Mastering Terraform can greatly enhance your infrastructure management. Here’s a quick reference to essential Terraform commands:
- terraform state list - List resources in the state.
- terraform state show - Show a resource in the state.
- terraform state rm - Remove a resource from the state.
- Terraform Documentation: https://www.terraform.io/docs/index.html
- Terraform Best Practices: https://www.terraform-best-practices.com
Keep this cheat sheet handy and automate your infrastructure with confidence!💡
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How Docker 🐬 Works Explained
Docker is a platform that simplifies application development and deployment through containerization.
➡️ Here's a brief overview of how it works:
1. Developer: Writes code and prepares a Dockerfile with instructions to build an image.
2. Client: Uses Docker commands (docker build, docker pull, docker run, docker push) to interact with Docker.
3. Dockerfile: Script containing instructions to create an image, specifying base images and configurations.
4. Registry: Stores Docker images, which can be pulled or pushed by developers.
5. Docker Host: Runs the Docker daemon, managing images and containers.
6. Docker Daemon: Background service that manages the lifecycle of containers.
7. Images: Templates for creating containers, containing applications and dependencies.
8. Containers: Isolated environments where applications run, sharing the host system's kernel.
➡️ Workflow:
- Build: Developer creates an image from a Dockerfile.
- Push: Image is uploaded to a registry.
- Pull: Image is downloaded from the registry.
- Run: Container is created and started from the image.
❤️ 𝗙𝗼𝗹𝗹𝗼𝘄 @prodevopsguy 𝐟𝐨𝐫 𝐦𝐨𝐫𝐞 𝐬𝐮𝐜𝐡 𝐜𝐨𝐧𝐭𝐞𝐧𝐭 𝐚𝐫𝐨𝐮𝐧𝐝 𝐜𝐥𝐨𝐮𝐝 & 𝐃𝐞𝐯𝐎𝐩𝐬!!! // 𝐉𝐨𝐢𝐧 𝐟𝐨𝐫 𝐃𝐞𝐯𝐎𝐩𝐬 𝐃𝐎𝐂𝐬: @devopsdocs
Docker is a platform that simplifies application development and deployment through containerization.
1. Developer: Writes code and prepares a Dockerfile with instructions to build an image.
2. Client: Uses Docker commands (docker build, docker pull, docker run, docker push) to interact with Docker.
3. Dockerfile: Script containing instructions to create an image, specifying base images and configurations.
4. Registry: Stores Docker images, which can be pulled or pushed by developers.
5. Docker Host: Runs the Docker daemon, managing images and containers.
6. Docker Daemon: Background service that manages the lifecycle of containers.
7. Images: Templates for creating containers, containing applications and dependencies.
8. Containers: Isolated environments where applications run, sharing the host system's kernel.
- Build: Developer creates an image from a Dockerfile.
- Push: Image is uploaded to a registry.
- Pull: Image is downloaded from the registry.
- Run: Container is created and started from the image.
Docker ensures applications are portable and consistent across different environments, simplifying deployment and scaling.
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Docker Documentation
Writing a Dockerfile
This concept page will teach you how to create image using Dockerfile.
