📣 New to DevOps? 📣

Here are the most widely used tools in the industry along with their official documentation:

➡️ Source Code Management:

1. Git: https://git-scm.com/docs
2. GitHub: https://docs.github.com/en
3. Bitbucket: https://lnkd.in/dA2PcM_w

➡️ Ticketing Tools:

1. Service Now: https://lnkd.in/d69yubJF
2. Jira: https://lnkd.in/dD_WcXFQ
3. Trello: https://trello.com/guide

➡️ Public Clouds:

1. AWS: https://lnkd.in/dMa9XpMa
2. Azure: https://lnkd.in/dBsJtZHy
3. GCP: https://lnkd.in/d3hmN-Jr

➡️ Containerization and Orchestration Tools:

1. Docker: https://docs.docker.com/
2. Kubernetes: https://lnkd.in/dZXfQEqW
3. Mesos: https://lnkd.in/dqzvzJhY

➡️ Deployment Tools:

1. Terraform: https://lnkd.in/dM46h2_D
2. Octopus: https://octopus.com/docs
3. Heroku: https://lnkd.in/dCDuwvcj

➡️ Testing Tools:

1. Selenium: https://lnkd.in/dTnFN8bT
2. Cucumber: https://lnkd.in/dpmD4A9C
3. Postman: https://lnkd.in/d3xERi6c

➡️ Build Tools:

1. Maven: https://lnkd.in/dfgBnrZj
2. Gradle: https://lnkd.in/dv6rQczZ
3. Ant: https://lnkd.in/dQgMsgef

➡️ Pipeline Tools:

1. Jenkins: https://lnkd.in/dPmA6-ff
2. TravisCI: https://lnkd.in/dxxFaK_X
3. Argo CD: https://lnkd.in/dK5eXbYi

➡️ Monitoring Tools:

1. Grafana: https://lnkd.in/dX5anVq9
2. Prometheus: https://lnkd.in/ddxjc9bV


🚀 Follow for more DevOps content, tips and tricks, and Hands-On Project Implementation.


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

⏩ 5 Cloud Projects to Help You Land a Junior Cloud Engineer Role

➡️ Or you can use this to start your portfolio!!

➡️Each includes simple steps and links to helpful guides.

𝟭. 𝗖𝗿𝗲𝗮𝘁𝗲 𝗮 𝗦𝗶𝗺𝗽𝗹𝗲 𝗪𝗲𝗯𝘀𝗶𝘁𝗲 𝗨𝘀𝗶𝗻𝗴 𝘁𝗵𝗲 𝗖𝗹𝗼𝘂𝗱
𝗦𝗸𝗶𝗹𝗹𝘀: Terraform, cloud setup, Git.
1. Use 𝗧𝗲𝗿𝗿𝗮𝗳𝗼𝗿𝗺 to create a cloud computer (e.g., AWS EC2 instance).
2. Install a web server (like Apache) and host a basic webpage.
3. Document everything and share it on GitHub.

𝗛𝗲𝗹𝗽𝗳𝘂𝗹 𝗟𝗶𝗻𝗸𝘀:
- Terraform Documentation
- AWS EC2 Quick Start

𝟮. 𝗕𝘂𝗶𝗹𝗱 𝗮 𝗡𝗲𝘁𝘄𝗼𝗿𝗸 𝗠𝗼𝗻𝗶𝘁𝗼𝗿𝗶𝗻𝗴 𝗧𝗼𝗼𝗹
𝗦𝗸𝗶𝗹𝗹𝘀: Python, Bash, networking basics.
1. Write a Python script to check if websites are working.
2. Add extra features like connection speed checks.
3. Show results using a tool like 𝗚𝗿𝗮𝗳𝗮𝗻𝗮.

𝗛𝗲𝗹𝗽𝗳𝘂𝗹 𝗟𝗶𝗻𝗸𝘀:
- Python Networking Guide
- Grafana Setup Guide

𝟯. 𝗔𝘂𝘁𝗼𝗺𝗮𝘁𝗲 𝗖𝗼𝗱𝗲 𝗧𝗲𝘀𝘁𝗶𝗻𝗴 𝘄𝗶𝘁𝗵 𝗖𝗜/𝗖𝗗
𝗦𝗸𝗶𝗹𝗹𝘀: Git, Docker, AWS CodePipeline.
1. Create a small app in Python or another language.
2. Package the app using 𝗗𝗼𝗰𝗸𝗲𝗿.
3. Set up a cloud-based CI/CD pipeline for automated testing.

