DevOps & Cloud (AWS, AZURE, GCP) Tech Free Learning
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Let's face it: the only thing more relentless than the pace of innovation in DevOps is our collective ability to find excuses not to keep up with it! 🏃💨

Embrace the chaos, love the learning, and remember: if DevOps feels like it's pushing you out of your comfort zone, it's probably because your comfort zone could use a bit of cloud-based scalability and automation. 😜


😎 𝗙𝗼𝗹𝗹𝗼𝘄 @prodevopsguy 𝗳𝗼𝗿 𝗺𝗼𝗿𝗲 𝘀𝘂𝗰𝗵 𝗰𝗼𝗻𝘁𝗲𝗻𝘁 𝗮𝗿𝗼𝘂𝗻𝗱 𝗰𝗹𝗼𝘂𝗱 & 𝗗𝗲𝘃𝗢𝗽𝘀!!! // Join for DevOps DOCs: @devopsdocs
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𝗧𝗿𝗮𝗱𝗶𝘁𝗶𝗼𝗻𝗮𝗹 𝗱𝗲𝘃𝗲𝗹𝗼𝗽𝗺𝗲𝗻𝘁 𝘄𝗼𝗿𝗸𝗳𝗹𝗼𝘄𝘀 often suffer from environment inconsistencies, portability issues, and complex deployments.

➡️Virtual machines (VMs) offer some isolation, but they're resource-hungry and slow.
Enter 𝗗𝗼𝗰𝗸𝗲𝗿, the containerization platform that has revolutionized software development.

➡️𝗪𝗵𝗮𝘁 𝗶𝘀 𝗗𝗼𝗰𝗸𝗲𝗿? 🐬
Docker 𝗽𝗮𝗰𝗸𝗮𝗴𝗲𝘀 𝘆𝗼𝘂𝗿 𝗮𝗽𝗽𝗹𝗶𝗰𝗮𝘁𝗶𝗼𝗻 𝗮𝗻𝗱 𝗶𝘁𝘀 𝗱𝗲𝗽𝗲𝗻𝗱𝗲𝗻𝗰𝗶𝗲𝘀 𝗶𝗻𝘁𝗼 𝗮 𝘀𝘁𝗮𝗻𝗱𝗮𝗿𝗱𝗶𝘇𝗲𝗱 𝘂𝗻𝗶𝘁 called a 𝗰𝗼𝗻𝘁𝗮𝗶𝗻𝗲𝗿.
This container is 𝗶𝘀𝗼𝗹𝗮𝘁𝗲𝗱 from the underlying system, ensuring your application runs 𝗰𝗼𝗻𝘀𝗶𝘀𝘁𝗲𝗻𝘁𝗹𝘆 across different environments.

➡️𝗧𝗵𝗶𝗻𝗸 𝗼𝗳 𝗶𝘁 𝗹𝗶𝗸𝗲 𝘁𝗵𝗶𝘀:
Imagine a shipping container.
You pack all your application's clothes (code and dependencies) inside.
This container can then be shipped anywhere (deployed anywhere) and unpacked (run) with the same contents and behavior.

➡️𝗪𝗵𝘆 𝗗𝗼𝗰𝗸𝗲𝗿 𝗼𝘃𝗲𝗿 𝗩𝗠𝘀?
Compared to VMs, Docker containers:
Are lightweight: They share the host OS, requiring fewer resources and booting faster.
Are portable: Run them anywhere with the same consistency, regardless of the underlying system.
Are immutable: Changes are isolated within the container, simplifying deployments and rollbacks.

➡️𝗗𝗼𝗰𝗸𝗲𝗿'𝘀 𝗯𝗲𝗻𝗲𝗳𝗶𝘁𝘀:
Streamlined development and deployment: Spin up isolated test environments quickly, collaborate seamlessly, and automate deployments.
Improved resource efficiency: Containers share resources, maximizing server utilization.
Microservices architecture: Package and deploy individual services independently.
Cloud-native compatibility: Works seamlessly across different cloud providers.
Enhanced security: Isolated containers minimize attack surfaces.

➡️𝗪𝗵𝗲𝗻 𝘁𝗼 𝘂𝘀𝗲 𝗗𝗼𝗰𝗸𝗲𝗿:
• Microservices architecture
• Continuous integration and continuous delivery (CI/CD) pipelines
• Legacy application modernization
• Multi-cloud deployments

➡️𝗗𝗼𝗰𝗸𝗲𝗿'𝘀 𝗰𝗼𝗺𝗽𝗲𝘁𝗶𝘁𝗶𝗼𝗻:
Podman: Open-source container engine similar to Docker.
LXC (Linux Containers): Lightweight containerization alternative.


