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

𝗛𝗲𝗿𝗲'𝘀 𝗮 𝗟𝗶𝘀𝘁 𝗼𝗳 20 𝗺𝗼𝘀𝘁 𝗰𝗼𝗺𝗺𝗼𝗻𝗹𝘆 𝘂𝘀𝗲𝗱 𝐃𝐨𝐜𝐤𝐞𝐫 🐬 𝗖𝗼𝗺𝗺𝗮𝗻𝗱𝘀!!


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

📢 DevOps Project-21: Advanced AWS DevOps ♾ CICD Pipeline Project


🔗 Project Link: HERE

🔄 Project Overview :-

In This Project, we are Developing and Deploying a video streaming application on EC2 using Docker and AWS Developers Tools.

➡️CodeCommit: For Source Code Management
➡️CodeBuild: For building and testing our code in a serverless fashion
➡️CodeDeploy: To deploy our code
➡️CodePipeline: To streamline the CI/CD pipeline
➡️System Manager: To store Parameters
➡️DockerHub: To store Docker Images in a Repository
➡️Identity and Access Management (IAM) for creating a Service Role
➡️S3 for artifact storing
➡️EC2 for Deployment

❤️‍🔥 Share with friends and colleagues ❤️‍🔥

📣 Note: Fork this Repository 🧑‍💻 for upcoming future projects, Every week releases new Project.

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

🚀 𝑬𝒏𝒉𝒂𝒏𝒄𝒊𝒏𝒈 𝒀𝒐𝒖𝒓 𝑨𝒑𝒑𝒍𝒊𝒄𝒂𝒕𝒊𝒐𝒏'𝒔 𝑷𝒆𝒓𝒇𝒐𝒓𝒎𝒂𝒏𝒄𝒆: 𝑨𝑳𝑩 𝒗𝒔. 𝑵𝑳𝑩 🌐

Choosing the right load balancer can make a world of difference for your application's performance and reliability! Here are 6 key points to consider:

1️⃣ 𝐎𝐒𝐈 𝐋𝐚𝐲𝐞𝐫:
ALB: Layer 7 (Application Layer) 🌐
NLB: Layer 4 (Network Layer) 🔗

2️⃣ 𝐓𝐚𝐫𝐠𝐞𝐭 𝐓𝐲𝐩𝐞𝐬:
ALB: Works with IP, instance, and Lambda target types 📍
NLB: Works with IP, instance, and ALB target types 📍

3️⃣ 𝐓𝐫𝐚𝐟𝐟𝐢𝐜 𝐇𝐚𝐧𝐝𝐥𝐢𝐧𝐠:
ALB: Ideal for HTTP/HTTPS traffic with advanced routing capabilities ✨
NLB: Perfect for TCP/UDP traffic with ultra-low latency ⚡️

4️⃣ 𝐑𝐨𝐮𝐭𝐢𝐧𝐠 𝐃𝐞𝐜𝐢𝐬𝐢𝐨𝐧𝐬:
ALB: Content-based routing (URL, host headers, etc.) 🔍
NLB: IP protocol data-based routing 🌐

5️⃣ 𝐏𝐫𝐨𝐭𝐨𝐜𝐨𝐥𝐬:
ALB: Supports HTTP, HTTPS, and gRPC protocols 🌐
NLB: Supports TCP, UDP, and TLS protocols 🔒

6️⃣ 𝐔𝐬𝐞 𝐂𝐚𝐬𝐞𝐬:
ALB: Web applications, microservices architectures 🖥
NLB: Real-time applications, IoT, gaming where low latency is critical 🎮


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

🚀 MoreYeahs IT Technologies Pvt. Ltd: DevOps Engineer | 2-3 Years Experience 🚀


➡️Requirements:
2 to 3 years of experience as a DevOps Engineer or in a similar role.
Strong experience with cloud services (AWS, GCP, Azure), containerization (Docker, Kubernetes), and automation tools (Ansible, Terraform).
Proficient in scripting languages such as Python, Bash.
Experience with CI/CD tools such as Jenkins, Circle CI, GitLab.
Strong problem-solving skills and the ability to work under pressure to solve complex issues.

📩 Apply Now: Please send your resume to Nitika.Sadele@MoreYeahs.in with the subject line "DevOps Engineer."


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

For Cloud-DevOps-SRE Engineers!!

✅ 𝗥𝗲𝗲𝗹 𝗮𝗱𝘃𝗶𝗰𝗲: Learn Linux, Shell Scripting, Python, Docker, Kubernetes, AWS, GCP, Azure, Jenkins, Argo, Spinnaker, Ansible, Chef, Prometheus, Grafana + 30 tools.

✅ 𝗥𝗲𝗮𝗹 𝗮𝗱𝘃𝗶𝗰𝗲: Be good with your English, please. Know how to write a professional email, a retrospective doc, a CR doc, and be ready with good coverage of questions in the client meeting. Then learn just one tool in each category of DevOps practices.

