☄️ Real-world Prometheus Deployment: A Practical Guide for Kubernetes Monitoring ☄️

🔗 Source Link: https://github.com/NotHarshhaa/Learning-Prometheus

🔗 Blog Link: https://blog.prodevopsguytech.com/real-world-prometheus-deployment-a-practical-guide-for-kubernetes-monitoring


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

▶️ Learn DevOps by playing games 🎮


✅ Learn Git Branching - https://t.co/inOXRdxqmi

✅ Kubernetes Killer Shell - https://t.co/E0DuG3oNWb

✅ KodeKloud Engineer - https://t.co/6pVfXAZMjp
(Specific role simulation part of KodeKloud)

✅ TryHackMe - https://t.co/eg2af2g6pA
(Many rooms cover Linux, Docker, K8s security from an offensive/defensive perspective)

✅ Hack The Box - https://t.co/mjuFU64DoK
(Similar to TryHackMe, CTFs often involve DevOps tool exploitation/hardening)

✅ OverTheWire Wargames - https://t.co/NkeXrR72TU
(Classic command-line challenges, starting with Bandit for Linux basics)

✅ AWS Cloud Quest - https://t.co/BpJ9zqkff9

✅ CNCF Cloud Native Landscape Games (Phippy & Friends) - https://t.co/JR0UneWi0O
(Collection of simple games explaining cloud-native concepts)

✅ Play with Docker - https://t.co/4qeVjdGgXt (Interactive Docker sandbox environment)

✅ Kubernetes Goat - https://t.co/40IzNGCXSh (Deliberately vulnerable K8s cluster to learn security)

📢 Spread the word—share this with your network.


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

🔜 Many Cloud Engineers don’t fully understand API Gateway vs Load Balancer implications. 🔙

➡️ API Gateway focuses on managing how clients access services.

➡️ Load Balancer handles where the traffic goes.


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

➡️ New DevOps Project Alert! ⬅️

🚀 DevOps Project-36: Production-Ready 3-Tier App on AWS EKS 🌐

Just deployed a full-stack 3-tier application on AWS EKS with a real-world infrastructure setup! 🧵

🟠 Frontend: React (user interface)
🟠 Backend: Flask (API + business logic)
🟠 Database: PostgreSQL on RDS (private subnet)

Key AWS Components:
✅ EKS Cluster
✅ Application Load Balancer (ALB) via AWS Load Balancer Controller
✅ Kubernetes Ingress, Secrets & ConfigMaps
✅ ExternalName service to access RDS securely
✅ Route53 for DNS
✅ IAM, OIDC for fine-grained access control
✅ EC2 Bastion Host for secure cluster access
✅ DB migrations via Kubernetes Job

🔧 Built with production in mind – real infrastructure, real patterns, real skills.

📱 GitHub: https://github.com/NotHarshhaa/DevOps-Projects/tree/master/DevOps-Project-36
➗ View on Web: https://projects.prodevopsguytech.com/blog/DevOps-Project-36

Check it out & give it a ⭐️ if it helps you!
#DevOps #AWS #EKS #Kubernetes #CICD #FullStack #CloudNative #React #Flask #Postgres


📱 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

▶️ 𝗔𝗻𝘀𝗶𝗯𝗹𝗲 𝗕𝗲𝘀𝘁 𝗣𝗿𝗮𝗰𝘁𝗶𝗰𝗲𝘀 𝗳𝗼𝗿 𝗔𝘂𝘁𝗼𝗺𝗮𝘁𝗶𝗼𝗻 𝗦𝘂𝗰𝗰𝗲𝘀𝘀! 📱

Are you ready to unlock the power of Ansible and boost your DevOps workflows? Here's a quick breakdown of the core concepts, tips, and tricks to get you on the right path to efficient automation. 👇

⭐️ 𝗖𝗼𝗿𝗲 𝗖𝗼𝗻𝗰𝗲𝗽𝘁𝘀
𝗣𝗹𝗮𝘆𝗯𝗼𝗼𝗸𝘀 📜
YAML files where automation lives! Write them to describe the desired state of your infrastructure.
𝗧𝗶𝗽: Keep them simple and modular for readability.

𝗜𝗻𝘃𝗲𝗻𝘁𝗼𝗿𝗶𝗲𝘀 📂
Define your hosts and groups of servers here.
𝗧𝗶𝗽: Use dynamic inventory scripts for cloud platforms like AWS to stay updated.

𝗠𝗼𝗱𝘂𝗹𝗲𝘀 🧩
Predefined functions that automate tasks like installing packages, copying files, etc.
𝗧𝗶𝗽: Make use of idempotent modules to ensure consistent results!

