- All AWS Content
- AWS Realtime scenarios
- All AWS Exercises with solutions
- No More AWS PDFs needed
- Easy to Learn from anywhere
- Detailed Explanation guide
- All AWS services for DevOps Engineer
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- All Git/GitHub Content with use cases
- Git Realtime scenarios
- All Git/GitHub Exercises with solutions
- No More Git PDFs needed
- Easy to Learn from anywhere
- Detailed Explanation guide
- All Git/GitHub Branching Strategies for DevOps guy
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- Comprehensive Terraform Content
- Real-world Infrastructure Automation Scenarios
- Complete Terraform Exercises with Solutions
- No Need for Terraform PDFs Anymore
- Learn Terraform Anytime, Anywhere
- Detailed Explanations & Step-by-Step Guides
- All Terraform Modules and Workflows for DevOps Engineers
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Both commands aim to upgrade your Kubernetes cluster and node groups with almost zero downtime.
The cordon command is used to inform the cluster not to schedule any new pod on the nodes, and other/existing pods should be running without downtime or disruption.
The drain command is used to evict all the pods from the particular node group and stop pods from scheduling on the nodes. Drain command is majorly used for the maintenance of the particular node groups.
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DEV Community
Azure DevOps Zero to Hero Series
Introduction Welcome to the Azure DevOps Zero to Hero Series! This comprehensive series is...
Hey everyone!
1. Introduction to Azure DevOps
- Understanding DevOps and its importance
- Overview of Azure DevOps services
- Setting up your Azure DevOps environment
2. Azure Boards and Agile Project Management
- Managing work items with Azure Boards
- Implementing Agile, Scrum, and Kanban processes
- Customizing dashboards and queries
3. Mastering Git and Source Control
- Introduction to Git and Azure Repos
- Branching, merging, and pull requests
- Managing repositories and code reviews
4. Build and Release Pipelines
- Creating and configuring build pipelines
- Continuous Integration (CI) and Continuous Deployment (CD)
- Using Azure Pipelines for automated deployments
5. Azure Artifacts and Test Plans
- Managing packages with Azure Artifacts
- Setting up and running test plans
- Ensuring code quality and compliance
- Hands-On Demos: Each article includes practical demos to help you apply what you learn.
- Real-World Projects: Work on real projects to gain practical experience.
- Community Support: Join our community discussions and collaborate with fellow learners.
Don't miss out on this opportunity to become an Azure DevOps expert! Whether you're a beginner or looking to enhance your skills, this series has something for everyone.
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Forwarded from DevOps & Cloud (AWS, AZURE, GCP) Tech Free Learning
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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Gain access to role-based and domain-based DevOps learning paths designed to get you job-ready!
Sign up now to close that skill gap and step up your game!
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Most Asked Scenario-Based Linux Interview Questions for DevOps Engineers 🚀
1. Troubleshooting Services:💡
• Scenario: Your application is running on an Apache web server, but the website is not accessible. What steps would you take to identify and resolve the issue?
2. Disk Space Management:💡
• Scenario: You receive an alert that a production server is running low on disk space. How would you identify the files or directories consuming the most space and clean it up safely?
3. Process Monitoring and Optimization:💡
• Scenario: A server is experiencing high CPU usage, and the application performance is degraded. How would you identify the root cause and optimize the processes?
4. User Management and Permissions:💡
• Scenario: A user is unable to access a specific directory even though they belong to the correct group. How would you troubleshoot and resolve this permission issue?
5. Network Connectivity Issues:💡
• Scenario: Your server is unable to reach a specific external IP address. What steps would you take to diagnose and resolve this network connectivity issue?
6. File Recovery:💡
• Scenario: An important configuration file has been accidentally deleted. How would you attempt to recover this file if there are no backups?
7. Automating Tasks with Shell Scripts:💡
• Scenario: You need to automate the deployment of an application. How would you use shell scripting to automate the process, including stopping services, copying files, and restarting services?
