DevOps & Cloud (AWS, AZURE, GCP) Tech Free Learning
20. How do you manage dependencies in a CI/CD pipeline?
- Use dependency management tools like Maven, Gradle, or NPM and ensure dependencies are properly versioned and stored in artifact repositories.
💘 Containerization & Orchestration
21. What is Docker, and how does it work?
- Docker is a containerization tool that packages applications and their dependencies into containers, ensuring they run consistently across different environments.
22. How do containers differ from virtual machines?
- Containers are lightweight and share the host OS kernel, whereas VMs are heavier, with their own OS and kernel.
23. Explain the concept of Docker Compose.
- Docker Compose is a tool for defining and running multi-container Docker applications using a YAML file.
24. What is Kubernetes, and why is it used?
- Kubernetes is a container orchestration platform that automates the deployment, scaling, and management of containerized applications.
25. How do you deploy a Kubernetes cluster?
- You can deploy a Kubernetes cluster using kubectl, kops, eksctl, or managed services like Amazon EKS, Google GKE, or Azure AKS.
26. What are Kubernetes Pods, and how do they work?
- A Pod is the smallest unit in Kubernetes that encapsulates one or more containers. Pods are scheduled and run on nodes within a cluster.
27. How do you manage Kubernetes secrets?
- Use Kubernetes Secrets to store sensitive data, such as passwords and API keys, and inject them into Pods as environment variables or files.
28. What are Kubernetes Ingress and Services?
- Ingress manages external access to services, usually HTTP, while Services expose Pods internally or externally, ensuring connectivity.
29. How do you monitor and scale a Kubernetes cluster?
- Use tools like Prometheus, Grafana, and Kubernetes HPA (Horizontal Pod Autoscaler) for monitoring and scaling.
30. Explain the concept of service mesh in Kubernetes.
- A service mesh (e.g., Istio) manages microservices communication, providing features like load balancing, service discovery, and security.
💘 Cloud Platforms
31. What is the difference between IaaS, PaaS, and SaaS?
- IaaS provides virtualized computing resources (e.g., AWS EC2), PaaS offers development platforms (e.g., AWS Elastic Beanstalk), and SaaS delivers software as a service (e.g., Gmail).
32. Explain the concept of cloud formation and infrastructure as code.
- CloudFormation is an AWS service that enables you to model and provision AWS infrastructure as code (IaC).
33. How do you implement high availability in AWS?
- Use services like AWS Auto Scaling, Elastic Load Balancer, and deploy across multiple availability zones.
34. What are the benefits of using cloud-native tools?
- Cloud-native tools offer better scalability, cost-efficiency, and integration with cloud services, resulting in faster development and deployment.
35. How do you manage cost optimization in cloud platforms?
- Use tools like AWS Cost Explorer, set budget alerts, and implement auto-scaling and rightsizing to optimize cloud costs.
36. Explain the concept of auto-scaling in AWS.
- Auto-scaling automatically adjusts the number of instances based on demand, ensuring high availability and cost efficiency.
37. How do you secure a cloud environment?
- Use practices like IAM roles, encryption, security groups, and network segmentation.
38. What is the importance of tagging resources in the cloud?
- Tagging helps with resource organization, cost allocation, and efficient management of cloud assets.
39. How do you handle disaster recovery in the cloud?
- Use strategies like backup and restore, pilot light, warm standby, and multi-region deployments.
40. What are the different storage options available in AWS?
- S3 for object storage, EBS for block storage, EFS for file storage, and Glacier for archival.
- Use dependency management tools like Maven, Gradle, or NPM and ensure dependencies are properly versioned and stored in artifact repositories.
21. What is Docker, and how does it work?
- Docker is a containerization tool that packages applications and their dependencies into containers, ensuring they run consistently across different environments.
22. How do containers differ from virtual machines?
- Containers are lightweight and share the host OS kernel, whereas VMs are heavier, with their own OS and kernel.
23. Explain the concept of Docker Compose.
- Docker Compose is a tool for defining and running multi-container Docker applications using a YAML file.
24. What is Kubernetes, and why is it used?
- Kubernetes is a container orchestration platform that automates the deployment, scaling, and management of containerized applications.
