DevOps & Cloud (AWS, AZURE, GCP) Tech Free Learning
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htop - Like top, but actually useful•
df -h - Because disk space issues find you•
netstat -tulpn - Your network's story•
lsof - What's using that port?•
ps aux | grep - Finding that runaway process•
dmesg - Kernel's gossip channel•
find . -name - Your file search superhero•
tar -xvf - Unzip like a pro•
rsync - scp's smarter cousin•
sed -i - Stream editing wizard•
awk - Text manipulation magic•
grep -r - Find text like a detective•
docker stats - Container vital signs•
docker logs -f - Live container stories•
crictl pods - Kubernetes container whisperer•
kubectl get pods - K8s status check•
tail -f - Log watching party•
watch - Command on repeat•
vmstat - Memory tales•
iostat - Disk performance poetry•
curl -v - HTTP storyteller•
nc - Network swiss army knife•
dig - DNS detective•
ss - Socket statistics•
chmod - Permission painter•
chown - Ownership wizard•
openssl - Certificate craftsman•
ssh-keygen - Key creator•
systemctl - Service sorcery•
journalctl - Log time machine•
kill -9 - Process terminator•
nice - Priority painter•
strace - System call spy•
tcpdump - Network packet poet•
sar - System activity reporter•
perf - Performance profiler•
cut -d - Column collector•
sort | uniq -c - Pattern finder•
tr - Character changer•
wc -l - Line counter•
du -sh - Directory size detective•
fdisk -l - Disk detective•
mount - filesystem connector•
ln -s - Symlink sorcerer•
history | grep - Command time machine•
!! - Last command replay•
ctrl+r - Reverse search magic•
alias - Command shortcut creator•
tee - Output splitter•
xargs - Command multiplier•
at - Job scheduler•
screen/tmux - Terminal multiplexerPlease open Telegram to view this post
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DevOps engineers play a critical role in driving collaboration, automation, and efficiency across development and operations teams, ultimately enabling organizations to deliver high-quality software products and services more rapidly and reliably.
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𝘾𝙧𝙮𝙞𝙣𝙜 𝙞𝙣 𝙔𝘼𝙈𝙇 🥲
➡️ 𝟭𝟭 𝘄𝗮𝘆𝘀 𝘁𝗼 𝗲𝗳𝗳𝗲𝗰𝘁𝗶𝘃𝗲𝗹𝘆 𝗗𝗲𝗯𝘂𝗴 𝗞𝘂𝗯𝗲𝗿𝗻𝗲𝘁𝗲𝘀 𝗶𝘀𝘀𝘂𝗲𝘀:
1.🛠 Utilize kubectl commands for quick diagnostics.
2.🖥 Leverage the Kubernetes Dashboard for visual debugging.
3.🚀 Use ephemeral containers for troubleshooting without modifying pod state.
4.📜 Explore logs with stern for efficient log monitoring.
5.🚪 Use kubectl port-forward for direct access to services.
6.⚙️ Implement probes for automated health checks.
7.🗓 Analyze cluster events with kubectl get events.
8.🌐 Network troubleshooting with netshoot.
9.📊 Performance monitoring with Prometheus and Grafana.
10.💻 Inspect container filesystems with kubectl exec.
11.📈 Analyze resource usage with Metrics Server.
Share this to help other DevOps Engineers ♻️🤝
✔️ 𝐅𝐨𝐥𝐥𝐨𝐰 @prodevopsguy 𝐟𝐨𝐫 𝐦𝐨𝐫𝐞 𝐬𝐮𝐜𝐡 𝐜𝐨𝐧𝐭𝐞𝐧𝐭 𝐚𝐫𝐨𝐮𝐧𝐝 𝐜𝐥𝐨𝐮𝐝 & 𝐃𝐞𝐯𝐎𝐩𝐬!!! // 𝐉𝐨𝐢𝐧 𝐟𝐨𝐫 𝐃𝐞𝐯𝐎𝐩𝐬 𝐃𝐎𝐂𝐬: @devopsdocs
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Share this to help other DevOps Engineers ♻️
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The diagram above illustrates the typical workflow.
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Both DevOps and Cloud Engineers play critical roles in modern IT, but their responsibilities and focus areas differ.
A DevOps Engineer bridges the gap between development and operations. Their mission? Streamline software delivery. They ensure that the development cycle is continuous, efficient, and automated.
A Cloud Engineer specializes in designing, planning, and managing cloud environments. Their mission is to build and maintain cloud infrastructure for optimal performance, security, and scalability.
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DevOps & Cloud (AWS, AZURE, GCP) Tech Free Learning
I'm excited to announce a major update in my Kubernetes Learning Path on GitHub!