😎 𝗙𝗼𝗹𝗹𝗼𝘄 @prodevopsguy 𝗳𝗼𝗿 𝗺𝗼𝗿𝗲 𝘀𝘂𝗰𝗵 𝗰𝗼𝗻𝘁𝗲𝗻𝘁 𝗮𝗿𝗼𝘂𝗻𝗱 𝗰𝗹𝗼𝘂𝗱 & 𝗗𝗲𝘃𝗢𝗽𝘀!!!
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📌 Who said Kubernetes is simple. 😂

➡️ Before you dream of Kubernetes auto pilot, you should have this covered:

🔣 CI/CD pipelines? Done
🔣 Per app IAM roles? Done
🔣 Pod security policies? Done
🔣 Load balancing rules? Done
🔣 Secrets management? Done
🔣 Cluster health checks? Done
🔣 CRDs for extensibility? Done
🔣 Disaster recovery plans? Done
🔣 High availability setups? Done
🔣 Role-based access control? Done
🔣 Multi-tenancy architectures? Done
🔣 Proactive capacity planning? Done
🔣 Persistent storage solutions? Done
🔣 Cost management strategies? Done
🔣 Service mesh implementation? Done
🔣 Network wide service discovery? Done
🔣 Apps Dependency management? Done
🔣 Container vulnerability scanning? Done
🔣 Per app network security policies? Done
🔣 Resource monitoring and logging? Done
🔣 Zero downtime Update strategies? Done
🔣 Machine pool isolation for services? Done
🔣 Compliance and governance checks? Done
🔣 Pod communication network policies? Done
🔣 Deployment versioning and rollbacks? Done
🔣 Fleet-wide config updates in real-time? Done
🔣 Path-based HTTP routing within cluster? Done
🔣 Efficient resources labeling and tagging? Done
🔣 Economical deployment on spot instances? Done
🔣 Auto-scaling based on performance metrics? Done

Otherwise, you risk falling into a pattern of reactive responses, never fully seizing the initiative.

It's like starring in your own tech horror show.
😅


😎 𝗙𝗼𝗹𝗹𝗼𝘄 @prodevopsguy 𝗳𝗼𝗿 𝗺𝗼𝗿𝗲 𝘀𝘂𝗰𝗵 𝗰𝗼𝗻𝘁𝗲𝗻𝘁 𝗮𝗿𝗼𝘂𝗻𝗱 𝗰𝗹𝗼𝘂𝗱 & 𝗗𝗲𝘃𝗢𝗽𝘀!!! // Join for DevOps DOCs: @devopsdocs
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🚀 Unlock the Power of Kubernetes Scaling Strategies! 🚀

Looking to optimize your Kubernetes deployment for peak performance? Explore these cutting-edge scaling strategies:

1⃣. Horizontal Pod Autoscaling (HPA): Effortlessly adjust pod counts based on CPU usage and more.
2⃣. Vertical Pod Autoscaling (VPA): Fine-tune CPU and memory resources for optimal efficiency.
3⃣. Cluster Autoscaling: Dynamically scale your cluster to meet workload demands in real-time.
4⃣. Manual Scaling: Take control with manual replica adjustments using simple commands.
5⃣. Predictive Scaling: Harness AI to predict future demands and scale proactively with tools like PredictKube.
6⃣. Custom Metrics Based Scaling: Tailor scaling based on custom metrics beyond CPU and memory.


😎 𝗙𝗼𝗹𝗹𝗼𝘄 @prodevopsguy 𝗳𝗼𝗿 𝗺𝗼𝗿𝗲 𝘀𝘂𝗰𝗵 𝗰𝗼𝗻𝘁𝗲𝗻𝘁 𝗮𝗿𝗼𝘂𝗻𝗱 𝗰𝗹𝗼𝘂𝗱 & 𝗗𝗲𝘃𝗢𝗽𝘀!!! // Join for DevOps DOCs: @devopsdocs
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🔥 Here is a list of some Resume Ready DevOps projects.

1⃣ 𝗝𝗲𝗻𝗸𝗶𝗻𝘀 𝗖𝗜𝗖𝗗 𝘄𝗶𝘁𝗵 𝗚𝗶𝘁𝗛𝘂𝗯 𝗜𝗻𝘁𝗲𝗴𝗿𝗮𝘁𝗶𝗼𝗻
🔗 https://lnkd.in/gbDBEASe

🔢 𝗗𝗲𝗽𝗹𝗼𝘆 𝗝𝗮𝘃𝗮 𝗮𝗽𝗽𝗹𝗶𝗰𝗮𝘁𝗶𝗼𝗻 𝘄𝗶𝘁𝗵 𝗖𝗼𝗺𝗽𝗹𝗲𝘁𝗲 𝗖𝗜/𝗖𝗗 𝗽𝗶𝗽𝗲𝗹𝗶𝗻𝗲 𝗝𝗲𝗻𝗸𝗶𝗻𝘀
🔗 https://lnkd.in/gSJaF4VN

