💎 Elevate Your Projects with CI/CD Excellence! 🌐✨


Let's understand some of the importance :

⏩ Catch bugs early: Frequent testing means bugs bye-bye before reaching users.

⏩ Deploy in a flash: New features go live in seconds, keeping users ✨ pumped.

⏩ Experiment safely: Break stuff try again, with instant rollbacks if needed.

⏩ Fewer errors, happier devs: More time to code and keep users .

⏩ Quality software: Reliable apps make everyone happy, from users to CEOs!


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

➡️Basic Terraform flow in CI-CD ♾ DevOps!


1. Developer: The developer writes both Terraform configuration files and application code.

2. Source Control: The developer commits the code changes to a local Git repository and then pushes these commits to a remote repository.

3. Static Code Analysis: Before triggering the CI/CD pipeline, a static code analysis tool like SonarQube scans the code for potential security vulnerabilities and code quality issues.

4. CI/CD Tool: The push to the remote repository triggers the CI/CD pipeline configured in Jenkins.

5. CI/CD tool: There are plenty of CI/CD tool available like CircleCI, GitHub Actions, ArgoCD and others.

6. Terraform Initialization: Jenkins runs the terraform init command to initialize the Terraform working directory, downloading the necessary provider plugins.

7. Infrastructure Planning: Jenkins executes terraform plan, which generates an execution plan. This plan shows what actions Terraform will take to achieve the desired state defined in the configuration files.

8. Infrastructure Application: Jenkins runs terraform apply to apply the planned changes. This step makes actual changes to the cloud infrastructure as defined in the Terraform configuration.

9. Infrastructure Deployment: The infrastructure is deployed to the specified cloud provider (e.g., AWS, Azure, GCP).

10. Infrastructure: The deployed resources (e.g., VMs, networks, storage) are now provisioned and ready for use.


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

⚡️ 70 Azure Important interview questions ranging from beginner to advanced levels:


⏩ Beginner Level
1. What is Microsoft Azure?
2. What are the key services provided by Azure?
3. What is an Azure Subscription?
4. What is Azure Virtual Machine (VM)?
5. Explain the concept of Azure Regions and Availability Zones.
6. What is Azure Resource Manager (ARM)?
7. What is an Azure Virtual Network (VNet)?
8. How does Azure Storage work?
9. What is Azure Blob Storage?
10. What is the difference between Azure Blob Storage and Azure File Storage?
11. What is Azure App Service?
12. How does Azure Load Balancer work?
13. What is Azure Active Directory (AD)?
14. What is Azure SQL Database?
15. What is Azure Cosmos DB?
16. How does Azure Monitor work?
17. What is Azure Functions?
18. What is Azure Logic Apps?
19. What are Resource Groups in Azure?
20. What is Azure Key Vault?
21. What is Azure DevOps?
22. What is Azure Kubernetes Service (AKS)?
23. What is Azure Service Bus?
24. How does Azure Backup work?
25. What is Azure VPN Gateway?
26. What are Azure Virtual Machines Scale Sets?
27. What is Azure Traffic Manager?
28. Explain Azure CDN (Content Delivery Network).
29. What is Azure Disk Encryption?
30. What is Azure Site Recovery?

⏩ Intermediate Level
31. How do you secure Azure resources?
32. What is the Azure Pricing Calculator?
33. How does Azure Policy work?
34. What are Azure Availability Sets?
35. Explain Azure Multi-Factor Authentication (MFA).
36. What is Azure ExpressRoute?
37. How do you set up Azure Networking?
38. What is Azure API Management?
39. What is the difference between Azure Functions and Azure Logic Apps?
40. What is Azure Application Gateway?
41. What are Azure Managed Disks?
42. Explain the concept of Azure B2B and B2C.
43. What is Azure Automation?
44. What is the difference between Azure AD and AD DS?
45. What is Azure Data Lake?
46. What is Azure Data Factory?
47. How does Azure Resource Manager (ARM) Templates work?
48. What is the difference between Azure SQL Database and SQL Server on Azure VM?
49. What is Azure Data Bricks?
50. Explain the Azure AD Conditional Access.
51. What is Azure Network Security Group (NSG)?
52. What is Azure Security Center?
53. How does Azure Storage Explorer work?
54. What is Azure Event Hubs?
55. Explain Azure Firewall.
56. What is Azure Blueprint?
57. What is Azure Application Insights?
58. What is the difference between Azure Table Storage and Azure Cosmos DB?
59. How do you implement high availability in Azure?
60. What are Azure Reservations?