This update brings:
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- Advanced Kubernetes Networking
- Observability & Monitoring
- Cluster Management & Maintenance
- Security Best Practices
- Deployment Strategies
- Troubleshooting Clusters
- And more resources!
These enhancements aim to make learning Kubernetes from scratch to advanced levels easier and more structured. Dive in, explore, and accelerate your Kubernetes journey!
Happy Learning! #DevOps #Kubernetes #CloudComputing #LearningPath #GitHubUpdate
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• You won’t be asked to build a pipeline on day 1.
• You won’t be updating the YAMLs on day 2.
• You won’t be modernising the entire infrastructure with Terraform or Crossplane.
• You won’t be automating anything and everything you see.
• You won’t be asked to create custom dashboards.
• You won’t be asked to replace Jenkins with GitLab.
• You won't be handling a full-scale data migration alone.
• You won’t be asked to spend your weekend troubleshooting that late Friday push.
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Mastering it can take your tech career to the next level. Here's why:
Linux powers countless technologies, and familiarity with its file system gives you an edge in various tech fields:
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!
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DevOps engineers are IT professionals who play a crucial role in modern software development. They work like bridge builders, connecting the worlds of development and operations to create a smooth and efficient software delivery process. Here's a glimpse into what they do:
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DEV Community
50 DevOps Project Ideas to Build Your Skills: From Beginner to Advanced
Introduction The demand for DevOps skills has surged, as organizations recognize the value...
Looking to level up your DevOps skills? Dive into this comprehensive list of project ideas, perfect for building real-world experience and mastering essential DevOps concepts:
Whether you're a beginner or looking for advanced challenges, these projects cover it all!
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𝑓𝑜𝑟 𝑚𝑜𝑟𝑒 𝑖𝑛𝑓𝑜, 𝑦𝑜𝑢 𝑐𝑎𝑛 𝑐ℎ𝑒𝑐𝑘 𝑡ℎ𝑖𝑠 𝑙𝑖𝑛𝑘:
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Here are some common GitHub-related issues that DevOps engineers encounter, along with their solutions:
1️⃣ . Merge Conflicts:
Issue: When multiple contributors modify the same file simultaneously, merge conflicts occur during pull requests.
Solution: Resolve conflicts by carefully reviewing conflicting changes and manually merging them.
2️⃣ . Authentication Issues:
Issue: Improper authentication (SSH keys or personal access tokens) can lead to problems when pushing or pulling from repositories.
Solution: Ensure correct authentication methods to avoid issues.
3️⃣ . Git Submodules:
Issue: Managing Git submodules can be challenging.
Solution: Understand how submodules work and handle them correctly.
4️⃣ . Large Files and LFS:
Issue: GitHub has a file size limit. Large binary files can cause issues.
Solution: Use Git LFS (Large File Storage) for managing large files.
5️⃣ . Branch Protection Rules:
Issue: Accidental force pushes or direct commits to protected branches.
Solution: Set up branch protection rules to prevent such actions.
6️⃣ . Rate Limiting:
Issue: GitHub API requests are rate-limited.
Solution: Use tokens and avoid excessive requests.
7️⃣ . Repository Permissions:
Issue: Incorrect permissions for collaborators.
Solution: Ensure proper permissions to avoid unauthorized access.
8️⃣ . Webhooks and CI/CD Failures:
Issue: Debugging webhook and CI/CD failures.
Solution: Check logs and configurations to identify and fix issues.
📱 𝗙𝗼𝗹𝗹𝗼𝘄 @prodevopsguy 𝐟𝐨𝐫 𝐦𝐨𝐫𝐞 𝐬𝐮𝐜𝐡 𝐜𝐨𝐧𝐭𝐞𝐧𝐭 𝐚𝐫𝐨𝐮𝐧𝐝 𝐜𝐥𝐨𝐮𝐝 & 𝐃𝐞𝐯𝐎𝐩𝐬!!! // 𝐉𝐨𝐢𝐧 𝐟𝐨𝐫 𝐃𝐞𝐯𝐎𝐩𝐬 𝐃𝐎𝐂𝐬: @devopsdocs
Issue: When multiple contributors modify the same file simultaneously, merge conflicts occur during pull requests.
Solution: Resolve conflicts by carefully reviewing conflicting changes and manually merging them.
Issue: Improper authentication (SSH keys or personal access tokens) can lead to problems when pushing or pulling from repositories.
Solution: Ensure correct authentication methods to avoid issues.
Issue: Managing Git submodules can be challenging.
Solution: Understand how submodules work and handle them correctly.
Issue: GitHub has a file size limit. Large binary files can cause issues.
Solution: Use Git LFS (Large File Storage) for managing large files.
Issue: Accidental force pushes or direct commits to protected branches.
Solution: Set up branch protection rules to prevent such actions.