🔢 𝗗𝗲𝘃𝗢𝗽𝘀 𝗖𝗜𝗖𝗗 𝗣𝗶𝗽𝗲𝗹𝗶𝗻𝗲 𝗦𝗲𝘁𝘂𝗽 𝗧𝗵𝗿𝗼𝘂𝗴𝗵 { 𝗝𝗲𝗻𝗸𝗶𝗻𝘀 | 𝗡𝗲𝘅𝘂𝘀 | 𝗦𝗼𝗻𝗮𝗿𝗾𝘂𝗯𝗲 | 𝗧𝗼𝗺𝗰𝗮𝘁 | 𝗠𝗮𝘃𝗲𝗻 }
🔗 https://lnkd.in/gvDYKMxV

🔢 𝗝𝗲𝗻𝗸𝗶𝗻𝘀 𝗖𝗜𝗖𝗗 𝘄𝗶𝘁𝗵 𝗚𝗶𝘁𝗛𝘂𝗯 𝗜𝗻𝘁𝗲𝗴𝗿𝗮𝘁𝗶𝗼𝗻
🔗 https://lnkd.in/g-eaM_EA

🔢 𝗖𝗼𝗻𝘁𝗶𝗻𝘂𝗼𝘂𝘀 𝗗𝗲𝗹𝗶𝘃𝗲𝗿𝘆 𝗣𝗶𝗽𝗲𝗹𝗶𝗻𝗲 𝗳𝗼𝗿 𝗔𝗺𝗮𝘇𝗼𝗻 𝗘𝗖𝗦 𝗨𝘀𝗶𝗻𝗴 𝗝𝗲𝗻𝗸𝗶𝗻𝘀, 𝗚𝗶𝘁𝗛𝘂𝗯, 𝗮𝗻𝗱 𝗔𝗺𝗮𝘇𝗼𝗻 𝗘𝗖𝗥
🔗 https://lnkd.in/gN7WXAnX

🔢 𝗣𝗿𝗼𝘃𝗶𝘀𝗶𝗼𝗻𝗶𝗻𝗴 𝟮-𝘁𝗶𝗲𝗿𝘀 𝗮𝗻𝗱 𝟯-𝘁𝗶𝗲𝗿𝘀 𝗔𝗪𝗦 𝗩𝗣𝗖 𝗶𝗻𝗳𝗿𝗮𝘀𝘁𝗿𝘂𝗰𝘁𝘂𝗿𝗲 𝘂𝘀𝗶𝗻𝗴 𝗧𝗲𝗿𝗿𝗮𝗳𝗼𝗿𝗺
🔗 https://lnkd.in/g2Y_Nk6N

🔢 𝗕𝗲𝘀𝘁 𝗝𝗲𝗻𝗸𝗶𝗻𝘀 𝗣𝗶𝗽𝗲𝗹𝗶𝗻𝗲 𝗧𝘂𝘁𝗼𝗿𝗶𝗮𝗹 𝗙𝗼𝗿 𝗕𝗲𝗴𝗶𝗻𝗻𝗲𝗿𝘀
🔗 https://lnkd.in/gF93WwrB

🔢 𝗘𝗻𝗱 𝘁𝗼 𝗘𝗻𝗱 𝗖𝗜/𝗖𝗗 𝗽𝗶𝗽𝗲𝗹𝗶𝗻𝗲 𝘂𝘀𝗶𝗻𝗴 𝗚𝗶𝘁𝗛𝘂𝗯 𝗔𝗰𝘁𝗶𝗼𝗻𝘀 𝗳𝗼𝗿 𝗔𝗻𝗱𝗿𝗼𝗶𝗱 𝗔𝗽𝗽𝗹𝗶𝗰𝗮𝘁𝗶𝗼𝗻
🔗 https://lnkd.in/gB-Vvi7r

🔢 𝗖𝗿𝗲𝗮𝘁𝗲, 𝗽𝘂𝗯𝗹𝗶𝘀𝗵, 𝗮𝗻𝗱 𝘀𝘁𝗼𝗿𝗲 𝗡𝗴𝗶𝗻𝘅 𝗗𝗼𝗰𝗸𝗲𝗿 𝗶𝗺𝗮𝗴𝗲 𝗶𝗻 𝗔𝗪𝗦 𝗦𝟯 𝘂𝘀𝗶𝗻𝗴 𝗗𝗼𝗰𝗸𝗲𝗿 𝗮𝗻𝗱 𝗕𝗮𝘀𝗵
🔗 https://lnkd.in/g4iUncv9


