DevOps & Cloud (AWS, AZURE, GCP) Tech Free Learning
1733288664766.gif
Start by writing the application code in your preferred programming language or framework, based on your project's requirements.
Commit the code to a version control system like Git, which helps track changes, collaborate with others, and maintain a history of revisions.
Package the application along with its dependencies into a Docker container. This ensures consistency when running the application across different environments.
Before pushing the Docker image to a registry, scan it for vulnerabilities using tools like Trivy, Clair, or Docker’s built-in security scanning. Identifying and fixing vulnerabilities at this stage helps secure the application before deployment.
Upload the containerized application (Docker image) to a container registry, such as Artifactory. This repository stores your images, making them available for deployment.
Define how the application should run in Kubernetes using YAML files. These files specify details like replicas, resources, and the desired application state.
Use kubectl, the Kubernetes command-line tool, to apply the deployment configuration. This tells Kubernetes to run the application in the cluster, maintaining the desired state defined in the YAML file.
Create a Service to expose the deployed application within the cluster, enabling communication with other services or components.
Use an Ingress resource to route external traffic to the appropriate service inside the cluster, making the application accessible to users.
Please open Telegram to view this post
VIEW IN TELEGRAM
1733312051250.gif
1.9 MB
1. 𝑫𝒆𝒗𝒆𝒍𝒐𝒑𝒆𝒓
- Role: The developer creates both the Terraform configuration files and the application code, ensuring that infrastructure and application requirements align seamlessly.
2. 𝑺𝒐𝒖𝒓𝒄𝒆 𝑪𝒐𝒏𝒕𝒓𝒐𝒍
- Process: After writing the code, the developer commits changes to a local Git repository. This is followed by pushing these commits to a remote repository, allowing for collaborative development and version control.
3. 𝑺𝒕𝒂𝒕𝒊𝒄 𝑪𝒐𝒅𝒆 𝑨𝒏𝒂𝒍𝒚𝒔𝒊𝒔
- Purpose: Before initiating the CI/CD pipeline, a static code analysis tool, such as SonarQube, scans the code for potential security vulnerabilities and assesses overall code quality. This step helps catch issues early in the development process.
4. 𝐂𝐈/𝐂𝐃 𝐓𝐨𝐨𝐥 𝐓𝐫𝐢𝐠𝐠𝐞𝐫
- Action: The push to the remote repository automatically triggers the CI/CD pipeline configured in Jenkins, initiating the automated workflow.
5. 𝐂𝐈/𝐂𝐃 𝐓𝐨𝐨𝐥𝐬
- Options: Various CI/CD tools are available, including CircleCI, GitHub Actions, and ArgoCD, providing flexibility based on project needs and team preferences.
6. 𝑻𝒆𝒓𝒓𝒂𝒇𝒐𝒓𝒎 𝑰𝒏𝒊𝒕𝒊𝒂𝒍𝒊𝒛𝒂𝒕𝒊𝒐𝒏
- Command: Jenkins executes the
terraform init command to set up the Terraform working directory. This step involves downloading the necessary provider plugins to ensure proper configuration.7. 𝑰𝒏𝒇𝒓𝒂𝒔𝒕𝒓𝒖𝒄𝒕𝒖𝒓𝒆 𝑷𝒍𝒂𝒏𝒏𝒊𝒏𝒈
- Execution: The
terraform plan command is run by Jenkins, generating an execution plan that outlines the actions Terraform will take to achieve the desired state specified in the configuration files.8. 𝑰𝒏𝒇𝒓𝒂𝒔𝒕𝒓𝒖𝒄𝒕𝒖𝒓𝒆 𝑨𝒑𝒑𝒍𝒊𝒄𝒂𝒕𝒊𝒐𝒏
- Implementation: Jenkins then runs
terraform apply, applying the planned changes to the infrastructure. This step implements actual modifications to the cloud resources as defined in the Terraform configuration.9. 𝑰𝒏𝒇𝒓𝒂𝒔𝒕𝒓𝒖𝒄𝒕𝒖𝒓𝒆 𝑫𝒆𝒑𝒍𝒐𝒚𝒎𝒆𝒏𝒕
- Outcome: The infrastructure is deployed to the designated cloud provider, such as AWS, Azure, or GCP, ensuring that resources are correctly provisioned.
