☄️ 𝗕𝗲𝘀𝘁 𝐘𝐨𝐮𝐭𝐮𝐛𝐞 📱 𝐜𝐡𝐚𝐧𝐧𝐞𝐥𝐬 𝗧𝗼 𝗟𝗲𝗮𝗿𝗻 𝗗𝗲𝘃𝗢𝗽𝘀 ♾


🌐 LogicOps Lab by Ravish Rawat ( Real time Interview's )
🔗 https://lnkd.in/g3rtbjHb

🌐 Real time projects @mr.cloudbook
🔗 https://lnkd.in/gWWqHnJx

🌐 Train With Shubham by Shubham Londhe
🔗 https://lnkd.in/g9SwADkB

🌐 Tech Tutorials with Piyush by Piyush sachdeva (Azure and GCP cloud)
🔗 https://lnkd.in/g4iWpScc

🌐 TechWorld With Nana by Nana Janashia
🔗 https://lnkd.in/g7iFKKb9

🌐 KodeKloud by Mumshad Mannambeth
🔗 https://lnkd.in/g2jdc__p

🌐 Stéphane Maarek
🔗 https://lnkd.in/gzSbeKFt

🌐 Technical Guftgu by Bhupinder Rajput l भूपिंदर राजपूत l بھوپندر راجپوت In Hindi
🔗 https://lnkd.in/g8FYMCAS

🌐 Cloud Advocate by Krishna Chaitanya Gadhiraju (GK)
🔗 https://lnkd.in/giNb536Y

🌐 Abhishek Veeramalla
🔗 https://lnkd.in/gMfRacqy

🌐 Cloud Champ by Nasiullha Chaudhari
🔗 https://lnkd.in/gYUQ4r5x

🌐 Praveen Singampalli
🔗 https://lnkd.in/gVAeX8dZ


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

🚀 Excited to share the power of Prometheus in the world of 𝐃𝐞𝐯𝐎𝐩𝐬! 🌐

👉 𝐖𝐡𝐚𝐭 𝐢𝐬 𝐏𝐫𝐨𝐦𝐞𝐭𝐡𝐞𝐮𝐬?
Prometheus is an open-source monitoring and alerting toolkit designed for reliability and scalability. It's your go-to companion for gaining deep insights into your infrastructure and applications.

Here are some key points highlighting the advantages and applications of Prometheus:

🔢. 𝐑𝐞𝐚𝐥-𝐭𝐢𝐦𝐞 𝐌𝐨𝐧𝐢𝐭𝐨𝐫𝐢𝐧𝐠 📊:
➡️ Prometheus provides robust real-time monitoring, allowing DevOps teams to gain insights into system performance and quickly identify issues.

🔢. 𝐒𝐜𝐚𝐥𝐚𝐛𝐢𝐥𝐢𝐭𝐲 🚀:
➡️ Its scalable architecture makes Prometheus suitable for both small-scale setups and large, complex environments, ensuring adaptability as your infrastructure grows.

🔢. 𝐌𝐮𝐥𝐭𝐢-𝐝𝐢𝐦𝐞𝐧𝐬𝐢𝐨𝐧𝐚𝐥 𝐃𝐚𝐭𝐚 𝐌𝐨𝐝𝐞𝐥 🔄:
➡️ Embrace the flexibility of Prometheus' multi-dimensional data model, which simplifies querying and reporting, providing a comprehensive view of your system.

🔢. 𝐀𝐥𝐞𝐫𝐭𝐢𝐧𝐠 𝐚𝐧𝐝 𝐍𝐨𝐭𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧 🚨:
➡️ Enjoy proactive alerting capabilities that empower teams to detect anomalies and potential issues before they impact users, enabling a more reliable and resilient infrastructure.

🔢. 𝐒𝐞𝐫𝐯𝐢𝐜𝐞 𝐃𝐢𝐬𝐜𝐨𝐯𝐞𝐫𝐲 🌐:
➡️ Prometheus seamlessly integrates with service discovery mechanisms, making it an excellent choice for dynamic environments where instances and services may change dynamically.

🔢. 𝐑𝐢𝐜𝐡 𝐐𝐮𝐞𝐫𝐲 𝐋𝐚𝐧𝐠𝐮𝐚𝐠𝐞 💬:
➡️ Leverage Prometheus Query Language (PromQL) to perform complex queries and obtain meaningful insights, enabling a deep dive into the performance metrics of your applications.