⏩ Advanced Level
61. What is Azure Private Link?
62. What is Azure Synapse Analytics?
63. How do you manage compliance in Azure?
64. What is Azure Front Door?
65. Explain the use of Azure Bastion.
66. What are Azure Governance tools?
67. How does Azure Hybrid Benefit work?
68. What is Azure Sentinel?
69. How do you manage multi-tenant applications in Azure?
70. What are the best practices for securing an Azure environment?


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

➡️ 70 Important Google Cloud Platform (GCP) interview questions ranging from beginner to advanced levels:


➡️ Beginner Level
1. What is Google Cloud Platform (GCP)?
2. What are the key services offered by GCP?
3. What is Google Compute Engine?
4. What is Google Cloud Storage?
5. Explain the difference between Google Cloud Storage and Persistent Disks.
6. What is Google App Engine?
7. What are Google Cloud Regions and Zones?
8. What is Google Kubernetes Engine (GKE)?
9. What is Google Cloud IAM (Identity and Access Management)?
10. How does Google Cloud VPC work?
11. What is Google BigQuery?
12. What is Google Cloud Pub/Sub?
13. What is Google Cloud Functions?
14. Explain the concept of Preemptible VMs in GCP.
15. What is Google Cloud Datastore?
16. What is Google Cloud SQL?
17. How does Google Cloud Load Balancing work?
18. What is Google Cloud Spanner?
19. What is the Google Cloud Marketplace?
20. What is Google Cloud Memorystore?
21. What is Google Cloud Bigtable?
22. What is Google Cloud Endpoints?
23. What is Google Cloud Dataflow?
24. How does Google Cloud Monitoring work?
25. What is Google Cloud AutoML?
26. What is Google Cloud Run?
27. Explain the difference between Google App Engine and Google Cloud Functions.
28. What is Google Cloud Interconnect?
29. What is Google Cloud Armor?
30. What is Google Cloud Vision API?

➡️ Intermediate Level
31. How do you secure data in GCP?
32. What is the difference between Google Cloud SQL and Google Cloud Spanner?
33. What is Google Cloud Deployment Manager?
34. How does Google Cloud DNS work?
35. What is Google Cloud CDN?
36. Explain the concept of Google Cloud Firestore.
37. What is Google Cloud Composer?
38. What is the difference between Google Cloud Datastore and Google Cloud Firestore?
39. What is Google Cloud Data Fusion?
40. What is Google Cloud Resource Manager?
41. What is Google Cloud Operations Suite (formerly Stackdriver)?
42. What is Google Cloud VPN?
43. What is Google Cloud NAT?
44. Explain the concept of VPC peering in GCP.
45. What is Google Cloud Filestore?
46. How does Google Cloud Key Management Service (KMS) work?
47. What is Google Cloud Identity?
48. What is Google Cloud Healthcare API?
49. How do you manage access control in GCP?
50. What is Google Cloud Traffic Director?
51. What is Google Cloud Anthos?
52. What is Google Cloud Tasks?
53. Explain the concept of Google Cloud Secret Manager.
54. What is Google Cloud Transfer Service?
55. What is Google Cloud Apigee?
56. What is Google Cloud Data Labeling Service?
57. How does Google Cloud Profiler work?
58. What is the difference between Google Cloud SQL and Google BigQuery?
59. What is Google Cloud Logging?
60. What is Google Cloud Asset Inventory?

➡️ Advanced Level
61. What is the Google Cloud Shared VPC?
62. How do you implement CI/CD in GCP?
63. What is Google Cloud Service Directory?
64. What is the role of Google Cloud in machine learning?
65. What is Google Cloud Tensor Processing Unit (TPU)?
66. Explain the concept of multi-region deployments in GCP.
67. How do you optimize costs in GCP?
68. What is Google Cloud Private Catalog?
69. How do you manage hybrid cloud deployments with GCP?
70. What are the best practices for securing a GCP environment?


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

🚀 DevOps Project: Deploy a 3 Tier Architecture On AWS - End to End Project


Project Overview:
⚡️ Tier 1: Presentation Layer
✅ Create a web application using a framework like React, Angular, or Vue.js.
✅ Host the frontend on Amazon S3 or use AWS Amplify for a serverless frontend deployment.

⚡️ Tier 2: Application Layer
✅ Develop a server-side application using a technology like Node.js, Python, or Java.
✅ Deploy the application on AWS Elastic Beanstalk or AWS Lambda for serverless applications.
✅ Use Amazon API Gateway for creating RESTful APIs or AWS App Runner for containerized applications.

⚡️ Tier 3: Data Layer
✅ Choose a database solution like Amazon RDS (Relational Database Service), Amazon DynamoDB (NoSQL), or Amazon Aurora (MySQL/PostgreSQL).
✅ Configure database security groups and access controls.
✅ Ensure data backup and redundancy as per your application's needs.

Check for full details 👇

📱 Link: https://github.com/NotHarshhaa/DevOps-Projects/tree/master/DevOps-Project-01


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

🚀 Big Update to Project! 🚀

We've just rolled out a major update to the project, making it more detailed and user-friendly! Here's what's new:

🔹 Step-by-Step Instructions: Clear and detailed setup commands for AWS CLI, CloudWatch, SSM Agent, Maven, and more!

🔹 Expanded Pre-Requisites: Everything you need to get started, including AWS, GitHub, SonarCloud, and JFrog account setups.

🔹 Comprehensive Guide: From creating Global AMIs to deploying a scalable 3-tier architecture on AWS—every step is covered!

🔹 Maven Build Integration: Detailed instructions for building your Java application and integrating with SonarCloud.

🔹 Enhanced Validation & Monitoring: Added instructions for EC2 access, application validation, and setting up CloudWatch alarms.

Check it out and get your hands dirty with this hands-on DevOps project! 🌐

🔗 View the Updated README

If you find this helpful, don’t forget to ⭐️ the repo!

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

🔥 DevOps Project-19: From Scratch to Production: Deploying EKS Clusters and Applications with CI/CD using Jenkins and Terraform ♾


🔗 Project Link: HERE

🔄 Project Overview :-
- Streamlining EKS Deployment and CI/CD: A Step-by-Step Guide to Automating Application Delivery with Jenkins and Terraform
- In this project, I'll take you through the process of setting up an EKS cluster, deploying an application, and creating a CI/CD pipeline using Jenkins and Terraform.
- By the end of this project, you'll have a fully functional EKS cluster and a simple containerized application up and running, with a CI/CD pipeline that automates the entire process from code to production.


❤️‍🔥 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

➡️ 𝐃𝐨𝐜𝐤𝐞𝐫𝐟𝐢𝐥𝐞 𝐈𝐧𝐬𝐭𝐫𝐮𝐜𝐭𝐢𝐨𝐧𝐬:
- FROM: Sets the base image.
- RUN: Executes commands in the container.
- MAINTAINER: Identifies the image creator.
- LABEL: Adds metadata.
- ADD: Copies files (supports URLs).
- COPY: Copies files (no URLs).
- VOLUME: Creates a shared mount point.
- EXPOSE: Specifies listening port.
- WORKDIR: Sets the working directory.
- USER: Defines the user for processes.
- STOPSIGNAL: Specifies stop signal.
- ENTRYPOINT: Sets the start command.
- CMD: Sets the default command.
- ENV: Sets environment variables.