𝗥𝗼𝗹𝗲𝘀 🏗️
Group related tasks, variables, and handlers in roles to keep things organized.
𝗧𝗶𝗽: Share your roles with others through Ansible Galaxy.

𝗛𝗮𝗻𝗱𝗹𝗲𝗿𝘀 🚦
Respond to changes and only run tasks when necessary.
𝗧𝗶𝗽: Use handlers to restart services or trigger additional tasks, minimizing downtime.

💡 𝗧𝗶𝗽𝘀 & 𝗧𝗿𝗶𝗰𝗸𝘀
𝗔𝘃𝗼𝗶𝗱 𝗛𝗮𝗿𝗱𝗰𝗼𝗱𝗶𝗻𝗴 ⛔: Use variables and parameterize your playbooks to keep them flexible.
𝗨𝘀𝗲 𝗧𝗮𝗴𝘀 🏷️: Assign tags to tasks and run specific parts of playbooks without executing everything.
𝗗𝗿𝘆 𝗥𝘂𝗻 (𝗖𝗵𝗲𝗰𝗸 𝗠𝗼𝗱𝗲) 🔍: Always test before execution with --check mode to ensure no surprises.
𝗬𝗔𝗠𝗟 𝗙𝗼𝗿𝗺𝗮𝘁𝘁𝗶𝗻𝗴 🖋️: Stick to best YAML practices for indentation and structure—Ansible is strict about it!

🛠 Example
𝗣𝗿𝗼𝗯𝗹𝗲𝗺: Configuring 100 EC2 instances with different setups manually is tedious and error-prone. 😓
𝗔𝗰𝘁𝗶𝗼𝗻: Create a dynamic inventory, use roles to define common configurations, and execute your playbook across all instances. 🚀
𝗥𝗲𝘀𝘂𝗹𝘁: Successfully 𝗰𝗼𝗻𝗳𝗶𝗴𝘂𝗿𝗲𝗱 𝗮𝗹𝗹 𝟭𝟬𝟬 𝗶𝗻𝘀𝘁𝗮𝗻𝗰𝗲𝘀 𝗶𝗻 𝗺𝗶𝗻𝘂𝘁𝗲𝘀 𝘄𝗶𝘁𝗵 𝘇𝗲𝗿𝗼 𝗺𝗮𝗻𝘂𝗮𝗹 𝗲𝗿𝗿𝗼𝗿𝘀. 🎉

🔥 𝗪𝗵𝘆 𝗖𝗵𝗼𝗼𝘀𝗲 𝗔𝗻𝘀𝗶𝗯𝗹𝗲?
𝗔𝗴𝗲𝗻𝘁𝗹𝗲𝘀𝘀: No need to install agents on nodes.
𝗜𝗱𝗲𝗺𝗽𝗼𝘁𝗲𝗻𝗰𝘆: Ensures tasks are executed exactly as intended.
𝗦𝗰𝗮𝗹𝗮𝗯𝗶𝗹𝗶𝘁𝘆: Perfect for small to large infrastructures.

🔔 Action Time! If you want to streamline your DevOps automation and master Ansible, start now!

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

⚪ Load Balancer vs. Reverse Proxy vs. API Gateway


🔹 Load Balancer
Distributes incoming network traffic across multiple backend servers (nodes) to ensure no single server is overwhelmed.

⚡️Key Benefits:
- Improves horizontal scalability
- Ensures high availability
- Performs automatic health checks
- Supports traffic routing based on load, IP, or latency

Examples: AWS ELB, HAProxy, NGINX (as load balancer)

🔹 Reverse Proxy
A server that sits in front of one or more backend servers and forwards client requests to them.

⚡️Key Benefits:
- Hides and protects backend servers
- Enables SSL termination
- Adds caching and compression
- Can perform basic load balancing

Examples: NGINX, Apache HTTP Server

🔹 API Gateway
A centralized entry point that handles, manages, and routes API calls—especially in a microservices setup. Acts as a facade to decouple clients from microservice complexity.

⚡️Key Benefits:
- Manages authentication, authorization, and rate limiting
- Performs request/response transformations
- Handles API versioning and lifecycle
- Enables detailed monitoring and analytics

Example: Amazon API Gateway, Kong

⚡️𝐂𝐚𝐧 𝐓𝐡𝐞𝐲 𝐁𝐞 𝐔𝐬𝐞𝐝 𝐓𝐨𝐠𝐞𝐭𝐡𝐞𝐫?
Yes. Modern architectures often combine all three.