🔢. 𝐎𝐩𝐞𝐧 𝐒𝐨𝐮𝐫𝐜𝐞 𝐂𝐨𝐦𝐦𝐮𝐧𝐢𝐭𝐲 🤝:
➡️ Engage with a vibrant and supportive open-source community that continually contributes to Prometheus' development, ensuring a cutting-edge and evolving monitoring solution.

🔢. 𝐈𝐧𝐭𝐞𝐠𝐫𝐚𝐭𝐢𝐨𝐧 𝐰𝐢𝐭𝐡 𝐆𝐫𝐚𝐟𝐚𝐧𝐚 📈:
➡️ Combine the power of Prometheus with Grafana for visually appealing and interactive dashboards, providing a user-friendly interface for monitoring and analysis.

🔢. 𝐂𝐨𝐧𝐭𝐚𝐢𝐧𝐞𝐫𝐢𝐳𝐚𝐭𝐢𝐨𝐧 𝐒𝐮𝐩𝐩𝐨𝐫𝐭 🐳:
➡️ Prometheus natively supports containerized environments, making it an ideal choice for organizations embracing container orchestration platforms like Kubernetes.

🔢🔢. 𝐂𝐥𝐨𝐮𝐝-𝐍𝐚𝐭𝐢𝐯𝐞 𝐌𝐨𝐧𝐢𝐭𝐨𝐫𝐢𝐧𝐠 ☁️:
➡️ Seamlessly adapt Prometheus to your cloud-native ecosystem, gaining visibility into distributed architectures and microservices.


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

🚨 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.


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

📢 100 Terraform Basic To Advanced Interview Questions & Answers


➡️Terraform is an open-source infrastructure as code software tool created by HashiCorp. It allows users to define and provision infrastructure using a high-level configuration language known as HashiCorp Configuration Language (HCL).

𝑓𝑜𝑟 𝑚𝑜𝑟𝑒 𝑖𝑛𝑓𝑜, 𝑦𝑜𝑢 𝑐𝑎𝑛 𝑐ℎ𝑒𝑐𝑘 𝑡ℎ𝑖𝑠 𝑙𝑖𝑛𝑘:
🖥 https://prodevopsguy.site/100-terraform-basic-to-advanced-interview-questions-answers


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

🚨 Bash Scripting Basics 📜

➡️Are you looking to automate repetitive tasks and improve efficiency? Look no further than Bash scripting! Bash, a command-line interpreter widely used in Unix-like operating systems, allows you to create and execute a series of commands in a personalized computing environment.

➡️Bash scripting offers several benefits, including automation of routine tasks, system administration, and batch processing of complex tasks. Additionally, Bash is available on most Unix-like systems, providing script portability across different environments.

➡️Cloud platforms also reap the benefits of Bash scripting. Infrastructure as Code (IaC) and automated deployment of applications and services on cloud servers are just a few use cases. Bash scripts can also facilitate dynamic resource scaling based on demand, optimize performance and cost, and automate backup processes to safeguard data on cloud storage.

➡️Enhance your cloud management with Bash scripting's ability to automate monitoring tasks, generate logs, and trigger alerts. Are you ready to improve your efficiency and streamline your processes? Consider Bash scripting for your next project.


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

🚨 Hiring Alert for DevOps Engineer

👉 Company: Pyrack
👉 Role: DevOps Engineer
👉 Location: Baner, Pune
👉 Exp: 6 months to 1 year ⏳
👉 Note: Immediate Joiner

✉️ Send your resume at hr@pyrack.com


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

𝗛𝗼𝘄 𝘁𝗼 𝗕𝗲𝗰𝗼𝗺𝗲 𝗮 𝗖𝗹𝗼𝘂𝗱 ⬆️ 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿 𝗶𝗻 𝟮𝟬𝟮𝟰: 𝗔 𝗖𝗼𝗺𝗽𝗹𝗲𝘁𝗲 𝗥𝗼𝗮𝗱𝗺𝗮𝗽 🚀


🔍 𝗦𝗸𝗶𝗹𝗹𝘀 𝘁𝗼 𝗔𝗰𝗾𝘂𝗶𝗿𝗲:
Gain proficiency and hands-on experience in Cloud Fundamentals, Linux, Programming, Scripting & Automation, IaC Tools, Containerization and Orchestration, Monitoring, Cloud Security and DB management.

