👩💻 AWS • GCP • Docker • K8s • Terraform • Open Source ☕ Turning caffeine into code ✨ Keep it simple, make it powerful
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Joined August 2022
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Recently, I came across a Computer Networking session on YouTube by Kunal Kushwaha.
He explains Computer Networking and the OSI Model in a very simple and practical way — especially for people getting started with DevOps.
In the session, he breaks down concepts like:
• What the OSI Model actually means
• How data moves across different layers
• Real-life networking examples
• How systems communicate inside a network
What I liked most is that the explanation is very beginner-friendly and visual, which makes complex networking concepts much easier to understand.
If you’re starting your DevOps or Cloud journey and networking feels confusing, this session can really help build strong fundamentals.
#BuildInPublic
Megha Bhardwaj retweeted
i had claude go through every @kirat_tw podcast. 83 episodes, 40 hours
100+ devs explaining exactly how they got hired. most had no big college name
wrote down everything that worked
🚨 The fastest way into DevOps is NOT another certification. 🚨
It’s building something real.
Not just watching tutorials.
Not just collecting badges.
But actually building:
• Infrastructure with Terraform
• CI/CD pipelines with GitHub Actions or Jenkins
• Containers with Docker
• Orchestrating with Kubernetes
• Monitoring with Prometheus & Grafana
• Handling failures and fixing them
Because in real jobs, no one asks:
“What certificate do you have?”
They ask:
“What have you built?”
Projects teach you what courses don’t:
• Debugging under pressure
• Reading logs
• Fixing broken deployments
• Understanding trade-offs
Certifications validate knowledge.
Projects build engineers.
If you want to break into DevOps in 2026,
start building today.
🚨 The fastest way into DevOps is NOT another certification. 🚨
It’s building something real.
Not just watching tutorials.
Not just collecting badges.
But actually building:
• Infrastructure with Terraform
• CI/CD pipelines with GitHub Actions or Jenkins
• Containers with Docker
• Orchestrating with Kubernetes
• Monitoring with Prometheus & Grafana
• Handling failures and fixing them
Because in real jobs, no one asks:
“What certificate do you have?”
They ask:
“What have you built?”
Projects teach you what courses don’t:
• Debugging under pressure
• Reading logs
• Fixing broken deployments
• Understanding trade-offs
Certifications validate knowledge.
Projects build engineers.
If you want to break into DevOps in 2026,
start building today.
🤖 Made with AI
🐚 Shell scripting is a superpower for DevOps engineers.
• Variables → