⚠️ As a DevOps engineer, understanding Splunk commands is essential for effective log analysis and monitoring.

Here are some commonly used Splunk commands:

1. search: The primary command for searching data in Splunk. Use it to retrieve events based on specific criteria.

2. index: Specifies the index from which to retrieve data. You can filter data by index using this command.

3. source: Filters events based on the source of the data (e.g., log files, network streams).

4. sourcetype: Filters events based on the type of data source (e.g., Apache logs, Windows Event Logs).

5. eval: Creates calculated fields or modifies existing fields. Useful for creating custom fields or transforming data.

6. stats: Aggregates and summarizes data. You can use it to calculate counts, averages, and other statistics.

7. timechart: Generates time-based charts and visualizations. Useful for trend analysis and identifying patterns over time.

8. rex: Extracts fields using regular expressions. Helpful when dealing with unstructured data.

9. dedup: Removes duplicate events based on specified fields.

10. transaction: Groups related events into transactions. Useful for analyzing multi-step processes.

11. top: Identifies the top values for a specific field (e.g., top IP addresses, top error codes).

12. lookup: Enriches events by joining them with external lookup tables (e.g., mapping IP addresses to geolocation data).

Remember that these commands are just a starting point. Depending on your use case, you might need to explore additional commands and features. Happy Splunking! 🚀🔍

For more detailed information, check out the Splunk Cheat Sheet and the Splunk Quick Reference Guide[1][2].

➡️Reference links: [1] [2] [3]


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

🚨 Essential Commands for DevOps Troubleshooting ⚠️

⏩ System Monitoring & Management
1.⁠ ⁠⁠ top ⁠/⁠ htop ⁠: Monitor real-time system resource usage (CPU, memory, etc.).
2.⁠ ⁠⁠ ps aux ⁠: Display currently running processes.
3.⁠ ⁠⁠ free -h ⁠: Check memory usage.
4.⁠ ⁠⁠ df -h ⁠: View disk space usage.
5.⁠ ⁠⁠ du -sh /path/to/directory ⁠: Check the size of a specific directory.
6.⁠ ⁠⁠ uptime ⁠: See how long the system has been running and load average.
7.⁠ ⁠⁠ iostat ⁠: Monitor system input/output device loading.
8.⁠ ⁠⁠ sar ⁠: Collect, report, or save system activity information.

⏩ Networking
1.⁠ ⁠⁠ ifconfig ⁠/⁠ ip a ⁠: Display network interfaces and IP addresses.
2.⁠ ⁠⁠ ping <host> ⁠: Check connectivity to a remote host.
3.⁠ ⁠⁠ traceroute <host> ⁠: Trace the path packets take to a network host.
4.⁠ ⁠⁠ netstat -tuln ⁠/⁠ ss -tuln ⁠: List open ports and services.
5.⁠ ⁠⁠ nslookup <domain> ⁠/⁠ dig <domain> ⁠: Query DNS records.
6.⁠ ⁠⁠ wget <url> ⁠: Download files from the web.

⏩ Additional Tools
1.⁠ ⁠⁠ journalctl ⁠: View system logs (Linux).
2.⁠ ⁠⁠ syslog-ng ⁠: Configure system logging.
3.⁠ ⁠⁠ tcpdump ⁠: Capture network traffic.
4.⁠ ⁠⁠ strace ⁠: Debug system calls.
5.⁠ ⁠⁠ lsof ⁠: List open files and network connections.

⏩ Troubleshooting Steps
1.⁠ ⁠Identify symptoms.
2.⁠ ⁠Gather logs and system info.
3.⁠ ⁠Analyze data.
4.⁠ ⁠Isolate issues.
5.⁠ ⁠Apply fixes.

⏩ Best Practices
1.⁠ ⁠Regularly monitor system performance.
2.⁠ ⁠Implement logging and alerting.
3.⁠ ⁠Document troubleshooting processes.
4.⁠ ⁠Continuously learn new tools and techniques.


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

🚀 Mastering AWS DevOps: Elevate Your Cloud Game! 🌩


Dive into the world of AWS DevOps and transform your cloud infrastructure with cutting-edge tools and practices. Here's what you need to know:

🔧 Core Components:
1. AWS CodePipeline: Automate your release pipelines with ease.
2. AWS CodeBuild: Scalable build service to compile your source code, run tests, and produce software packages.
3. AWS CodeDeploy: Automate code deployments to any instance, be it EC2 or on-premises.
4. AWS CodeCommit: Secure and scalable source control service to host Git repositories.

📊 Monitoring and Logging:
- Amazon CloudWatch: Monitor and log your AWS resources and applications.
- AWS X-Ray: Trace and debug applications built using a microservices architecture.