🧑‍🎓 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴 & 𝗗𝗲𝘃𝗲𝗹𝗼𝗽𝗺𝗲𝗻𝘁:
Focus on obtaining Cloud certifications and take advantage of online courses to keep your skills up-to-date. There are tons of good FREE courses available on Udemy, YouTube, and Coursera.

⭐ 𝗖𝗮𝗿𝗲𝗲𝗿 𝗢𝗽𝗽𝗼𝗿𝘁𝘂𝗻𝗶𝘁𝗶𝗲𝘀:
Roles like Cloud Engineer, Cloud Architect, DevOps Engineer, and Cloud Consultant are just a few of the many possibilities in this fast-evolving field!

⚙️ 𝗧𝗼𝗼𝗹𝘀 & 𝗧𝗲𝗰𝗵𝗻𝗼𝗹𝗼𝗴𝗶𝗲𝘀:
Get hands-on experience with major cloud platforms (AWS, Azure, GCP), IaC tools (Terraform, CloudFormation, Ansible, Pulumi), Containerization (Docker, Kubernetes), CI/CD tools (Jenkins, GitLab CI/CD), and monitoring solutions like Prometheus, Grafana, ELK Stack.

➡️ Here’s the step-by-step guide:

1️⃣ Get proficient in basics of Cloud Computing and Linux
2️⃣ Gain experience in popular Programming and Scripting Languages like Python, Go, Bash etc.
3️⃣ Choose Your Preferred Cloud Platform
4️⃣ Learn Cloud Automation and Infrastructure as Code Tools
5️⃣ Build a Strong Foundation in DevOps and Networking
6️⃣ Understand Containers and Orchestration
7️⃣ Earn Valuable Cloud Certifications


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

🖥 https://prodevopsguy.xyz/devsecops-deploying-the-2048-game-on-docker-and-kubernetes-with-jenkins-cicd

🌟 𝗙𝗼𝗿 𝗺𝗼𝗿𝗲 𝗗𝗲𝘃𝗢𝗽𝘀/𝗖𝗹𝗼𝘂𝗱 𝗕𝗹𝗼𝗴𝘀 & 𝗮𝗿𝘁𝗶𝗰𝗹𝗲𝘀: LINK


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

🚨 𝗧𝘆𝗽𝗲𝘀 𝗼𝗳 𝗡𝗲𝘁𝘄𝗼𝗿𝗸𝘀 𝗶𝗻 𝗗𝗼𝗰𝗸𝗲𝗿 🐬

➡️𝑩𝒓𝒊𝒅𝒈𝒆:-
The default networking driver in Docker. This allows containers on the same host to talk to each other. If container A and B are on the same Bridge network, they can talk to each-other.

But if they’re on different bridge networks, they cannot talk to each other.

When you create a new network, unless you specify a different driver, it will be a Bridge network. Docker already creates one bridge network for you when you install it. And when you run a new container on your system, by default it connects to this bridge network.

➡️𝑯𝒐𝒔𝒕 :-
The host network driver can be used to remove network isolation between the container and its host machine. Unlike in bridge, a host network Container doesn’t get its own IP address. When it binds to a port, it is directly the host port. Host mode is useful for better performance because there’s no additional network layer in between. But it only works on Linux unless you use Docker Desktop.

➡️𝑶𝒗𝒆𝒓𝒍𝒂𝒚 :-
Overlay networks allow Docker containers on different host machines to talk to each other. They connect the Docker daemons running on these hosts to each other. This allows you to scale out horizontally. You don’t have to deploy all your containers on the same server.

➡️𝑵𝒐𝒏𝒆 :-
This means your container does not have any network and it is completely isolated from the host as well as other containers. This is more secure than the other drivers since all network communication is disabled. But of course, it is only good for some use cases.


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

50 Docker 🐬 Interview Questions & Answers


➡️Docker is a very popular and powerful open-source containerization platform that is used for building, deploying, and running applications. Docker allows you to decouple the application/software from the underlying infrastructure.

➡️Why Learn Docker?
Application development is a lot more than just writing code! They involve a lot of behind-the-scenes things like usage of multiple frameworks and architectures for every stage of its lifecycle which makes the process more complex and challenging. Using the nature of containerization helps developers to simplify and efficiently accelerate the application workflow along with giving them the liberty to develop using their own choice of technology and development environments.

