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- All Git/GitHub Content with use cases
- Git Realtime scenarios
- All Git/GitHub Exercises with solutions
- No More Git PDFs needed
- Easy to Learn from anywhere
- Detailed Explanation guide
- All Git/GitHub Branching Strategies for DevOps guy
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Docker 🐬 & Containers All End-to-End Content 2024 ❤️
⚡️ This Includes:
- All Docker-Containers Content
- Docker Realtime scenarios
- All Docker Exercises with solutions
- No More Docker PDFs needed
- Easy to Learn from anywhere
- Detailed Explanation guide
- All Docker file examples for DevOps Engineer
📱 Link : https://github.com/NotHarshhaa/into-the-devops/tree/master/topics/containers
📱 𝐅𝐨𝐥𝐥𝐨𝐰 @prodevopsguy 𝐟𝐨𝐫 𝐦𝐨𝐫𝐞 𝐬𝐮𝐜𝐡 𝐜𝐨𝐧𝐭𝐞𝐧𝐭 𝐚𝐫𝐨𝐮𝐧𝐝 𝐜𝐥𝐨𝐮𝐝 & 𝐃𝐞𝐯𝐎𝐩𝐬!!! // 𝐉𝐨𝐢𝐧 𝐟𝐨𝐫 𝐃𝐞𝐯𝐎𝐩𝐬 𝐃𝐎𝐂𝐬: @devopsdocs
- All Docker-Containers Content
- Docker Realtime scenarios
- All Docker Exercises with solutions
- No More Docker PDFs needed
- Easy to Learn from anywhere
- Detailed Explanation guide
- All Docker file examples for DevOps Engineer
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- 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
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1.
terraform init: Initializes a working directory containing Terraform configuration files.2.
terraform plan: Generates an execution plan, outlining actions Terraform will take.3.
terraform apply: Applies the changes described in the Terraform configuration.4.
terraform destroy: Destroys all resources described in the Terraform configuration.5.
terraform validate: Checks the syntax and validity of Terraform configuration files.6.
terraform refresh: Updates the state file against real resources in the provider.7.
terraform output: Displays the output values from the Terraform state.8.
terraform state list: Lists resources within the Terraform state.9.
terraform show: Displays a human-readable output of the current state or a specific resource's state.10.
terraform import: Imports existing infrastructure into Terraform state.11.
terraform fmt: Rewrites Terraform configuration files to a canonical format.12.
terraform graph: Generates a visual representation of the Terraform dependency graph.13.
terraform providers: Prints a tree of the providers used in the configuration.14.
terraform workspace list: Lists available workspaces.15.
terraform workspace select: Switches to another existing workspace.16.
terraform workspace new: Creates a new workspace.17.
terraform workspace delete: Deletes an existing workspace.18.
terraform output: Retrieves output values from a module.19.
terraform state mv: Moves an item in the state.20.
terraform state pull: Pulls the state from a remote backend.21.
terraform state push: Pushes the state to a remote backend.22.
terraform state rm: Removes items from the state.23.
terraform taint: Manually marks a resource for recreation.24.
terraform untaint: Removes the 'tainted' state from a resource.25.
terraform login: Saves credentials for Terraform Cloud.26.
terraform logout: Removes credentials for Terraform Cloud.27.
terraform force-unlock: Releases a locked state.28.
terraform import: Imports existing infrastructure into your Terraform state.29.
terraform plan -out: Saves the generated plan to a file.30.
terraform apply -auto-approve: Automatically applies changes without requiring approval.31.
terraform apply -target=resource: Applies changes only to a specific resource.32.
terraform destroy -target=resource: Destroys a specific resource.33.
terraform apply -var="key=value": Sets a variable's value directly in the command line.34.
terraform apply -var-file=filename.tfvars: Specifies a file containing variable definitions.35.
