🚀 Top 15 CI/CD Integration Projects Every DevOps Engineer Should Know! 🚀

Boost your CI/CD workflows with these must-know integration projects. Enhance automation, streamline processes, and deliver quality software faster.


1. Jenkins + GitHub - Integrate Jenkins with GitHub for seamless CI/CD, automating builds and tests on every commit.

2. GitLab CI/CD + Kubernetes - Use GitLab’s CI/CD pipelines to deploy directly to Kubernetes clusters.

3. CircleCI + Docker - Combine CircleCI’s speed with Docker’s containerization for efficient, repeatable builds.

4. Travis CI + Heroku - Simplify deployment by integrating Travis CI with Heroku for quick app releases.

5. Bamboo + AWS - Deploy and scale applications using Bamboo integrated with AWS services.

6. TeamCity + Azure DevOps - Enhance your CI/CD pipelines with TeamCity integrated with Azure DevOps.

7. Drone + Gitea - A seamless combination for self-hosted CI/CD using Drone with the Gitea Git service.

8. Argo CD + Helm - Manage Kubernetes deployments using Argo CD integrated with Helm charts.

9. Spinnaker + Google Cloud - Deliver continuous deployments across multiple cloud environments with Spinnaker and Google Cloud.

10. Concourse + Vault - Secure your CI/CD pipelines by integrating Concourse with HashiCorp Vault.

11. Tekton + OpenShift - Use Tekton pipelines for CI/CD on Red Hat OpenShift to build, test, and deploy applications.

12. Azure Pipelines + Terraform - Automate infrastructure as code with Azure Pipelines and Terraform.

13. Bitbucket Pipelines + Jira - Track and manage your CI/CD workflows efficiently with Bitbucket Pipelines and Jira.

14. GoCD + ELK Stack - Monitor and analyze your CI/CD pipelines with GoCD integrated with the ELK (Elasticsearch, Logstash, Kibana) stack.

15. Buddy + Slack - Get real-time notifications and updates from Buddy CI/CD directly in your Slack channels.


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

📌 Let's learn the right tools in the right way.


🔵 𝗙𝗼𝗹𝗹𝗼𝘄 @prodevopsguy 𝗳𝗼𝗿 𝗺𝗼𝗿𝗲 𝘀𝘂𝗰𝗵 𝗰𝗼𝗻𝘁𝗲𝗻𝘁 𝗮𝗿𝗼𝘂𝗻𝗱 𝗰𝗹𝗼𝘂𝗱 & 𝗗𝗲𝘃𝗢𝗽𝘀!!!

⏩ Node failures can hurt a Kubernetes cluster very badly.

And here's a simple hack that can help.

🟢There's a tool called "Node Problem Detector" that monitors the health of nodes in a K8s cluster.

It runs on each node, if a problem is detected it can report to apiserver. Here are some issues it can detect:

🔴Physical hardware issues - Overheating CPU - Memory errors - Failing disks - Kernel issues.

Try it out. Positive approach powers progress. ❤️


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

✅Terraform commands used on a daily basis: ✨

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.


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

🐬 𝗗𝗼 𝘆𝗼𝘂 𝘂𝘀𝗲 𝗺𝘂𝗹𝘁𝗶-𝘀𝘁𝗮𝗴𝗲 𝗗𝗼𝗰𝗸𝗲𝗿𝗳𝗶𝗹𝗲 𝘆𝗼𝘂𝗿 𝗽𝗿𝗼𝗷𝗲𝗰𝘁 ?

𝐼𝑓 𝑦𝑜𝑢 ℎ𝑎𝑣𝑒 𝑎 𝑒𝑥𝑝𝑒𝑟𝑖𝑒𝑛𝑐𝑒 𝑖𝑛 𝑑𝑜𝑐𝑘𝑒𝑟𝑖𝑧𝑖𝑛𝑔 𝑦𝑜𝑢𝑟 𝑝𝑟𝑜𝑗𝑒𝑐𝑡𝑠, 𝑝𝑟𝑜𝑏𝑎𝑏𝑙𝑦 𝑦𝑜𝑢 ℎ𝑒𝑎𝑟 𝑎𝑏𝑜𝑢𝑡 𝑚𝑢𝑙𝑡𝑖-𝑠𝑡𝑎𝑔𝑒 𝑖𝑛 𝑑𝑜𝑐𝑘𝑒𝑟𝑖𝑧𝑒 𝑡ℎ𝑒 𝑎𝑝𝑝𝑙𝑖𝑐𝑎𝑡𝑖𝑜𝑛.