⚡️Example Setup:
- A Reverse Proxy (e.g. NGINX) handles SSL termination and routes requests
- Requests hit an API Gateway for authentication, throttling, and routing to services
- Behind the scenes, a Load Balancer distributes traffic to healthy service instances

On AWS, it’s common to see Amazon API Gateway + Elastic Load Balancer (ELB) used together to build scalable, secure APIs.


📱 Join the channel now and start your DevOps journey with confidence:
📎 t.me/DevOpsClassroom

📚 Introducing "DevOps Tools Installation Setup/Guides" – Your One-Stop Resource!

Tired of jumping between scattered docs to install DevOps tools? We've got you covered with a clean, modern, and super-organized platform!

✨ What You’ll Find:
🟠 Detailed installation guides for popular tools
🟠 Sleek UI with smooth navigation
🟠 Tools categorized for easy access:
 🌥 Cloud Platforms
 🐳 Containers & Orchestration
 🏗 Infrastructure as Code
 🔄 CI/CD Tools
 📊 Monitoring Solutions

🎯 Why You’ll Love It:
✅ Step-by-step, platform-specific instructions (Linux & Windows)
✅ Clear prerequisites and system requirements
✅ Uninstallation steps included
✅ Mobile-friendly for on-the-go access

🔍 Perfect for:
DevOps Engineers • SysAdmins • Cloud Engineers • Dev Teams • Tech Enthusiasts

🚀 Get started now: devopsguides.site

#DevOps #CloudComputing #TechGuides #DevTools #Infrastructure #Docker #Kubernetes #CICD #TechCommunity


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

📢 Kubernetes Interview Questions (3+ Years Experience)

1. What are the key differences between a Deployment and a StatefulSet in Kubernetes?
2. How would you safely perform a node upgrade in a Kubernetes cluster?
3. How do you handle Kubernetes manifest version mismatches across environments?
4. What happens to a pod if the node it’s running on suddenly crashes?
5. How do you configure and use an Admission Controller in Kubernetes?
6. What strategies would you use to minimize container startup time?
7. What are Mutating and Validating Webhooks in Kubernetes, and when would you use them?
8. How does the kubectl drain command behave, and what does it do under the hood?
9. How do you troubleshoot slow image pulls in Kubernetes?
10. What is an emptyDir volume and how does it behave during pod restarts?
11. Describe how you would use Kubernetes to run scheduled data pipelines.
12. How does Kubernetes handle IP address assignment for pods?
13. Explain the differences between using ConfigMaps and environment variables for configuration.
14. What is a ResourceQuota and how is it enforced in a namespace?
15. How do you use the Horizontal Pod Autoscaler with custom metrics?
16. What are Kubernetes finalizers and why might a resource be stuck in Terminating state because of one?
17. How would you expose multiple services in a single Ingress resource?
18. What’s the purpose of the --force flag in kubectl delete and when should it be used cautiously?
19. How does the terminationGracePeriodSeconds setting affect pod termination?
20. How do you design and implement multi-tenant architecture on a shared Kubernetes cluster?
21. What are the pros and cons of using a centralized logging system like EFK (Elasticsearch-Fluentd-Kibana)
22. What are some anti-patterns you've seen in Kubernetes resource definitions?
23. How do you define health checks for gRPC-based applications in Kubernetes?
24. How do you implement fine-grained traffic control during a canary release in Kubernetes?
25. What is the role of CSI snapshots and how are they useful for disaster recovery?
26. Describe how Kubernetes handles rolling back a failed deployment.
27. How can you use Network Policies to secure communication within a namespace?
28. What are some common issues with Helm chart templating, and how do you handle them?
29. How do you inspect pod logs for a job that has already completed?
30. Describe the process of configuring Kubernetes audit logging for compliance tracking.


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

🚀 New DevOps Resource Alert!
Explore the DevOps Tools Cheatsheet UI – your ultimate destination for quick, categorized, and modern DevOps references.

❗️ Access it here:
➡️ cheatsheet.prodevopsguytech.com

👩‍💻 Why It’s Useful for Everyone:
🔰 Beginners – Get a clear, structured overview of essential DevOps tools and concepts without being overwhelmed.
🧠 Advanced Users – Quickly reference commands, configurations, and best practices across a wide range of tools to boost productivity.

