🚀 DevOps Project: Deploy a 3 Tier Architecture On AWS - End to End Project


Project Overview:
⚡️ Tier 1: Presentation Layer
✅ Create a web application using a framework like React, Angular, or Vue.js.
✅ Host the frontend on Amazon S3 or use AWS Amplify for a serverless frontend deployment.

⚡️ Tier 2: Application Layer
✅ Develop a server-side application using a technology like Node.js, Python, or Java.
✅ Deploy the application on AWS Elastic Beanstalk or AWS Lambda for serverless applications.
✅ Use Amazon API Gateway for creating RESTful APIs or AWS App Runner for containerized applications.

⚡️ Tier 3: Data Layer
✅ Choose a database solution like Amazon RDS (Relational Database Service), Amazon DynamoDB (NoSQL), or Amazon Aurora (MySQL/PostgreSQL).
✅ Configure database security groups and access controls.
✅ Ensure data backup and redundancy as per your application's needs.

Check for full details 👇

📱 Link: https://github.com/NotHarshhaa/DevOps-Projects/tree/master/DevOps-Project-01


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

🔔 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

AWS region vibes: 😎

The comparison: 😂


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

AWS ☁️ vs GCP ☁️ vs Azure ☁️ Cloud services Comparison Cheatsheet ⚡️


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

🚀 Explore More into CI/CD ♾ Tools on AWS Cloud ☁️

🖥 https://cloud.prodevopsguy.xyz/explore-more-into-cicd-tools-on-aws-cloud



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

📣 Job Opportunity: DevOps Engineers 📣

Looking for people having 6m to 1 Yr of experience in DevOps tools like Ansible, Docker, GitLab, Terraform and Python Scripting and Linux.

➡️ Job Location: Bengaluru

🔗 Please apply at ipxp.in/doeaf


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

100 Terms & Services which every DevOps ♾ Engineer should be aware of:

1. Continuous Integration (CI): Automates code integration.
2. Continuous Deployment (CD): Automated code deployment.
3. Version Control System (VCS): Manages code versions.
4. Git: Distributed version control.
5. Jenkins: Automation server for CI/CD.
6. Build Automation: Automates code compilation.
7. Artifact: Build output package.
8. Maven: Build and project management.
9. Gradle: Build automation tool.
10. Containerization: Application packaging and isolation.
11. Docker: Containerization platform.
12. Kubernetes: Container orchestration.
13. Orchestration: Automated coordination of components.
14. Microservices: Architectural design approach.
15. Infrastructure as Code (IaC): Manage infrastructure programmatically.
16. Terraform: IaC provisioning tool.
17. Ansible: IaC automation tool.
18. Chef: IaC automation tool.
19. Puppet: IaC automation tool.
20. Configuration Management: Automates infrastructure configurations.
21. Monitoring: Observing system behavior.
22. Alerting: Notifies on issues.
23. Logging: Recording system events.
24. ELK Stack: Log management tools.
25. Prometheus: Monitoring and alerting toolkit.
26. Grafana: Visualization platform.
27. Application Performance Monitoring (APM): Monitors app performance.
28. Load Balancing: Distributes traffic evenly.
29. Reverse Proxy: Forwards client requests.
30. NGINX: Web server and reverse proxy.
31. Apache: Web server and reverse proxy.
32. Serverless Architecture: Code execution without servers.
33. AWS Lambda: Serverless compute service.
34. Azure Functions: Serverless compute service.
35. Google Cloud Functions: Serverless compute service.
36. Infrastructure Orchestration: Automates infrastructure deployment.
37. AWS CloudFormation: IaC for AWS.
38. Azure Resource Manager (ARM): IaC for Azure.
39. Google Cloud Deployment Manager: IaC for GCP.
40. Continuous Testing: Automated testing at all stages.
41. Unit Testing: Tests individual components.
42. Integration Testing: Tests component interactions.
43. System Testing: Tests entire system.
44. Performance Testing: Evaluates system speed.
45. Security Testing: Identifies vulnerabilities.
46. DevSecOps: Integrates security in DevOps.
47. Code Review: Inspection for quality.
48. Static Code Analysis: Examines code without execution.
49. Dynamic Code Analysis: Analyzes running code.
50. Dependency Management: Handles code dependencies.
51. Artifact Repository: Stores and manages artifacts.
52. Nexus: Repository manager.
53. JFrog Artifactory: Repository manager.
54. Continuous Monitoring: Real-time system observation.
55. Incident Response: Manages system incidents.
56. Site Reliability Engineering (SRE): Ensures system reliability.
57. Collaboration Tools: Facilitates team communication.
58. Slack: Team messaging platform.
59. Microsoft Teams: Collaboration platform.
60. ChatOps: Collaborative development through chat.