8. Log Analysis:💡
• Scenario: An application is intermittently failing. How would you use Linux command-line tools to analyze logs and identify the root cause of these failures?
9. Service Start-Up Failure:💡
• Scenario: A critical service fails to start after a server reboot. How would you diagnose and resolve the startup failure?
10. Kernel Tuning and Optimization:💡
• Scenario: You need to optimize the server’s performance for a high-traffic application. How would you tune kernel parameters to improve system performance?
11. Managing Crontab Entries:💡
• Scenario: A scheduled cron job did not execute as expected. How would you troubleshoot this issue and ensure the job runs correctly in the future?
12. Handling Large File Transfers:💡
• Scenario: You need to transfer a large file securely from one server to another. What methods would you use to ensure the transfer is efficient and secure?
13. Deploying Updates with Zero Downtime:💡
• Scenario: You need to deploy updates to an application without causing downtime. How would you achieve this on a Linux server?
14. Managing System Resources:💡
• Scenario: The server's memory usage is consistently high, affecting application performance. What steps would you take to identify the cause and manage system resources effectively?
✈️ 𝗙𝗼𝗹𝗹𝗼𝘄 @prodevopsguy 𝐟𝐨𝐫 𝐦𝐨𝐫𝐞 𝐬𝐮𝐜𝐡 𝐜𝐨𝐧𝐭𝐞𝐧𝐭 𝐚𝐫𝐨𝐮𝐧𝐝 𝐜𝐥𝐨𝐮𝐝 & 𝐃𝐞𝐯𝐎𝐩𝐬!!! // 𝐉𝐨𝐢𝐧 𝐟𝐨𝐫 𝐃𝐞𝐯𝐎𝐩𝐬 𝐃𝐎𝐂𝐬: @devopsdocs
1. Troubleshooting Services:
• Scenario: Your application is running on an Apache web server, but the website is not accessible. What steps would you take to identify and resolve the issue?
2. Disk Space Management:
• Scenario: You receive an alert that a production server is running low on disk space. How would you identify the files or directories consuming the most space and clean it up safely?
3. Process Monitoring and Optimization:
• Scenario: A server is experiencing high CPU usage, and the application performance is degraded. How would you identify the root cause and optimize the processes?
4. User Management and Permissions:
• Scenario: A user is unable to access a specific directory even though they belong to the correct group. How would you troubleshoot and resolve this permission issue?
5. Network Connectivity Issues:
• Scenario: Your server is unable to reach a specific external IP address. What steps would you take to diagnose and resolve this network connectivity issue?
6. File Recovery:
• Scenario: An important configuration file has been accidentally deleted. How would you attempt to recover this file if there are no backups?
7. Automating Tasks with Shell Scripts:
• Scenario: You need to automate the deployment of an application. How would you use shell scripting to automate the process, including stopping services, copying files, and restarting services?
8. Log Analysis:
• Scenario: An application is intermittently failing. How would you use Linux command-line tools to analyze logs and identify the root cause of these failures?
9. Service Start-Up Failure:
• Scenario: A critical service fails to start after a server reboot. How would you diagnose and resolve the startup failure?
10. Kernel Tuning and Optimization:
• Scenario: You need to optimize the server’s performance for a high-traffic application. How would you tune kernel parameters to improve system performance?
11. Managing Crontab Entries:
• Scenario: A scheduled cron job did not execute as expected. How would you troubleshoot this issue and ensure the job runs correctly in the future?
12. Handling Large File Transfers:
• Scenario: You need to transfer a large file securely from one server to another. What methods would you use to ensure the transfer is efficient and secure?
13. Deploying Updates with Zero Downtime:
• Scenario: You need to deploy updates to an application without causing downtime. How would you achieve this on a Linux server?
14. Managing System Resources:
• Scenario: The server's memory usage is consistently high, affecting application performance. What steps would you take to identify the cause and manage system resources effectively?
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Give me 3 minutes, and I'll explain the 📱 𝐆𝐈𝐓 𝐖𝐨𝐫𝐤𝐟𝐥𝐨𝐰 to you.