𝑓𝑜𝑟 𝑚𝑜𝑟𝑒 𝑖𝑛𝑓𝑜, 𝑦𝑜𝑢 𝑐𝑎𝑛 𝑐ℎ𝑒𝑐𝑘 𝑡ℎ𝑖𝑠 𝑙𝑖𝑛𝑘:
🖥 https://prodevopsguy.site/50-docker-interview-questions-answers


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

13 𝐦𝐨𝐬𝐭 𝐜𝐨𝐦𝐦𝐨𝐧𝐥𝐲 𝐮𝐬𝐞𝐝 𝐜𝐨𝐦𝐦𝐚𝐧𝐝 𝐟𝐨𝐫 𝐊𝐮𝐛𝐞𝐫𝐧𝐞𝐭𝐞𝐬 🎯

Here are 13 of the most commonly used kubectl commands for managing a real production Kubernetes environment, along with explanations and common use cases:

✅ 𝐂𝐨𝐫𝐞 𝐌𝐚𝐧𝐚𝐠𝐞𝐦𝐞𝐧𝐭

#1 𝐤𝐮𝐛𝐞𝐜𝐭𝐥 𝐠𝐞𝐭
→ kubectl get pods (list pods)
→ kubectl get deployments (list deployments)
→ kubectl get services (list services)
→ kubectl get all (list most resources in a namespace)

#2 𝐤𝐮𝐛𝐞𝐜𝐭𝐥 𝐝𝐞𝐬𝐜𝐫𝐢𝐛𝐞
→ kubectl describe pod my-pod
→ kubectl describe node my-node

#3 𝐤𝐮𝐛𝐞𝐜𝐭𝐥 𝐜𝐫𝐞𝐚𝐭𝐞
→ kubectl create -f my-deployment.yaml

#4 𝐤𝐮𝐛𝐞𝐜𝐭𝐥 𝐚𝐩𝐩𝐥𝐲
→ kubectl apply -f my-deployment.yaml (apply a deployment definition)

#5 𝐤𝐮𝐛𝐞𝐜𝐭𝐥 𝐝𝐞𝐥𝐞𝐭𝐞
→ kubectl delete pod my-pod
→ kubectl delete service my-service

✅ Debugging and Troubleshooting

#6 𝐤𝐮𝐛𝐞𝐜𝐭𝐥 𝐥𝐨𝐠𝐬
→ kubectl logs my-pod
→ kubectl logs my-pod -c my-container (specify a container)

#7 𝐤𝐮𝐛𝐞𝐜𝐭𝐥 𝐞𝐱𝐞𝐜
→ kubectl exec -it my-pod -- bash (interactive shell)

#8 𝐤𝐮𝐛𝐞𝐜𝐭𝐥 𝐩𝐨𝐫𝐭-𝐟𝐨𝐫𝐰𝐚𝐫𝐝
→ kubectl port-forward my-pod 8080:80

#9 𝐤𝐮𝐛𝐞𝐜𝐭𝐥 𝐭𝐨𝐩
→ kubectl top pod (pod resource usage)
→ kubectl top node (node resource usage)

#10 𝐤𝐮𝐛𝐞𝐜𝐭𝐥 𝐞𝐱𝐩𝐥𝐚𝐢𝐧
→ kubectl explain pod
→ kubectl explain pod.spec (more specific)

✅ Managing Workloads

#11 𝐤𝐮𝐛𝐞𝐜𝐭𝐥 𝐫𝐨𝐥𝐥𝐨𝐮𝐭
→ kubectl rollout status deployment/my-deployment
→ kubectl rollout undo deployment/my-deployment

#12 𝐤𝐮𝐛𝐞𝐜𝐭𝐥 𝐬𝐜𝐚𝐥𝐞
→ kubectl scale deployment/my-deployment --replicas=5

#13 𝐤𝐮𝐛𝐞𝐜𝐭𝐥 𝐞𝐝𝐢𝐭
→ kubectl edit deployment my-deployment


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

Just Docker things 😂😂😂


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

🖥 https://prodevopsguy.xyz/streamlining-cicd-workflow-with-github-jenkins-sonarqube-docker-argocd-and-gitops