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

⚠️ 𝐖𝐡𝐲 𝟖𝟎% 𝐨𝐟 𝐂𝐥𝐨𝐮𝐝-𝐃𝐞𝐯𝐎𝐩𝐬 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫𝐬 𝐒𝐭𝐫𝐮𝐠𝐠𝐥𝐞 𝐰𝐢𝐭𝐡 𝐊𝐮𝐛𝐞𝐫𝐧𝐞𝐭𝐞𝐬 𝐀𝐫𝐜𝐡𝐢𝐭𝐞𝐜𝐭𝐮𝐫𝐞
so let's go!!!

➡️𝐤𝐮𝐛𝐞-𝐚𝐩𝐢-𝐬𝐞𝐫𝐯𝐞𝐫: Handles API calls efficiently, scaling as needed. It's the gateway for interacting with Kubernetes, and processing commands and requests.

➡️𝐞𝐭𝐜𝐝: Stores important cluster data securely. Only the API server can directly access etcd, ensuring data integrity and consistency.

➡️𝐤𝐮𝐛𝐞-𝐬𝐜𝐡𝐞𝐝𝐮𝐥𝐞𝐫: Finds the best nodes for tasks based on resource availability and requirements. It's like a matchmaker, pairing workloads with suitable nodes.

➡️𝐜𝐨𝐧𝐭𝐫𝐨𝐥𝐥𝐞𝐫-𝐦𝐚𝐧𝐚𝐠𝐞𝐫: Keeps things running smoothly by monitoring for changes and taking necessary actions. It handles tasks like cleaning up unused resources and managing namespaces.

➡️𝐂𝐥𝐨𝐮𝐝 𝐂𝐨𝐧𝐭𝐫𝐨𝐥𝐥𝐞𝐫 𝐌𝐚𝐧𝐚𝐠𝐞𝐫: Connects your cluster to the cloud provider's features. It handles nodes, routes, and services, letting cloud features integrate smoothly with Kubernetes.

➡️𝐤𝐮𝐛𝐞𝐥𝐞𝐭: Ensures containers are healthy and manages node resources. It's like a caretaker, making sure containers are running well on their assigned nodes.

➡️𝐤𝐮𝐛𝐞-𝐩𝐫𝐨𝐱𝐲: Manages network configuration on nodes, facilitating communication between services and pods. It's like a traffic cop, directing network traffic within the cluster.

➡️𝐂𝐨𝐧𝐭𝐚𝐢𝐧𝐞𝐫 𝐑𝐮𝐧𝐭𝐢𝐦𝐞: Manages containers and images, enabling them to work seamlessly on Kubernetes. It's the bridge between Kubernetes and container runtimes like Docker.

➡️𝐏𝐨𝐝𝐬: Bundles of processes that run until they finish their tasks. They're like temporary work crews, executing specific jobs within the cluster.


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

Let's talk about Kubernetes Gateway API.

It is a new way to manage traffic to Kubernetes services. 🤠

🔣How is it different from Ingress?
Ingress focuses on routing HTTP traffic.
While Gateway API supports a wider range of protocols, including HTTP, TCP, and gRPC.

🔣It also supports:

➡️HTTP Routing & TCP Routing
➡️HTTP Traffic Splitting (10% to service-1 and 90% to service-2)
➡️Cross-Namespace Routing
➡️Role-Based Access Control
➡️Enhanced Secuirty Controls


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

🌐 Here are 30 GitHub commands that are every DevOps Engineer to know.

