AWS #CloudWatch - Monitor your #billing metrics seamlessly.

📣 Leverages AWS #SNS - Get instant notifications so you can act swiftly.
For those keen on ensuring their AWS expenses stay within predictable boundaries, this tool is a valuable asset for every AWS Engineer.


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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

🔗 https://github.com/NotHarshhaa/AWS-DevOps_Real-Time_Deployment.git

♾ AWS DevOps Realtime Deployment scripts ♾

🔥Most Useful DevOps/Cloud GitHub Repositories to Learning and Become a DevOps Engineer ♾


1️⃣. DevOps Realtime Projects (Beginner to Experienced): Link

2️⃣. Into The DevOps of Every tools: Link

3️⃣. DevOps Setup-Installations Guides: Link

4️⃣. Roadmap to learn Kubernetes so easy: Link

5️⃣. List of Best DevOps Tools with Detailed: Link

6️⃣. End to End CI/CD Pipeline Deployment on AWS EKS: Link

7️⃣. Becoming a Kubernetes Administrator Learning path: Link

8️⃣. Azure All-in-one Guide: Link

9️⃣. Terraform: Deploy an EKS Cluster-Like a Boss!: Link

1️⃣0️⃣. All In one Buddle of Kubernetes: Link

1️⃣1️⃣. Kubernetes Dashboard with integrated Health checks: Link

1️⃣2️⃣. AWS Billing Alert terraform module: Link


♥️Credits: @NotHarshhaa ✅

❤️ Follow for more: @prodevopsguy

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