10. 𝑰𝒏𝒇𝒓𝒂𝒔𝒕𝒓𝒖𝒄𝒕𝒖𝒓𝒆 𝑹𝒆𝒂𝒅𝒚 𝒇𝒐𝒓 𝑼𝒔𝒆
- Result: The deployed resources, including virtual machines, networks, and storage, are now provisioned and available for immediate use, enabling further development and deployment of applications.
This structure improves readability while maintaining clarity, making it more engaging for your audience on social media or in presentations.
Please open Telegram to view this post
VIEW IN TELEGRAM
Kubernetes has revolutionized the way we deploy and manage containerized applications, but understanding its architecture can sometimes feel like navigating a complex labyrinth. Fear not! I've simplified it into bite-sized pieces for you.
Nodes: Think of them as the workers and managers in your application orchestra.
Pods: Your application's smallest building blocks, neatly packed containers.
Services: Gateways to your applications, ensuring seamless communication.
Controllers: The brains behind the operation, ensuring everything runs smoothly.
etcd: The reliable memory bank, storing all cluster data securely.
API Server, Scheduler, Controller Manager: The command center, orchestrating every move.
Please open Telegram to view this post
VIEW IN TELEGRAM
DevOps is a rapidly growing field that combines software development and operations, enabling organizations to deliver high-quality software at a faster pace. So, let's explore the key skills you need to master on your journey to becoming a DevOps Engineer:
Cloud platforms like AWS, Azure, and GCP are revolutionizing the IT landscape.
Remember, becoming a DevOps Engineer is an ongoing journey. Stay curious, keep learning, and embrace new technologies and practices as they emerge. Engage in open-source projects, attend conferences, and connect with fellow professionals to expand your network and stay up-to-date.
Please open Telegram to view this post
VIEW IN TELEGRAM
1. Create a Static Website Using Amazon S3
2. Launch and Configure an EC2 Instance
3. Set Up an Application Load Balancer
4. Implement Auto Scaling
5. Create a VPC with Public and Private Subnets
6. Set Up an Amazon RDS Database
7. Implement an S3 Lifecycle Policy
8. Set Up CloudFront Distribution
9. Implement IAM Roles and Policies
10. Set Up a Simple Serverless Application
Some resources will incur costs so make sure you manage that and terminate when you conclude your work.
Please open Telegram to view this post
VIEW IN TELEGRAM
Are you gearing up for a DevOps interview? Here are 25 critical questions that will help you shine!
1.What is CI/CD and why is it important?
2. Explain the difference between Docker and Kubernetes.
3. How do you ensure high availability in a cloud environment?
4. What are the different stages in a DevOps pipeline?
5. How do you monitor and troubleshoot application performance?
6. Describe a situation where you had to resolve a production issue.
7. What are some best practices for infrastructure as code (IaC)?
8. How do you handle security in a DevOps workflow?
9. What tools do you use for configuration management and why?
10. Explain the concept of blue-green deployment.
11. How does container orchestration work?
12. What is the role of a reverse proxy in a DevOps environment?
13. How do you implement logging and monitoring for microservices?
14. What is a service mesh and why is it useful?
15. Can you explain the concept of immutable infrastructure?
16. How do you manage secrets and sensitive data in your deployments?
17. What are the key metrics you monitor in a DevOps environment?
18. How do you handle load balancing and scaling in Kubernetes?
19. What is a canary deployment and how is it different from blue-green deployment?
20. How do you ensure disaster recovery and backup in cloud infrastructure?
21. What are the common challenges in a DevOps transformation?
22. Explain the use of Ansible/Puppet/Chef in DevOps.
23. How do you integrate security practices into your CI/CD pipeline?
24. What is the significance of automated testing in DevOps?
25. How do you manage and optimize costs in a cloud environment?
Good luck!
Please open Telegram to view this post
VIEW IN TELEGRAM
1733337999577.gif
1.4 MB
AWS Vs. Azure: Which Cloud Platform is Best for Your Career?
Choosing between AWS and Azure can be a crucial decision for anyone looking to build a successful cloud career. With both platforms offering vast, scalable storage services, it’s important to understand the core differences and advantages each brings.