1. 𝗴𝗶𝘁 𝗶𝗻𝗶𝘁: Initializes a new Git repository in the current directory.
2. 𝗴𝗶𝘁 𝗰𝗹𝗼𝗻𝗲 [𝘂𝗿𝗹]: Clones a repository into a new directory.
3. 𝗴𝗶𝘁 𝗮𝗱𝗱 [𝗳𝗶𝗹𝗲]: Adds a file or changes in a file to the staging area.
4. 𝗴𝗶𝘁 𝗰𝗼𝗺𝗺𝗶𝘁 -𝗺 "[𝗺𝗲𝘀𝘀𝗮𝗴𝗲]": Records changes to the repository with a descriptive message.
5. 𝗴𝗶𝘁 𝗽𝘂𝘀𝗵: Uploads local repository content to a remote repository.
6. 𝗴𝗶𝘁 𝗽𝘂𝗹𝗹: Fetches changes from the remote repository and merges them into the local branch.
7. 𝗴𝗶𝘁 𝘀𝘁𝗮𝘁𝘂𝘀: Displays the status of the working directory and staging area.
8. 𝗴𝗶𝘁 𝗯𝗿𝗮𝗻𝗰𝗵: Lists all local branches in the current repository.
9. 𝗴𝗶𝘁 𝗰𝗵𝗲𝗰𝗸𝗼𝘂𝘁 [𝗯𝗿𝗮𝗻𝗰𝗵]: Switches to the specified branch.
10. 𝗴𝗶𝘁 𝗺𝗲𝗿𝗴𝗲 [𝗯𝗿𝗮𝗻𝗰𝗵]: Merges the specified branch's history into the current branch.
11. 𝗴𝗶𝘁 𝗿𝗲𝗺𝗼𝘁𝗲 -𝘃: Lists the remote repositories along with their URLs.
12. 𝗴𝗶𝘁 𝗹𝗼𝗴: Displays commit logs.
13. 𝗴𝗶𝘁 𝗿𝗲𝘀𝗲𝘁 [𝗳𝗶𝗹𝗲]: Unstages the file, but preserves its contents.
14. 𝗴𝗶𝘁 𝗿𝗺 [𝗳𝗶𝗹𝗲]: Deletes the file from the working directory and stages the deletion.
15. 𝗴𝗶𝘁 𝘀𝘁𝗮𝘀𝗵: Temporarily shelves (or stashes) changes that haven't been committed.
16. 𝗴𝗶𝘁 𝘁𝗮𝗴 [𝘁𝗮𝗴𝗻𝗮𝗺𝗲]: Creates a lightweight tag pointing to the current commit.
17. 𝗴𝗶𝘁 𝗳𝗲𝘁𝗰𝗵 [𝗿𝗲𝗺𝗼𝘁𝗲]: Downloads objects and refs from another repository.
18. 𝗴𝗶𝘁 𝗺𝗲𝗿𝗴𝗲 --𝗮𝗯𝗼𝗿𝘁: Aborts the current conflict resolution process, and tries to reconstruct the pre-merge state.
19. 𝗴𝗶𝘁 𝗿𝗲𝗯𝗮𝘀𝗲 [𝗯𝗿𝗮𝗻𝗰𝗵]: Reapplies commits on top of another base tip, often used to integrate changes from one branch onto another cleanly.
20. 𝗴𝗶𝘁 𝗰𝗼𝗻𝗳𝗶𝗴 --𝗴𝗹𝗼𝗯𝗮𝗹 𝘂𝘀𝗲𝗿.𝗻𝗮𝗺𝗲 "[𝗻𝗮𝗺𝗲]" 𝗮𝗻𝗱 𝗴𝗶𝘁 𝗰𝗼𝗻𝗳𝗶𝗴 --𝗴𝗹𝗼𝗯𝗮𝗹 𝘂𝘀𝗲𝗿.𝗲𝗺𝗮𝗶𝗹 "[𝗲𝗺𝗮𝗶𝗹]": Sets the name and email to be used with your commits.
21. 𝗴𝗶𝘁 𝗱𝗶𝗳𝗳: Shows changes between commits, commit and working tree, etc.
22. 𝗴𝗶𝘁 𝗿𝗲𝗺𝗼𝘁𝗲 𝗮𝗱𝗱 [𝗻𝗮𝗺𝗲] [𝘂𝗿𝗹]: Adds a new remote repository.
23. 𝗴𝗶𝘁 𝗿𝗲𝗺𝗼𝘁𝗲 𝗿𝗲𝗺𝗼𝘃𝗲 [𝗻𝗮𝗺𝗲]: Removes a remote repository.
24. 𝗴𝗶𝘁 𝗰𝗵𝗲𝗰𝗸𝗼𝘂𝘁 -𝗯 [𝗯𝗿𝗮𝗻𝗰𝗵]: Creates a new branch and switches to it.
25. 𝗴𝗶𝘁 𝗯𝗿𝗮𝗻𝗰𝗵 -𝗱 [𝗯𝗿𝗮𝗻𝗰𝗵]: Deletes the specified branch.
26. 𝗴𝗶𝘁 𝗽𝘂𝘀𝗵 --𝘁𝗮𝗴𝘀: Pushes all tags to the remote repository.
27. 𝗴𝗶𝘁 𝗰𝗵𝗲𝗿𝗿𝘆-𝗽𝗶𝗰𝗸 [𝗰𝗼𝗺𝗺𝗶𝘁]: Picks a commit from another branch and applies it to the current branch.
28. 𝗴𝗶𝘁 𝗳𝗲𝘁𝗰𝗵 --𝗽𝗿𝘂𝗻𝗲: Prunes remote tracking branches no longer on the remote.
29. 𝗴𝗶𝘁 𝗰𝗹𝗲𝗮𝗻 -𝗱𝗳: Removes untracked files and directories from the working directory.
30. 𝗴𝗶𝘁 𝘀𝘂𝗯𝗺𝗼𝗱𝘂𝗹𝗲 𝘂𝗽𝗱𝗮𝘁𝗲 --𝗶𝗻𝗶𝘁 --𝗿𝗲𝗰𝘂𝗿𝘀𝗶𝘃𝗲: Initializes and updates submodules recursively.