🎄 𝗙𝗼𝗹𝗹𝗼𝘄 @prodevopsguy 𝗳𝗼𝗿 𝗺𝗼𝗿𝗲 𝘀𝘂𝗰𝗵 𝗰𝗼𝗻𝘁𝗲𝗻𝘁 𝗮𝗿𝗼𝘂𝗻𝗱 𝗰𝗹𝗼𝘂𝗱 & 𝗗𝗲𝘃𝗢𝗽𝘀!!!
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🔔 Here is a list of some Resume Ready DevOps projects (Part-II)

➡️ Real-Time CI CD Pipeline From Scratch with Jenkins:-
🔗 https://lnkd.in/day6k4GE

➡️ Creating AWS EKS Cluster using Terraform:-
🔗 https://lnkd.in/gjtjHuw4

➡️ Cost Optimization through AWS Lambda Function:-
🔗 https://lnkd.in/drDazJ9E

➡️ AWS Ninja — Convert EBS Volume from gp2 to gp3:-
🔗 https://lnkd.in/d6mUFdEK

➡️ Real-World CI/CD DevSecOps Pipeline for Deployment of Python Web-app:-
🔗 https://lnkd.in/d-TJisDn

➡️ AWS S3 Event Triggering Shell Script Used by Netflix, Airbnb, Adobe, Expedia, and Others :-
🔗 https://lnkd.in/dXhzdwP8

➡️ Deploy Multi Stage CICD Pipeline with Amazon EKS :-
🔗 https://lnkd.in/dEn7Vexj

➡️ Deploying Spring Boot application on K8S :-
🔗 https://lnkd.in/d8E_N_eg

➡️ Netflix Clone application via K8's:-
🔗 https://lnkd.in/d2zBUdMG
🔗 https://lnkd.in/dPVTDK9r

➡️ Deploy a Flask Application to a EKS Cluster using Jenkins and ArgoCD :-
🔗 https://lnkd.in/dn8WtnWj


🎄 𝗙𝗼𝗹𝗹𝗼𝘄 @prodevopsguy 𝗳𝗼𝗿 𝗺𝗼𝗿𝗲 𝘀𝘂𝗰𝗵 𝗰𝗼𝗻𝘁𝗲𝗻𝘁 𝗮𝗿𝗼𝘂𝗻𝗱 𝗰𝗹𝗼𝘂𝗱 & 𝗗𝗲𝘃𝗢𝗽𝘀!!!
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🔔 Here is a list of some Resume Ready DevOps projects.(Part-III)


➡️ Deploying Super Mario on Amazon EKS
🔗 (https://lnkd.in/d2JVCw6M)

➡️ 🚀 Designing a 10-Microservices Application Deployment on EKS! 🤖
🔗 (https://lnkd.in/dFuq9mMA)

➡️ Uber Clone DevSecOps Project
🔗 (https://lnkd.in/dTXm9_h9)

➡️ 3-Tier Robot Shop App On EKS
🔗 (https://lnkd.in/dtFK8Xj7)

➡️ Full Stack CICD Virtual Browser Project
🔗 (https://lnkd.in/d2ZErR2b)


💬 𝗙𝗼𝗹𝗹𝗼𝘄 @prodevopsguy 𝗳𝗼𝗿 𝗺𝗼𝗿𝗲 𝘀𝘂𝗰𝗵 𝗰𝗼𝗻𝘁𝗲𝗻𝘁 𝗮𝗿𝗼𝘂𝗻𝗱 𝗰𝗹𝗼𝘂𝗱 & 𝗗𝗲𝘃𝗢𝗽𝘀!!!
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📌 𝐄𝐱𝐩𝐥𝐨𝐫𝐞 𝐃𝐞𝐯𝐎𝐩𝐬 𝐓𝐨𝐨𝐥𝐬 𝐒𝐭𝐚𝐜𝐤

Setting up an effective DevOps pipeline involves a combination of practices, tools, and cultural considerations.


🎄 𝗙𝗼𝗹𝗹𝗼𝘄 @prodevopsguy 𝗳𝗼𝗿 𝗺𝗼𝗿𝗲 𝘀𝘂𝗰𝗵 𝗰𝗼𝗻𝘁𝗲𝗻𝘁 𝗮𝗿𝗼𝘂𝗻𝗱 𝗰𝗹𝗼𝘂𝗱 & 𝗗𝗲𝘃𝗢𝗽𝘀!!! // Join for DevOps DOCs: @devopsdocs
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𝐋𝐢𝐬𝐭 𝐨𝐟 𝐟𝐫𝐞𝐞 𝐜𝐨𝐮𝐫𝐬𝐞𝐬 𝐭𝐨 𝐭𝐫𝐚𝐧𝐬𝐟𝐨𝐫𝐦 𝐘𝐨𝐮𝐫 𝐒𝐤𝐢𝐥𝐥𝐬: 𝐃𝐢𝐯𝐞 𝐢𝐧𝐭𝐨 𝐭𝐡𝐞 𝐖𝐨𝐫𝐥𝐝 𝐨𝐟 𝐃𝐞𝐯𝐎𝐩𝐬 & 𝐁𝐚𝐜𝐤𝐞𝐧𝐝 𝐰𝐢𝐭𝐡 𝐭𝐡𝐞𝐬𝐞 𝐦𝐮𝐬𝐭 𝐭𝐫𝐲 𝐅𝐫𝐞𝐞 𝐂𝐨𝐮𝐫𝐬𝐞𝐬

🔢. 𝐏𝐲𝐭𝐡𝐨𝐧:
A scripting language used for automation in DevOps.
🔗 https://lnkd.in/gTEsX2VC

🔢. 𝐆𝐢𝐭:
Distributes version control system handles everything from small to very large projects with speed and efficiency.
🔗 https://lnkd.in/gFTyTWCC

🔢. 𝐂𝐥𝐨𝐮𝐝:
Its fair to say the rapid increament of startUps is revolutionised by the cloud technology.
🔗 https://lnkd.in/gf6_8RNG

🔢. 𝐌𝐢𝐜𝐫𝐨𝐬𝐞𝐫𝐯𝐢𝐜𝐞𝐬:
An approach of making a loosely coupled application.
🔗 https://lnkd.in/gYqdHCdF

🔢. 𝐒𝐞𝐫𝐯𝐞𝐫𝐥𝐞𝐬𝐬:
Allows developers to build and run applications without worrying about servers.
🔗 https://lnkd.in/g8knM8uE

🔢. 𝐋𝐢𝐧𝐮𝐱:
Probably the most famous primitive yet secure OS to use
🔗 https://lnkd.in/ghmZybpz

🔢. 𝐃𝐞𝐯𝐎𝐩𝐬:
An exploding domain to learn (It is an ecosystem that takes care of continuous integration, delivery, deployment and monitoring)
🔗 https://lnkd.in/g6ryYv8N

🔢. 𝐃𝐨𝐜𝐤𝐞𝐫:
Packages application along with dependencies and libraries required to run the application.
🔗 https://lnkd.in/ggaqmu8p

🔢. 𝐊𝐮𝐛𝐞𝐫𝐧𝐞𝐭𝐞𝐬, 𝐎𝐩𝐞𝐧𝐒𝐡𝐢𝐟𝐭:
Manages the deployment of an application and have autoscaling and autohealing capabilities.
🔗 https://lnkd.in/gsKYTciW

🔢🔢. 𝐌𝐲𝐒𝐐𝐋:
Relational Database Management System
🔗 https://lnkd.in/gbmjQcsD


😎 𝗙𝗼𝗹𝗹𝗼𝘄 @prodevopsguy 𝗳𝗼𝗿 𝗺𝗼𝗿𝗲 𝘀𝘂𝗰𝗵 𝗰𝗼𝗻𝘁𝗲𝗻𝘁 𝗮𝗿𝗼𝘂𝗻𝗱 𝗰𝗹𝗼𝘂𝗱 & 𝗗𝗲𝘃𝗢𝗽𝘀!!! // Join for DevOps DOCs: @devopsdocs
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🔣 Introduction to Kubernetes (k8s) ~ The Orchestrator ⚓️

🚒 What is Kubernetes?
Kubernetes, commonly referred to as K8s, is an open-source container orchestration platform designed to automate the deployment, scaling, and management of containerized applications.

🚒 Key Concepts:
🚧 Nodes:
- Physical or virtual machines that form the cluster.
- Each node runs container runtime (like Docker), kubelet (agent for managing node), and a kube-proxy.

🚧 Pods:
- The smallest deployable units in kubernetes.
- Containers within a pod share the same network namespace, enabling them to communicate easily.

🚧 Services:
- Defines a set of pods and how they should be accessed.
- Provides a stable IP address and DNS name to access the pods.

🚧 ReplicaSets:
- Ensures a specified number of replicas (pods) are running at all times.
- Helps with scaling and ensuring high availability.

🚧 Deployments:
- Manages ReplicaSets, allowing declarative updates to applications.
- Supports rolling updates and rollbacks.