25. How do you deploy a Kubernetes cluster?
- You can deploy a Kubernetes cluster using kubectl, kops, eksctl, or managed services like Amazon EKS, Google GKE, or Azure AKS.
26. What are Kubernetes Pods, and how do they work?
- A Pod is the smallest unit in Kubernetes that encapsulates one or more containers. Pods are scheduled and run on nodes within a cluster.
27. How do you manage Kubernetes secrets?
- Use Kubernetes Secrets to store sensitive data, such as passwords and API keys, and inject them into Pods as environment variables or files.
28. What are Kubernetes Ingress and Services?
- Ingress manages external access to services, usually HTTP, while Services expose Pods internally or externally, ensuring connectivity.
29. How do you monitor and scale a Kubernetes cluster?
- Use tools like Prometheus, Grafana, and Kubernetes HPA (Horizontal Pod Autoscaler) for monitoring and scaling.
30. Explain the concept of service mesh in Kubernetes.
- A service mesh (e.g., Istio) manages microservices communication, providing features like load balancing, service discovery, and security.
31. What is the difference between IaaS, PaaS, and SaaS?
- IaaS provides virtualized computing resources (e.g., AWS EC2), PaaS offers development platforms (e.g., AWS Elastic Beanstalk), and SaaS delivers software as a service (e.g., Gmail).
32. Explain the concept of cloud formation and infrastructure as code.
- CloudFormation is an AWS service that enables you to model and provision AWS infrastructure as code (IaC).
33. How do you implement high availability in AWS?
- Use services like AWS Auto Scaling, Elastic Load Balancer, and deploy across multiple availability zones.
34. What are the benefits of using cloud-native tools?
- Cloud-native tools offer better scalability, cost-efficiency, and integration with cloud services, resulting in faster development and deployment.
35. How do you manage cost optimization in cloud platforms?
- Use tools like AWS Cost Explorer, set budget alerts, and implement auto-scaling and rightsizing to optimize cloud costs.
36. Explain the concept of auto-scaling in AWS.
- Auto-scaling automatically adjusts the number of instances based on demand, ensuring high availability and cost efficiency.
37. How do you secure a cloud environment?
- Use practices like IAM roles, encryption, security groups, and network segmentation.
38. What is the importance of tagging resources in the cloud?
- Tagging helps with resource organization, cost allocation, and efficient management of cloud assets.
39. How do you handle disaster recovery in the cloud?
- Use strategies like backup and restore, pilot light, warm standby, and multi-region deployments.
40. What are the different storage options available in AWS?
- S3 for object storage, EBS for block storage, EFS for file storage, and Glacier for archival.
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DevOps & Cloud (AWS, AZURE, GCP) Tech Free Learning
41. What is the importance of monitoring in a DevOps environment?
- Monitoring ensures system reliability, performance, and the ability to identify and resolve issues before they impact users.
42. How do you set up monitoring for your applications?
- Use tools like Prometheus, Grafana, Datadog, or AWS CloudWatch to collect and visualize metrics.
43. What tools do you use for monitoring and logging?
- Prometheus, ELK Stack (Elasticsearch, Logstash, Kibana), Grafana, Datadog, AWS CloudWatch.
44. Explain the concept of observability.
- Observability focuses on the ability to understand system behavior through data like logs, metrics, and traces, helping to diagnose issues.
45. How do you handle log aggregation and analysis?
- Use tools like Logstash or Fluentd to aggregate logs and Elasticsearch or Splunk for analysis.
46. What is the difference between metrics and logs?
- Metrics are numerical data points about system performance (e.g., CPU usage), while logs are detailed records of system events.
47. How do you monitor the performance of a microservices architecture?
- Use distributed tracing tools like Jaeger or Zipkin, and monitor using Prometheus and Grafana.
48. What is the role of alerting in monitoring?
- Alerting notifies teams of system issues or breaches in performance thresholds, enabling prompt response.
49. How do you ensure the security of monitoring data?
- Use encryption, access control, and secure transport protocols (TLS) for monitoring data.
50. What is the importance of tracing in a distributed system?
- Tracing helps track requests across microservices, making it easier to identify performance bottlenecks and issues.
51. What is Infrastructure as Code (IaC)?
- IaC is the practice of managing and provisioning infrastructure through code, enabling versioning and repeatability.
52. How do you implement IaC in your environment?
- Use tools like Terraform, AWS CloudFormation, or Ansible to define and manage infrastructure declaratively.
53. What tools do you use for IaC?
- Terraform, AWS CloudFormation, Ansible, Puppet, Chef.
54. Explain the concept of immutable infrastructure.
- In immutable infrastructure, once a server is deployed, it is never modified; instead, new versions are created and deployed.
55. How do you handle configuration management in IaC?
- Use tools like Ansible or Puppet to automate configuration management.
56. What are the challenges of implementing IaC?
- Challenges include handling infrastructure drift, managing secrets securely, and ensuring collaboration between teams.
57. How do you version control infrastructure code?
- Use Git to track changes, manage branches, and collaborate on infrastructure code.
58. What is the importance of idempotency in IaC?
- Idempotency ensures that applying infrastructure code multiple times has the same effect, reducing unintended changes.
59. How do you test and validate IaC scripts?
- Use tools like Terratest or InSpec to test infrastructure code before deployment.
60. How do you handle secrets management in IaC?
- Use tools like HashiCorp Vault, AWS Secrets Manager, or Kubernetes Secrets for secure secrets management.
61. Why is automation important in DevOps?
- Automation reduces human error, accelerates deployment, and ensures consistency across environments.
62. How do you approach task automation in your projects?
- Identify repetitive tasks and use tools like Ansible, Terraform, or custom scripts to automate them.
63. What scripting languages do you use for automation?
- Bash, Python, PowerShell, and Groovy for Jenkins pipelines.
64. How do you automate server provisioning and configuration?
- Use tools like Ansible, Chef, or Terraform to automate provisioning and configuration.
65. What is the role of Ansible in automation?
- Ansible automates IT tasks like configuration management, application deployment, and infrastructure orchestration.
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DevOps & Cloud (AWS, AZURE, GCP) Tech Free Learning
66. How do you handle automation in a multi-cloud environment?
- Use cloud-agnostic tools like Terraform to manage and automate infrastructure across multiple cloud providers.
67. What are the benefits of using Terraform for automation?
- Terraform provides infrastructure as code, enables version control, and is cloud-agnostic, making it easier to manage multi-cloud environments.
68. How do you ensure the security of automation scripts?
- Store scripts in secure repositories, use access control, and avoid hardcoding sensitive data like passwords in scripts.
69. How do you handle errors in automated workflows?
- Implement error handling in scripts, use retries, and log errors for diagnosis and troubleshooting.
70. What is the importance of idempotency in automation?
- Idempotency ensures that running automation scripts multiple times doesn’t cause unintended side effects or changes.
📱 𝗙𝗼𝗹𝗹𝗼𝘄 @prodevopsguy 𝐟𝐨𝐫 𝐦𝐨𝐫𝐞 𝐬𝐮𝐜𝐡 𝐜𝐨𝐧𝐭𝐞𝐧𝐭 𝐚𝐫𝐨𝐮𝐧𝐝 𝐜𝐥𝐨𝐮𝐝 & 𝐃𝐞𝐯𝐎𝐩𝐬!!! // 𝐉𝐨𝐢𝐧 𝐟𝐨𝐫 𝐃𝐞𝐯𝐎𝐩𝐬 𝐃𝐎𝐂𝐬: @devopsdocs
- Use cloud-agnostic tools like Terraform to manage and automate infrastructure across multiple cloud providers.
67. What are the benefits of using Terraform for automation?
- Terraform provides infrastructure as code, enables version control, and is cloud-agnostic, making it easier to manage multi-cloud environments.
68. How do you ensure the security of automation scripts?
- Store scripts in secure repositories, use access control, and avoid hardcoding sensitive data like passwords in scripts.
69. How do you handle errors in automated workflows?
- Implement error handling in scripts, use retries, and log errors for diagnosis and troubleshooting.
70. What is the importance of idempotency in automation?
- Idempotency ensures that running automation scripts multiple times doesn’t cause unintended side effects or changes.
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DevOps & Cloud (AWS, AZURE, GCP) Tech Free Learning
DevOps Interview Questions by ProDevOpsGuyTech.pdf
13.5 MB
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Ever had something work perfectly on your machine but fail elsewhere?
With Docker, you’re using the same environment locally, in CI/CD, and production. No more "it works on my machine" issues!
Each project gets its own container, avoiding dependency clashes and system-level config issues.
Need a build from months ago? Docker’s versioned environments let you recreate it instantly.
Docker ensures clean builds every time, avoiding leftover artifacts. Reusable images mean faster pipelines!
Whether it’s Linux, Windows, or ARM, Docker handles it all.
Run as many containers as you need—parallel builds without a hitch.
Containers are isolated, minimizing risks to the host. Crucial for handling sensitive data!
Develop, test, and deploy anywhere—Docker ensures consistency across all platforms.
Need different tools for different projects? Docker packages custom toolchains with ease.
New team members? Just give them the Docker image—they’ll be coding in no time!
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Master the integration of development, security, and operations by automating deployments, implementing security scans, and monitoring your applications in real-time. A perfect project to level up your DevSecOps skills!
📣 Note: Fork this Repository🧑💻 for upcoming future projects, Every week releases new Project.
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Here we understand the flow of Azure DevOps CI/CD for deploying to Azure Kubernetes Service.
𝟭. 𝗣𝗥 𝗣𝗶𝗽𝗲𝗹𝗶𝗻𝗲 (𝗣𝘂𝗹𝗹 𝗥𝗲𝗾𝘂𝗲𝘀𝘁)
🛠️ Fast quality checks: linting, building, and unit testing the code.
𝟮. 𝗖𝗜 𝗣𝗶𝗽𝗲𝗹𝗶𝗻𝗲 (𝗖𝗼𝗻𝘁𝗶𝗻𝘂𝗼𝘂𝘀 𝗜𝗻𝘁𝗲𝗴𝗿𝗮𝘁𝗶𝗼𝗻)
𝟯. 𝗖𝗗 𝗣𝗶𝗽𝗲𝗹𝗶𝗻𝗲 𝗧𝗿𝗶𝗴𝗴𝗲𝗿𝗲𝗱
𝟰. 𝗦𝘁𝗮𝗴𝗶𝗻𝗴 𝗘𝗻𝘃𝗶𝗿𝗼𝗻𝗺𝗲𝗻𝘁 𝗗𝗲𝗽𝗹𝗼𝘆𝗺𝗲𝗻𝘁
𝟱. 𝗖𝗗 𝗣𝗶𝗽𝗲𝗹𝗶𝗻𝗲 - 𝗠𝗮𝗻𝘂𝗮𝗹 𝗩𝗮𝗹𝗶𝗱𝗮𝘁𝗶𝗼𝗻
𝟲. 𝗣𝗿𝗼𝗱𝘂𝗰𝘁𝗶𝗼𝗻 𝗗𝗲𝗽𝗹𝗼𝘆𝗺𝗲𝗻𝘁
🚢 Deploys YAML template to production AKS environment.
𝟳. 𝗖𝗼𝗻𝘁𝗮𝗶𝗻𝗲𝗿 𝗜𝗻𝘀𝗶𝗴𝗵𝘁𝘀 & 𝗔𝘇𝘂𝗿𝗲 𝗠𝗼𝗻𝗶𝘁𝗼𝗿
𝟴. 𝗞𝗲𝘆 𝗖𝗼𝗺𝗽𝗼𝗻𝗲𝗻𝘁𝘀
🛠️ AKS: Managed Kubernetes service by Azure.
The workflow integrates various stages ensuring code quality, testing, and secure deployments across non-production and production environments in Azure DevOps. Container Insights, Azure Monitor, and Defender for DevOps enhance monitoring, observability, and security within the CI/CD pipeline.
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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!
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Mastering Linux 🐧 can truly set you apart in the tech world.
Whether you're a developer, sysadmin, or cloud engineer, Linux knowledge is invaluable.
Here are some other top Linux commands every tech pro should know:
𝟭. 𝗴𝗿𝗲𝗽: Search for patterns in files
𝟮. 𝘀𝗲𝗱: Stream editor for filtering and transforming text
𝟯. 𝗮𝘄𝗸: Pattern scanning and text processing
𝟰. 𝗳𝗶𝗻𝗱: Search for files in a directory hierarchy
𝟱. 𝘁𝗮𝗿: Compress and extract files
𝟲. 𝗽𝘀: Report current processes
𝟳. 𝘁𝗼𝗽: Display system tasks
𝟴. 𝘀𝘀𝗵: Secure shell for remote access
𝟵. 𝗰𝗵𝗺𝗼𝗱: Change file permissions
𝟭𝟬. 𝗰𝗵𝗼𝘄𝗻: Change file ownership
𝟭𝟭. 𝘀𝘆𝘀𝘁𝗲𝗺𝗰𝘁𝗹: Control the systemd system and service manager
𝟭𝟮. 𝗷𝗼𝘂𝗿𝗻𝗮𝗹𝗰𝘁𝗹: Query the systemd journal
𝟭𝟯. 𝗶𝗽𝘁𝗮𝗯𝗹𝗲𝘀: Configure firewall rules
𝟭𝟰. 𝗿𝘀𝘆𝗻𝗰: Remote file copying tool
𝟭𝟱. 𝗰𝗿𝗼𝗻: Schedule tasks to run automatically
▶️ Pro Tip: Combine these commands with pipes (|) and redirections (> or >>) to create powerful one-liners!
✈️ 𝗙𝗼𝗹𝗹𝗼𝘄 @prodevopsguy 𝐟𝐨𝐫 𝐦𝐨𝐫𝐞 𝐬𝐮𝐜𝐡 𝐜𝐨𝐧𝐭𝐞𝐧𝐭 𝐚𝐫𝐨𝐮𝐧𝐝 𝐜𝐥𝐨𝐮𝐝 & 𝐃𝐞𝐯𝐎𝐩𝐬!!! // 𝐉𝐨𝐢𝐧 𝐟𝐨𝐫 𝐃𝐞𝐯𝐎𝐩𝐬 𝐃𝐎𝐂𝐬: @devopsdocs
Whether you're a developer, sysadmin, or cloud engineer, Linux knowledge is invaluable.
Here are some other top Linux commands every tech pro should know:
𝟭. 𝗴𝗿𝗲𝗽: Search for patterns in files
𝟮. 𝘀𝗲𝗱: Stream editor for filtering and transforming text
𝟯. 𝗮𝘄𝗸: Pattern scanning and text processing
𝟰. 𝗳𝗶𝗻𝗱: Search for files in a directory hierarchy
𝟱. 𝘁𝗮𝗿: Compress and extract files
𝟲. 𝗽𝘀: Report current processes
𝟳. 𝘁𝗼𝗽: Display system tasks
𝟴. 𝘀𝘀𝗵: Secure shell for remote access
𝟵. 𝗰𝗵𝗺𝗼𝗱: Change file permissions
𝟭𝟬. 𝗰𝗵𝗼𝘄𝗻: Change file ownership
𝟭𝟭. 𝘀𝘆𝘀𝘁𝗲𝗺𝗰𝘁𝗹: Control the systemd system and service manager
𝟭𝟮. 𝗷𝗼𝘂𝗿𝗻𝗮𝗹𝗰𝘁𝗹: Query the systemd journal
𝟭𝟯. 𝗶𝗽𝘁𝗮𝗯𝗹𝗲𝘀: Configure firewall rules
𝟭𝟰. 𝗿𝘀𝘆𝗻𝗰: Remote file copying tool
𝟭𝟱. 𝗰𝗿𝗼𝗻: Schedule tasks to run automatically
Mastering these commands can significantly boost your productivity and make you comfortable with the Linux wizard!
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https://www.udemy.com/course/terraform-hands-on-labs/
https://drive.google.com/drive/u/0/mobile/folders/1GhcXYuHd72K0uXscjqVnQ3ltNqJWZV2N?usp=sharing
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Zero to Hero
CICD with Git Hub Integration
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1. Kubernetes Hands-on Lab #1 – Setting up 5-Node K8s Cluster
2. Kubernetes Hands-on Lab #2 – Running Our First Nginx Cluster
3. Kubernetes Hands-on Lab #3 –
https://lnkd.in/gSc2KDAb
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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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DEV Community
Scripting in DevOps: A Complete Guide from Beginner to Advanced
Scripting is an essential skill for DevOps engineers, as it allows for automation, configuration...
Want to level up your DevOps game?
