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While CICD gets thrown around a lot, it actually refers to two separate practices that work together in the software development lifecycle: Continuous Integration (CI) and Continuous Delivery/Deployment (CD).
Here's a quick breakdown:
Here's the key difference:
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DevOps & Cloud (AWS, AZURE, GCP) Tech Free Learning
Thanks
ProDevOpsGuy Tech Team
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In this way, the process that starts with a developer 'pushing' code to GitHub goes through stages of automated webhook triggering, continuous delivery,
Docker image creation, and container deployment.
All these steps are automated to minimize manual errors and speed up the process.
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Istio is a powerful service mesh that helps manage and secure microservices.
Here are the core components that make it all happen:
- Citadel: It handles security and provides authentication, and encryption for services. It managed certificate generation as well.
- Pilot: It is responsible for traffic management and routing. It works as a service discovery for the mesh.
- Galley: It is responsible for configuration management and distribution. It validates configuration files.
With these components working together, Istio simplifies the complex world of microservices, giving you better control, traffic management, service discovery, health check, load balancing, security, and observability.
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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.
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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.
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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.
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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.
- 𝐎𝐩𝐭𝐢𝐦𝐢𝐳𝐞𝐝 𝐈𝐦𝐚𝐠𝐞 𝐒𝐢𝐳𝐞
- 𝐒𝐢𝐦𝐩𝐥𝐢𝐟𝐢𝐞𝐝 𝐁𝐮𝐢𝐥𝐝 𝐏𝐫𝐨𝐜𝐞𝐬𝐬
- 𝐏𝐚𝐫𝐚𝐥𝐥𝐞𝐥 𝐁𝐮𝐢𝐥𝐝 𝐒𝐭𝐞𝐩𝐬
- 𝐔𝐬𝐞 𝐨𝐟 𝐄𝐱𝐭𝐞𝐫𝐧𝐚𝐥 𝐈𝐦𝐚𝐠𝐞𝐬
𝑓𝑜𝑟 𝑚𝑜𝑟𝑒 𝑖𝑛𝑓𝑜, 𝑦𝑜𝑢 𝑐𝑎𝑛 𝑐ℎ𝑒𝑐𝑘 𝑡ℎ𝑖𝑠 𝑙𝑖𝑛𝑘:
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# Install AWS CLI
pip install awscli
# Configure AWS CLI
aws configure
# 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>
# 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>
# 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>
# 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>
# List CloudWatch log groups
aws logs describe-log-groups
# Create CloudWatch log group
aws logs create-log-group --log-group-name <log-group-name>
# 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>
# 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>
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Cloud Community By ProDevOpsGuy Tech
🛠️ Comprehensive Guide to Cloud-Native CI/CD Pipelines 🚀
Continuous Integration and Continuous Deployment (CI/CD) pipelines are essential for modern software development, enabling faster and more reliable code delivery. This guide will walk you through the key components, tools, and best practices for buil...
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.
In this article, you'll learn about:
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Don't miss out on these essential insights to enhance your CI/CD workflows!
Happy reading and coding!
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1. Market Share:
2. Availability Zones:
3. Storage Services:
Blob Storage
Containers
Azure Drive
Table Storage
S3 Buckets
EBS (Elastic Block Store)
SDB domains
DynamoDB
4. Networking Services:
Virtual Network
Azure Connect
Balancing Endpoints
Virtual Private Cloud (VPC)
Route 53
ELB (Elastic Load Balancing)
5. Security and Permissions:
6. Ease of Use:
7. Deployment Services:
\.cspkg (fancy zip file) or uploads via portal/API.8. Pricing Models:
9. Popularity and Applications:
10. Overall:
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!
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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.
📣 Note: Fork this Repository🧑💻 for upcoming future projects, Every week releases new Project.
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