Basic Operations:
⛵️ Creating a Deployment:
- Defines the desired state for the application.
- Uses YAML files for configuration.
⛵️ Scaling:
- Adjusts the number of replicas for a Deployment or ReplicaSet.
⛵️ Service Discovery:
- Allows communication between different services within the cluster.
- Uses DNS names to locate services.
⛵️ Updating Deployments:
- Modifies the configuration to roll out updates.
- Supports rolling updates with zero downtime.
⛵️ Rollbacks:
- Reverts to a previous version in case of issues with a new deployment.

🚢 Kubernetes Architecture:
🛎 Master Node:
- Controls and manages the overall cluster.
- Components: kube-apiserver, kube-controller-manager, kube-scheduler, etcd (distributed key-value store).

🛎 Worker Node:
- Executes tasks assigned by the Master Node.
- Components: kubelet, container runtime (e.g., Docker), kube-proxy.


😎 𝗙𝗼𝗹𝗹𝗼𝘄 @prodevopsguy 𝗳𝗼𝗿 𝗺𝗼𝗿𝗲 𝘀𝘂𝗰𝗵 𝗰𝗼𝗻𝘁𝗲𝗻𝘁 𝗮𝗿𝗼𝘂𝗻𝗱 𝗰𝗹𝗼𝘂𝗱 & 𝗗𝗲𝘃𝗢𝗽𝘀!!! // Join for DevOps DOCs: @devopsdocs
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⚡️ If u start learning DevOps and Cloud Engineering today... ⚡️

🔣Here are the 8 things u would take more seriously.🔣

1⃣. 𝗡𝗲𝘁𝘄𝗼𝗿𝗸𝗶𝗻𝗴:
- Command-level operations are fine.
- To excel in system architecture, deep knowledge of network protocols, IP routing, firewall management, and secure communication channels is essential.

🔢. 𝗠𝗮𝘀𝘁𝗲𝗿𝗶𝗻𝗴 𝗖𝗟𝗜:
- GUIs are intuitive, but incomplete.
- Get started with CLI from Day 1.
- Terraform, Ansible, Kubernetes, AWS - you name it, every single provider has a CLI.

🔢. 𝗣𝗿𝗼𝗴𝗿𝗮𝗺𝗺𝗶𝗻𝗴:
- DevOps is not just about connecting tools.
- Automating tasks, writing hooks, API integration, and more needs solid programming expertise.
- Python, Go, Rust are promising choices.

🔢. 𝗔𝗣𝗜𝘀:
- No day goes by without an API.
- Authentication methods like OAuth, JWT, and contract testing are crucial for smooth service integration.
- Knowing how to effectively consume and design RESTful services cannot be a choice.

🔢. 𝗗𝗲𝗯𝘂𝗴𝗴𝗶𝗻𝗴:
- Robust troubleshooting skills across apps and infrastructure are non-negotiable.
- Tools such as strace, netstat, tcpdump, and app-specific debuggers enable swift, effective problem-solving.
- Tools aren't enough; couple it with an open mindset.

🔢. 𝗦𝗲𝗰𝘂𝗿𝗶𝘁𝘆 𝗛𝘆𝗴𝗶𝗲𝗻𝗲:
- Being security responsible from the start is imperative.
- Strict adherence to least privilege, RBAC, centralized secrets management, and a single source of truth is mandatory.

🔢. 𝗘𝘅𝗰𝗲𝗽𝘁𝗶𝗼𝗻 𝗛𝗮𝗻𝗱𝗹𝗶𝗻𝗴:
- Mastering how to catch, handle, and log exceptions can be a lifesaver in unexpected failure scenarios.

🔢. 𝗦𝗼𝗳𝘁 𝗦𝗸𝗶𝗹𝗹𝘀:
- Business is about dealing with humans; technology is built by and for humans.
- Effectively working in a team, understanding requirements, and clearly presenting technical solutions are underrated.
- But that makes all the difference more than anything else.

It's not about 'what if I start learning today.'


It's about understanding the gaps in the past and keeping updating.


🔣 Basically, never stop learning.


😎 𝗙𝗼𝗹𝗹𝗼𝘄 @prodevopsguy 𝗳𝗼𝗿 𝗺𝗼𝗿𝗲 𝘀𝘂𝗰𝗵 𝗰𝗼𝗻𝘁𝗲𝗻𝘁 𝗮𝗿𝗼𝘂𝗻𝗱 𝗰𝗹𝗼𝘂𝗱 & 𝗗𝗲𝘃𝗢𝗽𝘀!!! // Join for DevOps DOCs: @devopsdocs
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#devopshiring


😎 𝗙𝗼𝗹𝗹𝗼𝘄 @prodevopsguy 𝗳𝗼𝗿 𝗺𝗼𝗿𝗲 𝘀𝘂𝗰𝗵 𝗰𝗼𝗻𝘁𝗲𝗻𝘁 𝗮𝗿𝗼𝘂𝗻𝗱 𝗰𝗹𝗼𝘂𝗱 & 𝗗𝗲𝘃𝗢𝗽𝘀!!! // Join for DevOps DOCs: @devopsdocs
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📣 Opening - DevOps Engineer
GIIT Solutions