A Dockerfile 🐬 is a text-based document that provides instructions for creating a container image. Let's walk through the basics of writing one:
1. Choose a Base Image:
Start by specifying the base image you want to use. It serves as the foundation for your custom image. For example:
2. Set the Working Directory:
Use the
3. Copy Files:
Use
4. Install Dependencies:
Run any necessary commands to install dependencies (e.g., using
5. Expose Ports:
Specify which ports your application will listen on using
6. Define Startup Command:
Finally, set the command that runs when the container starts:
For a hands-on tutorial, check out this Dockerfile tutorial from Docker's official documentation. [1]
➡️ Reference links: [1] [2] [3] [4] [5] [6] [7] [8] [9] [10] [11] [12] [13] [14]
📱 𝗙𝗼𝗹𝗹𝗼𝘄 @prodevopsguy 𝐟𝐨𝐫 𝐦𝐨𝐫𝐞 𝐬𝐮𝐜𝐡 𝐜𝐨𝐧𝐭𝐞𝐧𝐭 𝐚𝐫𝐨𝐮𝐧𝐝 𝐜𝐥𝐨𝐮𝐝 & 𝐃𝐞𝐯𝐎𝐩𝐬!!! // 𝐉𝐨𝐢𝐧 𝐟𝐨𝐫 𝐃𝐞𝐯𝐎𝐩𝐬 𝐃𝐎𝐂𝐬: @devopsdocs
1. Choose a Base Image:
Start by specifying the base image you want to use. It serves as the foundation for your custom image. For example:
FROM node:14
2. Set the Working Directory:
Use the
WORKDIR instruction to define the working directory inside the container:WORKDIR /usr/src/app
3. Copy Files:
Use
COPY or ADD to copy files from your local machine into the image:COPY package\.json package-lock\.json \./
4. Install Dependencies:
Run any necessary commands to install dependencies (e.g., using
RUN npm install for Node.js):RUN npm install
5. Expose Ports:
Specify which ports your application will listen on using
EXPOSE:EXPOSE 3000
6. Define Startup Command:
Finally, set the command that runs when the container starts:
CMD ["npm", "start"]
Remember, this is just a basic example. You can customize your Dockerfile based on your specific application and requirements.
For a hands-on tutorial, check out this Dockerfile tutorial from Docker's official documentation. [1]
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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
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A Dockerfile is essentially a set of instructions that Docker follows to build a Docker image. These instructions specify what operating system to use, what software packages to install, what files to copy into the container, what environment variables to set, and what commands to run when the container starts.
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- Deployment manifest files
- Jenkins deployments & configurations
- Kubernetes Ingress files
- Realtime projects manifest files
- Helm charts for any application
- End to End Manifest files for any applications
- Includes AWS ELK Stack (Elasticsearch, Logstash, Kibana)
- Network service configurations templates
- Application monitoring templates for any applications
- Complete application launch manifest files for Realtime projects
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DevOps & Cloud (AWS, AZURE, GCP) Tech Free Learning
Photo
•
htop - Like top, but actually useful•
df -h - Because disk space issues find you•
netstat -tulpn - Your network's story•
lsof - What's using that port?•
ps aux | grep - Finding that runaway process•
dmesg - Kernel's gossip channel•
find . -name - Your file search superhero•
tar -xvf - Unzip like a pro•
rsync - scp's smarter cousin•
sed -i - Stream editing wizard•
awk - Text manipulation magic•
grep -r - Find text like a detective•
docker stats - Container vital signs•
docker logs -f - Live container stories•
crictl pods - Kubernetes container whisperer•
kubectl get pods - K8s status check•
tail -f - Log watching party•
watch - Command on repeat•
vmstat - Memory tales•
iostat - Disk performance poetry•
curl -v - HTTP storyteller•
nc - Network swiss army knife•
dig - DNS detective•
ss - Socket statistics•
chmod - Permission painter•
chown - Ownership wizard•
openssl - Certificate craftsman•
ssh-keygen - Key creator•
systemctl - Service sorcery•
journalctl - Log time machine•
kill -9 - Process terminator•
nice - Priority painter•
strace - System call spy•
tcpdump - Network packet poet•
sar - System activity reporter•
perf - Performance profiler•
cut -d - Column collector•
sort | uniq -c - Pattern finder•
tr - Character changer•
wc -l - Line counter•
du -sh - Directory size detective•
fdisk -l - Disk detective•
mount - filesystem connector•
ln -s - Symlink sorcerer•
history | grep - Command time machine•
!! - Last command replay•
ctrl+r - Reverse search magic•
alias - Command shortcut creator•
tee - Output splitter•
xargs - Command multiplier•
at - Job scheduler•
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• You won’t be asked to build a pipeline on day 1.