🌟 𝗙𝗼𝗿 𝗺𝗼𝗿𝗲 𝗗𝗲𝘃𝗢𝗽𝘀/𝗖𝗹𝗼𝘂𝗱 𝗕𝗹𝗼𝗴𝘀 & 𝗮𝗿𝘁𝗶𝗰𝗹𝗲𝘀: LINK


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

📍 Overview of the DevOps Interview Process: From Application to Selection - Kubernetes 📍

Preparing for a Kubernetes interview, especially at a senior level, requires a deep understanding of its architecture, features, and operational challenges. You'll need to be well-versed in designing, deploying, managing, and optimizing Kubernetes clusters.

1️⃣ Architecture and Components: Know the components of a Kubernetes cluster, including nodes, pods, services, and the control plane.
2️⃣ Networking: Understand pod networking, service discovery, and network policies.
3️⃣ Pods and Controllers: Familiarize yourself with pod lifecycle management and various controllers like ReplicaSets, Deployments, and StatefulSets.
4️⃣ Services and Load Balancing: Know the differences between ClusterIP, NodePort, LoadBalancer, and ExternalName services.
5️⃣ Storage: Manage storage with Persistent Volumes and Claims, and understand stateful applications.
6️⃣ Configuration and Secrets: Use ConfigMaps and Secrets to manage configuration and sensitive data.
7️⃣ Security: Be familiar with RBAC, service accounts, and network policies.
8️⃣ Monitoring and Logging: Implement monitoring and logging using tools like Prometheus and Grafana.
9️⃣ Maintenance and Troubleshooting: Perform upgrades and rollbacks, and troubleshoot common issues.
1️⃣😀 Advanced Scheduling: Understand custom schedulers and affinity/anti-affinity rules.
1️⃣1️⃣ Best Practices: Discuss common patterns, performance optimization, and CI/CD integration.
1️⃣2️⃣ Cloud-Native Technologies: Know the role of service meshes and integration with cloud providers like GKE, EKS, and AKS.


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

📢 DevOps Real World Projects for Aspiring DevOps Engineers [Beginner to Advanced]


📱 REPO LINK: https://github.com/NotHarshhaa/DevOps-Projects

⭐️ Repository Contents for DevOps Projects from Beginner to Advanced Levels
The repository contains hands-on DevOps projects suitable for individuals at various skill levels, ranging from beginner to advanced.

⭐️ Integration of DevOps Technology with Other Technologies
Projects in this repository showcase the integration of DevOps practices with other cutting-edge technologies such as Machine Learning, Git, GitHub, etc.

⭐️ Project Scope
The projects included cover a wide array of topics within the DevOps domain, providing practical experience and insights into real-world scenarios.

⭐️ Why Explore This Repository?
Whether you're new to DevOps or looking to enhance your skills, this repository offers valuable resources and projects to help you learn and grow in the field.

🟩🟩🟩🟩🟩🟩🟩🟩🟩🟩🟩🟩🟩

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

🚨 Deploy Node js App with Mongo DB and Mongo Express Using AKS

➡️Guide Link: https://gist.github.com/NotHarshhaa/aa9d698d7472142f568e54d5a7bdcf3f


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

🔴 On Kubernetes platforms, traffic may come from an internal source (between workloads within the cluster), or an 𝗲𝘅𝘁𝗲𝗿𝗻𝗮𝗹 𝘀𝗼𝘂𝗿𝗰𝗲 (from an outside client to a workload in the cluster). List all objects 𝗶𝗻𝘃𝗼𝗹𝘃𝗲𝗱 𝗶𝗻 𝗮𝗽𝗽𝗹𝗶𝗰𝗮𝘁𝗶𝗼𝗻 𝘁𝗿𝗮𝗳𝗳𝗶𝗰 𝗿𝗼𝘂𝘁𝗶𝗻𝗴:

✅ External Load Balancer - Distribute external traffic
✅ Ingress Controller - Responsible for implementing these rules
✅ Ingress - Incoming traffic to the pod
✅ Service - Exposing a network application
✅ Pod - Collection of one or more containers

🔴 HTTP is a protocol that enables data transmission via the world wide web, HTTPS is essentially a 𝗺𝗼𝗿𝗲 𝘀𝗲𝗰𝘂𝗿𝗲 𝘃𝗲𝗿𝘀𝗶𝗼𝗻.

