oToday I learned the fundamentals of Kubernetes and the main problems it solves in real-world infrastructure. 🔹 Why Kubernetes is needed (Problems it solves) Container lifecycle management

🔹 Important Control Plane Components kube-scheduler → Schedules pods on available nodes Controller Manager →

→ Example: restart controller (state management) Cloud Controller Manager 🔹 Controllers & State Management Controllers continuously watch the current state and make sure the desired state is always maintained. Example: restarting failed containers automatically. 🔹 Leader Election (Leader Detection Algorithm) Leader election is used so that only one active controller instance manages a task at a time. This avoids conflicts in distributed systems and is configured at the control-plane component level. 🔹 Linux Namespace (Related Concept) Linux namespaces are used for isolation of: processes network filesystem users

Dynatrace Sumo LogicDifferent HTML on Port 80 and Port 8080 Kubernetes uses Linux namespaces internally for container isolation. 🔹 Monitoring & Observability Tools (Explored) Datadog

This project demonstrates how a single machine can serve different HTML pages on different ports.

🔧 How it works

Port 80 → Serves index.html

Port 8080 → Serves index8080.html

🧪 Test using curl curl localhost curl localhost:8080

📚 What you’ll learn

Basics of ports & networking

How web servers handle multiple services

Practical usage of curl

Real-world server configuration concept 🚀 FastAPI Setup using pipx & Uvicorn

Today I learned how to set up and run a FastAPI application using pipx and uvicorn.

✔ Installed pipx for isolated Python tools
✔ Installed FastAPI with standard dependencies
✔ Used uvicorn to run the application
✔ Learned how to run the server with reload and multiple workers
✔ Practiced basic Linux commands and networking check using ss

Commands practiced:

• sudo apt update
• sudo apt install pipx
• pipx install "fastapi[standard]"
• pipx inject uvicorn fastapi
• uvicorn main:app --reload
• uvicorn main:app --workers 2
• ss -ntlp

This is part of my backend development learning journey.

🐧 Advanced Linux Commands

This repository covers advanced Linux commands used for system administration, debugging, performance monitoring, and automation.

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🔍 File Searching & Text Processing

find

Search files recursively find /var/log -name "*.log" -size +10M

grep (advanced)

grep -rin "error" /var/log

awk

Print specific columns awk '{print $1, $3}' file.txt

sed

Replace text in file sed 's/root/admin/g' file.txt

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📊 System Monitoring

top / htop

Real-time process monitoring

vmstat

Memory usage vmstat 2

iostat

Disk I/O statistics iostat -x 1

free

Memory usage free -h

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⚙️ Process & Job Control

ps aux | grep nginx
kill -9 PID
nice -n 10 process
renice -5 PID

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🔐 Permissions & ACL

getfacl file.txt
setfacl -m u:user:rwx file.txt

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🌐 Networking & Ports

ss -tulnp
netstat -anp
lsof -i :80
tcpdump -i eth0

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📦 Disk & Storage

df -h
du -sh /var/*
mount | column -t
lsblk

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🧵 Archiving & Compression

tar -cvf backup.tar /data
tar -xvf backup.tar
tar -czvf backup.tar.gz /data
tar -xzvf backup.tar.gz

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🔄 Piping & Redirection

command1 | command2
command > output.txt
command >> output.txt
command 2> error.txt

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⏱️ Scheduling & Automation

cron

crontab -e 0 2 * * * /backup.sh

at

echo "shutdown now" | at 23:00

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🧠 Debugging & Tracing

strace ls
ltrace ./a.out
watch -n 2 df -h

🐳 Containers & Virtualization (Basics)

Network management between containers Change & configuration managemenandles network and cloud-specific communication etcd docker exec -it container bash
docker logs container Today I learned the fundamentals of Kubernetes and the main problems it solves in real-world infrastructure. 🔹 Why Kubernetes is needed (Problems it solves) Container lifecycle management Network management between containers Change & configuration management

docker ps

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