𝑡𝑜 𝑚𝑎𝑘𝑒 𝑠𝑡𝑜𝑟𝑦 𝑠ℎ𝑜𝑟𝑡, 𝑦𝑜𝑢 𝑐𝑎𝑛 𝑐𝑜𝑛𝑣𝑒𝑟𝑡 𝑎 𝑑𝑜𝑐𝑘𝑒𝑟 𝑓𝑖𝑙𝑒 𝑡𝑜 𝑎 𝑚𝑢𝑙𝑡𝑖-𝑠𝑡𝑎𝑔𝑒 𝑜𝑛𝑒 𝑤𝑖𝑡ℎ 𝑖𝑛𝑐𝑙𝑢𝑑𝑖𝑛𝑔 "𝐹𝑅𝑂𝑀 ..." 𝑠𝑡𝑎𝑡𝑒𝑚𝑒𝑛𝑡𝑠 𝑡𝑜 𝑦𝑜𝑢𝑟 𝑓𝑖𝑙𝑒.
𝑏𝑦 𝑎𝑑𝑑𝑖𝑛𝑔 𝑡ℎ𝑖𝑠, 𝑒𝑎𝑐ℎ "𝐹𝑅𝑂𝑀" 𝑠𝑡𝑎𝑡𝑒𝑚𝑒𝑛𝑡 𝑏𝑒𝑔𝑖𝑛𝑠 𝑎 𝑛𝑒𝑤 𝑠𝑡𝑎𝑔𝑒 𝑜𝑓 𝑡ℎ𝑒 𝑏𝑢𝑖𝑙𝑑.
𝑦𝑜𝑢 𝑐𝑎𝑛 𝑐𝑜𝑝𝑦 𝑤ℎ𝑎𝑡 𝑦𝑜𝑢 𝑛𝑒𝑒𝑑 𝑓𝑟𝑜𝑚 𝑜𝑛𝑒 𝑠𝑡𝑎𝑔𝑒 𝑡𝑜 𝑎𝑛𝑜𝑡ℎ𝑒𝑟 𝑎𝑛𝑑 𝑙𝑒𝑎𝑣𝑒 𝑒𝑣𝑒𝑟𝑦𝑡ℎ𝑖𝑛𝑔 𝑡ℎ𝑎𝑡 𝑦𝑜𝑢 𝑑𝑜𝑛'𝑡 𝑛𝑒𝑒𝑑 𝑖𝑛 𝑡ℎ𝑒 𝑓𝑖𝑛𝑎𝑙 𝑖𝑚𝑎𝑔𝑒.

➡️ 𝗔𝗱𝘃𝗮𝗻𝘁𝗮𝗴𝗲𝗼𝘂𝘀:
- 𝐎𝐩𝐭𝐢𝐦𝐢𝐳𝐞𝐝 𝐈𝐦𝐚𝐠𝐞 𝐒𝐢𝐳𝐞
- 𝐒𝐢𝐦𝐩𝐥𝐢𝐟𝐢𝐞𝐝 𝐁𝐮𝐢𝐥𝐝 𝐏𝐫𝐨𝐜𝐞𝐬𝐬
- 𝐏𝐚𝐫𝐚𝐥𝐥𝐞𝐥 𝐁𝐮𝐢𝐥𝐝 𝐒𝐭𝐞𝐩𝐬
- 𝐔𝐬𝐞 𝐨𝐟 𝐄𝐱𝐭𝐞𝐫𝐧𝐚𝐥 𝐈𝐦𝐚𝐠𝐞𝐬

𝑓𝑜𝑟 𝑚𝑜𝑟𝑒 𝑖𝑛𝑓𝑜, 𝑦𝑜𝑢 𝑐𝑎𝑛 𝑐ℎ𝑒𝑐𝑘 𝑡ℎ𝑖𝑠 𝑙𝑖𝑛𝑘:
🖥 https://prodevopsguy.site/multi-stage-dockerfiles-for-production


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

💡 Kubernetes vs Docker: What's The Difference?

➡️Docker and Kubernetes are the most common names that one might hear in the field of container technology.

➡️Docker is a runtime and containerization platform that was first introduced in 2013 and brought about a microservices-based computing model.

➡️Kubernetes is a platform that manages and runs containers from multiple container runtimes and supports various container runtimes, including Docker.


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

🛠 Essential AWS CLI Commands for DevOps Engineers 🛠


📌 Setup and Configuration:

# Install AWS CLI
pip install awscli

# Configure AWS CLI
aws configure

📌 IAM:

# List IAM users
aws iam list-users

# Create IAM user
aws iam create-user --user-name <username>

# Attach policy to IAM user
aws iam attach-user-policy --user-name <username> --policy-arn arn:aws:iam::aws:policy/<policy-name>

📌 EC2:

# List all EC2 instances
aws ec2 describe-instances

# Start an EC2 instance
aws ec2 start-instances --instance-ids <instance-id>

# Stop an EC2 instance
aws ec2 stop-instances --instance-ids <instance-id>

📌 S3:

# List all S3 buckets
aws s3 ls

# Upload file to S3 bucket
aws s3 cp <file-path> s3://<bucket-name>/<file-key>

# Download file from S3 bucket
aws s3 cp s3://<bucket-name>/<file-key> <file-path>

📌 RDS:

# List RDS instances
aws rds describe-db-instances

# Start RDS instance
aws rds start-db-instance --db-instance-identifier <instance-id>

# Stop RDS instance
aws rds stop-db-instance --db-instance-identifier <instance-id>

📌 CloudWatch:

# List CloudWatch log groups
aws logs describe-log-groups

# Create CloudWatch log group
aws logs create-log-group --log-group-name <log-group-name>

📌 Elastic Beanstalk:

# List Elastic Beanstalk environments
aws elasticbeanstalk describe-environments

# Update environment to new version
aws elasticbeanstalk update-environment --environment-name <env-name> --version-label <version-label>

📌 CloudFormation:

# List CloudFormation stacks
aws cloudformation describe-stacks

# Create CloudFormation stack
aws cloudformation create-stack --stack-name <stack-name> --template-body file://<template-file>

# Update CloudFormation stack
aws cloudformation update-stack --stack-name <stack-name> --template-body file://<template-file>

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

🛠 Comprehensive Guide to Cloud-Native CI/CD Pipelines 🚀

We are excited to share latest comprehensive guide on building Cloud-Native CI/CD Pipelines. This guide covers everything you need to know to automate your software integration and deployment processes efficiently.

🔗 Read the full article here: https://cloud.prodevopsguy.xyz/comprehensive-guide-to-cloud-native-cicd-pipelines

In this article, you'll learn about:
- 🛠 Core Components of CI/CD Pipelines
- 🔧 Choosing the Right CI/CD Tools
- ☁️ Setting Up Your Cloud Environment
- ♾ Building the CI Pipeline
- 📦 Building the CD Pipeline
- 🔒 Security Best Practices
- 📊 Monitoring and Logging

Don't miss out on these essential insights to enhance your CI/CD workflows! 💡

Happy reading and coding! 💻


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

➡️ Let's compare Azure and AWS to help you decide which one might be better for beginners:

1. Market Share:
➡️Azure: Holds a 24% share of the worldwide market.
➡️AWS: Has a 31% share of the global computing market[1].

2. Availability Zones:
➡️Azure: Offers 140 availability zones.
➡️AWS: Provides 105 availability zones[1].

3. Storage Services:
➡️Azure:
Blob Storage
Containers
Azure Drive
Table Storage

➡️AWS:
S3 Buckets
EBS (Elastic Block Store)
SDB domains
DynamoDB

4. Networking Services:
➡️Azure:
Virtual Network
Azure Connect
Balancing Endpoints

➡️AWS:
Virtual Private Cloud (VPC)
Route 53
ELB (Elastic Load Balancing)

5. Security and Permissions:
➡️Azure: Offers permissions on the whole account.
➡️AWS: Provides security using defined roles with permission control features.

6. Ease of Use:
➡️Azure: Generally user-friendly.
➡️AWS: Offers a diverse toolkit but can be overwhelming for beginners.

7. Deployment Services:
➡️Azure: Uses \.cspkg (fancy zip file) or uploads via portal/API.
➡️AWS: Supports various deployment models, including Elastic Beanstalk and CloudFormation.

8. Pricing Models:
➡️Azure: Free trial, pay per minute.
➡️AWS: Free tier, pay per hour (rounded up).

9. Popularity and Applications:
➡️Azure is known for seamless Windows integration.
➡️AWS is widely used and trusted by companies like Adobe, Airbnb, and Netflix[1].

10. Overall:
➡️ Azure excels in Platform-as-a-Service (PaaS) and Windows integration.
➡️ AWS offers robust Infrastructure-as-a-Service (IaaS) and a diverse toolkit.
➡️Both platforms are near equals in most use cases[2]

In summary, both Azure and AWS have their strengths. For beginners, Azure might be more approachable due to its user-friendliness, while AWS provides a vast ecosystem of services. Consider your specific needs and preferences when choosing between them! 🌐🚀[1] [2].

➡️Reference links: [1] [2] [3]


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

📢 DevOps Project-24: Real-Time DevSecOps Pipeline with Jenkins for a Dot Net Web App


🔗 Project Link: HERE

📶 Project Overview :-
We will be deploying a .NET-based application. This is an everyday use case scenario used by several organizations. We will be using Jenkins as a CICD tool and deploying our application on a Docker Container and Kubernetes cluster.

This project shows the detailed metric i.e. CPU Performance of our instance where this project is launched.


❤️‍🔥 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

🛠 Essential Azure CLI Commands for DevOps Engineers 🛠


📌 Setup and Configuration:

# Install Azure CLI
curl -sL https://aka.ms/InstallAzureCLIDeb | sudo bash

# Login to Azure
az login

# Set default subscription
az account set --subscription <subscription-id>

📌 Resource Groups:

# List resource groups
az group list

# Create resource group
az group create --name <resource-group-name> --location <location>

# Delete resource group
az group delete --name <resource-group-name> --yes --no-wait

📌 VM Management:

# List VMs
az vm list

# Create VM
az vm create --resource-group <resource-group-name> --name <vm-name> --image <image> --admin-username <username> --admin-password <password>

# Start VM
az vm start --resource-group <resource-group-name> --name <vm-name>

# Stop VM
az vm stop --resource-group <resource-group-name> --name <vm-name>

📌 Storage Accounts:

# List storage accounts
az storage account list

# Create storage account
az storage account create --name <account-name> --resource-group <resource-group-name> --location <location> --sku <sku>

# Delete storage account
az storage account delete --name <account-name> --resource-group <resource-group-name>

📌 Azure Kubernetes Service (AKS):

# List AKS clusters
az aks list

# Create AKS cluster
az aks create --resource-group <resource-group-name> --name <cluster-name> --node-count <node-count> --enable-addons monitoring --generate-ssh-keys

# Get AKS credentials
az aks get-credentials --resource-group <resource-group-name> --name <cluster-name>

📌 App Services:

# List App Services
az webapp list

# Create App Service
az webapp create --resource-group <resource-group-name> --plan <app-service-plan> --name <app-name> --runtime <runtime>

# Delete App Service
az webapp delete --resource-group <resource-group-name> --name <app-name>

📌 Azure DevOps:

# List Azure DevOps organizations
az devops organization list

# Create Azure DevOps project
az devops project create --name <project-name> --organization <organization-url>

# List Azure DevOps pipelines
az pipelines list --organization <organization-url> --project <project-name>

# Run Azure DevOps pipeline
az pipelines run --name <pipeline-name> --organization <organization-url> --project <project-name>

📌 Azure Monitor:

# List monitor activity logs
az monitor activity-log list

# Create alert rule
az monitor metrics alert create --name <alert-name> --resource-group <resource-group-name> --scopes <resource-id> --condition "<condition>" --action <action-group-id>

🔗 For more detailed commands and options, refer to the Azure CLI Command Reference


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

⛈ Knowing these 20 AWS ☁️ services makes you an AWS DevOps expert!

⏩Infra as code
- AWS CloudFormation
- AWS CDK

⏩Monitoring & Logging
- AWS CloudWatch
- AWS CloudTrail

⏩CI/CD
- AWS CodePipeline
- AWS CodeBuild
- AWS CodeDeploy

⏩Configuration Management
- AWS Systems Manager
- AWS OpsWorks

⏩Security
- AWS IAM
- AWS KMS

⏩Networking
- AWS VPC
- AWS Direct Connect

⏩Containers
- AWS ECS
- AWS ECR
- AWS EKS

⏩Serverless
- AWS Lambdas
- AWS API Gateway

⏩Databases
- AWS RDS
- AWS DynamoDB


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

🎉 Big Thanks from the ProDevOpsGuy Tech Community! 🎉

We’ve hit a milestone of 10,000 members! 🚀

We are incredibly grateful for each one of you who has joined our journey towards mastering DevOps and Cloud technologies.

⏩ On this channel, you’ll continue to get:

📈 Daily Trending DevOps/Cloud Blogs
📜 All Cloud Related Code & Scripts
💼 DevOps/Cloud Job Posts
🗂 Real-time Interview Questions & Preparation Guides

Your support and engagement make all the difference. Here’s to many more milestones together! 🌟

Stay tuned for more top-notch content and let’s keep growing! 💪


Join our Official Social Networks :
📱 Telegram // 📱 WhatsApp // 📱 GitHub // 📱 Instagram // 📱 Website


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

DevOps ♾ Integration Flow 💡

It refers to the set of practices, tools, and pipelines that improve the collaboration between software development and IT operations.

The goal is to shorten the system development life cycle and provide continuous delivery of high-quality software.

Here are the elements of the integration flows in a DevOps environment:

> Source Code Management
> Continuous Integration
> Configuration Management
> Containerization
> Continuous Deployment/Delivery
> Monitoring & Logging
> Feedback Loop

Elements in the image:

✅ Code Commit - Once the developers finish their code, they commit these changes to GitHub

✅ GitHub - GitHub is a Git repository hosting service, that allows developers to store code changes centrally

✅ CICD - When a change is made in GitHub, this process triggers Jenkins

✅ Jenkins - This is a tool used for automated continuous integration and continuous delivery

✅ Jenkins File - This file specifies what kind of operations Jenkins will carry out

✅ Build - Jenkins compiles (or "builds") the code that developers uploaded

✅ Maven - This is a build tool used for Java projects, handling dependency management

✅ Build Docker Image - A runnable Docker image of the application is created

✅ Push to Docker Hub - The Docker image that was created is pushed to an image repository service like Docker Hub

✅ Docker - Docker is a platform used for running applications in containers

This workflow represents a common structure found in modern software development practices and provides a good model for CI and CD.

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

Docker 🐬 🆚 Kubernetes ☸️

While Docker simplifies the containerization process, managing a fleet of containers at scale requires a robust orchestration platform like Kubernetes. Kubernetes automates container deployment, scaling, and management, allowing you to focus on building your applications without worrying about infrastructure complexities.

Docker and Kubernetes are complementary technologies that together form a powerful ecosystem for building, deploying, and managing modern applications. Whether you’re a developer looking to streamline your development workflow with Docker or an operations engineer seeking to orchestrate containerized workloads at scale with Kubernetes, embracing these technologies can propel your organization towards greater agility, scalability, and innovation in the ever-evolving world of software development.


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

📢 𝗞𝘂𝗯𝗲𝗿𝗻𝗲𝘁𝗲𝘀 𝗖𝗿𝗮𝘀𝗵𝗟𝗼𝗼𝗽𝗕𝗮𝗰𝗸𝗢𝗳𝗳 𝗲𝗿𝗿𝗼𝗿 𝗪𝗵𝗮𝘁 𝗶𝘀 𝗶𝘁 & 𝗵𝗼𝘄 𝘁𝗼 𝗳𝗶𝘅 𝗶𝘁?