𝗛𝗲𝗹𝗽𝗳𝘂𝗹 𝗟𝗶𝗻𝗸𝘀:
- Git Basics
- Docker Documentation
- AWS CodePipeline Guide

𝟰. 𝗔𝘂𝘁𝗼𝗺𝗮𝘁𝗲 𝗖𝗹𝗼𝘂𝗱 𝗖𝗹𝗲𝗮𝗻𝘂𝗽
𝗦𝗸𝗶𝗹𝗹𝘀: Bash, Python, cloud cost management.
1. Write a script to find unused cloud resources like idle servers.
2. Automate the script to run daily.
3. Generate a report showing savings.

𝗛𝗲𝗹𝗽𝗳𝘂𝗹 𝗟𝗶𝗻𝗸𝘀:
- AWS Boto3 for Python
- Azure CLI Documentation

𝟱. 𝗦𝗲𝘁 𝗨𝗽 𝗮 𝗖𝗹𝗼𝘂𝗱 𝗕𝗮𝗰𝗸𝘂𝗽 𝗦𝘆𝘀𝘁𝗲𝗺
𝗦𝗸𝗶𝗹𝗹𝘀: Bash, PowerShell, cloud storage.
1. Write a script to copy files from your computer to cloud storage (e.g., AWS S3).
2. Enable versioning to keep multiple file copies.
3. Test by recovering a file.

𝗛𝗲𝗹𝗽𝗳𝘂𝗹 𝗟𝗶𝗻𝗸𝘀:
- AWS S3 Documentation
- Azure Blob Storage Guide


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

🚀 DevOps Project 33: Ultimate DevSecOps CI/CD Pipeline To deploy 3-Tier Application in Kubernetes


☁️ Project Repository: DevOps Project 33 on GitHub


➡️ What You'll Learn:
✅ Streamline the deployment of secure and scalable 3-tier applications.
✅ Implement end-to-end DevSecOps practices for secure code delivery.
✅ Master CI/CD pipelines with automated security scanning.
✅ Deploy containerized applications seamlessly into Kubernetes clusters.

📂 Key Highlights:
🔸 Secure DevOps Workflow Integration.
🔸 Automated Testing and Vulnerability Scanning.
🔸 Deployment in Multi-Tier Architecture.
🔸 Kubernetes Manifest Optimization and Helm Chart Usage.

💡 Perfect For:
Anyone looking to elevate their DevSecOps and Kubernetes skills, from DevOps engineers to Cloud enthusiasts.

📌 Stay Ahead in the DevOps Game!


❤️‍🔥 Share with friends and learning aspirants ❤️‍🔥

📣 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

Limited Sale on the Ultimate DevOps Bootcamp!

Are you ready to take your DevOps skills to the next level? 🚀


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Just had an Great interview experience for the role of a DevOps Engineer with 1-2 years of experience! ✨

I recently had the opportunity to interview for a DevOps Engineer position, and I wanted to share some of the questions that were asked during the process. Whether you're preparing for a similar role or just interested in the DevOps field, I hope you find these questions helpful!

✅ Regarding Self Introduction and DevOps:
1) Could you Please Introduce yourself Briefly about your background and your project ?
2) What Does DevOps Means and how DevOps is Different from Other Department in IT Industry ?
3) What Happen when DevOps comes in IT Industry ?
4) Could you please Explain me About your last project have you worked on and what was you roles and responsibility ?

✅ About Linux OS:
1) What are Different OS have you Familiar with and worked on ?
2) What is Kernel ?
3) which Linux version you used in your project ?
4) why we Used Linux OS Rather than Windows and any other ?

✅ About Git GitHub and Gitlab:
1) What is Git, GitHub and Gitlab what is the difference between them ?
2) what is Merge and Rebase ?
3) How do you revert a commit in Git ?
4) Explain the difference between Git pull and Git fetch ?
5) Explain the Branching Strategies have you used in your project

✅ About CICD with Jenkins:
1) what is CICD and explain me the Jenkins file and Its Stages ?
2) In which phase Testing will do In CI phase or in CD phase ?
3) how did you used Jenkins in your project ?
4) Describe the process of setting up a Jenkins job to automate a build process ?