👉 Application Delivery: Argo
👉 Secret Management: Vault
👉 Infrastructure provisioning: Terraform
👉 Building Containers: Docker
👉 Orchestrating Containers: Kubernetes
+ Few services of cloud

✅ 𝗘𝘃𝗲𝗿𝘆𝗼𝗻𝗲 𝘄𝗮𝗻𝘁𝘀 𝗮 𝗷𝗼𝗯 𝗯𝘂𝘁 𝗮𝗿𝗲 𝘆𝗼𝘂 𝗼𝗻 𝘁𝗵𝗲 𝗿𝗶𝗴𝗵𝘁 𝗽𝗮𝘁𝗵?


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

Top 10 Docker 🐬 Secrets for DevOps Beginners in 2024

➡️This article is specifically aimed at DevOps beginners who are eager to unlock the potential of Docker. We'll look into 10 secrets that will empower you to build, deploy, and manage containerized applications with confidence.

𝑓𝑜𝑟 𝑚𝑜𝑟𝑒 𝑖𝑛𝑓𝑜, 𝑦𝑜𝑢 𝑐𝑎𝑛 𝑐ℎ𝑒𝑐𝑘 𝑡ℎ𝑖𝑠 𝑙𝑖𝑛𝑘:
🖥 https://prodevopsguy.site/top-10-docker-secrets-for-devops-beginners-in-2024


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

Kubernetes Design Patterns are reusable solutions to common problems encountered when deploying applications on Kubernetes. They help in structuring and organizing applications for scalability, resilience, and maintainability. Some key Kubernetes design patterns include:

🛡 Sidecar Pattern: Involves deploying an additional container alongside the main application container to extend its functionality without altering the main container.
🛡 Ambassador Pattern: Conceals complexity by providing a unified interface to the outside world for a container, simplifying communication with external services.
🛡 Adapter Pattern: Allows a pod to present a consistent interface to the external world by transforming requests and responses as necessary.
🛡 Initialize Pattern: Separates initialization-specific tasks from the main application logic, ensuring that containers are initialized properly before serving requests.
🛡 Work-Queue Pattern: Enables the processing of arbitrary code within containers and facilitates the implementation of work-queue systems using Kubernetes primitives.
🛡 Custom-Controller Pattern: Implements custom logic to observe changes in Kubernetes objects and ensures that the cluster reaches the desired state based on these modifications.
🛡 Self-Awareness Patterns: Enable applications to gather metadata and understand their runtime environment, facilitating dynamic configuration and adaptation.

By leveraging these design patterns, developers can design more robust and scalable applications that effectively utilize the capabilities of the K8s platform.


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

📣 Hiring for FRESHERS

➡️Position: Aws/ Azure Cloud / DevOps Engineer
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➡️Eligibility: Any Grad Fresher or Exp both can apply.
➡️Shifts: Day shift / Night shift
➡️Working Days: 5 Days
➡️Package: Up to 3.5 LPA
➡️Perks & Benefits :-

- Cab Facility available
- 5 Days working
- Night Shifts & WFO

✉️ Interested Candidates can share their profiles to anjali21.sscs@gmail.com


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

🚨 kubectl Command: Behind the scenes!

When you perform kubectl apply, Kubernetes executes a series of steps to manage the desired state of the resources defined in the provided configuration files. Here’s on what happens:

1️⃣. User issues the kubectl apply -f request.

2️⃣. The kubectl tool sends an API request to the Kubernetes API server to create or update the resource.

3️⃣. The server validates the user’s request. If all looks good, the server will write the new or modified resource into etcd.

4️⃣. The kube-controller-manager is a daemon that continually watches the kube-apiserver.

5️⃣. It will be notified of the new deployment and proceeds to create new pods to achieve the desired state through another call to the kube-apiserver.

6️⃣. Then we have kube-scheduler which is responsible for scheduling Kubernetes pods on worker nodes.

7️⃣. The kube-scheduler is then notified about the new pods that have been created and proceeds to determine which nodes are valid placements for the same. The scheduler’s primary task is to identify the create request and choose the best node for a pod that satisfies the requirements.

8️⃣. Finally, Kubelet is an agent component that runs on every node in the cluster that gets notified if a pod has been assigned to it. The assigned node then coordinates with the container runtime on the node to start the appropriate containers.


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

Basic DevOps CI-CD ♾ Workflow in every DevOps Project

🖥 https://prodevopsguy.xyz/basic-devops-ci-cd-workflow

🌟 𝗙𝗼𝗿 𝗺𝗼𝗿𝗲 𝗗𝗲𝘃𝗢𝗽𝘀/𝗖𝗹𝗼𝘂𝗱 𝗕𝗹𝗼𝗴𝘀 & 𝗮𝗿𝘁𝗶𝗰𝗹𝗲𝘀: LINK


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