🔐 Security:
- AWS Identity and Access Management (IAM): Fine-grained access control for users and services.
- AWS Key Management Service (KMS): Create and manage cryptographic keys securely.

🔄 Continuous Integration & Continuous Deployment (CI/CD):
- Integrate with Jenkins, GitHub Actions, or GitLab CI for streamlined CI/CD workflows.

🚀 Scalability and Performance:
- AWS Elastic Beanstalk: Quickly deploy and manage applications in the AWS Cloud without worrying about the infrastructure.
- AWS Auto Scaling: Ensure your application scales automatically to meet demand.

🔧 Infrastructure as Code (IaC):
- AWS CloudFormation: Model and set up your AWS resources using code.

🌍 Global Reach:
- Utilize AWS Global Infrastructure for deploying your applications across multiple regions.

Stay tuned for more insights and tips on leveraging AWS DevOps to boost your cloud efficiency and productivity. Happy DevOps-ing! 🤖💻

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

🐱 Git can be confusing at first. But trust me, once you grasp the basics, it's a game-changer.

▶️ Here's a quick rundown:

⚡️𝐘𝐨𝐮𝐫 𝐖𝐨𝐫𝐤𝐬𝐩𝐚𝐜𝐞: This is where you actually code. Simple.

⚡️𝐒𝐭𝐚𝐠𝐢𝐧𝐠 (𝐠𝐢𝐭 𝐚𝐝𝐝): Think of it as a prep area. You're telling Git, "Hey, these changes are important."

⚡️𝐋𝐨𝐜𝐚𝐥 𝐑𝐞𝐩𝐨 (𝐠𝐢𝐭 𝐜𝐨𝐦𝐦𝐢𝐭): This is your personal save point. Commit often, thank yourself later.

⚡️𝐑𝐞𝐦𝐨𝐭𝐞 𝐑𝐞𝐩𝐨 (𝐆𝐢𝐭𝐇𝐮𝐛, 𝐆𝐢𝐭𝐋𝐚𝐛 𝐞𝐭𝐜.): The cloud where your team's code lives. This is where the collaboration magic happens.

⚡️𝐊𝐞𝐲 𝐦𝐨𝐯𝐞𝐬:
- 𝑷𝒖𝒔𝒉: Send your local commits to the remote repo.
- 𝑷𝒖𝒍𝒍: Grab the latest changes from remote. It's actually fetch + merge in one go.
- 𝑭𝒆𝒕𝒄𝒉: Download changes, but don't apply them yet.
- 𝑴𝒆𝒓𝒈𝒆: Combine those fetched changes with your work.


🎄 𝗙𝗼𝗹𝗹𝗼𝘄 @devcloudninjas 𝐟𝐨𝐫 𝐦𝐨𝐫𝐞 𝐬𝐮𝐜𝐡 𝐜𝐨𝐧𝐭𝐞𝐧𝐭 𝐚𝐫𝐨𝐮𝐧𝐝 𝐜𝐥𝐨𝐮𝐝 & 𝐃𝐞𝐯𝐎𝐩𝐬!!! // 𝐉𝐨𝐢𝐧 𝐟𝐨𝐫 𝐃𝐞𝐯𝐎𝐩𝐬 𝐃𝐎𝐂𝐬: @devcloudninjas

➡️ How do companies ship code to production?


The diagram above illustrates the typical workflow.

➡️Step 1: The process starts with a product owner creating user stories based on requirements.

➡️Step 2: The dev team picks up the user stories from the backlog and puts them into a sprint for a two-week dev cycle.

➡️Step 3: The developers commit source code into the code repository Git.

➡️Step 4: A build is triggered in Jenkins. The source code must pass unit tests, code coverage threshold, and gates in SonarQube.

➡️Step 5: Once the build is successful, the build is stored in artifactory. Then the build is deployed into the dev environment.

➡️Step 6: There might be multiple dev teams working on different features. The features need to be tested independently, so they are deployed to QA1 and QA2.

➡️Step 7: The QA team picks up the new QA environments and performs QA testing, regression testing, and performance testing.

➡️Steps 8: Once the QA builds pass the QA team’s verification, they are deployed to the UAT environment.

➡️Step 9: If the UAT testing is successful, the builds become release candidates and will be deployed to the production environment on schedule.

➡️Step 10: SRE (Site Reliability Engineering) team is responsible for prod monitoring.


📱 𝐅𝐨𝐥𝐥𝐨𝐰 @devcloudninjas 𝐟𝐨𝐫 𝐦𝐨𝐫𝐞 𝐬𝐮𝐜𝐡 𝐜𝐨𝐧𝐭𝐞𝐧𝐭 𝐚𝐫𝐨𝐮𝐧𝐝 𝐜𝐥𝐨𝐮𝐝 & 𝐃𝐞𝐯𝐎𝐩𝐬!!!

☄️ 𝗕𝗲𝘀𝘁 𝐘𝐨𝐮𝐭𝐮𝐛𝐞 📱 𝐜𝐡𝐚𝐧𝐧𝐞𝐥𝐬 𝗧𝗼 𝗟𝗲𝗮𝗿𝗻 𝗗𝗲𝘃𝗢𝗽𝘀 ♾


🌐 LogicOps Lab by Ravish Rawat ( Real time Interview's )
🔗 https://lnkd.in/g3rtbjHb

🌐 Real time projects @mr.cloudbook
🔗 https://lnkd.in/gWWqHnJx

🌐 Train With Shubham by Shubham Londhe
🔗 https://lnkd.in/g9SwADkB

🌐 Tech Tutorials with Piyush by Piyush sachdeva (Azure and GCP cloud)
🔗 https://lnkd.in/g4iWpScc

🌐 TechWorld With Nana by Nana Janashia
🔗 https://lnkd.in/g7iFKKb9

🌐 KodeKloud by Mumshad Mannambeth
🔗 https://lnkd.in/g2jdc__p

🌐 Stéphane Maarek
🔗 https://lnkd.in/gzSbeKFt

🌐 Technical Guftgu by Bhupinder Rajput l भूपिंदर राजपूत l بھوپندر راجپوت In Hindi
🔗 https://lnkd.in/g8FYMCAS

🌐 Cloud Advocate by Krishna Chaitanya Gadhiraju (GK)
🔗 https://lnkd.in/giNb536Y

🌐 Abhishek Veeramalla
🔗 https://lnkd.in/gMfRacqy

🌐 Cloud Champ by Nasiullha Chaudhari
🔗 https://lnkd.in/gYUQ4r5x

🌐 Praveen Singampalli
🔗 https://lnkd.in/gVAeX8dZ


🔵 𝐅𝐨𝐥𝐥𝐨𝐰 @devcloudninjas 𝐟𝐨𝐫 𝐦𝐨𝐫𝐞 𝐬𝐮𝐜𝐡 𝐜𝐨𝐧𝐭𝐞𝐧𝐭 𝐚𝐫𝐨𝐮𝐧𝐝 𝐜𝐥𝐨𝐮𝐝 & 𝐃𝐞𝐯𝐎𝐩𝐬!!! // 𝐉𝐨𝐢𝐧 𝐟𝐨𝐫 𝐃𝐞𝐯𝐎𝐩𝐬 𝐃𝐎𝐂𝐬: @devcloudninjas

📢 100 Terraform Basic To Advanced Interview Questions & Answers


➡️Terraform is an open-source infrastructure as code software tool created by HashiCorp. It allows users to define and provision infrastructure using a high-level configuration language known as HashiCorp Configuration Language (HCL).

𝑓𝑜𝑟 𝑚𝑜𝑟𝑒 𝑖𝑛𝑓𝑜, 𝑦𝑜𝑢 𝑐𝑎𝑛 𝑐ℎ𝑒𝑐𝑘 𝑡ℎ𝑖𝑠 𝑙𝑖𝑛𝑘:
🖥 blog.devcloudninjas.com/100-terraform-basic-to-advanced-interview-questions-answers


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

🚀 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 @devcloudninjas 𝐟𝐨𝐫 𝐦𝐨𝐫𝐞 𝐬𝐮𝐜𝐡 𝐜𝐨𝐧𝐭𝐞𝐧𝐭 𝐚𝐫𝐨𝐮𝐧𝐝 𝐜𝐥𝐨𝐮𝐝 & 𝐃𝐞𝐯𝐎𝐩𝐬!!! // 𝐉𝐨𝐢𝐧 𝐟𝐨𝐫 𝐃𝐞𝐯𝐎𝐩𝐬 𝐃𝐎𝐂𝐬: @devcloudninjas

🛠 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 @devcloudninjas 𝐟𝐨𝐫 𝐦𝐨𝐫𝐞 𝐬𝐮𝐜𝐡 𝐜𝐨𝐧𝐭𝐞𝐧𝐭 𝐚𝐫𝐨𝐮𝐧𝐝 𝐜𝐥𝐨𝐮𝐝 & 𝐃𝐞𝐯𝐎𝐩𝐬!!!

🌟 Kickstart Your DevOps Journey! 🚀

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.

🖥 Read the full article here: https://dev.to/devcloudninjas/devops-from-0-to-hero-for-freshers-3mj4

💡 What you'll learn:
- 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! 🎉

😎 𝐅𝐨𝐥𝐥𝐨𝐰 @devcloudninjas 𝐟𝐨𝐫 𝐦𝐨𝐫𝐞 𝐬𝐮𝐜𝐡 𝐜𝐨𝐧𝐭𝐞𝐧𝐭 𝐚𝐫𝐨𝐮𝐧𝐝 𝐜𝐥𝐨𝐮𝐝 & 𝐃𝐞𝐯𝐎𝐩𝐬!!!