➡️ Location : Anywhere in all India
➡️ Skills : Jenkins, AWS
➡️ Notice : 90 Days
➡️ Qualification : Any
➡️ Salary : As per company
➡️ Experience : 0-2 Years

🔗 Apply from here - https://lnkd.in/dUUvxWNN


😎 𝗙𝗼𝗹𝗹𝗼𝘄 @prodevopsguy 𝗳𝗼𝗿 𝗺𝗼𝗿𝗲 𝘀𝘂𝗰𝗵 𝗰𝗼𝗻𝘁𝗲𝗻𝘁 𝗮𝗿𝗼𝘂𝗻𝗱 𝗰𝗹𝗼𝘂𝗱 & 𝗗𝗲𝘃𝗢𝗽𝘀!!! // Join for DevOps DOCs: @devopsdocs
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📌 Cloud Load Balancer Cheat Sheet

➡️ Efficient load balancing is vital for optimizing the performance and availability of your applications in the cloud.

However, managing load balancers can be overwhelming, given the various types and configuration options available.

In today's multi-cloud landscape, mastering load balancing is essential to ensure seamless user experiences and maximize resource utilization, especially when orchestrating applications across multiple cloud providers. Having the right knowledge is key to overcoming these challenges and achieving consistent, reliable application delivery.


😎 𝗙𝗼𝗹𝗹𝗼𝘄 @prodevopsguy 𝗳𝗼𝗿 𝗺𝗼𝗿𝗲 𝘀𝘂𝗰𝗵 𝗰𝗼𝗻𝘁𝗲𝗻𝘁 𝗮𝗿𝗼𝘂𝗻𝗱 𝗰𝗹𝗼𝘂𝗱 & 𝗗𝗲𝘃𝗢𝗽𝘀!!! // Join for DevOps DOCs: @devopsdocs
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❤️‍🔥 Ever imagined what a CI/CD pipeline might look like? Here's a glimpse:

1️⃣. 𝐏𝐥𝐚𝐧/𝐃𝐞𝐬𝐢𝐠𝐧, where great ideas turn into robust plans.
2️⃣. 𝐃𝐞𝐯𝐞𝐥𝐨𝐩, with every line of code embedded with security.
3️⃣. 𝐁𝐮𝐢𝐥𝐝 𝐚𝐧𝐝 𝐂𝐨𝐝𝐞 𝐚𝐧𝐚𝐥𝐲𝐬𝐢𝐬, maintaining the bar high.
4️⃣. 𝐓𝐞𝐬𝐭, rigorous and automated.
5️⃣. 𝐃𝐞𝐩𝐥𝐨𝐲, delivering continuous freshness.
6️⃣. 𝐌𝐨𝐧𝐢𝐭𝐨𝐫 𝐚𝐧𝐝 𝐀𝐥𝐞𝐫𝐭, with vigilance as the motto.

But the most critical element?
Making security a habit, not just a step.


😎 𝗙𝗼𝗹𝗹𝗼𝘄 @prodevopsguy 𝗳𝗼𝗿 𝗺𝗼𝗿𝗲 𝘀𝘂𝗰𝗵 𝗰𝗼𝗻𝘁𝗲𝗻𝘁 𝗮𝗿𝗼𝘂𝗻𝗱 𝗰𝗹𝗼𝘂𝗱 & 𝗗𝗲𝘃𝗢𝗽𝘀!!! // Join for DevOps DOCs: @devopsdocs
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🔔 DevOps, SRE, and Platform Engineering - making sense of the terminology! 🤔

Many enthusiasts whom I interviewed, didn't understand
the difference between DevOps, SRE, and Platform Engineering.


While these disciplines share similarities, there are nuances in their focus:

💻 DevOps emphasizes collaboration between dev and ops teams to optimize and accelerate software delivery.

📈 SRE focuses more on system reliability, availability, monitoring, and capacity planning.

🚀 Platform Engineering deals with building and managing the underlying infrastructure and platforms.

🔄 All three leverage automation, infra-as-code, and CI/CD.

📊 DevOps and SRE teams may own services end-to-end. Platform teams focus on shared platforms.

🎯 DevOps improves agility. SRE improves reliability. Platform Engineering improves developer productivity.

There's overlap in principles but differences in scope. Many organizations blend these roles for the best results.