📱 𝗙𝗼𝗹𝗹𝗼𝘄 @prodevopsguy 𝐟𝐨𝐫 𝐦𝐨𝐫𝐞 𝐬𝐮𝐜𝐡 𝐜𝐨𝐧𝐭𝐞𝐧𝐭 𝐚𝐫𝐨𝐮𝐧𝐝 𝐜𝐥𝐨𝐮𝐝 & 𝐃𝐞𝐯𝐎𝐩𝐬!!! // 𝐉𝐨𝐢𝐧 𝐟𝐨𝐫 𝐃𝐞𝐯𝐎𝐩𝐬 𝐃𝐎𝐂𝐬: @devopsdocs
Choosing between AWS and Azure can be a crucial decision for anyone looking to build a successful cloud career. With both platforms offering vast, scalable storage services, it’s important to understand the core differences and advantages each brings.
Please open Telegram to view this post
VIEW IN TELEGRAM
1. terraform init: Initializes a Terraform working directory.
2. terraform validate: Validates the Terraform configuration files.
3. terraform fmt: Formats the Terraform configuration files.
4. terraform apply: Applies the configuration to create or update infrastructure.
5. terraform destroy: Destroys the infrastructure managed by Terraform.
6. terraform refresh: Refreshes the Terraform state to match the actual infrastructure.
7. terraform show: Shows the Terraform state and configuration.
8. terraform state list: Lists the resources in the Terraform state.
9. terraform state show: Shows the details of a specific resource in the Terraform state.
10. terraform state rm: Removes a resource from the Terraform state.
11. terraform state mv: Moves a resource from one state to another.
12. terraform get: Downloads and installs Terraform modules.
13. terraform module: Manages Terraform modules.
14. terraform module init: Initializes a Terraform module.
15. terraform providers: Lists the available Terraform providers.
16. terraform provider: Manages Terraform providers.
17. terraform provider init: Initializes a Terraform provider.
18. terraform workspace: Manages Terraform workspaces.
19. terraform workspace new: Creates a new Terraform workspace.
20. terraform workspace select: Selects a Terraform workspace.
21. terraform debug: Enables debug logging for Terraform.
22. terraform logs: Shows the Terraform logs.
23. terraform console: Opens a Terraform console for interactive debugging.
24. terraform import: Imports existing infrastructure into Terraform.
25. terraform export: Exports the Terraform state to a file.
26. terraform version: Shows the Terraform version.
27. terraform help: Shows the Terraform help.
28. terraform upgrade: Upgrades Terraform to the latest version.
29. terraform console: Opens a Terraform console for interactive debugging.
30. terraform graph: Generates a graph of the Terraform configuration.
31. terraform output: Shows the output of a Terraform configuration.
32. terraform cli: Manages the Terraform CLI.
33. terraform cli config: Configures the Terraform CLI.
34. terraform config: Manages the Terraform configuration.
35. terraform config init: Initializes a Terraform configuration.
36. terraform state backend: Manages the Terraform state backend.
37. terraform state backend init: Initializes a Terraform state backend.
38. terraform workspace: Manages Terraform workspaces.
39. terraform workspace new: Creates a new Terraform workspace.
Please open Telegram to view this post
VIEW IN TELEGRAM
In This Project, we are Developing and Deploying a video streaming application on EC2 using Docker and AWS Developers Tools.
📣 Note: Fork this Repository🧑💻 for upcoming future projects, Every week releases new Project.
Please open Telegram to view this post
VIEW IN TELEGRAM
1.
git init - Initialize a new Git repository.2.
git clone <repository> - Clone an existing Git repository.3.
git config --global user.name "<Your Name>" - Set your username for Git.4.
git config --global user.email "<your_email@example.com>" - Set your email address for Git.5.
git status - Check the status of your repository.6.
git add <file> - Stage a file for the next commit.7.
git add . - Stage all changes in the current directory and subdirectories.8.
git commit -m "<commit_message>" - Commit changes with a meaningful commit message.9.
git log - Display a log of all commits made to the repository.10.
git branch - List all branches in the repository.11.
git checkout <branch> - Switch to a different branch.12.
git merge <branch> - Merge changes from another branch into the current branch.1.
git branch <new_branch> - Create a new branch.2.
git branch -d <branch> - Delete a branch.3.
git branch -m <old_branch> <new_branch> - Rename a branch.4.
git checkout -b <new_branch> - Create a new branch and switch to it.1.
git remote add <name> <url> - Add a remote repository.2.
git remote remove <name> - Remove a remote repository.3.
git remote rename <old_name> <new_name> - Rename a remote repository.4.
git fetch <remote> - Fetch changes from a remote repository.5.
git push <remote> <branch> - Push changes to a remote repository.6.
git pull <remote> <branch> - Pull changes from a remote repository.1.