I will keep it very simple and straightforward.
[1.] 𝐈𝐧𝐢𝐭𝐢𝐚𝐥 𝐒𝐭𝐚𝐭𝐞
◾️ You have a remote repository on a server (README.md file exists).
◾️ Your local machine has no project files yet.
[2.] 𝐠𝐢𝐭 𝐜𝐥𝐨𝐧𝐞 <𝐫𝐞𝐩𝐨𝐬𝐢𝐭𝐨𝐫𝐲>
◾️ Copies the entire remote repository (README.md) to your local machine.
◾️ Creates a local repository linked to the remote one.
[3.] 𝐂𝐫𝐞𝐚𝐭𝐢𝐧𝐠 𝐚 𝐧𝐞𝐰 𝐟𝐢𝐥𝐞
◾️ You create a new file (newfile.txt) in your local working directory.
◾️ This file is untracked by Git at this point.
[4.] 𝐠𝐢𝐭 𝐚𝐝𝐝 .
◾️ Stages all changes (including the new file) in the working directory.
◾️ Prepares them to be included in the next commit.
[5.] 𝐠𝐢𝐭 𝐜𝐨𝐦𝐦𝐢𝐭 -𝐦 "<𝐦𝐞𝐬𝐬𝐚𝐠𝐞>"
◾️ Takes a snapshot of the staged changes.
◾️ Creates a new commit in your local repository with the changes and your commit message.
[6.] 𝐠𝐢𝐭 𝐩𝐮𝐬𝐡
◾️ Uploads all your local commits to the remote repository.
◾️ Now, both your local and remote repositories are synchronized.
📌 𝐊𝐞𝐲 𝐏𝐨𝐢𝐧𝐭𝐬
◾️ Working Directory => Where you make changes to your files.
◾️ Staging Area (Index) => A temporary holding area for changes you want to include in your next commit.
◾️ Local Repository => Your complete project history on your machine.
◾️ Remote Repository =>The central project repository on a server, often used for collaboration.
✈️ 𝗙𝗼𝗹𝗹𝗼𝘄 @prodevopsguy 𝐟𝐨𝐫 𝐦𝐨𝐫𝐞 𝐬𝐮𝐜𝐡 𝐜𝐨𝐧𝐭𝐞𝐧𝐭 𝐚𝐫𝐨𝐮𝐧𝐝 𝐜𝐥𝐨𝐮𝐝 & 𝐃𝐞𝐯𝐎𝐩𝐬!!! // 𝐉𝐨𝐢𝐧 𝐟𝐨𝐫 𝐃𝐞𝐯𝐎𝐩𝐬 𝐃𝐎𝐂𝐬: @devopsdocs
I will keep it very simple and straightforward.
[1.] 𝐈𝐧𝐢𝐭𝐢𝐚𝐥 𝐒𝐭𝐚𝐭𝐞
[2.] 𝐠𝐢𝐭 𝐜𝐥𝐨𝐧𝐞 <𝐫𝐞𝐩𝐨𝐬𝐢𝐭𝐨𝐫𝐲>
[3.] 𝐂𝐫𝐞𝐚𝐭𝐢𝐧𝐠 𝐚 𝐧𝐞𝐰 𝐟𝐢𝐥𝐞
[4.] 𝐠𝐢𝐭 𝐚𝐝𝐝 .
[5.] 𝐠𝐢𝐭 𝐜𝐨𝐦𝐦𝐢𝐭 -𝐦 "<𝐦𝐞𝐬𝐬𝐚𝐠𝐞>"
[6.] 𝐠𝐢𝐭 𝐩𝐮𝐬𝐡
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I will be deploying a Netflix clone. I will be using Jenkins as a CICD tool and deploying our application on a Docker container and Kubernetes Cluster and I will monitor the Jenkins and Kubernetes metrics using Grafana, Prometheus and Node exporter.
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DEV Community
Learn DevOps with 0 Knowledge for Freshers
Introduction DevOps is a transformative culture and set of practices that bring together...