- Essential scripting languages (Bash, Python, PowerShell)
- Beginner to advanced scripting techniques
- Real-world automation examples for CI/CD, IaC, and more!
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Happy Dussehra to all ProDevOpsGuy Tech Community members! 🎉
As we celebrate the triumph of good over evil, may this festival inspire us to overcome every challenge in our tech journeys and keep learning, growing, and excelling!🖥 🚀
Wishing you and your families health, happiness, and prosperity on this auspicious day. Let's continue to push boundaries and achieve success together!🔥
Happy Dussehra!🏹 ✨
📱 𝗙𝗼𝗹𝗹𝗼𝘄 @prodevopsguy 𝐟𝐨𝐫 𝐦𝐨𝐫𝐞 𝐬𝐮𝐜𝐡 𝐜𝐨𝐧𝐭𝐞𝐧𝐭 𝐚𝐫𝐨𝐮𝐧𝐝 𝐜𝐥𝐨𝐮𝐝 & 𝐃𝐞𝐯𝐎𝐩𝐬!!! // 𝐉𝐨𝐢𝐧 𝐟𝐨𝐫 𝐃𝐞𝐯𝐎𝐩𝐬 𝐃𝐎𝐂𝐬: @devopsdocs
As we celebrate the triumph of good over evil, may this festival inspire us to overcome every challenge in our tech journeys and keep learning, growing, and excelling!
Wishing you and your families health, happiness, and prosperity on this auspicious day. Let's continue to push boundaries and achieve success together!
Happy Dussehra!
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𝟭.𝗴𝗶𝘁 𝗱𝗶𝗳𝗳: Show file differences not yet staged.
𝟮. 𝗴𝗶𝘁 𝗰𝗼𝗺𝗺𝗶𝘁 -m "commit message": Commit all tracked changes with a message.
𝟯. 𝗴𝗶𝘁 𝘀𝘁𝗮𝘁𝘂𝘀: Show the state of your working directory.
𝟰. 𝗴𝗶𝘁 𝗮𝗱𝗱 𝗳𝗶𝗹𝗲_𝗽𝗮𝘁𝗵: Add file(s) to the staging area.
𝟱. 𝗴𝗶𝘁 𝗰𝗵𝗲𝗰𝗸𝗼𝘂𝘁 -𝗯 𝗯𝗿𝗮𝗻𝗰𝗵_𝗻𝗮𝗺𝗲: Create and switch to a new branch.
𝟲. 𝗴𝗶𝘁 𝗰𝗵𝗲𝗰𝗸𝗼𝘂𝘁 𝗯𝗿𝗮𝗻𝗰𝗵_𝗻𝗮𝗺𝗲: Switch to an existing branch.
𝟳. 𝗴𝗶𝘁 𝗰𝗼𝗺𝗺𝗶𝘁 --𝗮𝗺𝗲𝗻𝗱: Modify the last commit.
𝟴. 𝗴𝗶𝘁 𝗽𝘂𝘀𝗵 𝗼𝗿𝗶𝗴𝗶𝗻 𝗯𝗿𝗮𝗻𝗰𝗵_𝗻𝗮𝗺𝗲: Push a branch to a remote.
𝟵. 𝗴𝗶𝘁 𝗽𝘂𝗹𝗹: Fetch and merge remote changes.
𝟭𝟬. 𝗴𝗶𝘁 𝗿𝗲𝗯𝗮𝘀𝗲 -𝗶: Rebase interactively, rewrite commit history.
𝟭𝟭. 𝗴𝗶𝘁 𝗰𝗹𝗼𝗻𝗲: Create a local copy of a remote repo.
𝟭𝟮. 𝗴𝗶𝘁 𝗺𝗲𝗿𝗴𝗲: Merge branches together.
𝟭𝟯. 𝗴𝗶𝘁 𝗹𝗼𝗴-𝘀𝘁𝗮𝘁: Show commit logs with stats.
𝟭𝟰. 𝗴𝗶𝘁 𝘀𝘁𝗮𝘀𝗵: Stash changes for later.
𝟭𝟱. 𝗴𝗶𝘁 𝘀𝘁𝗮𝘀𝗵 𝗽𝗼𝗽: Apply and remove stashed changes.
𝟭𝟲. 𝗴𝗶𝘁 𝘀𝗵𝗼𝘄 𝗰𝗼𝗺𝗺𝗶𝘁_𝗶𝗱: Show details about a commit.