git merge <branch> - Merge changes from another branch into the current branch.2.
git merge --abort - Abort a merge operation.3.
git merge --continue - Continue a merge operation after resolving conflicts.4.
git status - Check the status of your repository during a merge operation.1.
git tag <tag_name> - Create a lightweight tag.2.
git tag -a <tag_name> -m "<tag_message>" - Create an annotated tag.3.
git tag -d <tag_name> - Delete a tag.4.
git tag -l - List all tags in the repository.1.
git reset <commit> - Reset your repository to a specific commit.2.
git reset --hard <commit> - Reset your repository to a specific commit and discard all changes.3.
git revert <commit> - Revert changes made by a specific commit.4.
git revert --no-commit <commit> - Revert changes made by a specific commit without committing the changes.1.
git stash - Stash changes in your repository.2.
git stash list - List all stashed changes.3.
git stash apply - Apply stashed changes to your repository.4.
git stash drop - Delete a stashed change.5.
git stash pop - Apply and delete a stashed change.1.
git submodule add <repository> - Add a submodule to your repository.2.
git submodule init - Initialize a submodule.3.
git submodule update - Update a submodule.4.
git submodule status - Check the status of a submodule.5.
git submodule summary - Summarize changes made to a submodule.1.
git cherry-pick <commit> - Apply changes made by a specific commit to your current branch.2.
git cherry-pick --abort - Abort a cherry-pick operation.3.
git cherry-pick --continue - Continue a cherry-pick operation after resolving conflicts.1.
git rebase <branch> - Rebase your current branch onto another branch.2.
git rebase --abort - Abort a rebase operation.3.
git rebase --continue - Continue a rebase operation after resolving conflicts.4.
git rebase -i <commit> - Interactively rebase changes made since a specific commit.1.
git diff - Display differences between your working directory and the staging area.2.
git diff --cached - Display differences between the staging area and the last commit.Please open Telegram to view this post
VIEW IN TELEGRAM
1.
docker create [OPTIONS] IMAGE [COMMAND] [ARG...] - Create a new container from an image.2.
docker run [OPTIONS] IMAGE [COMMAND] [ARG...] - Run a command in a new container.3.
docker start [OPTIONS] CONTAINER [CONTAINER...] - Start one or more stopped containers.4.
docker stop [OPTIONS] CONTAINER [CONTAINER...] - Stop one or more running containers.5.
docker restart [OPTIONS] CONTAINER [CONTAINER...] - Restart one or more containers.6.
docker rm [OPTIONS] CONTAINER [CONTAINER...] - Remove one or more containers.7.
docker kill [OPTIONS] CONTAINER [CONTAINER...] - Kill one or more running containers.1.
docker images [OPTIONS] [REPOSITORY[:TAG]] - List images.2.
docker pull [OPTIONS] NAME[:TAG|@DIGEST] - Pull an image or a repository from a registry.3.
docker push [OPTIONS] NAME[:TAG] - Push an image or a repository to a registry.4.
docker rmi [OPTIONS] IMAGE [IMAGE...] - Remove one or more images.5.
docker tag [OPTIONS] IMAGE REF - Create a tag TARGET_IMAGE that refers to SOURCE_IMAGE.6.
docker build [OPTIONS] PATH | URL | - - Build an image from a Dockerfile.7.
docker history [OPTIONS] IMAGE - Show the history of an image.1.
docker volume create [OPTIONS] [VOLUME] - Create a volume.2.
docker volume inspect [OPTIONS] VOLUME [VOLUME...] - Display detailed information on one or more volumes.3.
docker volume ls [OPTIONS] [FILTER] - List volumes.4.
docker volume rm [OPTIONS] VOLUME [VOLUME...] - Remove one or more volumes.5.
docker volume prune [OPTIONS] - Remove all unused local volumes.1.
docker network create [OPTIONS] NETWORK - Create a network.2.
docker network connect [OPTIONS] NETWORK CONTAINER - Connect a container to a network.3.
docker network disconnect [OPTIONS] NETWORK CONTAINER - Disconnect a container from a network.4.
docker network inspect [OPTIONS] NETWORK [NETWORK...] - Display detailed information on one or more networks.5.
docker network ls [OPTIONS] [FILTER] - List networks.6.
docker network rm [OPTIONS] NETWORK [NETWORK...] - Remove one or more networks.1.
docker info [OPTIONS] - Display system-wide information.2.