Issue: GitHub API requests are rate-limited.
Solution: Use tokens and avoid excessive requests.
Issue: Incorrect permissions for collaborators.
Solution: Ensure proper permissions to avoid unauthorized access.
Issue: Debugging webhook and CI/CD failures.
Solution: Check logs and configurations to identify and fix issues.
Remember, addressing these challenges will enhance your DevOps skills!😊 🚀
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8 FREE💲 Udemy Docker Courses from Beginner to Professional 🚀
➡️ Beginners
🔵 Docker for the Absolute Beginner
➡️ https://lnkd.in/eSDNg-Xv
🟡 Docker Tutorial for Beginners practical hands on -Devops
➡️ https://lnkd.in/eTGeQ_dW
🩷 Docker Essentials
➡️ https://lnkd.in/edTFpFxY
🔴 Docker Before Compose - Learn Docker by Example
➡️ https://lnkd.in/eq3_w-7N
🟤 Learn Docker Quickly: A Hands-on approach to learning docker
➡️ https://lnkd.in/ededr6U2
➡️ Professional
🟢 Are You a PRO Series - Docker & Swarm Real Challenges
➡️ https://lnkd.in/em48h_qK
🔵 Docker Swarm Courses
➡️ https://lnkd.in/emr6AaK8
🔴 Building Application Ecosystem with Docker Compose
➡️ https://lnkd.in/eaa43R2f
📱 𝗙𝗼𝗹𝗹𝗼𝘄 @prodevopsguy 𝗳𝗼𝗿 𝗺𝗼𝗿𝗲 𝘀𝘂𝗰𝗵 𝗰𝗼𝗻𝘁𝗲𝗻𝘁 𝗮𝗿𝗼𝘂𝗻𝗱 𝗰𝗹𝗼𝘂𝗱 & 𝗗𝗲𝘃𝗢𝗽𝘀!!!
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Jenkins is a popular automation server that can be used to automate the CI/CD pipeline. In this post we will learn how to use Jenkins to automate the following steps:
Jenkins can be used to automate the CI/CD pipeline for any type of application.
Here are some of the benefits of using Jenkins for CI/CD:
There are many different ways to create a CI/CD pipeline. One popular approach is to use a tool like Jenkins or CircleCI. These tools can help to automate the steps involved in building, testing, and deploying software applications.
Overall, Jenkins is a powerful tool that can help businesses to improve the speed, quality, and reliability of their software development process. By automating the build, test, and deployment process, Jenkins can help to free up developers to focus on more creative and strategic work.
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𝗘𝘅𝗽 𝗥𝗮𝗻𝗴𝗲: 𝟯-𝟱 𝘆𝗿𝘀
These 𝗦𝗰𝗲𝗻𝗮𝗿𝗶𝗼 𝗯𝗮𝘀𝗲𝗱 𝗤𝘂𝗲𝘀𝘁𝗶𝗼𝗻𝘀 covered a wide range of technical and behavioural topics. Sharing some key questions that faced during the interview:
1. How would you handle a situation where a deployment script fails mid-way? What rollback mechanisms would you implement?
2. Explain the difference between a blue-green deployment and a canary deployment. When would you use each?
3. What are some common challenges in CI/CD, and how have you solved them in your projects?
4. Explain how you would troubleshoot a pipeline error in Jenkins related to dependency mismatches.
5. How would you implement security in a CI/CD pipeline to ensure compliance and prevent vulnerabilities?
6. What are the differences between Jenkins and GitHub Actions, and when would you choose one over the other?
7. How would you use Ansible in a CI/CD pipeline to deploy applications to multiple environments?
8. Explain the role of playbooks and inventory files in Ansible for deployment automation.
9. How would you handle testing in a CI/CD pipeline to ensure changes don’t affect production?
10. What are the considerations for setting up a continuous deployment process in a cloud environment like AWS or Azure?
11. If CPU utilization on a server is consistently above 90%, what steps would you take to investigate and address the issue?
12. Imagine you need to migrate a high-performance computing (HPC) infrastructure to the cloud. How would you ensure a seamless transition while maintaining availability and performance?
13. Your team is experiencing increased latency in database queries due to high traffic. What steps would you take to diagnose and reduce this latency?
14. Suppose there’s a sudden surge in cloud costs. How would you go about identifying the cause and reducing unnecessary expenses?
15. Tell me how you previously reduced cloud expenditure by 20%.
16. You’ve been asked to design a logging and monitoring solution for a new application. What factors would you consider, and how would you prioritize them?
17. Imagine you are responsible for managing SSL/TLS certificates across multiple environments. How would you ensure they’re up to date and compliant with security standards?
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Kubernetes brings distinct paradigms that impact everything from artifact handling to deployment strategies.
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