𝟭𝟳. 𝗴𝗶𝘁 𝗿𝗲𝘀𝗲𝘁 𝗛𝗘𝗔𝗗~𝟭: Undo the last commit, preserving changes locally.
𝟭𝟴. 𝗴𝗶𝘁 𝗳𝗼𝗿𝗺𝗮𝘁-𝗽𝗮𝘁𝗰𝗵-𝟭 𝗰𝗼𝗺𝗺𝗶𝘁_𝗶𝗱: Create a patch file for a specific commit.
𝟭𝟵. 𝗴𝗶𝘁 𝗮𝗽𝗽𝗹𝘆 𝗽𝗮𝘁𝗰𝗵_𝗳𝗶𝗹𝗲_𝗻𝗮𝗺𝗲: Apply changes from a patch file.
𝟮𝟬. 𝗴𝗶𝘁 𝗯𝗿𝗮𝗻𝗰𝗵 -𝗗 𝗯𝗿𝗮𝗻𝗰𝗵_𝗻𝗮𝗺𝗲: Delete a branch forcefully.
𝟮𝟭. 𝗴𝗶𝘁 𝗿𝗲𝘀𝗲𝘁: Undo commits by moving branch reference.
𝟮𝟮. 𝗴𝗶𝘁 𝗿𝗲𝘃𝗲𝗿𝘁: Undo commits by creating a new commit.
𝟮𝟯. 𝗴𝗶𝘁 𝗰𝗵𝗲𝗿𝗿𝘆-𝗽𝗶𝗰𝗸 𝗰𝗼𝗺𝗺𝗶𝘁_𝗶𝗱: Apply changes from a specific commit.
𝟮𝟰. 𝗴𝗶𝘁 𝗯𝗿𝗮𝗻𝗰𝗵: Lists branches.
𝟮𝟱. 𝗴𝗶𝘁 𝗿𝗲𝘀𝗲𝘁 --𝗵𝗮𝗿𝗱: Resets everything to a previous commit, erasing all uncommitted changes.
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This guide will cover everything required to deploy an example Azure Service Bus instance via Terraform and ADO.
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↳ In GitOps world everyone is aware about the ArgoCD.
It's has tremendous features due to which its first choice of almost every DevOps engineer.
1. 𝗔𝘂𝘁𝗼𝗺𝗮𝘁𝗲𝗱 𝗱𝗲𝗽𝗹𝗼𝘆𝗺𝗲𝗻𝘁 of applications to specified target environment in multiple clusters
Support for multiple config management/templating tools-->
• Kustomize
• Helm
• Ksonnet
• Jsonnet
• Plain-YAML
2. 𝗦𝗦𝗢 𝗜𝗻𝘁𝗲𝗴𝗿𝗮𝘁𝗶𝗼𝗻 :
• OIDC
• OAuth2
• LDAP
• SAML 2.0
• GitHub
• GitLab
• Microsoft
3. 𝗠𝘂𝗹𝘁𝗶-𝘁𝗲𝗻𝗮𝗻𝗰𝘆 𝗮𝗻𝗱 𝗥𝗕𝗔𝗖 policies for authorization
4. 𝗥𝗼𝗹𝗹𝗯𝗮𝗰𝗸/𝗥𝗼𝗹𝗹-𝗮𝗻𝘆𝘄𝗵𝗲𝗿𝗲 to any application configuration committed in Git repository.
• Health status analysis of application resources
5. 𝗔𝘂𝘁𝗼𝗺𝗮𝘁𝗲𝗱 𝗰𝗼𝗻𝗳𝗶𝗴𝘂𝗿𝗮𝘁𝗶𝗼𝗻 𝗱𝗿𝗶𝗳𝘁 detection and visualization
6. Out-of-the-box Prometheus metrics
7. Audit trails for application events and API calls
8. PreSync, Sync, PostSync hooks:
• Support complex application rollouts
-> blue/green
-> canary upgrades
9. Web-hook integration
-> GitHub
-> BitBucket
-> GitLab
10. CLI and access tokens for automation and Cl integration
11. Web UI which provides real-time view of application activity
12. Automated or manual syncing of applications to its desired state
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