docker version [OPTIONS] - Show the Docker version information.3.
docker system prune [OPTIONS] - Remove unused data.1.
docker login [OPTIONS] [SERVER] - Log in to a Docker registry.2.
docker logout [OPTIONS] [SERVER] - Log out from a Docker registry.1.
docker manifest [OPTIONS] COMMAND [ARG...] - Work with Docker image manifests.2.
docker swarm [OPTIONS] COMMAND [ARG...] - Work with Docker Swarm.3.
docker service [OPTIONS] COMMAND [ARG...] - Work with Docker services.1.
docker exec [OPTIONS] CONTAINER COMMAND [ARG...] - Run a command in a running container.2.
docker logs [OPTIONS] CONTAINER - Fetch the logs of a container.3.
docker port [OPTIONS] CONTAINER PRIVATE_PORT - List port mappings or a specific mapping for the container.4.
docker top [OPTIONS] CONTAINER - Display the running processes of a container.5.
docker unpause [OPTIONS] CONTAINER [CONTAINER...] - Unpause all processes in one or more containers.6.
docker update [OPTIONS] CONTAINER [CONTAINER...] - Update configuration of one or more containers.Please open Telegram to view this post
VIEW IN TELEGRAM
Codefresh
Jenkins Pipeline: Examples, Usage, and Best Practices
Jenkins Pipeline lets you implement continuous delivery (CD) pipelines on the Jenkins automation server. Pipelines are defined as text-based Jenkinsfiles.
In real-world projects, Jenkins pipelines play a crucial role in automating software delivery. Here are the two main types of Jenkins pipelines:
🔢 . Scripted Pipeline:
➡️ Description: Scripted pipelines are more traditional and allow developers to have fine-grained control over the build process. They are coded as Jenkinsfiles using Groovy, which requires some programming knowledge.
➡️ Syntax Example:
➡️ Pros:
- Greater flexibility for custom logic.
- Full control over each stage.
- Ideal for complex workflows.
➡️ Cons:
- Requires Groovy programming skills.
- Less declarative.
🔢 . Declarative Pipeline:
➡️ Description: Declarative pipelines use a YAML-based syntax to define the build process. They are easier to work with and do not require knowledge of Groovy code. Jenkins can automatically validate the syntax of a declarative pipeline.
➡️ Syntax Example:
➡️ Pros:
- Simpler syntax.
- Automatic syntax validation.
- Ideal for straightforward workflows.
➡️ Cons:
- Less flexible than scripted pipelines.
Choose the pipeline type that best suits your project's needs. Whether you prefer fine-grained control or a more declarative approach, Jenkins pipelines empower you to automate your software delivery process!🚀 🔧
➡️ References:
1. Jenkins Pipeline: Examples, Usage, and Best Practices [1]
2. Jenkins Freestyle vs Pipeline: Which One Should You Use? [2]
➡️ Reference links: [1] [2] [3] [4]
📱 𝗙𝗼𝗹𝗹𝗼𝘄 @prodevopsguy 𝐟𝐨𝐫 𝐦𝐨𝐫𝐞 𝐬𝐮𝐜𝐡 𝐜𝐨𝐧𝐭𝐞𝐧𝐭 𝐚𝐫𝐨𝐮𝐧𝐝 𝐜𝐥𝐨𝐮𝐝 & 𝐃𝐞𝐯𝐎𝐩𝐬!!! // 𝐉𝐨𝐢𝐧 𝐟𝐨𝐫 𝐃𝐞𝐯𝐎𝐩𝐬 𝐃𝐎𝐂𝐬: @devopsdocs
node {
stage('Build') {
// Perform build steps
}
stage('Test') {
// Execute tests
}
stage('Deploy') {
// Deploy artifacts
}
}- Greater flexibility for custom logic.
- Full control over each stage.
- Ideal for complex workflows.
- Requires Groovy programming skills.
- Less declarative.
pipeline {
agent any
stages {
stage('Build') {
steps {
// Build steps
}
}
stage('Test') {
steps {
// Testing tasks
}
}
stage('Deploy') {
steps {
// Deployment actions
}
}
}
}- Simpler syntax.
- Automatic syntax validation.
- Ideal for straightforward workflows.
- Less flexible than scripted pipelines.
Choose the pipeline type that best suits your project's needs. Whether you prefer fine-grained control or a more declarative approach, Jenkins pipelines empower you to automate your software delivery process!