• You won’t be updating the YAMLs on day 2.
• You won’t be modernising the entire infrastructure with Terraform or Crossplane.
• You won’t be automating anything and everything you see.
• You won’t be asked to create custom dashboards.
• You won’t be asked to replace Jenkins with GitLab.
• You won't be handling a full-scale data migration alone.
• You won’t be asked to spend your weekend troubleshooting that late Friday push.
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Why click when you can script?
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Here are the most widely used tools in the industry along with their official documentation:
1. Git: https://git-scm.com/docs
2. GitHub: https://docs.github.com/en
3. Bitbucket: https://lnkd.in/dA2PcM_w
1. Service Now: https://lnkd.in/d69yubJF
2. Jira: https://lnkd.in/dD_WcXFQ
3. Trello: https://trello.com/guide
1. AWS: https://lnkd.in/dMa9XpMa
2. Azure: https://lnkd.in/dBsJtZHy
3. GCP: https://lnkd.in/d3hmN-Jr
1. Docker: https://docs.docker.com/
2. Kubernetes: https://lnkd.in/dZXfQEqW
3. Mesos: https://lnkd.in/dqzvzJhY
1. Terraform: https://lnkd.in/dM46h2_D
2. Octopus: https://octopus.com/docs
3. Heroku: https://lnkd.in/dCDuwvcj
1. Selenium: https://lnkd.in/dTnFN8bT
2. Cucumber: https://lnkd.in/dpmD4A9C
3. Postman: https://lnkd.in/d3xERi6c
1. Maven: https://lnkd.in/dfgBnrZj
2. Gradle: https://lnkd.in/dv6rQczZ
3. Ant: https://lnkd.in/dQgMsgef
1. Jenkins: https://lnkd.in/dPmA6-ff
2. TravisCI: https://lnkd.in/dxxFaK_X
3. Argo CD: https://lnkd.in/dK5eXbYi
1. Grafana: https://lnkd.in/dX5anVq9
2. Prometheus: https://lnkd.in/ddxjc9bV
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In a microservices architecture, 𝗔𝗽𝗽𝗹𝗶𝗰𝗮𝘁𝗶𝗼𝗻 𝗟𝗼𝗮𝗱 𝗕𝗮𝗹𝗮𝗻𝗰𝗲𝗿 (𝗔𝗟𝗕) is often the go-to solution for routing incoming requests to the correct microservices based on their paths. But here's the key question: 𝘿𝙤 𝙮𝙤𝙪 𝙣𝙚𝙚𝙙 𝙖𝙣 𝘼𝙋𝙄 𝙂𝙖𝙩𝙚𝙬𝙖𝙮 𝙤𝙣 𝙩𝙤𝙥 𝙤𝙛 𝙖𝙣 𝘼𝙇𝘽?
The answer depends on how your microservice APIs are intended to be used:
If the APIs provided by the microservices are solely for internal use (within your VPC or Account), there’s no need for an additional API Gateway. The ALB’s DNS endpoint is sufficient to access the APIs directly.
If you’re exposing your microservices' APIs to external consumers (e.g., business partners, external apps), an API Gateway becomes essential. It provides:
While API Gateway offers these benefits, remember that it adds operational complexity and cost. 𝗜𝗳 𝘆𝗼𝘂 𝗱𝗼𝗻’𝘁 𝗻𝗲𝗲𝗱 𝗶𝘁, 𝗮𝘃𝗼𝗶𝗱 𝘂𝘀𝗶𝗻𝗴 𝗶𝘁 𝘂𝗻𝗻𝗲𝗰𝗲𝘀𝘀𝗮𝗿𝗶𝗹𝘆.
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DevOps & Cloud (AWS, AZURE, GCP) Tech Free Learning
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1. What is DevOps and why is it important?
