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🤔 Hot take: If you’re a solo founder who wants to ship disgustingly fast, the debate isn’t “Java vs JS.” JS gives you BACKEND, FRONTEND, MOBILE, desktop, scripts, workers — one language, one stack, zero context switching. Java gives you… enterprise flashbacks and a 14-step build pipeline. For speed, JS is an unfair advantage. So be honest: in 2025, are you still picking Java over all-in JS? Why?

After years with Python, I switched to NodeJs. Here's why 🧵

- TypeScript is free - JavaScript is free - Next.js is free - Git and GitHub are free - VS Code is free - Node.js is free - SQLite is free - Tailwind CSS is free Even hosting is free (limited to certain k req) on Vercel, Netlify, and GitHub Pages. Your laptop and internet connection: That's all you need to build. No $10k bootcamps. No fancy courses. No degree required. Just you, your determination, and these free tools. While others are debating which paid course to buy, full-stack developers are shipping products and landing $100k+ jobs. Companies don't care where you learned. They care what you can build. The same stack that powers billion-dollar startups, all available for $0. Every successful developer started exactly where you are right now. Zero projects. Zero GitHub stars. Just curiosity. They didn't wait for the "perfect" tutorial. They didn't make excuses about expensive courses. They opened VS Code, built something broken, fixed it, and shipped. The barrier to entry has never been lower. The opportunity has never been bigger. Start today. Your future self will thank you.

7️⃣ years in IT. These Linux commands saved me countless times. While junior devs panic during outages, I stay calm. Why? These commands: Daily Lifesavers: 🟢 ps aux | grep {process} - Find any process instantly 🟢lsof -i :{port} - See what's blocking your port 🟢df -h - Spot disk space issues before they explode 🟢netstat -tulpn - Network debugging in seconds 🟢kubectl get pods | grep error - K8s troubleshooting 🟢Log Hunting: 🟢tail -f /var/log/* - Watch logs live 🟢journalctl -fu service-name - SystemD logs made easy 🟢grep -r "error" . - Find errors anywhere less +F - Better than tail Container Mastery: 🟢docker ps --format '{{.Names}}' - Clean container view 🟢docker stats --no-stream - Resource check in 1 second 🟢docker exec -it - Jump inside any container System Health: 🟢htop - See everything at a glance 🟢free -h - Memory issues? Spot them fast 🟢dmesg -T | tail - What just crashed? Network Debugging: 🟢curl -v - Debug API calls 🟢dig +short - DNS lookups instantly 🟢ss -tunlp - Socket statistics simplified Git Saves: 🟢git stash - Hide work temporarily 🟢git reset --hard HEAD^ - Undo that mistake 🟢git log --oneline - Quick history view Pro Shortcuts: 🟢sudo !! - Rerun with sudo 🟢ctrl+r - Search command history 🟢watch - Repeat any command Senior devs aren't smarter. They just know the right commands. These turned 3-hour debugging sessions into 3-minute fixes. Bookmark this. You'll need it when production breaks at 3 AM.

Docker is Go Kubernetes is Go Terraform is Go Grafana is Go Prometheus is Go Vault is Go Istio is Go Etcd is Go 1️⃣ LEARN PYTHON 🐍 WHY? Go builds the tools. Python uses the tools. When you're starting out, you're not building Kubernetes. You're automating deployments. You're writing scripts. You're gluing APIs together. Python does this in 5 lines. Go needs 50. Python wins for: Automation scripts API integrations AWS/GCP/Azure SDKs Data processing Quick prototypes Ansible playbooks Go wins for: Building CLI tools High-performance services Contributing to K8s System-level programming The truth nobody tells you: 90% of DevOps work is automation and scripting. 10% is building infrastructure tools. Learn Python first. Get hired. Master automation. Solve real problems. Start with Python. Thank me in 6 months.

this is how you get best performance, while you are on free tier 😂

Your Docker image is part of your latency budget, not “just a container”. Quick wins: 🟡Use alpine/distroless, not ubuntu:latest 🟡Multi-stage builds, no dev deps 🟡.dockerignore .git, tests, node_modules 🟡Run as non-root Smaller images = faster deploys + fewer CVEs.

"What makes you different from other candidates?" Most people panic. Some ramble. Others say nothing memorable. Here's what interviewers actually want to hear: → Specific skills they need (not generic "hard worker" BS) → Proof you've used those skills (stories > claims) → Evidence others noticed your impact (feedback matters) → How you'll solve THEIR problems (not just that you're "passionate") Your formula: "I've done [specific thing] that resulted in [specific outcome]. My manager said [concrete feedback]. From your job description, I see you need [their problem]—this is exactly what I built at [last role]." Be specific. Be memorable. Be relevant to THEM. Generic answers get generic rejections.