terraform apply -var-file=filename.auto.tfvars: Automatically loads variables from a file.Please open Telegram to view this post
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DevOps & Cloud (AWS, AZURE, GCP) Tech Free Learning
Photo
Ansible is a powerful tool for automation and configuration management. Here's a handy list of essential Ansible commands that will boost your productivity:
1. Check Ansible Version
ansible --version
2. Ping All Hosts
ansible all -m ping
3. Run a Command on All Hosts
ansible all -a "uptime"
4. Use a Specific Inventory File
ansible all -i /path/to/inventory -m ping
5. Run a Playbook
ansible-playbook playbook.yml
6. Check Syntax of a Playbook
ansible-playbook playbook.yml --syntax-check
7. List Hosts in Inventory
ansible-inventory --list -i /path/to/inventory
8. Test a Playbook with Dry Run
ansible-playbook playbook.yml --check
9. Encrypt a File with Ansible Vault
ansible-vault encrypt filename.yml
10. Decrypt a File with Ansible Vault
ansible-vault decrypt filename.yml
11. View Encrypted File with Ansible Vault
ansible-vault view filename.yml
12. Edit an Encrypted File with Ansible Vault
ansible-vault edit filename.yml
13. Create a New Vault Password File
ansible-vault create vault-password-file
14. Run a Playbook with a Vault Password File
ansible-playbook playbook.yml --vault-password-file /path/to/vault-password-file
15. Gather Facts About Hosts
ansible all -m setup
16. Display All Modules
ansible-doc -l
17. Get Documentation for a Specific Module