2. Explain the difference between DevOps and Agile.
3. What are the key benefits of implementing DevOps?
4. What are the main components of a DevOps pipeline?
5. What is the role of CI/CD in DevOps?
6. How do you approach infrastructure as code (IaC)?
7. What are some common DevOps tools and their uses?
8. Explain the concept of "Shift Left" in DevOps.
9. What is the difference between CI & CD?
10. How do you handle version control in a DevOps environment?
11. What is a CI/CD pipeline?
12. How do you implement a CI/CD pipeline from scratch?
13. What are the common stages of a CI/CD pipeline?
14. How do you manage secrets in a CI/CD pipeline?
15. Explain the importance of automated testing in CI/CD.
16. How do you ensure that deployments are zero-downtime?
17. What tools do you use for CI/CD?
18. How do you handle rollbacks in CI/CD?
19. What is the purpose of artifact repositories in CI/CD?
20. How do you manage dependencies in a CI/CD pipeline?
21. What is Docker, and how does it work?
22. How do containers differ from virtual machines?
23. Explain the concept of Docker Compose.
24. What is Kubernetes, and why is it used?
25. How do you deploy a Kubernetes cluster?
26. What are Kubernetes Pods, and how do they work?
27. How do you manage Kubernetes secrets?
28. What are Kubernetes Ingress and Services?
29. How do you monitor and scale a Kubernetes cluster?
30. Explain the concept of service mesh in Kubernetes.
31. What is the difference between IaaS, PaaS, and SaaS?
32. Explain the concept of cloud formation and infrastructure as code.
33. How do you implement high availability in AWS?
34. What are the benefits of using cloud-native tools?
35. How do you manage cost optimization in cloud platforms?
36. Explain the concept of auto-scaling in AWS.
37. How do you secure a cloud environment?
38. What is the importance of tagging resources in the cloud?
39. How do you handle disaster recovery in the cloud?
40. What are the different storage options available in AWS?
41. What is the importance of monitoring in a DevOps environment?
42. How do you set up monitoring for your applications?
43. What tools do you use for monitoring and logging?
44. Explain the concept of observability.
45. How do you handle log aggregation and analysis?
46. What is the difference between metrics and logs?
47. How do you monitor the performance of a microservices architecture?
48. What is the role of alerting in monitoring?
49. How do you ensure the security of monitoring data?
50. What is the importance of tracing in a distributed system?
51. What is Infrastructure as Code (IaC)?
52. How do you implement IaC in your environment?
53. What tools do you use for IaC?
54. Explain the concept of immutable infrastructure.
55. How do you handle configuration management in IaC?
56. What are the challenges of implementing IaC?
57. How do you version control infrastructure code?
58. What is the importance of idempotency in IaC?
59. How do you test and validate IaC scripts?
60. How do you handle secrets management in IaC?
61. Why is automation important in DevOps?
62. How do you approach task automation in your projects?
63. What scripting languages do you use for automation?
64. How do you automate server provisioning and configuration?
65. What is the role of Ansible in automation?
66. How do you handle automation in a multi-cloud environment?
67. What are the benefits of using Terraform for automation?
68. How do you ensure the security of automation scripts?
69. How do you handle errors in automated workflows?
70. What is the importance of idempotency in automation?
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The repository contains hands-on DevOps projects suitable for individuals at various skill levels, ranging from beginner to advanced.
Projects in this repository showcase the integration of DevOps practices with other cutting-edge technologies such as Machine Learning, Git, GitHub, etc.
The projects included cover a wide array of topics within the DevOps domain, providing practical experience and insights into real-world scenarios.
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.
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𝐇𝐨𝐰 𝐂𝐈𝐂𝐃 𝐏𝐢𝐩𝐞𝐥𝐢𝐧𝐞 𝐰𝐨𝐫𝐤 𝐢𝐧 𝐀𝐖𝐒 ❗️
AWS DevOps and CI/CD pipelines are the driving force behind achieving agile development and seamless software delivery.