Linux isn't the obstacle to DevOps—it's trying to learn ALL of Linux. Nobody hands you the map. They just say "learn Linux" and point at an ocean. Here's the actual territory you need: - Process management (ps, top, htop) - Networking basics (ip, netstat, ss) - File permissions (chmod/chown) - Package managers (apt/yum) - Service control (systemctl) - SSH configuration - Basic bash scripting The rest? You'll learn it when you actually need it. Stop drowning in theory. Start building.

The biggest lie in DevOps: “We need more tools.” Every outage I’ve debugged in the last 7 years had the same root cause: Not Kubernetes. Not Terraform. Not CI/CD. Basics ignored. 🔴No monitoring on the critical path 🔴Missing retries on external calls 🔴Zero visibility into queues 🔴Containers running with default resource limits 🔴Secrets stored everywhere except a secrets manager 🔴Alerts nobody reads 🔴Dashboards nobody owns We chase shiny tools but overlook fundamentals. Last month we fixed a “scaling problem” by adding one queue metric and a simple backoff retry. Zero new tools. Response time dropped from 3.4s → 280ms. DevOps isn’t about collecting tools. It’s about understanding the system well enough to know which ones you can remove.

7 years in Dev and Ops taught me this: These Linux commands will save you more fires than any cert. Daily life-savers 💲 ps aux | grep {process} 💲 lsof -i :{port} 💲 df -h 💲 netstat -tulpn 💲 kubectl get pods | grep -i error Log hunters 💲 tail -f /var/log/* 💲 journalctl -fu service 💲 grep -r "error" . 💲 zcat access.log.gz | grep 500 💲 less +F Containers 💲 docker ps --format '{{.Names}} {{.Status}}' 💲 docker stats --no-stream 💲 crictl logs {container} 💲 docker exec -it 💲 podman top System detectives 💲 htop 💲 iostat -xz 1 💲 free -h 💲 vmstat 1 💲 dmesg -T | tail Network checks 💲 curl -v 💲 dig +short 💲 ss -tunlp 💲 iptables -L 💲 traceroute Files & misc 💲 find . -name "*.yaml" 💲 rsync -avz 💲 tar -xvf 💲 ln -s 💲 chmod +x Performance 💲 strace -p {pid} 💲 tcpdump -i any 💲 sar -n DEV 1 💲 uptime 💲 top -c Git essentials 💲 git log --oneline 💲 git reset --hard HEAD^ 💲 git stash 💲 git diff --cached 💲 git blame Quick wins 💲 sudo !! 💲 ctrl+r 💲 history | grep 💲 alias 💲 watch These aren’t “nice to know.” They’re the commands you lean on when production is on fire.

Most engineers avoid Next.js because they think it's “just React with extras.” But those extras are exactly what make you faster. After a few projects, here’s why I tell people to just use Next.js: Routing that doesn’t make you fight React Router Server Components out of the box. No more hacky data-fetching patterns API routes for quick backend endpoints Image optimization that actually matters in production Built-in caching + edge support, huge performance wins for free File-based conventions that prevent the usual frontend chaos The biggest advantage? Next.js quietly forces you into good architecture. And most teams desperately need that. If you're still stitching together React + Vite + CRA-era patterns… you're choosing complexity you don’t need. Next.js won’t make you a better engineer. But it will remove 90% of the mess that stops you from shipping.

🐋 Docker is written in Go ☸️ Kubernetes runs on Go 🛠️ Terraform is powered by Go 📈 Prometheus is built with Go 📊 Grafana is crafted in TypeScript ⚙️ Jenkins is built in Java 🐍 Ansible is written in Python 🍴 Chef is powered by Ruby 🎭 Puppet is built with Ruby 🔍 ELK Stack (Elasticsearch, Logstash, Kibana) relies on Java and Ruby 📟 Nagios is written in C 💾 Splunk is built with C++ ☁️ AWS CLI is written in Python 🔵 Azure CLI is powered by Python 🦊 GitLab is built with Ruby and Go 🔄 CircleCI is written in Clojure 🔐 HashiCorp Vault is powered by Go 🚀 ArgoCD is built with Go 🛡️ Istio is written in Go The core of the DevOps ecosystem runs on Go, Python, Ruby, and Java. Which of these are you leveling up in next?