✨ Key Features:
📱 Responsive Design – Smooth experience on all devices
🎨 Modern Interface – Sleek UI with transitions & animations
🔍 Smart Navigation – Browse by category with ease
📚 Rich Content – In-depth tools & best practices
🌙 Dark Mode – Perfect for any lighting
⚡️ Fast Performance – Optimized for speed

📂 Cheatsheet Categories:
➡️ 🔁 CI/CD: Jenkins, GitHub Actions, GitLab CI, CircleCI
➡️ 📦 Containerization: Docker, K8s, Helm, OpenShift & more
➡️ 🏗 Infra Management: Ansible, Terraform, Puppet...
➡️ 📊 Monitoring: Prometheus, Grafana, ELK, CloudWatch
➡️ 🔐 Security: Trivy, SonarQube, Vault, AquaSec
➡️ 🔃 Version Control: GitHub, GitLab, Bitbucket
➡️ ☁️ Cloud: AWS, Azure, GCP, K8s on AWS
➡️ 🌐 Networking: Istio, Envoy, Linkerd, Consul

🔗 Check it out now and level up your DevOps game!
💬 Feedback and stars always welcome!


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

⚪ Fundamental Kubernetes Concepts.

⬆️ Explained Simply ⬆️



📱 Join the channel now and start your DevOps journey with confidence:
📎 t.me/DevOpsClassroom

📌 Let's learn the right tools in the right way.


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

🚨 Azure DevOps Scenario Based Interview Questions 🚨


1. In your current project, could you describe the overall architecture of your CI/CD pipeline that you have designed for cloud applications in Azure DevOps?

2. Can you explain how you handled the integration of infrastructure-as-code (IaC) into your Azure DevOps pipeline? Did you use tools like Azure Resource Manager templates, Terraform, or others to manage resources, and how did it integrate with your CI/CD pipeline?

3. How do you manage different deployment strategies like Blue-Green Deployment or Canary Releases using Azure DevOps and Azure Cloud?

4. In your project, how do you handle the automation of your build pipelines using Azure DevOps?

5. Can you provide examples of scripts or commands you’ve used in the release pipeline for deploying to multiple environments

6. You mentioned using GitHub Actions for CI/CD automation. Can you provide a practical example of a custom script you created using GitHub Actions for automated testing or build tasks?

7. In Azure DevOps, you can use Azure CLI or PowerShell commands to automate tasks. Can you give an example of how you utilized these tools in your CI/CD pipeline to interact with Azure resources, such as creating or updating Azure VMs, storage accounts, or App Services?

8. In the context of your deployment pipeline, can you explain how you wrote a script that triggers the deployment process after successful completion of build steps? How do you implement a rollback strategy if something goes wrong during deployment?

9. Tell me the deployment process of a web application to Azure App Services using Azure DevOps pipelines. What steps and commands do you include in the pipeline, from building the artifact to testing and deploying to production?

10. How did you implement continuous monitoring during the deployment process? Could you give an example of how you track deployments in real-time, and how do you handle failed deployments?

11. In your current project, how did you handle the containerization of applications using Docker? Can you walk us through the process of creating a Dockerfile for a web application and how you integrated it into your Azure DevOps pipeline?

12. Once you containerized an application, how did you manage the deployment to Azure Kubernetes Service (AKS)? What steps did you follow to push your Docker images to Azure Container Registry (ACR), and how did you create and deploy Kubernetes manifests (YAML)?

13. Let’s say during a deployment, your build pipeline has passed successfully, but the deployment to a pre-prod environment fails. What steps would you take to debug the issue, and which logs or commands would you check first in Azure DevOps?

14. In your CI/CD pipeline, how do you handle automated testing? Can you explain how you integrated unit tests, into your pipeline using Azure DevOps?


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

➡️10 Questions to Test Your Understanding of Kubernetes 🔤


1. In a cluster with two nodes, one with pods and the other without, which node will a new pod be scheduled to?

2. If an application running in a container encounters an OOM (Out-of-Memory) error, will the container restart, or will the entire Pod be recreated?

3. Can application configurations such as environment variables or ConfigMap updates be applied dynamically without recreating the Pod?

4. Is a Pod stable once created, even if the user takes no further action?

5. Can a Service of type ClusterIP ensure load balancing for TCP traffic?

6. How should application logs be collected, and is there a risk of losing logs?

7. If an HTTP Server Pod’s livenessProbe is functioning correctly, does it mean the application is problem-free?

8. How can an application scale to handle traffic fluctuations?

9. When you execute kubectl exec -it <pod> -- bash, are you logging into the pod?

10. How would you troubleshoot if a container in a Pod repeatedly exits and restarts?


🔤🔤🔤: @prodevopsguy
🔤🔤🔤: @devopsdocs