ansible-doc <module_name>
18. Check the Status of a Service
ansible all -m service -a "name=httpd state=started"
19. Copy a File to Hosts
ansible all -m copy -a "src=/path/to/source dest=/path/to/destination"
20. Run a Task as a Different User
ansible all -m command -a "ls -alh /home/user" -u username
Stay efficient and keep automating!
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- 𝗜𝗻𝗶𝘁𝗶𝗮𝗹𝗶𝘇𝗲 𝗥𝗲𝗽𝗼𝘀𝗶𝘁𝗼𝗿𝘆: 𝚐𝚒𝚝 𝚒𝚗𝚒𝚝
- 𝗖𝗹𝗼𝗻𝗲 𝗥𝗲𝗽𝗼𝘀𝗶𝘁𝗼𝗿𝘆: 𝚐𝚒𝚝 𝚌𝚕𝚘𝚗𝚎 [𝚄𝚁𝙻]
- 𝗟𝗶𝘀𝘁 𝗥𝗲𝗺𝗼𝘁𝗲𝘀: 𝚐𝚒𝚝 𝚛𝚎𝚖𝚘𝚝𝚎 -𝚟
- 𝗔𝗱𝗱 𝗥𝗲𝗺𝗼𝘁𝗲: 𝚐𝚒𝚝 𝚛𝚎𝚖𝚘𝚝𝚎 𝚊𝚍𝚍 [𝚗𝚊𝚖𝚎] [𝚄𝚁𝙻] ➕
- 𝗥𝗲𝗺𝗼𝘃𝗲 𝗥𝗲𝗺𝗼𝘁𝗲: 𝚐𝚒𝚝 𝚛𝚎𝚖𝚘𝚝𝚎 𝚛𝚖 [𝚗𝚊𝚖𝚎] ➖
- 𝗙𝗲𝘁𝗰𝗵 𝗥𝗲𝗺𝗼𝘁𝗲 𝗖𝗵𝗮𝗻𝗴𝗲𝘀: 𝚐𝚒𝚝 𝚏𝚎𝚝𝚌𝚑 [𝚛𝚎𝚖𝚘𝚝𝚎]
- 𝗣𝘂𝗹𝗹 𝗖𝗵𝗮𝗻𝗴𝗲𝘀: 𝚐𝚒𝚝 𝚙𝚞𝚕𝚕 [𝚛𝚎𝚖𝚘𝚝𝚎] [𝚋𝚛𝚊𝚗𝚌𝚑]
- 𝗣𝘂𝘀𝗵 𝗖𝗵𝗮𝗻𝗴𝗲𝘀: 𝚐𝚒𝚝 𝚙𝚞𝚜𝚑 [𝚛𝚎𝚖𝚘𝚝𝚎] [𝚋𝚛𝚊𝚗𝚌𝚑]
- 𝗟𝗶𝘀𝘁 𝗕𝗿𝗮𝗻𝗰𝗵𝗲𝘀: 𝚐𝚒𝚝 𝚋𝚛𝚊𝚗𝚌𝚑
- 𝗖𝗿𝗲𝗮𝘁𝗲 𝗕𝗿𝗮𝗻𝗰𝗵: 𝚐𝚒𝚝 𝚋𝚛𝚊𝚗𝚌𝚑 [𝚗𝚊𝚖𝚎] ➕
- 𝗦𝘄𝗶𝘁𝗰𝗵 𝗕𝗿𝗮𝗻𝗰𝗵: 𝚐𝚒𝚝 𝚌𝚑𝚎𝚌𝚔𝚘𝚞𝚝 [𝚗𝚊𝚖𝚎] ↔️
- 𝗖𝗿𝗲𝗮𝘁𝗲 & 𝗦𝘄𝗶𝘁𝗰𝗵 𝗕𝗿𝗮𝗻𝗰𝗵: 𝚐𝚒𝚝 𝚌𝚑𝚎𝚌𝚔𝚘𝚞𝚝 -𝚋 [𝚗𝚊𝚖𝚎] ➕↔️
- 𝗠𝗲𝗿𝗴𝗲 𝗕𝗿𝗮𝗻𝗰𝗵: 𝚐𝚒𝚝 𝚖𝚎𝚛𝚐𝚎 [𝚋𝚛𝚊𝚗𝚌𝚑]
- 𝗗𝗲𝗹𝗲𝘁𝗲 𝗕𝗿𝗮𝗻𝗰𝗵: 𝚐𝚒𝚝 𝚋𝚛𝚊𝚗𝚌𝚑 -𝚍 [𝚗𝚊𝚖𝚎]
- 𝗦𝘁𝗮𝘁𝘂𝘀: 𝚐𝚒𝚝 𝚜𝚝𝚊𝚝𝚞𝚜
- 𝗔𝗱𝗱 𝗖𝗵𝗮𝗻𝗴𝗲𝘀: 𝚐𝚒𝚝 𝚊𝚍𝚍 [𝚏𝚒𝚕𝚎/𝚍𝚒𝚛𝚎𝚌𝚝𝚘𝚛𝚢] ➕
- 𝗖𝗼𝗺𝗺𝗶𝘁 𝗖𝗵𝗮𝗻𝗴𝗲𝘀: 𝚐𝚒𝚝 𝚌𝚘𝚖𝚖𝚒𝚝 -𝚖 "[𝚖𝚎𝚜𝚜𝚊𝚐𝚎]"
- 𝗔𝗺𝗲𝗻𝗱 𝗖𝗼𝗺𝗺𝗶𝘁: 𝚐𝚒𝚝 𝚌𝚘𝚖𝚖𝚒𝚝 --𝚊𝚖𝚎𝚗𝚍
- 𝗥𝗲𝘀𝗲𝘁: 𝚐𝚒𝚝 𝚛𝚎𝚜𝚎𝚝 [𝚏𝚒𝚕𝚎]
- 𝗛𝗮𝗿𝗱 𝗥𝗲𝘀𝗲𝘁: 𝚐𝚒𝚝 𝚛𝚎𝚜𝚎𝚝 --𝚑𝚊𝚛𝚍 [𝚌𝚘𝚖𝚖𝚒𝚝]
- 𝗟𝗼𝗴: 𝚐𝚒𝚝 𝚕𝚘𝚐
- 𝗟𝗼𝗴 (𝗚𝗿𝗮𝗽𝗵): 𝚐𝚒𝚝 𝚕𝚘𝚐 --𝚐𝚛𝚊𝚙𝚑
- 𝗦𝗵𝗼𝘄 𝗖𝗵𝗮𝗻𝗴𝗲: 𝚐𝚒𝚝 𝚜𝚑𝚘𝚠 [𝚌𝚘𝚖𝚖𝚒𝚝]
- 𝗗𝗶𝗳𝗳: 𝚐𝚒𝚝 𝚍𝚒𝚏𝚏 [𝚋𝚛𝚊𝚗𝚌𝚑]
- 𝗦𝘁𝗮𝘀𝗵 𝗖𝗵𝗮𝗻𝗴𝗲𝘀: 𝚐𝚒𝚝 𝚜𝚝𝚊𝚜𝚑
- 𝗔𝗽𝗽𝗹𝘆 𝗦𝘁𝗮𝘀𝗵: 𝚐𝚒𝚝 𝚜𝚝𝚊𝚜𝚑 𝚙𝚘𝚙
- 𝗖𝗹𝗲𝗮𝗻 𝗨𝗻𝘁𝗿𝗮𝗰𝗸𝗲𝗱 𝗙𝗶𝗹𝗲𝘀: 𝚐𝚒𝚝 𝚌𝚕𝚎𝚊𝚗 -𝚏
- 𝗥𝗲𝗯𝗮𝘀𝗲: 𝚐𝚒𝚝 𝚛𝚎𝚋𝚊𝚜𝚎 [𝚋𝚛𝚊𝚗𝚌𝚑] 🏗️
- 𝗖𝗵𝗲𝗿𝗿𝘆-𝗽𝗶𝗰𝗸: 𝚐𝚒𝚝 𝚌𝚑𝚎𝚛𝚛𝚢-𝚙𝚒𝚌𝚔 [𝚌𝚘𝚖𝚖𝚒𝚝]
- 𝗧𝗮𝗴: 𝚐𝚒𝚝 𝚝𝚊𝚐 [𝚗𝚊𝚖𝚎] 🏷️
- 𝗦𝗲𝗮𝗿𝗰𝗵 𝗟𝗼𝗴: 𝚐𝚒𝚝 𝚕𝚘𝚐 --𝚐𝚛𝚎𝚙="[𝚙𝚊𝚝𝚝𝚎𝚛𝚗]"