🔗 𝐖𝐡𝐚𝐭 𝐢𝐬 𝐂𝐈/𝐂𝐃 𝐰𝐢𝐭𝐡 𝐀𝐖𝐒❓
CI/CD, which stands for Continuous Integration and Continuous Deployment, is an automated approach that helps developers easily integrate code changes and deploy them to production. AWS offers a number of tools, including CodeCommit, CodeDeploy, and AWS CodePipeline, to guarantee that your software is always prepared for quick deployment with small updates.
🛠 𝐇𝐨𝐰 𝐃𝐨𝐞𝐬 𝐚 𝐂𝐈/𝐂𝐃 𝐏𝐢𝐩𝐞𝐥𝐢𝐧𝐞 𝐖𝐨𝐫𝐤 𝐨𝐧 𝐀𝐖𝐒❓
Continuous Integration (CI):
🎯 Developers create and commit code to AWS CodeCommit, a fully managed source control service.
🎯 AWS CodeBuild automatically compiles, tests, and packages the code to ensure everything is in place.
Continuous Deployment (CD):
🎯 Once the code passes the CI phase, AWS CodePipeline ensures it’s ready for deployment.
🎯 AWS CodeDeploy automatically deploys the code to the target environments, such as EC2, ECS, or Lambda.
⚙️ 𝐊𝐞𝐲 𝐂𝐨𝐦𝐩𝐨𝐧𝐞𝐧𝐭𝐬 𝐨𝐟 𝐚𝐧 𝐀𝐖𝐒 𝐂𝐈/𝐂𝐃 𝐏𝐢𝐩𝐞𝐥𝐢𝐧𝐞:
🔠 Source Control Management (SCM): AWS CodeCommit is used for version control and storing code in a secure, scalable Git-based repository.
🔠 Build Tools: AWS CodeBuild is a managed build service that compiles the source code, runs tests, and produces artifacts.
🔠 Artifact Repositories: Amazon S3 or AWS CodeArtifact is used for storing build artifacts, Docker images, and application binaries, ensuring they are readily available for deployment.
🔠 Deployment Tools: AWS CodeDeploy automates deployments to various services, including Amazon EC2 instances, ECS containers, and Lambda functions.
🔠 Testing Automation: AWS CodeBuild integrates with testing frameworks to run unit, integration, and end-to-end tests to maintain the quality and reliability of the code.
⭐️ 𝐁𝐞𝐧𝐞𝐟𝐢𝐭𝐬 𝐨𝐟 𝐀𝐖𝐒 𝐂𝐈/𝐂𝐃:
🔠 Faster Delivery: Smaller, frequent releases with CodePipeline accelerate feature updates and bug fixes.
🔠 Enhanced Collaboration: AWS DevOps promotes collaborative development, enabling developers to work on different features without conflict, leading to more effective and harmonious teamwork.
📱 𝐅𝐨𝐥𝐥𝐨𝐰 @prodevopsguy 𝐟𝐨𝐫 𝐦𝐨𝐫𝐞 𝐬𝐮𝐜𝐡 𝐜𝐨𝐧𝐭𝐞𝐧𝐭 𝐚𝐫𝐨𝐮𝐧𝐝 𝐜𝐥𝐨𝐮𝐝 & 𝐃𝐞𝐯𝐎𝐩𝐬!!! // 𝐉𝐨𝐢𝐧 𝐟𝐨𝐫 𝐃𝐞𝐯𝐎𝐩𝐬 𝐃𝐎𝐂𝐬: @devopsdocs
AWS DevOps and CI/CD pipelines are the driving force behind achieving agile development and seamless software delivery.
CI/CD, which stands for Continuous Integration and Continuous Deployment, is an automated approach that helps developers easily integrate code changes and deploy them to production. AWS offers a number of tools, including CodeCommit, CodeDeploy, and AWS CodePipeline, to guarantee that your software is always prepared for quick deployment with small updates.
Continuous Integration (CI):
Continuous Deployment (CD):
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