1. Jenkins Pipeline: Examples, Usage, and Best Practices [1]
2. Jenkins Freestyle vs Pipeline: Which One Should You Use? [2]
Please open Telegram to view this post
VIEW IN TELEGRAM
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.
Please open Telegram to view this post
VIEW IN TELEGRAM
In this project, I dive into setting up a robust 3-tier architecture on AWS designed to boost scalability, ensure high security, and optimize performance for modern web applications.
📣 Note: Fork this Repository🧑💻 for upcoming future projects, Every week releases new Project.
Please open Telegram to view this post
VIEW IN TELEGRAM
And here's a simple hack that can help.
It runs on each node, if a problem is detected it can report to apiserver. Here are some issues it can detect:
Try it out. Positive approach powers progress.
Please open Telegram to view this post
VIEW IN TELEGRAM
Let’s talk Docker images – nobody likes them big and slow, right? I had an image that was 879MB (way too big!), and I got it down to 150MB. Here’s how I did it:
[
[
[
[
[
Making Docker images smaller isn’t hard, and it’s worth it.
Faster builds, quicker deployments, and less storage needed. Give it a try!
Please open Telegram to view this post
VIEW IN TELEGRAM
1. Upwork - https://lnkd.in/gt4HYmd6
2. Docker, Inc - https://lnkd.in/gfX5-pQG
3. Automattic - https://lnkd.in/ddSBdusv
4. DigitalOcean - https://lnkd.in/dYgDZ-WF
5. Constructor - https://lnkd.in/daBzMdxM
6. Shopify - https://lnkd.in/d9zpGKTy
7. Abnormal Security - https://lnkd.in/gn5M4VDF
8. Mentorsity - https://lnkd.in/d8YyGHNH
9. Cloudflare - https://lnkd.in/g9JPXp2F
10. MissionWired - https://lnkd.in/gMA6AVdG
11. Symetra - http://www.symetra.com
12. Doist - https://doist.com/careers/
13. LogicGate - https://lnkd.in/gjgX27Bc
14. Canonical - https://lnkd.in/d9mf5Rr3
15. Cloudbeds - https://lnkd.in/dg3gC5v6
16. Sorcero - https://lnkd.in/gpmDTnH7
17. Beekeeper - https://lnkd.in/gxd7rs7Q
18. Uplers - https://www.uplers.com
19. Bold - https://lnkd.in/dZQ8dQnq
20. DuckDuckGo - https://lnkd.in/d_Kv9dM6
21. DealHub.io - https://lnkd.in/gyNED4yp
22. Kemecon - http://kemecon.com
23. Akamai Technologies - https://lnkd.in/dpTN5nPT
24. Arkency - https://lnkd.in/dBB_wZaR
25. Deltek - https://lnkd.in/dkSfGNbF
26. Cash App - https://lnkd.in/gdp8yUm8
27. Cloudflare - https://lnkd.in/g9JPXp2F
28. Affordmate - http://www.affordmate.com
29. Rec Room - https://lnkd.in/gErDuTNa
30. Funded.club - https://lnkd.in/gpH4FazA
31. Expert Thinking - https://lnkd.in/dz_4HFUi
32. Patreon - https://lnkd.in/gzQptMcQ
33. Xapobank - http://www.xapobank.com
34. Cengage Group - https://lnkd.in/gGkT6jRZ
35. LogicGate - https://lnkd.in/gjgX27Bc
36. Quest Software - https://lnkd.in/dkHSNGmM
37. Workera - https://lnkd.in/g2YzZu-H
38. Faire - https://lnkd.in/gYRNr9VM
39. McGraw Hill - https://lnkd.in/g59pzFf4
40. UserGems - https://lnkd.in/gXi3mNf6
41. Goinstacare - https://lnkd.in/d6ZN5FVD
42. Workiva - https://lnkd.in/g-FUYYdR
43. Contra - https://contra.com/careers
44. Awesomemotive - https://lnkd.in/diZZjb4J
45. Appcues - https://lnkd.in/dp2Jiupp
46. Jenius Bank - https://lnkd.in/gxGqHGkH
47. DocuSign - https://lnkd.in/ggfUncZf
48. Confluent - https://lnkd.in/dNSTmUeH
49. Census - https://lnkd.in/gAq7PGzc
50. AngelOne - https://lnkd.in/dk3NwDn6
Please open Telegram to view this post
VIEW IN TELEGRAM