✅ About Docker and K8S:
1) What Does mean by containerization and Orchestration ?
2) What is a Docker image, and how is it different from a Docker container?
3) How do you manage data persistence in Docker containers?
4) Have you Used docker Compose ?
5) could you Explain me a Docker File for Node ?
6) How do you secure a MySQL Data which is Running in my container ?
7) what is Ingress and Deployment in K8S ?
8) what is Services in K8S ?
9) How can K8S control and manage a containers ?

✅ Some Scenarios Questions:
1) Your company is planning to implement a disaster recovery (DR) strategy for its critical services hosted on AWS. Describe the steps you would take to design and implement a robust DR plan, including backup strategies, failover mechanisms, and testing procedures.


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

⚡️For those 9,999,999,999 boys and girls who get confused about Kubernetes architecture components and what they do.

➡️Here we simplified it for you.


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

🔖 I call it 'DevOps Day 0' Roadmap 👇


⚡️Linux: File Systems, Package Management, Systemd, Permissions, Logs, Disk and Process Management

⚡️Networking: TCP/IP, DNS, HTTP/S, VPN, Load Balancers, Firewalls, Network Protocols, Subnetting

⚡️Database: SQL vs. NoSQL, ACID Properties, Scalability, Data Modeling

⚡️Security: Encryption, Authentication, Authorization, OWASP Top 10, Security Policies, Risk Assessment, Compliance Standards (like GDPR, HIPAA).

⚡️Storage: Block Storage, Object Storage, File Storage, NAS, SAN, SSD vs. HDD.

⚡️Cache: In-memory Caches (Redis, Memcached), CDN, Cache Invalidation, Write-through vs. Write-back Cache, Cache Hit Ratio.

⚡️DR: Backup and Restore, Pilot Light, Warm Standby, Multi-site, RTO (Recovery Time Objective), RPO (Recovery Point Objective).

DevOps is 20% building, 80% optimizing and operating.

Get the 'Day 0' basics right before jumping into tools.

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

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

🔖What is Kubernetes, and how does it work?

Kubernetes (K8s) is an open-source platform designed to manage containerized applications at scale.

It automates deployment, scaling, and management, making it easier to handle complex, distributed applications in dynamic environments.

‼️𝗦𝗼 𝗵𝗼𝘄 𝗱𝗼𝗲𝘀 𝗞𝘂𝗯𝗲𝗿𝗻𝗲𝘁𝗲𝘀 𝘄𝗼𝗿𝗸?

A Kubernetes 𝗰𝗹𝘂𝘀𝘁𝗲𝗿 consists of a set of worker machines, called 𝗻𝗼𝗱𝗲𝘀, that run containerized applications.

The worker nodes host 𝗣𝗼𝗱𝘀, which are the components of your application workload. The 𝗰𝗼𝗻𝘁𝗿𝗼𝗹 𝗽𝗹𝗮𝗻𝗲 oversees the nodes and Pods, managing deployment, scaling, and maintenance.

In production environments, the control plane is distributed across multiple servers for fault-tolerance and high availability.

‼️𝗞𝟴𝘀 𝗵𝗮𝘀 𝗺𝗮𝗻𝘆 𝗰𝗼𝗺𝗽𝗼𝗻𝗲𝗻𝘁𝘀, 𝘀𝗼𝗺𝗲 𝗼𝗳 𝘁𝗵𝗲 𝗺𝗼𝘀𝘁 𝗸𝗲𝘆 𝗶𝗻𝗰𝗹𝘂𝗱𝗲:

🔸 Node: machines (physical or virtual) where Kubernetes runs workloads

🔸 Pod: the smallest deployable unit, encapsulating one or more containers

🔸 Service: abstracts and exposes Pods via a stable IP or DNS, enabling communication

🔸 Control plane: the brain of the cluster, consisting of key components like:

🔸 API server: the main entry point for all cluster management requests

🔸 Scheduler: assigns Pods to Nodes based on resource availability

🔸 Controller manager: runs controllers to maintain the desired state of the cluster

🔸 etcd: stores cluster configuration and state as a distributed key-value store

ℹ️ 𝗖𝗼𝗿𝗲 𝗳𝗲𝗮𝘁𝘂𝗿𝗲𝘀:

🔹 Auto-scaling: adjusts workloads dynamically

🔹 Self-healing: detects and replaces failed containers

🔹 Load balancing: distributes traffic to maintain reliability

🔹 Multi-cloud support: works seamlessly across environments

🔹 Declarative configurations: use YAML/JSON files to manage states

ℹ️ 𝗞𝘂𝗯𝗲𝗿𝗻𝗲𝘁𝗲𝘀 𝗶𝘀 𝗰𝗼𝗺𝗺𝗼𝗻𝗹𝘆 𝘂𝘀𝗲𝗱 𝗶𝗻 𝗮 𝘄𝗶𝗱𝗲 𝗿𝗮𝗻𝗴𝗲 𝗼𝗳 𝗮𝗽𝗽𝗹𝗶𝗰𝗮𝘁𝗶𝗼𝗻𝘀. 𝗔 𝗳𝗲𝘄 𝗼𝗳 𝘁𝗵𝗲 𝗺𝗼𝘀𝘁 𝗰𝗼𝗺𝗺𝗼𝗻 𝗶𝗻𝗰𝗹𝘂𝗱𝗲:

Microservices deployment: simplifies managing and scaling containerized microservices

CI/CD pipelines: automates build, test, and deployment workflows

Cloud-native apps: powers dynamic and portable cloud-based applications

Batch processing: handles large-scale data and computational jobs efficiently

Event-driven applications: enables real-time data processing and IoT solutions

Scaling stateful applications: supports persistent storage for databases and critical workloads

Kubernetes brings scalability, reliability, and automation to containerized applications. While it has a steep learning curve and adds complexity, its benefits make it indispensable for managing modern, distributed systems.


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

🚨 𝐍𝐚𝐮𝐤𝐫𝐢 𝐭𝐫𝐢𝐜𝐤𝐬 𝐰𝐡𝐢𝐜𝐡 𝐰𝐨𝐫𝐤𝐬 𝐢𝐧 𝟐𝟎𝟐𝟓

💎 𝐓𝐫𝐲 𝐭𝐡𝐞𝐬𝐞 𝐡𝐚𝐜𝐤𝐬 𝐟𝐨𝐫 𝐦𝐨𝐫𝐞 𝐢𝐧𝐭𝐞𝐫𝐯𝐢𝐞𝐰 𝐜𝐚𝐥𝐥𝐬

- Replace career gap by freelance in resume
- Create multiple naukri profile based on location
- Upadte job profile everyday in morning
- Add hot keywords related to job in resume
- Everyday apply for max job openings
- Check job desc to get those keywords
- For ex for DE: Pyspark, ADF, Databricks
- Find HR & send DM/ mails personally
- Make job profiles on multiple job portals
- Try all job searching platforms
- Like LinkedIn, referrals, Frnd N/w

Try some of these hacks and very sure you will get better calls than before.

▶️ PS : Easiest way to become lucky is to try more


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

🔍 𝗪𝗵𝗮𝘁 𝗶𝘀 𝗖𝗜/𝗖𝗗?


🔘 𝗖𝗼𝗻𝘁𝗶𝗻𝘂𝗼𝘂𝘀 𝗜𝗻𝘁𝗲𝗴𝗿𝗮𝘁𝗶𝗼𝗻 (𝗖𝗜): The practice of frequently integrating code changes into a shared repository. This helps catch errors early, reducing integration issues later.

🔘 𝗖𝗼𝗻𝘁𝗶𝗻𝘂𝗼𝘂𝘀 𝗗𝗲𝗽𝗹𝗼𝘆𝗺𝗲𝗻𝘁 (𝗖𝗗): Automates the deployment process, enabling your application to move smoothly from development to production with minimal manual intervention.


💥 𝗕𝗲𝗻𝗲𝗳𝗶𝘁𝘀 𝗼𝗳 𝗮 𝗖𝗜/𝗖𝗗 𝗣𝗶𝗽𝗲𝗹𝗶𝗻𝗲

✅ 𝗙𝗮𝘀𝘁𝗲𝗿 𝗥𝗲𝗹𝗲𝗮𝘀𝗲𝘀: Automating the deployment process ensures quick and reliable releases with minimal manual work.

✅ 𝗜𝗺𝗽𝗿𝗼𝘃𝗲𝗱 𝗖𝗼𝗱𝗲 𝗤𝘂𝗮𝗹𝗶𝘁𝘆: Frequent code integrations and automated tests ensure fewer defects and a smoother development cycle.