⭐️ 70 AWS interview questions ranging from beginner to advanced levels:


⭐️ Beginner Level
1. What is AWS?
2. What are the key services provided by AWS?
3. What is EC2 in AWS?
4. What is an S3 bucket?
5. Explain the difference between S3 and EBS.
6. What is IAM in AWS?
7. How does AWS VPC work?
8. What are Security Groups and how do they work?
9. What is an AWS region?
10. What are Availability Zones in AWS?
11. What is Auto Scaling?
12. What is Elastic Load Balancing?
13. What is Route 53?
14. Explain the difference between a public and private subnet.
15. What is CloudFormation?
16. What is AWS Lambda?
17. What is Amazon RDS?
18. How do you monitor AWS resources?
19. What is Amazon DynamoDB?
20. What is AWS Elastic Beanstalk?
21. What is Amazon CloudFront?
22. Explain Amazon SNS.
23. What is the difference between RDS and DynamoDB?
24. What are EIPs (Elastic IPs)?
25. How does AWS CloudTrail work?
26. What is Amazon CloudWatch?
27. What is the AWS Free Tier?
28. What is a NAT Gateway?
29. Explain the Shared Responsibility Model in AWS.
30. What are AWS Tags and why are they used?

⭐️ Intermediate Level
31. How do you secure data at rest and in transit in AWS?
32. Explain the difference between AWS S3 Standard and S3 Glacier.
33. How does AWS S3 versioning work?
34. What is AWS Elasticache?
35. Explain the concept of a bastion host.
36. How do you implement high availability in AWS?
37. What is AWS Direct Connect?
38. What are AWS Managed Services?
39. What is AWS Config?
40. How do you set up cross-region replication in S3?
41. Explain AWS KMS.
42. What is Amazon Redshift?
43. How does AWS handle data encryption?
44. What is Amazon EFS?
45. Explain AWS Elastic Transcoder.
46. What is AWS CodePipeline?
47. How do you implement disaster recovery in AWS?
48. What is AWS OpsWorks?
49. What is AWS Step Functions?
50. Explain the difference between Spot Instances and Reserved Instances.
51. What is Amazon SWF?
52. How do you secure an AWS API Gateway?
53. What are Placement Groups in AWS?
54. What is AWS CodeDeploy?
55. How does Amazon Athena work?
56. What is AWS Snowball?
57. Explain the concept of AWS CloudHSM.
58. What is AWS X-Ray?
59. How do you manage secrets in AWS?
60. Explain AWS Systems Manager.

⭐️ Advanced Level
61. What is the difference between horizontal and vertical scaling in AWS?
62. How does AWS Lambda handle cold starts?
63. What is a VPC peering connection and how does it work?
64. Explain the use of AWS Transit Gateway.
65. What is Amazon EKS?
66. How do you manage multi-account AWS environments?
67. Explain the concept of serverless architecture in AWS.
68. What are AWS Organizations?
69. How do you optimize costs in AWS?
70. What are the best practices for securing an AWS environment?


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

🔥 10 DevOps projects
❤️‍🔥 Step-by-Step Implementation (Beginners to Advance Level):

1⃣. Jenkins CI/CD pipeline with GitHub webhook integration for Deploying Docker application on EC2 instances using the declarative pipeline.
🔗 : https://lnkd.in/dbpafr7z

🔢. Jenkins Declarative Pipeline.
🔗 : https://lnkd.in/dkE6Wv89

🔢. Host a static website using the AWS S3 bucket.
🔗 : https://lnkd.in/dK82dbrF

🔢. Deploy web app using Jenkins master and worker node.
🔗 : https://lnkd.in/dU2a7CgW

🔢. Deploying web app using Docker Swarm. (Production Ready).
🔗 : https://lnkd.in/dyE_79Gg

🔢. Deploy the Reddit clone web app, on the Kubernetes cluster.
🔗 : https://lnkd.in/dUKe5hch

🔢. Installation and setup of Grafana on the local environment - Part -1.
🔗 : https://lnkd.in/dB7z7wSK

🔢. Grafana Setup and How to monitor resources - Part -2.
🔗 : https://lnkd.in/dJx9w7Ge

🔢. Mount AWS S3 Bucket on Amazon EC2 Linux Using S3FS.
🔗 : https://lnkd.in/dr2wbxRQ

1⃣0⃣. Deploy React Django web app, using AWS ECR and ECS.
🔗 : https://lnkd.in/deMKn_7Z

📣 Credit To :- Chetan R ☁️
Thanks for Sharing valuable information.
#freelearning #freeknowledge #devops #devopscommunity


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

🌟 Azure DevOps: Zero to Hero Series 🌟

Hey everyone! 🚀 Ready to elevate your DevOps skills? Check out our comprehensive "Azure DevOps Zero to Hero" series on Dev.to! This series covers everything you need to know about Azure DevOps, from the basics to advanced concepts, with hands-on demos and real-world projects.

🖥 Read the full series here: Azure DevOps Zero to Hero Series

➡️What You'll Learn:

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

➡️Why Follow This Series?

- 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.

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

🐬 Docker Networking:

When Containers Talk: Decoding the Secret Language of Docker Networking.

🔢: Bridge (Default):
➡️ The default, isolated network where containers get unique IP addresses and can communicate with other containers on the same host.

➡️Use Cases:
➡️ Ideal for most containerized applications that need network isolation and communication within the host.
➡️ Well-suited for development, testing, and staging environments.

🔢: None:
➡️ Disables networking entirely, isolating the container from any network.

➡️Use Cases:
➡️ Niche use cases where no network access is required (e.g., headless tasks, security-sensitive processes).
➡️ Not recommended for general-purpose container usage.

🔢: Host:
➡️ Shares the host's network namespace, allowing containers to directly use the host's IP address and ports.

➡️Use Cases:
➡️ Exposing container services to the host's network without complex port mappings.
➡️ Useful for testing and development, but exercise caution due to potential security risks in production.

🔢: Overlay:
➡️ Description: Creates a virtual network across multiple Docker hosts, enabling container communication regardless of their physical location.

➡️Use Cases:
➡️ Orchestrated deployments with Docker Swarm or Kubernetes where containers need to communicate across hosts.
➡️ Highly scalable network for distributed applications.


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

𝑰𝒇 𝒚𝒐𝒖'𝒓𝒆 𝒖𝒏𝒔𝒖𝒓𝒆 𝒂𝒃𝒐𝒖𝒕 𝒕𝒉𝒆 𝒔𝒑𝒆𝒄𝒊𝒇𝒊𝒄 𝒓𝒆𝒔𝒑𝒐𝒏𝒔𝒊𝒃𝒊𝒍𝒊𝒕𝒊𝒆𝒔 𝒐𝒇 𝒕𝒉𝒆𝒔𝒆 𝒓𝒐𝒍𝒆𝒔, 𝒅𝒆𝒕𝒂𝒊𝒍𝒆𝒅 𝒆𝒙𝒑𝒍𝒂𝒏𝒂𝒕𝒊𝒐𝒏𝒔 𝒂𝒓𝒆 𝒑𝒓𝒐𝒗𝒊𝒅𝒆𝒅 𝒃𝒆𝒍𝒐𝒘

1. 𝐃𝐞𝐯𝐎𝐩𝐬 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫
Bridges the gap between development and operations teams.
Automates build, test, and deployment processes.
Implements continuous integration and continuous delivery (CI/CD) pipelines.
Manages infrastructure as code (IaC) using tools like Terraform or Ansible.
Ensures system availability, performance, and scalability.

2. 𝐒𝐑𝐄 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫 (𝐒𝐢𝐭𝐞 𝐑𝐞𝐥𝐢𝐚𝐛𝐢𝐥𝐢𝐭𝐲 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫)
Focuses on reliability and performance of systems.
Builds and maintains scalable and efficient infrastructure.
Automates routine tasks and creates self-service tools.
Defines and tracks service level objectives (SLOs) and error budgets.
Handles incidents and performs root cause analysis.

3. 𝐂𝐥𝐨𝐮𝐝 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫
Manages and maintains cloud infrastructure (AWS, Azure, GCP).
Optimizes cloud costs and resource utilization.
Ensures cloud security and compliance.
Migrates workloads to the cloud.
Automates cloud provisioning and management.

4. 𝐏𝐥𝐚𝐭𝐟𝐨𝐫𝐦 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫
Builds and maintains the platform used by development teams.
Provides self-service tools and APIs for developers.
Ensures platform stability, performance, and scalability.
Collaborates with developers and infrastructure teams.
Automates platform provisioning and management.

5. 𝐃𝐞𝐯𝐒𝐞𝐜𝐎𝐩𝐬 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫
Integrates security into the DevOps pipeline.
Conducts security assessments and vulnerability scanning.
Implements security controls and best practices.
Develops secure coding standards and guidelines.


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

🚀Connecting to Your Kubernetes Cluster with Kubectl: A Quick Guide! 🚀

Imagine this: It's your first day on a new project, and you're tasked with deploying an app on a Kubernetes cluster. You feel a mix of excitement and a bit of nervousness. Your mentor leans over and says, "Let's connect to our Kubernetes cluster using kubectl!"
Here's how we did it, step-by-step:

🌏 Step 1: Install Kubectl First, we ensured
kubectl was installed. If you haven’t already, download and install it from the official Kubernetes site.

⚙️ Step 2: Configure Kubectl
Next, we set up the kubeconfig file to authenticate and point kubectl to our cluster. We got the config file from our cluster admin and saved it to ~/.kube/config.

📋Step 3: Verify the Connection Finally, we verified our connection. A simple command showed we were connected and ready to deploy! Seeing the list of pods pop up on the terminal.


📱 𝐅𝐨𝐥𝐥𝐨𝐰 @devcloudninjas 𝐟𝐨𝐫 𝐦𝐨𝐫𝐞 𝐬𝐮𝐜𝐡 𝐜𝐨𝐧𝐭𝐞𝐧𝐭 𝐚𝐫𝐨𝐮𝐧𝐝 𝐜𝐥𝐨𝐮𝐝 & 𝐃𝐞𝐯𝐎𝐩𝐬!!!

⏩ Kubernetes Cost Reduction Techniques

Each technique enables organizations to optimize Kubernetes usage and minimize expenses

𝟭. 𝗥𝗶𝗴𝗵𝘁-𝘀𝗶𝘇𝗶𝗻𝗴 𝗿𝗲𝘀𝗼𝘂𝗿𝗰𝗲𝘀:
Analyze app resource usage, adjust CPU/memory as needed. Avoid over-provisioning to save costs

𝟮. 𝗘𝗳𝗳𝗶𝗰𝗶𝗲𝗻𝘁 𝗡𝗼𝗱 & 𝗣𝗼𝗱 𝗔𝘂𝘁𝗼 𝗦𝗰𝗮𝗹𝗶𝗻𝗴:
Enable cluster auto-scaling and use Horizontal Pod Autoscaler (HPA) and Vertical Pod Autoscaler (VPA) to add or remove nodes / pods based on resource utilization, reducing idle costs

𝟯. 𝗣𝗼𝗱 𝗗𝗶𝘀𝗿𝘂𝗽𝘁𝗶𝗼𝗻 𝗕𝘂𝗱𝗴𝗲𝘁 (𝗣𝗗𝗕):
Set up PDBs to control how many pods of a specific deployment or replica set can be down simultaneously during disruptions, ensuring high availability without overprovisioning

𝟰. 𝗡𝗼𝗱𝗲 𝗧𝗮𝗶𝗻𝘁𝗶𝗻𝗴 𝗮𝗻𝗱 𝗧𝗼𝗹𝗲𝗿𝗮𝘁𝗶𝗼𝗻:
Taint nodes for workload-specific delays, prioritize critical tasks on untainted nodes, and use cheaper tainted nodes for less critical tasks

𝟱. 𝗖𝗼𝗻𝘁𝗮𝗶𝗻𝗲𝗿 𝗥𝗲𝗴𝗶𝘀𝘁𝗿𝘆 & 𝗜𝗺𝗮𝗴𝗲 𝗢𝗽𝘁𝗶𝗺𝗶𝘇𝗮𝘁𝗶𝗼𝗻:
Use cost-efficient container registry, follow image best practices (e.g., multi-stage builds) for smaller images and reduced pull times & storage costs

𝟲. 𝗦𝗽𝗼𝘁 𝗶𝗻𝘀𝘁𝗮𝗻𝗰𝗲𝘀:
Utilize spot instances for non-critical tasks; they're cheaper but can be terminated quickly. Ideal for stateless, fault-tolerant apps


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

▶️ Getting into DevOps can be 100% free and 100% project-based:


5 real-world DevOps projects that can add to your resume

🔢. Terraform To Deploy AWS Lambda Function With S3 Trigger
⚡️ https://lnkd.in/g4HKF_SA

🔢. Securely Connect EC2 Instances To S3 Buckets Via a Private Network With the VPC Gateway Endpoint - Terraform Implementation
⚡️ https://lnkd.in/gfU5yxMy

🔢. Deploy A highly Secure 3-Tier Infrastructure On AWS With Terraform And GitHub Action
⚡️ https://lnkd.in/gfmhPbjq

🔢. Continuously Build & Deploy Python Web App On AWS With GitHub Action
⚡️ https://lnkd.in/g9sxVhte

🔢. Docker compose to run a web application with Flask and Postgres containers.
⚡️ https://lnkd.in/gZ5ANRjz


🎄 𝗙𝗼𝗹𝗹𝗼𝘄 @devcloudninjas 𝐟𝐨𝐫 𝐦𝐨𝐫𝐞 𝐬𝐮𝐜𝐡 𝐜𝐨𝐧𝐭𝐞𝐧𝐭 𝐚𝐫𝐨𝐮𝐧𝐝 𝐜𝐥𝐨𝐮𝐝 & 𝐃𝐞𝐯𝐎𝐩𝐬!!! // 𝐉𝐨𝐢𝐧 𝐟𝐨𝐫 𝐃𝐞𝐯𝐎𝐩𝐬 𝐃𝐎𝐂𝐬: @devcloudninjas

🐧 𝐇𝐞𝐫𝐞 𝐚𝐫𝐞 𝐬𝐨𝐦𝐞 𝐜𝐨𝐦𝐦𝐨𝐧 𝐞𝐫𝐫𝐨𝐫𝐬 𝐢𝐧 𝐋𝐢𝐧𝐮𝐱 𝐚𝐧𝐝 𝐭𝐡𝐞𝐢𝐫 𝐬𝐨𝐥𝐮𝐭𝐢𝐨𝐧𝐬:

1⃣. 🚫 𝐂𝐨𝐦𝐦𝐚𝐧𝐝 𝐍𝐨𝐭 𝐅𝐨𝐮𝐧𝐝 🚫
𝐄𝐫𝐫𝐨𝐫: 🚫 When you try to run a command, and Linux responds with "𝐜𝐨𝐦𝐦𝐚𝐧𝐝 𝐧𝐨𝐭 𝐟𝐨𝐮𝐧𝐝."
𝐒𝐨𝐥𝐮𝐭𝐢𝐨𝐧: 🛠 Ensure that the command is spelled correctly and that the program is installed. Use the 𝐰𝐡𝐢𝐜𝐡 or 𝐰𝐡𝐞𝐫𝐞𝐢𝐬 command to locate the executable and check your system's PATH variable.

🔢. 𝐏𝐞𝐫𝐦𝐢𝐬𝐬𝐢𝐨𝐧 𝐃𝐞𝐧𝐢𝐞𝐝:
𝐄𝐫𝐫𝐨𝐫: 🔒 You don't have the necessary permissions to access or modify a file or directory.
𝐒𝐨𝐥𝐮𝐭𝐢𝐨𝐧: 🔓Use the 𝐜𝐡𝐦𝐨𝐝 command to change permissions, and 𝐜𝐡𝐨𝐰𝐧 to change ownership. You may need to use 𝐬𝐮𝐝𝐨 to gain superuser privileges.

🔢. 𝐍𝐨 𝐒𝐩𝐚𝐜𝐞 𝐋𝐞𝐟𝐭 𝐨𝐧 𝐃𝐞𝐯𝐢𝐜𝐞:
𝐄𝐫𝐫𝐨𝐫: 💾 This error occurs when your disk is full.
𝐒𝐨𝐥𝐮𝐭𝐢𝐨𝐧: 🗑 You need to free up space by deleting unnecessary files or moving them to another disk. You can use the 𝐝𝐟 & 𝐝𝐮 commands to identify space hogs.

🔢. 𝐃𝐞𝐩𝐞𝐧𝐝𝐞𝐧𝐜𝐲 𝐈𝐬𝐬𝐮𝐞𝐬:
𝐄𝐫𝐫𝐨𝐫: A program won't run because it's missing dependencies.
𝐒𝐨𝐥𝐮𝐭𝐢𝐨𝐧: Use your package manager (e.g., apt, yum, dnf) to install the missing libraries or packages.

🔢. 𝐍𝐞𝐭𝐰𝐨𝐫𝐤 𝐈𝐬𝐬𝐮𝐞𝐬:
𝐄𝐫𝐫𝐨𝐫: Network connectivity problems, such as no internet connection.
𝐒𝐨𝐥𝐮𝐭𝐢𝐨𝐧: Check your network settings, restart the network service (𝐬𝐲𝐬𝐭𝐞𝐦𝐜𝐭𝐥 𝐫𝐞𝐬𝐭𝐚𝐫𝐭 𝐍𝐞𝐭𝐰𝐨𝐫𝐤𝐌𝐚𝐧𝐚𝐠𝐞𝐫), or troubleshoot using tools like 𝐩𝐢𝐧𝐠, 𝐢𝐟𝐜𝐨𝐧𝐟𝐢𝐠, 𝐚𝐧𝐝 𝐧𝐦𝐜𝐥𝐢.

🔢. 𝐅𝐢𝐥𝐞𝐬𝐲𝐬𝐭𝐞𝐦 𝐂𝐨𝐫𝐫𝐮𝐩𝐭𝐢𝐨𝐧:
𝐄𝐫𝐫𝐨𝐫: The filesystem reports errors, or you can't access files.
𝐒𝐨𝐥𝐮𝐭𝐢𝐨𝐧: Use filesystem repair tools like 𝐟𝐬𝐜𝐤 to fix errors.