😎 𝗙𝗼𝗹𝗹𝗼𝘄 @prodevopsguy 𝗳𝗼𝗿 𝗺𝗼𝗿𝗲 𝘀𝘂𝗰𝗵 𝗰𝗼𝗻𝘁𝗲𝗻𝘁 𝗮𝗿𝗼𝘂𝗻𝗱 𝗰𝗹𝗼𝘂𝗱 & 𝗗𝗲𝘃𝗢𝗽𝘀!!! // Join for DevOps DOCs: @devopsdocs
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🔣Platform engineering Vs DevOps..

Is this difference or is this same.

Let's look at the focus area of each and you determine if it's different or same.


😎 𝗙𝗼𝗹𝗹𝗼𝘄 @prodevopsguy 𝗳𝗼𝗿 𝗺𝗼𝗿𝗲 𝘀𝘂𝗰𝗵 𝗰𝗼𝗻𝘁𝗲𝗻𝘁 𝗮𝗿𝗼𝘂𝗻𝗱 𝗰𝗹𝗼𝘂𝗱 & 𝗗𝗲𝘃𝗢𝗽𝘀!!! // Join for DevOps DOCs: @devopsdocs
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☁️ 𝗔𝗪𝗦 𝗵𝗮𝘀 𝗼𝘃𝗲𝗿 𝟮𝟬𝟬 𝗳𝘂𝗹𝗹𝘆 𝗳𝗲𝗮𝘁𝘂𝗿𝗲𝗱 𝘀𝗲𝗿𝘃𝗶𝗰𝗲𝘀.
𝗠𝗼𝘀𝘁 𝗶𝗺𝗽𝗼𝗿𝘁𝗮𝗻𝘁 𝗔𝗪𝗦 𝘀𝗲𝗿𝘃𝗶𝗰𝗲𝘀 𝘆𝗼𝘂 𝘀𝗵𝗼𝘂𝗹𝗱 𝗹𝗲𝗮𝗿𝗻 𝘁𝗼 𝗯𝗲 𝗮 𝗗𝗲𝘃𝗢𝗽𝘀 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿.

✔️Amazon EC2
✔️AWS IAM
✔️AWS CloudFormation
✔️AWS CloudWatch
✔️AWS CodePipeline
✔️AWS CodeBuild
✔️AWS CodeDeploy
✔️Amazon ECS
✔️AWS Lambda
✔️AWS Elastic Beanstalk
✔️Amazon DynamoDB


😎 𝗙𝗼𝗹𝗹𝗼𝘄 @prodevopsguy 𝗳𝗼𝗿 𝗺𝗼𝗿𝗲 𝘀𝘂𝗰𝗵 𝗰𝗼𝗻𝘁𝗲𝗻𝘁 𝗮𝗿𝗼𝘂𝗻𝗱 𝗰𝗹𝗼𝘂𝗱 & 𝗗𝗲𝘃𝗢𝗽𝘀!!! // Join for DevOps DOCs: @devopsdocs
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F13 Technologies is hiring for an AWS Cloud Intern.

Share your resume at tarleen.kaur@f13.tech if interested.


😎 𝗙𝗼𝗹𝗹𝗼𝘄 @prodevopsguy 𝗳𝗼𝗿 𝗺𝗼𝗿𝗲 𝘀𝘂𝗰𝗵 𝗰𝗼𝗻𝘁𝗲𝗻𝘁 𝗮𝗿𝗼𝘂𝗻𝗱 𝗰𝗹𝗼𝘂𝗱 & 𝗗𝗲𝘃𝗢𝗽𝘀!!! // Join for DevOps DOCs: @devopsdocs
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➡️ What is DevOps and what DevOps engineer do?


➡️ DevOps is a set of practices, cultural philosophies, and tools that aim to improve collaboration, communication, and integration between software development (Dev) and IT operations (Ops) teams.

The goal of DevOps is to enable Organization to deliver high-quality software products and services more rapidly, reliably, and efficiently.

➡️ DevOps engineers play a critical role in enabling organizations to embrace DevOps culture and practices, driving agility, innovation, and efficiency in software development and delivery.

🌟 DevOps engineer gaining expertise in tools and technologies related to DevOps practices, such as version control systems, continuous integration/continuous deployment (CI/CD) pipelines, containerization, and cloud computing platforms, is essential for a successful career in DevOps engineering.


✈️ 𝗙𝗼𝗹𝗹𝗼𝘄 @prodevopsguy 𝗳𝗼𝗿 𝗺𝗼𝗿𝗲 𝘀𝘂𝗰𝗵 𝗰𝗼𝗻𝘁𝗲𝗻𝘁 𝗮𝗿𝗼𝘂𝗻𝗱 𝗰𝗹𝗼𝘂𝗱 & 𝗗𝗲𝘃𝗢𝗽𝘀!!! // Join for DevOps DOCs: @devopsdocs
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