✅ 𝗥𝗲𝗱𝘂𝗰𝗲𝗱 𝗛𝘂𝗺𝗮𝗻 𝗘𝗿𝗿𝗼𝗿: By eliminating manual intervention, the pipeline minimizes the chances of errors during the build or deployment process.

✅ 𝗖𝗼𝗻𝘀𝗶𝘀𝘁𝗲𝗻𝗰𝘆: Automated builds ensure that every environment is set up the same way, reducing inconsistencies between stages.


⚙️ 𝗞𝗲𝘆 𝗖𝗼𝗺𝗽𝗼𝗻𝗲𝗻𝘁𝘀 𝗼𝗳 𝗮 𝗖𝗜/𝗖𝗗 𝗣𝗶𝗽𝗲𝗹𝗶𝗻𝗲

➡️𝗦𝗼𝘂𝗿𝗰𝗲 𝗖𝗼𝗻𝘁𝗿𝗼𝗹: Code is stored in version control systems like Git.

➡️𝗕𝘂𝗶𝗹𝗱: Code is compiled, dependencies are resolved and artifacts are generated.

➡️𝗧𝗲𝘀𝘁: Automated tests (unit tests, integration tests, etc.) are run to ensure code quality.

➡️𝗗𝗲𝗽𝗹𝗼𝘆: The application is deployed to staging and production environments.

➡️𝗠𝗼𝗻𝗶𝘁𝗼𝗿: Continuous monitoring helps track performance and detect issues early.


🔑 𝗕𝗲𝘀𝘁 𝗣𝗿𝗮𝗰𝘁𝗶𝗰𝗲𝘀 𝗳𝗼𝗿 𝗮 𝗦𝘂𝗰𝗰𝗲𝘀𝘀𝗳𝘂𝗹 𝗖𝗜/𝗖𝗗 𝗣𝗶𝗽𝗲𝗹𝗶𝗻𝗲

1️⃣ 𝗔𝘂𝘁𝗼𝗺𝗮𝘁𝗲 𝗘𝘃𝗲𝗿𝘆𝘁𝗵𝗶𝗻𝗴: From builds to tests and deployments make sure the pipeline is as automated as possible.

2️⃣ 𝗙𝗮𝗶𝗹 𝗙𝗮𝘀𝘁: Ensure that failing tests immediately notify developers, so they can address issues early.

3️⃣ 𝗨𝘀𝗲 𝗩𝗲𝗿𝘀𝗶𝗼𝗻𝗶𝗻𝗴: Use semantic versioning to track application changes.

4️⃣ 𝗜𝘁𝗲𝗿𝗮𝘁𝗲 𝗢𝗳𝘁𝗲𝗻: Keep improving and fine-tuning your pipeline for better performance and efficiency.


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

📛 𝗪𝗵𝘆 𝗶𝘀 𝗡𝗚𝗜𝗡𝗫 𝘀𝗼 𝗽𝗼𝗽𝘂𝗹𝗮𝗿? 📛

✨ 𝑺𝒖𝒓𝒑𝒓𝒊𝒔𝒊𝒏𝒈 𝑭𝒂𝒄𝒕𝒔 𝑨𝒃𝒐𝒖𝒕 𝑵𝑮𝑰𝑵𝑿:

1️⃣ 𝑵𝑮𝑰𝑵𝑿 𝒘𝒂𝒔𝒏’𝒕 𝒐𝒓𝒊𝒈𝒊𝒏𝒂𝒍𝒍𝒚 𝒄𝒓𝒆𝒂𝒕𝒆𝒅 𝒇𝒐𝒓 𝒃𝒊𝒈 𝒄𝒐𝒓𝒑𝒐𝒓𝒂𝒕𝒊𝒐𝒏𝒔—it started as a personal project to solve the C10k problem (handling 10,000 simultaneous connections).

2️⃣ 𝑰𝒕’𝒔 𝒏𝒐𝒕 𝒋𝒖𝒔𝒕 𝒇𝒐𝒓 𝒘𝒆𝒃 𝒉𝒐𝒔𝒕𝒊𝒏𝒈—NGINX is a favorite in microservices and containerized environments.