🔣𝐂𝐫𝐚𝐬𝐡𝐋𝐨𝐨𝐩𝐁𝐚𝐜𝐤𝐨𝐟𝐟 is an error state that occurs when a Pod fails to start, K8s tries to restart it, it fails again and this cycle continues. This usually means that a deeper problem is consistently causing your Pod to crash upon startup.

You can easily detect if your Pod is experiencing this error. Run “𝐤𝐮𝐛𝐞𝐜𝐭𝐥 𝐠𝐞𝐭 𝐩𝐨𝐝𝐬”. The faulty Pod’s status is “𝐂𝐫𝐚𝐬𝐡𝐋𝐨𝐨𝐩𝐁𝐚𝐜𝐤𝐨𝐟𝐟 ”.

🔣𝗛𝗼𝘄 𝗱𝗼 𝗜 𝗳𝗶𝘅 𝘁𝗵𝗶𝘀?

1️⃣ 𝐂𝐡𝐞𝐜𝐤 𝐭𝐡𝐞 𝐥𝐨𝐠𝐬
Use “𝑘𝑢𝑏𝑒𝑐𝑡𝑙 𝑙𝑜𝑔𝑠 <𝑝𝑜𝑑-𝑛𝑎𝑚𝑒>” to know what’s actually going on inside your pod’s container(s). Most likely this will reveal why your app is unable to start.

⚡️ 𝐄𝐧𝐬𝐮𝐫𝐞 𝐬𝐮𝐟𝐟𝐢𝐜𝐢𝐞𝐧𝐭 𝐫𝐞𝐬𝐨𝐮𝐫𝐜𝐞𝐬
Insufficient CPU/Memory can cause pods to crash. Set appropriate resource limits and deploy on Nodes that can actually provide a sufficient amount.

⚡️ 𝐂𝐡𝐞𝐜𝐤 𝐟𝐨𝐫 𝐈𝐦𝐚𝐠𝐞 𝐢𝐬𝐬𝐮𝐞𝐬
Often, the container image you specified does not exist or is in a private repository and your authentication is misconfigured. K8s can never pull the image to run in such cases.

⚡️ 𝐂𝐡𝐞𝐜𝐤 𝐟𝐨𝐫 𝐚𝐩𝐩 𝐜𝐨𝐧𝐟𝐢𝐠𝐮𝐫𝐚𝐭𝐢𝐨𝐧 𝐢𝐬𝐬𝐮𝐞𝐬
Check the environment variables, config files and secrets supplied to your application. Depending on the environment (prod, dev, etc), you should be supplying the right set.

5️⃣ 𝐂𝐡𝐞𝐜𝐤 𝐟𝐨𝐫 𝐕𝐨𝐥𝐮𝐦𝐞 𝐦𝐨𝐮𝐧𝐭 𝐢𝐬𝐬𝐮𝐞𝐬
Pods can crash if they don’t get the persistent volumes they require.


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

🐬 Docker Workflow

It all starts with a developer. They write and test the application's code and define the necessary dependencies and libraries that the application needs to run.

1⃣ Dockerfile: A text document that tells 🐬 how to build and run your application. It defines the environment, dependencies, and runtime parameters using commands like FROM, RUN, COPY, etc.

🔢 Docker Image: Built from the Dockerfile, it's a static snapshot of the application and its environment. This image allows the application to run on any 🐬 platform.

🔢 Docker Container: When Docker Images are run, they create isolated instances known as containers. Each container runs the application in the same way, regardless of the environment.

🔢 Docker Hub: A cloud service to store, share, and manage Docker images. Developers upload their own images, download others', and collaborate on shared images.

This workflow:

➡️ Developer writes the application code
➡️ Dockerfile is prepared with build instructions
➡️ Docker Image is created, encapsulating the application and its dependencies
➡️ Image is used to run Docker Containers for testing or shared on Docker Hub
➡️ Others pull and run the image on their own systems or in production

This process streamlines development and deployment across different environments. 📱

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