➡️ 𝐃𝐨𝐜𝐤𝐞𝐫 𝐑𝐮𝐧 𝐂𝐨𝐦𝐦𝐚𝐧𝐝𝐬:
- --name: Names the container.
- -v, --volume: Mounts a volume.
- --network: Connects to a network.
- -d, --detach: Runs in background.
- -i, --interactive: Keeps STDIN open.
- -t, --tty: Allocates a pseudo-TTY.
- --rm: Auto-removes container on exit.
- -e, --env: Sets environment variables.
- --restart: Sets restart policy.

➡️ 𝐂𝐨𝐫𝐞 𝐃𝐨𝐜𝐤𝐞𝐫 𝐂𝐨𝐧𝐜𝐞𝐩𝐭𝐬:
- Docker Image: Read-only snapshot of a container.
- Docker Container: Executable package with software and dependencies.
- Docker Client: Tool to interact with Docker.
- Docker Daemon: Service managing Docker objects.
- Docker Registry: Storage for Docker images.


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

🌟 25 Essential DevOps Real-Time Interview Questions 🌟

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?

💡 Tip: Be ready to discuss real-world scenarios and your hands-on experience with various DevOps tools and practices.

Good luck! 🍀


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

🌟 A Day in the Life of a DevOps Engineer 🌟


👨‍💻 Ever wondered what a DevOps Engineer does every day?Here’s a glimpse into their daily lifecycle:

1. Morning Standup Meeting:
- Participate in a daily scrum meeting to discuss progress, blockers, and plans for the day.

2. Code Review and Integration:
- Review code changes submitted by developers.
- Ensure seamless integration by merging code into the main branch.

3. CI/CD Pipeline Management:
- Monitor and manage Continuous Integration/Continuous Deployment pipelines.
- Fix any issues that arise in automated build and deployment processes.

4. Infrastructure as Code (IaC):
- Write and update scripts using tools like Terraform or CloudFormation.
- Provision and configure cloud resources programmatically.

5. Container Management:
- Build, test, and deploy Docker containers.
- Manage Kubernetes clusters for container orchestration.

6. Monitoring and Incident Response:
- Use tools like Prometheus and Grafana for system monitoring.
- Respond to alerts and troubleshoot issues to maintain system uptime.

7. Configuration Management:
- Automate configuration tasks with Ansible, Chef, or Puppet.
- Ensure consistency across development, testing, and production environments.

8. Collaboration and Communication:
- Work closely with developers, QA, and operations teams.
- Communicate effectively to resolve issues and implement new features.

9. Continuous Improvement:
- Analyze system performance and identify areas for improvement.
- Implement best practices for security, scalability, and efficiency.

10. Learning and Development:
- Stay updated with the latest tools, technologies, and industry trends.
- Participate in training sessions and attend webinars/conferences.

🔧 Being a DevOps Engineer is dynamic and challenging, requiring a mix of technical skills, problem-solving abilities, and collaboration.


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

➡️Useful Terraform commands along with brief explanations:- ❤️

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!!!

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✍️ CLI tool to validate configuration files using rules specified in YAML. The configuration files can be one of several formats: Terraform, JSON, YAML, with support for Kubernetes

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✍️ Tool that performs static code analysis of k8s object definitions. The output is list of recommendations of what you can improve to make the application more secure and resilient

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✍️ Tool for testing Helm charts that is used for linting and testing pull requests. It automatically detects charts changed against the target branch

👉 𝐊𝐥𝐢𝐧𝐭 (https://lnkd.in/gnFsWfkw)
✍️ Listens to changes in Kubernetes resources and runs linting rules against them. Alerts are published via Slack webhooks to a configurable channel

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✍️ Standalone tool that validates YAML manifests for syntax, semantics, conflicts, compliance and security best practices violations. Can be easily used during active development and integrated into hashtag#GitOps processes and CI/CD pipelines to validate changes toward live Kubernetes clusters


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