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Project Overview:
Check for full details
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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:
There's overlap in principles but differences in scope. Many organizations blend these roles for the best results.
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AWS region vibes: 😎
The comparison:😂
📱 𝐅𝐨𝐥𝐥𝐨𝐰 @prodevopsguy 𝐟𝐨𝐫 𝐦𝐨𝐫𝐞 𝐬𝐮𝐜𝐡 𝐜𝐨𝐧𝐭𝐞𝐧𝐭 𝐚𝐫𝐨𝐮𝐧𝐝 𝐜𝐥𝐨𝐮𝐝 & 𝐃𝐞𝐯𝐎𝐩𝐬!!! // 𝐉𝐨𝐢𝐧 𝐟𝐨𝐫 𝐃𝐞𝐯𝐎𝐩𝐬 𝐃𝐎𝐂𝐬: @devopsdocs
The comparison:
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AWS ☁️ vs GCP ☁️ vs Azure ☁️ Cloud services Comparison Cheatsheet ⚡️
📱 𝐅𝐨𝐥𝐥𝐨𝐰 @prodevopsguy 𝐟𝐨𝐫 𝐦𝐨𝐫𝐞 𝐬𝐮𝐜𝐡 𝐜𝐨𝐧𝐭𝐞𝐧𝐭 𝐚𝐫𝐨𝐮𝐧𝐝 𝐜𝐥𝐨𝐮𝐝 & 𝐃𝐞𝐯𝐎𝐩𝐬!!! // 𝐉𝐨𝐢𝐧 𝐟𝐨𝐫 𝐃𝐞𝐯𝐎𝐩𝐬 𝐃𝐎𝐂𝐬: @devopsdocs
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Looking for people having 6m to 1 Yr of experience in DevOps tools like Ansible, Docker, GitLab, Terraform and Python Scripting and Linux.
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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
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.
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so let's go!!!
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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
It is a new way to manage traffic to Kubernetes services.
Ingress focuses on routing HTTP traffic.
While Gateway API supports a wider range of protocols, including HTTP, TCP, and gRPC.
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