3️⃣ Many cloud-native services like 𝑲𝒖𝒃𝒆𝒓𝒏𝒆𝒕𝒆𝒔 𝒓𝒆𝒍𝒚 𝒐𝒏 𝑵𝑮𝑰𝑵𝑿 as an Ingress Controller for routing traffic.

Why NGINX powers over 30% of the world's websites and is a favorite among cloud enthusiasts?

💡 𝐊𝐞𝐲 𝐂𝐚𝐩𝐚𝐛𝐢𝐥𝐢𝐭𝐢𝐞𝐬 𝐨𝐟 𝐍𝐆𝐈𝐍𝐗

🌐 𝐇𝐢𝐠𝐡-𝐏𝐞𝐫𝐟𝐨𝐫𝐦𝐚𝐧𝐜𝐞 𝐖𝐞𝐛 𝐒𝐞𝐫𝐯𝐞𝐫:
NGINX excels at handling millions of requests per second while serving static and dynamic content effortlessly.

🔄 𝗥𝗲𝘃𝗲𝗿𝘀𝗲 𝗣𝗿𝗼𝘅𝘆 & 𝗟𝗼𝗮𝗱 𝗕𝗮𝗹𝗮𝗻𝗰𝗲𝗿:
It ensures traffic is distributed evenly across backend servers, improving performance and minimizing downtime.

🔐 𝗦𝗦𝗟 𝗧𝗲𝗿𝗺𝗶𝗻𝗮𝘁𝗶𝗼𝗻:
NGINX takes care of the complex encryption/decryption process, offloading this from your backend servers for faster response times.

⚡️ 𝗖𝗼𝗻𝘁𝗲𝗻𝘁 𝗖𝗮𝗰𝗵𝗶𝗻𝗴:
Its caching mechanism serves content from memory, reducing latency and improving page load speeds.

🛠𝗠𝗮𝘀𝘁𝗲𝗿-𝗪𝗼𝗿𝗸𝗲𝗿 𝗔𝗿𝗰𝗵𝗶𝘁𝗲𝗰𝘁𝘂𝗿𝗲:
NGINX uses a scalable process model, ensuring optimal utilization of system resources under high traffic.


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

⚡ 𝗠𝗮𝘀𝘁𝗲𝗿𝗶𝗻𝗴 𝗞𝘂𝗯𝗲𝗿𝗻𝗲𝘁𝗲𝘀 𝗗𝗲𝗽𝗹𝗼𝘆𝗺𝗲𝗻𝘁 𝗦𝘁𝗿𝗮𝘁𝗲𝗴𝗶𝗲𝘀! ⚡

Kubernetes offers a variety of deployment strategies to ensure smooth and efficient application updates. Here are some of the key strategies every DevOps engineer should know:

1️⃣ 𝑹𝒆𝒄𝒓𝒆𝒂𝒕𝒆 𝑫𝒆𝒑𝒍𝒐𝒚𝒎𝒆𝒏𝒕
Process: Terminates all old pods before creating new ones.
Use Case: Suitable for stateful applications where downtime is acceptable.

2️⃣ 𝑹𝒐𝒍𝒍𝒊𝒏𝒈 𝑼𝒑𝒅𝒂𝒕𝒆
Process: Gradually replaces old pods with new ones.
Use Case: Ideal for stateless applications to ensure zero downtime during updates.

3️⃣ 𝑩𝒍𝒖𝒆-𝑮𝒓𝒆𝒆𝒏 𝑫𝒆𝒑𝒍𝒐𝒚𝒎𝒆𝒏𝒕
Process: Runs two identical environments (blue and green) and switches traffic from blue to green.
Use Case: Ensures quick rollback if issues are detected, perfect for critical applications.

4️⃣ 𝑪𝒂𝒏𝒂𝒓𝒚 𝑫𝒆𝒑𝒍𝒐𝒚𝒎𝒆𝒏𝒕
Process: Releases new versions to a small subset of users before full rollout.
Use Case: Mitigates risk by testing updates on a limited scale.


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

🐧 The Linux file system isn't just a bunch of folders - it's the organizational bedrock of your entire system.