After years with Python, I switched to NodeJs. Here's why 🧵

🤔 Hot take: If you’re a solo founder who wants to ship disgustingly fast, the debate isn’t “Java vs JS.” JS gives you BACKEND, FRONTEND, MOBILE, desktop, scripts, workers — one language, one stack, zero context switching. Java gives you… enterprise flashbacks and a 14-step build pipeline. For speed, JS is an unfair advantage. So be honest: in 2025, are you still picking Java over all-in JS? Why?

"What makes you different from other candidates?" Most people panic. Some ramble. Others say nothing memorable. Here's what interviewers actually want to hear: → Specific skills they need (not generic "hard worker" BS) → Proof you've used those skills (stories > claims) → Evidence others noticed your impact (feedback matters) → How you'll solve THEIR problems (not just that you're "passionate") Your formula: "I've done [specific thing] that resulted in [specific outcome]. My manager said [concrete feedback]. From your job description, I see you need [their problem]—this is exactly what I built at [last role]." Be specific. Be memorable. Be relevant to THEM. Generic answers get generic rejections.

Docker is Go Kubernetes is Go Terraform is Go Grafana is Go Prometheus is Go Vault is Go Istio is Go Etcd is Go 1️⃣ LEARN PYTHON 🐍 WHY? Go builds the tools. Python uses the tools. When you're starting out, you're not building Kubernetes. You're automating deployments. You're writing scripts. You're gluing APIs together. Python does this in 5 lines. Go needs 50. Python wins for: Automation scripts API integrations AWS/GCP/Azure SDKs Data processing Quick prototypes Ansible playbooks Go wins for: Building CLI tools High-performance services Contributing to K8s System-level programming The truth nobody tells you: 90% of DevOps work is automation and scripting. 10% is building infrastructure tools. Learn Python first. Get hired. Master automation. Solve real problems. Start with Python. Thank me in 6 months.

7️⃣ years in IT. These Linux commands saved me countless times. While junior devs panic during outages, I stay calm. Why? These commands: Daily Lifesavers: 🟢 ps aux | grep {process} - Find any process instantly 🟢lsof -i :{port} - See what's blocking your port 🟢df -h - Spot disk space issues before they explode 🟢netstat -tulpn - Network debugging in seconds 🟢kubectl get pods | grep error - K8s troubleshooting 🟢Log Hunting: 🟢tail -f /var/log/* - Watch logs live 🟢journalctl -fu service-name - SystemD logs made easy 🟢grep -r "error" . - Find errors anywhere less +F - Better than tail Container Mastery: 🟢docker ps --format '{{.Names}}' - Clean container view 🟢docker stats --no-stream - Resource check in 1 second 🟢docker exec -it - Jump inside any container System Health: 🟢htop - See everything at a glance 🟢free -h - Memory issues? Spot them fast 🟢dmesg -T | tail - What just crashed? Network Debugging: 🟢curl -v - Debug API calls 🟢dig +short - DNS lookups instantly 🟢ss -tunlp - Socket statistics simplified Git Saves: 🟢git stash - Hide work temporarily 🟢git reset --hard HEAD^ - Undo that mistake 🟢git log --oneline - Quick history view Pro Shortcuts: 🟢sudo !! - Rerun with sudo 🟢ctrl+r - Search command history 🟢watch - Repeat any command Senior devs aren't smarter. They just know the right commands. These turned 3-hour debugging sessions into 3-minute fixes. Bookmark this. You'll need it when production breaks at 3 AM.

- TypeScript is free - JavaScript is free - Next.js is free - Git and GitHub are free - VS Code is free - Node.js is free - SQLite is free - Tailwind CSS is free Even hosting is free (limited to certain k req) on Vercel, Netlify, and GitHub Pages. Your laptop and internet connection: That's all you need to build. No $10k bootcamps. No fancy courses. No degree required. Just you, your determination, and these free tools. While others are debating which paid course to buy, full-stack developers are shipping products and landing $100k+ jobs. Companies don't care where you learned. They care what you can build. The same stack that powers billion-dollar startups, all available for $0. Every successful developer started exactly where you are right now. Zero projects. Zero GitHub stars. Just curiosity. They didn't wait for the "perfect" tutorial. They didn't make excuses about expensive courses. They opened VS Code, built something broken, fixed it, and shipped. The barrier to entry has never been lower. The opportunity has never been bigger. Start today. Your future self will thank you.