Are you a fresher with zero knowledge of DevOps? Don't worry! Our comprehensive guide, Learn DevOps with 0 Knowledge for Freshers, is here to help you get started on the right path.
- Understanding the basics of DevOps
- Foundation skills: programming, OS, networking
- Mastering CI/CD with Jenkins and GitLab
- Configuration management with Ansible and Puppet
- Containerization and orchestration with Docker and Kubernetes
- Exploring cloud platforms: AWS, Azure, GCP
- Implementing Infrastructure as Code with Terraform
- Monitoring and logging with Prometheus and ELK Stack
- Hands-on projects and continuous learning tips
Start your DevOps journey today and become a proficient DevOps engineer!🎉
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DEV Community
"Top 10 DevOps Tools You Can’t Live Without in 2024"
DevOps has become a vital approach for organizations to increase development speed, improve...
As a DevOps engineer, the right tools can make all the difference in your workflow. I’ve just published a detailed guide on the essential DevOps tools that every engineer should know in 2024!
From Kubernetes to Terraform, I cover everything you need to scale, automate, and secure your DevOps pipelines. Whether you’re just starting out or looking to optimize your processes, this guide has you covered!
Let me know which tool you can’t live without!
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- The Linux Foundation: https://lnkd.in/epkP5dYQ
- Linux Documentation: https://lnkd.in/eWNYW246
- Fedora Project: fedoraproject.org
- Python: learnpython.org
- Go: go.dev/tour
- Automate with Python: automatetheboringstuff.com
- Golang Bootcamp: https://lnkd.in/eSsK7KUG
- GenAI - https://brij.guru/ai
- Cisco Networking Academy: netacad.com
- Networking Fundamentals: https://lnkd.in/eQ62Bfza
- Networking: A Top-Down Approach: kurose.cslash.net
- FreeCodeCamp's Course: https://lnkd.in/ecAsMH2w
- Git SCM: git-scm.com
- Try Git: github.com/Try
- Git Tutorials: https://lnkd.in/eDbQBQfD
- Git Interactive Tutorial: https://lnkd.in/eqfE2ZC4
- Docker Documentation: docs.docker.com
- Docker Hub: hub.docker.com
- Docker Labs: dockerlabs.collabnix.com
- Kubernetes Fundamentals: https://lnkd.in/eurRUTSt
- AWS Free Tier: aws.amazon.com/free
- Microsoft Azure Free Account: https://lnkd.in/ehxD777x
- Google Cloud Platform Free Tier: cloud.google.com/free
- Cloud Academy: cloudacademy.com
- Jenkins: jenkins.io
- Travis CI: https://lnkd.in/eDTJtRjB
- CircleCI: circleci.com
- GitLab CI/CD: docs.gitlab.com/ee/ci
- Kubernetes Documentation: kubernetes.io/docs/home
- Kubernetes the Hard Way: https://lnkd.in/edWs7_FW
- CNCF Curriculum: cncf.io
- Kubernetes Fundamentals: https://lnkd.in/e55BRxGy
- Prometheus: prometheus.io
- Grafana: grafana.com
- Elasticsearch: elastic.co
- Jaeger: https://lnkd.in/eiFkzXwD
- Terraform: terraform.io
- AWS CloudFormation: https://lnkd.in/e4wGb2eT
- Azure Resource Manager: https://lnkd.in/eWzjg94i
- Deployment Manager: https://lnkd.in/ekAQpT3n
- Open Policy Agent: https://lnkd.in/eG4jMZSU
- Kyverno: kyverno.io/docs
- Rego: https://lnkd.in/eD75meCB
- Istio: https://lnkd.in/eaxdAMZC
- Linkerd: linkerd.io
- Consul Service Mesh: https://lnkd.in/eEn3eacn
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DevOps & Cloud (AWS, AZURE, GCP) Tech Free Learning
Photo
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?
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?
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?
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DevOps & Cloud (AWS, AZURE, GCP) Tech Free Learning
Photo
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?
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?
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?
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