🔴 SSL & TLS are the same. SSL is the old name. TLS is the 𝐮𝐩𝐝𝐚𝐭𝐞𝐝 𝐯𝐞𝐫𝐬𝐢𝐨𝐧 𝐨𝐟 𝐒𝐒𝐋.

🔴 The basic requirement for ingress TLS is a 𝗧𝗟𝗦/𝗦𝗦𝗟 𝗰𝗲𝗿𝘁𝗶𝗳𝗶𝗰𝗮𝘁𝗲. You can obtain these certificates in the following ways.

☑️ Self-Signed Certificates
☑️ Purchase an SSL Certificate
☑️ Use Letsencrpt Certificate - Non trusted certificate

𝗧𝘆𝗽𝗲𝘀 𝗼𝗳 𝗜𝗻𝗴𝗿𝗲𝘀𝘀
☑️ Single service Ingress ➡️ All traffic is routed to a single default backend.
☑️ Simple fanout Ingress ➡️ Sends traffic from a single IP address to multiple Services depending on the requested HTTP.
☑️ Name-based virtual hosting ➡️ Support steering HTTP traffic to various hostnames at a similar IP address.

🔴 A Kubernetes Secret is an object that contains a 𝘀𝗺𝗮𝗹𝗹 𝗮𝗺𝗼𝘂𝗻𝘁 𝗼𝗳 𝘀𝗲𝗻𝘀𝗶𝘁𝗶𝘃𝗲 𝗱𝗮𝘁𝗮 such as a password, a token, or a key.

Creating From Yaml File

𝗮𝗽𝗶𝗩𝗲𝗿𝘀𝗶𝗼𝗻: 𝘃𝟭
𝗸𝗶𝗻𝗱: 𝗦𝗲𝗰𝗿𝗲𝘁
𝗺𝗲𝘁𝗮𝗱𝗮𝘁𝗮:
𝗻𝗮𝗺𝗲: 𝘀𝗲𝗰𝗿𝗲𝘁-𝗱𝗼𝗰𝗸𝗲𝗿𝗰𝗳𝗴
𝘁𝘆𝗽𝗲: 𝗸𝘂𝗯𝗲𝗿𝗻𝗲𝘁𝗲𝘀.𝗶𝗼/𝗱𝗼𝗰𝗸𝗲𝗿𝗰𝗳𝗴
𝗱𝗮𝘁𝗮:
𝗽𝗮𝘀𝘀𝘄𝗼𝗿𝗱: <𝗨𝘀𝗲𝗿 𝗣𝗮𝘀𝘀𝘄𝗼𝗿𝗱>
𝘂𝘀𝗲𝗿𝗻𝗮𝗺𝗲: <𝗨𝘀𝗲𝗿 𝗡𝗮𝗺𝗲>

Creating the Secret
𝗸𝘂𝗯𝗲𝗰𝘁𝗹 𝗰𝗿𝗲𝗮𝘁𝗲 –𝗳 𝗦𝗲𝗰𝗿𝗲𝘁.𝘆𝗮𝗺𝗹

🔴 When you create a secret, it needs to be referenced by the pod that will use it. To make a secret available for a pod.
✔️ Mount the secret as a file in a volume available to any number of containers in a pod.
✔️ Import the secret as an environment variable to a container.

𝗧𝘆𝗽𝗲𝘀 𝗼𝗳 𝗦𝗲𝗰𝗿𝗲𝘁

Opaque ➡️ arbitrary user-defined data
https://lnkd.in/gXcUF7cD ➡️ ServiceAccount token
kubernetes.io/dockercfg ➡️ serialized ~/.dockercfg file
https://lnkd.in/gmF_-H56 ➡️ serialized ~/.docker/config.json file
kubernetes.io/tls ➡️ data for a TLS client or server


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

🖥 https://prodevopsguy.xyz/real-time-devops-project-deploy-to-kubernetes-using-jenkins-end-to-end-devops-project-cicd

🌟 𝗙𝗼𝗿 𝗺𝗼𝗿𝗲 𝗗𝗲𝘃𝗢𝗽𝘀/𝗖𝗹𝗼𝘂𝗱 𝗕𝗹𝗼𝗴𝘀 & 𝗮𝗿𝘁𝗶𝗰𝗹𝗲𝘀: LINK


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