this is how you get best performance, while you are on free tier 😂

The biggest lie in DevOps: “We need more tools.” Every outage I’ve debugged in the last 7 years had the same root cause: Not Kubernetes. Not Terraform. Not CI/CD. Basics ignored. 🔴No monitoring on the critical path 🔴Missing retries on external calls 🔴Zero visibility into queues 🔴Containers running with default resource limits 🔴Secrets stored everywhere except a secrets manager 🔴Alerts nobody reads 🔴Dashboards nobody owns We chase shiny tools but overlook fundamentals. Last month we fixed a “scaling problem” by adding one queue metric and a simple backoff retry. Zero new tools. Response time dropped from 3.4s → 280ms. DevOps isn’t about collecting tools. It’s about understanding the system well enough to know which ones you can remove.

7 years in Dev and Ops taught me this: These Linux commands will save you more fires than any cert. Daily life-savers 💲 ps aux | grep {process} 💲 lsof -i :{port} 💲 df -h 💲 netstat -tulpn 💲 kubectl get pods | grep -i error Log hunters 💲 tail -f /var/log/* 💲 journalctl -fu service 💲 grep -r "error" . 💲 zcat access.log.gz | grep 500 💲 less +F Containers 💲 docker ps --format '{{.Names}} {{.Status}}' 💲 docker stats --no-stream 💲 crictl logs {container} 💲 docker exec -it 💲 podman top System detectives 💲 htop 💲 iostat -xz 1 💲 free -h 💲 vmstat 1 💲 dmesg -T | tail Network checks 💲 curl -v 💲 dig +short 💲 ss -tunlp 💲 iptables -L 💲 traceroute Files & misc 💲 find . -name "*.yaml" 💲 rsync -avz 💲 tar -xvf 💲 ln -s 💲 chmod +x Performance 💲 strace -p {pid} 💲 tcpdump -i any 💲 sar -n DEV 1 💲 uptime 💲 top -c Git essentials 💲 git log --oneline 💲 git reset --hard HEAD^ 💲 git stash 💲 git diff --cached 💲 git blame Quick wins 💲 sudo !! 💲 ctrl+r 💲 history | grep 💲 alias 💲 watch These aren’t “nice to know.” They’re the commands you lean on when production is on fire.

Your Docker image is part of your latency budget, not “just a container”. Quick wins: 🟡Use alpine/distroless, not ubuntu:latest 🟡Multi-stage builds, no dev deps 🟡.dockerignore .git, tests, node_modules 🟡Run as non-root Smaller images = faster deploys + fewer CVEs.

Most engineers avoid Next.js because they think it's “just React with extras.” But those extras are exactly what make you faster. After a few projects, here’s why I tell people to just use Next.js: Routing that doesn’t make you fight React Router Server Components out of the box. No more hacky data-fetching patterns API routes for quick backend endpoints Image optimization that actually matters in production Built-in caching + edge support, huge performance wins for free File-based conventions that prevent the usual frontend chaos The biggest advantage? Next.js quietly forces you into good architecture. And most teams desperately need that. If you're still stitching together React + Vite + CRA-era patterns… you're choosing complexity you don’t need. Next.js won’t make you a better engineer. But it will remove 90% of the mess that stops you from shipping.

Linux isn't the obstacle to DevOps—it's trying to learn ALL of Linux. Nobody hands you the map. They just say "learn Linux" and point at an ocean. Here's the actual territory you need: - Process management (ps, top, htop) - Networking basics (ip, netstat, ss) - File permissions (chmod/chown) - Package managers (apt/yum) - Service control (systemctl) - SSH configuration - Basic bash scripting The rest? You'll learn it when you actually need it. Stop drowning in theory. Start building.

🐋 Docker is written in Go ☸️ Kubernetes runs on Go 🛠️ Terraform is powered by Go 📈 Prometheus is built with Go 📊 Grafana is crafted in TypeScript ⚙️ Jenkins is built in Java 🐍 Ansible is written in Python 🍴 Chef is powered by Ruby 🎭 Puppet is built with Ruby 🔍 ELK Stack (Elasticsearch, Logstash, Kibana) relies on Java and Ruby 📟 Nagios is written in C 💾 Splunk is built with C++ ☁️ AWS CLI is written in Python 🔵 Azure CLI is powered by Python 🦊 GitLab is built with Ruby and Go 🔄 CircleCI is written in Clojure 🔐 HashiCorp Vault is powered by Go 🚀 ArgoCD is built with Go 🛡️ Istio is written in Go The core of the DevOps ecosystem runs on Go, Python, Ruby, and Java. Which of these are you leveling up in next?