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

🔧 Kubernetes Commands for DevOps Engineers 🚀


Here’s a handy list of essential Kubernetes commands to streamline your workflow and boost your productivity. Save this post for quick reference! 📌


🔹 Cluster Management:

# Check cluster info
kubectl cluster-info

# Get all nodes
kubectl get nodes

# Describe a node
kubectl describe node <node-name>

# Check cluster health
kubectl get componentstatuses

🔹 Namespaces:

# List all namespaces
kubectl get namespaces

# Create a namespace
kubectl create namespace <namespace-name>

# Delete a namespace
kubectl delete namespace <namespace-name>

🔹 Pods:

# List all pods in the default namespace
kubectl get pods

# List pods in a specific namespace
kubectl get pods -n <namespace>

# Describe a pod
kubectl describe pod <pod-name>

# Delete a pod
kubectl delete pod <pod-name>

🔹 Deployments:

# List all deployments
kubectl get deployments

# Create a deployment
kubectl create deployment <deployment-name> --image=<image-name>

# Update a deployment
kubectl set image deployment/<deployment-name> <container-name>=<new-image>

# Scale a deployment
kubectl scale deployment <deployment-name> --replicas=<number>

# Delete a deployment
kubectl delete deployment <deployment-name>

🔹 Services:

# List all services
kubectl get services

# Create a service
kubectl expose deployment <deployment-name> --type=<type> --port=<port>

# Describe a service
kubectl describe service <service-name>

# Delete a service
kubectl delete service <service-name>

🔹 ConfigMaps & Secrets:

# List all ConfigMaps
kubectl get configmaps

# Create a ConfigMap
kubectl create configmap <configmap-name> --from-literal=<key>=<value>

# List all Secrets
kubectl get secrets

# Create a Secret
kubectl create secret generic <secret-name> --from-literal=<key>=<value>

🔹 Persistent Volumes & Claims:

# List all persistent volumes
kubectl get pv

# List all persistent volume claims
kubectl get pvc

# Create a persistent volume
kubectl apply -f <persistent-volume-definition>.yaml

# Create a persistent volume claim
kubectl apply -f <persistent-volume-claim-definition>.yaml

🔹 Logs & Monitoring:

# View logs of a pod
kubectl logs <pod-name>

# View logs of a specific container in a pod
kubectl logs <pod-name> -c <container-name>

# Stream logs of a pod
kubectl logs -f <pod-name>

🔹 Troubleshooting:

# Get events
kubectl get events

# Describe a resource
kubectl describe <resource-type> <resource-name>

# Exec into a pod
kubectl exec -it <pod-name> -- /bin/bash

🔹 Custom Resources:

# List custom resource definitions
kubectl get crd

# Describe a custom resource
kubectl describe crd <custom-resource-name>

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

🛡 Kubernetes Networking ~ 🚧

Kubernetes networking is a critical aspect of managing containerized applications in a distributed environment. It ensures that containers within a Kubernetes cluster can communicate with each other, with external users, and with other services smoothly.

Let's explore the key concepts and components of Kubernetes networking:

🔴 Pod Networking:
- Pods share the same network namespace and can communicate via localhost.
- Kubernetes assigns each Pod a unique IP address for inter-node communication.
🔴 Service Networking:
- Services provide stable endpoints for accessing Pods.
- ClusterIP, NodePort, and LoadBalancer are common Service types for internal and external access.
🔴 Ingress Networking:
- Ingress manages external access to Services based on HTTP/HTTPS rules.
- Ingress controllers handle traffic routing to Services within the cluster.
🔴 Network Policies:
- This defines rules for Pod-to-Pod communication and access to external resources.
- It enables fine-grained control over network traffic within the cluster.
🔴 Container Network Interface (CNI):
- A standard for defining plugins that handle networking in container runtimes.
- Used by Kubernetes to manage network interfaces and IP addresses.
🔴 Networking Plugins:
- Kube-Proxy manages network rules for routing traffic to Services.
- CoreDNS resolves DNS queries for Kubernetes Services and Pods.

Understanding Kubernetes networking is essential for deploying and managing containerized applications effectively within a Kubernetes cluster

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

𝗧𝗼𝗽 𝟱𝟬 🐧 𝗟𝗶𝗻𝘂𝘅 𝗖𝗼𝗺𝗺𝗮𝗻𝗱𝘀 𝘆𝗼𝘂 𝗺𝘂𝘀𝘁 𝗸𝗻𝗼𝘄 🚀

Some of the collection of Linux commands to be aware as a person in tech.


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

🐳 Docker Commands for DevOps Engineers 🚀


Here’s a comprehensive list of essential Docker commands to make your container management smooth and efficient. Save this post for quick reference! 📌

🔹 Docker Basics:

# Check Docker version
docker --version

# Display Docker system information
docker info

# List all Docker commands
docker --help

🔹 Images:

# List all images
docker images

# Search for an image on Docker Hub
docker search <image-name>

# Pull an image from Docker Hub
docker pull <image-name>

# Build an image from a Dockerfile
docker build -t <image-name>:<tag> .

# Remove an image
docker rmi <image-id>

🔹 Containers:

# List all running containers
docker ps

# List all containers (including stopped ones)
docker ps -a

# Start a container
docker start <container-id>

# Stop a container
docker stop <container-id>

# Restart a container
docker restart <container-id>

# Remove a container
docker rm <container-id>

# Run a container
docker run -d --name <container-name> <image-name>

# Run a container with a specific port mapping
docker run -d -p <host-port>:<container-port> <image-name>

# Run a container with a volume
docker run -d -v <host-dir>:<container-dir> <image-name>

# Attach to a running container
docker attach <container-id>

🔹 Container Inspection & Logs:

# View logs of a container
docker logs <container-id>

# Follow logs of a container
docker logs -f <container-id>

# Inspect a container
docker inspect <container-id>

# View resource usage statistics of a container
docker stats <container-id>

🔹 Networks:

# List all networks
docker network ls

# Create a network
docker network create <network-name>

# Connect a container to a network
docker network connect <network-name> <container-id>

# Disconnect a container from a network
docker network disconnect <network-name> <container-id>

# Inspect a network
docker network inspect <network-name>

# Remove a network
docker network rm <network-name>

🔹 Volumes:

# List all volumes
docker volume ls

# Create a volume
docker volume create <volume-name>

# Inspect a volume
docker volume inspect <volume-name>

# Remove a volume
docker volume rm <volume-name>

🔹 Docker Compose:

# Start services defined in docker-compose.yml
docker-compose up

# Start services in detached mode
docker-compose up -d

# Stop services
docker-compose down

# View running services
docker-compose ps

# Build or rebuild services
docker-compose build

# View logs of services
docker-compose logs

🔹 Docker Cleanup:

# Remove all stopped containers
docker container prune

# Remove all unused images
docker image prune

# Remove all unused volumes
docker volume prune

# Remove all unused networks
docker network prune

Keep this list handy and make container management a breeze! Happy Dockering! 🎉


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

🔔 𝐖𝐡𝐲 𝐢𝐬 𝐊𝐮𝐛𝐞𝐫𝐧𝐞𝐭𝐞𝐬 𝐓𝐫𝐨𝐮𝐛𝐥𝐞𝐬𝐡𝐨𝐨𝐭𝐢𝐧𝐠 𝐬𝐨 𝐃𝐢𝐟𝐟𝐢𝐜𝐮𝐥𝐭?

➡️ Let's look at the top 8 of the challenges..

✅ 𝐃𝐢𝐬𝐭𝐫𝐢𝐛𝐮𝐭𝐞𝐝 𝐞𝐧𝐯𝐢𝐫𝐨𝐧𝐦𝐞𝐧𝐭: Hard to pinpoint the root cause of issues spread across nodes and containers.

✅ 𝐀𝐛𝐬𝐭𝐫𝐚𝐜𝐭𝐢𝐨𝐧 𝐥𝐚𝐲𝐞𝐫𝐬: Difficulty diagnosing infrastructure issues due to hidden complexities.

✅ 𝐃𝐲𝐧𝐚𝐦𝐢𝐜 𝐞𝐧𝐯𝐢𝐫𝐨𝐧𝐦𝐞𝐧𝐭: Unpredictable behavior due to constant scaling and relocation of components.

✅ 𝐂𝐨𝐦𝐩𝐥𝐞𝐱 𝐧𝐞𝐭𝐰𝐨𝐫𝐤𝐢𝐧𝐠: Troubleshooting network connectivity, DNS, and firewall rules is challenging.

✅ 𝐂𝐨𝐧𝐭𝐚𝐢𝐧𝐞𝐫𝐢𝐳𝐚𝐭𝐢𝐨𝐧 𝐜𝐡𝐚𝐥𝐥𝐞𝐧𝐠𝐞𝐬: Debugging within containers and diagnosing container-specific problems is complex.

✅ 𝐋𝐚𝐜𝐤 𝐨𝐟 𝐯𝐢𝐬𝐢𝐛𝐢𝐥𝐢𝐭𝐲: Achieving comprehensive monitoring of applications, infrastructure, and networking is difficult.

✅ 𝐒𝐭𝐞𝐞𝐩 𝐥𝐞𝐚𝐫𝐧𝐢𝐧𝐠 𝐜𝐮𝐫𝐯𝐞: Requires deep understanding of Kubernetes concepts and tools to troubleshoot effectively.

✅ 𝐓𝐨𝐨𝐥𝐢𝐧𝐠 𝐜𝐨𝐦𝐩𝐥𝐞𝐱𝐢𝐭𝐲: Choosing, configuring, and integrating the right monitoring and debugging tools is challenging.


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

🖥 https://prodevopsguy.site/DevOps_GitHub_Useful_Repositories


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