🔢. 𝐒𝐭𝐮𝐜𝐤 𝐏𝐫𝐨𝐜𝐞𝐬𝐬:
𝐄𝐫𝐫𝐨𝐫: A process is stuck and not responding.
𝐒𝐨𝐥𝐮𝐭𝐢𝐨𝐧: Use the 𝐤𝐢𝐥𝐥 command to terminate the process.

🔢. 𝐒𝐥𝐨𝐰 𝐒𝐲𝐬𝐭𝐞𝐦:
𝐄𝐫𝐫𝐨𝐫: Your system is slow and unresponsive.
𝐒𝐨𝐥𝐮𝐭𝐢𝐨𝐧: Identify resource-hungry processes with commands like 𝐭𝐨𝐩 𝐨𝐫 𝐡𝐭𝐨𝐩, and consider adding more 𝐑𝐀𝐌 or upgrading your 𝐡𝐚𝐫𝐝𝐰𝐚𝐫𝐞.

🔢. 𝐈𝐧𝐨𝐝𝐞 𝐄𝐱𝐡𝐚𝐮𝐬𝐭𝐞𝐝:
𝐄𝐫𝐫𝐨𝐫: When you run out of available 𝐢𝐧𝐨𝐝𝐞𝐬 on a file system.
𝐒𝐨𝐥𝐮𝐭𝐢𝐨𝐧: Delete unnecessary files and directories or reformat the partition with a larger 𝐢𝐧𝐨𝐝𝐞 count.

1⃣0⃣. 𝐂𝐨𝐦𝐦𝐚𝐧𝐝 𝐒𝐲𝐧𝐭𝐚𝐱 𝐄𝐫𝐫𝐨𝐫𝐬:
𝐄𝐫𝐫𝐨𝐫: 🤔 You get errors related to the syntax of a command.
𝐒𝐨𝐥𝐮𝐭𝐢𝐨𝐧: Review the command's syntax, consult the manual pages (use 𝐦𝐚𝐧), or check online resources for the correct usage.

1⃣1⃣. 𝐅𝐢𝐥𝐞 𝐍𝐨𝐭 𝐅𝐨𝐮𝐧𝐝:
𝐄𝐫𝐫𝐨𝐫:📁 File not found
𝐒𝐨𝐥𝐮𝐭𝐢𝐨𝐧: 🧐 Verify file location and name. Use the ls command to list files in a directory.



📱 𝐅𝐨𝐥𝐥𝐨𝐰 @devcloudninjas 𝐟𝐨𝐫 𝐦𝐨𝐫𝐞 𝐬𝐮𝐜𝐡 𝐜𝐨𝐧𝐭𝐞𝐧𝐭 𝐚𝐫𝐨𝐮𝐧𝐝 𝐜𝐥𝐨𝐮𝐝 & 𝐃𝐞𝐯𝐎𝐩𝐬!!!

🚀 Essential Docker Commands for DevOps Engineers 🐳


📌 Docker Basics:
- docker --version: Check Docker version.
- docker info: Get system-wide information.
- docker help: Get help with Docker commands.

📌 Container Lifecycle:
- docker run [OPTIONS] IMAGE [COMMAND] [ARG...]: Run a container.
- docker ps: List running containers.
- docker ps -a: List all containers.
- docker stop CONTAINER: Stop a running container.
- docker start CONTAINER: Start a stopped container.
- docker restart CONTAINER: Restart a container.
- docker rm CONTAINER: Remove a container.
- docker kill CONTAINER: Kill a running container.

📌 Images:
- docker images: List images.
- docker pull IMAGE: Pull an image from a registry.
- docker build -t TAG .: Build an image from a Dockerfile.
- docker rmi IMAGE: Remove an image.

📌 Networking:
- docker network ls: List networks.
- docker network create NETWORK: Create a network.
- docker network connect NETWORK CONTAINER: Connect a container to a network.
- docker network disconnect NETWORK CONTAINER: Disconnect a container from a network.

📌 Volumes:
- docker volume ls: List volumes.
- docker volume create VOLUME: Create a volume.
- docker volume rm VOLUME: Remove a volume.

📌 Docker Compose:
- docker-compose up: Start services defined in a Compose file.
- docker-compose down: Stop services defined in a Compose file.
- docker-compose build: Build or rebuild services.
- docker-compose logs: View output from services.

📌 Inspect & Logs:
- docker inspect CONTAINER/IMAGE: Display detailed information.
- docker logs CONTAINER: Fetch the logs of a container.
- docker exec -it CONTAINER bash: Access a running container.

Stay efficient and automate smartly! 💪


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