Mastering it can take your tech career to the next level. Here's why:
⏩ 𝗞𝗲𝘆 𝗗𝗶𝗿𝗲𝗰𝘁𝗼𝗿𝗶𝗲𝘀 & 𝗧𝗵𝗲𝗶𝗿 𝗥𝗼𝗹𝗲𝘀:
➡️ Root (/): The central hub, connecting everything.
➡️ Bin & Sbin: Essential tools for basic system operation and advanced tasks.
➡️ Etc: Configuration files that make your system tick.
➡️ Home: Your personal storage space for files and documents.
➡️ Var: Holds dynamic data like logs and emails, constantly changing.
➡️ Usr: A vast library of applications, libraries, and data used by the system.
➡️ Lib & Opt: Support files for other programs and optional software.
➡️ Tmp: Temporary storage for the system's ongoing work.
➡️ Boot & Dev: Responsible for booting the system and interacting with hardware.
➡️ Proc & Root: Special directories for system information and the root user.
➡️ Run & Srv: Temporary files for running processes and data for system services.
➡️ Sys & Mnt: Virtual system info and mount points for external storage.
➡️ Media: Where removable media like CDs and cameras connect.

⏩ 𝗪𝗵𝘆 𝗦𝗵𝗼𝘂𝗹𝗱 𝗬𝗼𝘂 𝗖𝗮𝗿𝗲?
Linux powers countless technologies, and familiarity with its file system gives you an edge in various tech fields:
✔️ Software Engineering: Navigating codebases and system files with ease.
✔️ DevOps: Automating tasks and managing infrastructure efficiently.
✔️ Data Engineering: Working with data stored on Linux systems.
✔️ AI: Understanding where data and resources are located.
✔️ System Administration: Maintaining and troubleshooting Linux systems like a pro.

⏩ 𝗞𝗻𝗼𝘄𝗶𝗻𝗴 𝘁𝗵𝗲 𝗳𝗶𝗹𝗲 𝘀𝘆𝘀𝘁𝗲𝗺:
🔶 Saves you time by finding files quickly.
🔶 Empowers you to troubleshoot issues effectively.
🔶 Makes you a valuable asset to any team.

⏩ 𝗚𝗼 𝗕𝗲𝘆𝗼𝗻𝗱 𝘁𝗵𝗲 𝗕𝗮𝘀𝗶𝗰𝘀:
This is just a starting point. Dive deeper, explore each directory, and unlock your tech potential. Share your questions in the comments, and let's learn together!


✉️ 𝗙𝗼𝗹𝗹𝗼𝘄 @prodevopsguy & @devopsdocs 𝗳𝗼𝗿 𝗺𝗼𝗿𝗲 𝘀𝘂𝗰𝗵 𝗰𝗼𝗻𝘁𝗲𝗻𝘁 𝗮𝗿𝗼𝘂𝗻𝗱 𝗰𝗹𝗼𝘂𝗱 & 𝗗𝗲𝘃𝗢𝗽𝘀

Docker 🏖

🔖 Official
https://www.docker.com/

🔖 Introduction to Containers - AWS Skill Builder
https://lnkd.in/drHegvBN

🔖 Understanding containers
https://lnkd.in/dfb_x4YJ

🔖 Docker: Beginner to Pro
https://lnkd.in/dbBeqgrN

🔖 How does Docker ACTUALLY work? The Hard Way: A Comprehensive Technical Deep Diving
https://lnkd.in/dv8YvSWr

🔖 Data Persistence - Docker Documentation
https://lnkd.in/dfGaBZnT

🔖 Docker Hub Registry
https://hub.docker.com/

🔖 Docker Samples
https://lnkd.in/din2CZPH


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

𝗢𝘂𝘁𝗱𝗮𝘁𝗲𝗱 𝗗𝗲𝘃𝗢𝗽𝘀 𝗧𝗼𝗼𝗹𝘀 🔠 𝗩𝘀. 𝗠𝗼𝗱𝗲𝗿𝗻 𝗔𝗹𝘁𝗲𝗿𝗻𝗮𝘁𝗶𝘃𝗲𝘀 🔠

🔠Ditch the old:
🔠 Jenkins
🔠 Maven
🔠 Puppet
🔠 Chef
🔠 Nagios
🔠 Docker Swarm

🔠Embrace the new:
🔠 GitLab & GitHub Actions for CI/CD
🔠 Ansible for configuration management
🔠 Terraform for IaC
🔠 Gradle for faster builds
🔠 Red Hat OpenShift > Kubernetes
🔠 Grafana for monitoring
🔠 Vector & Fluent Bit for log forwarding
🔠 ELK or Loki for log storage
🔠 Prometheus or InfluxDB for metrics


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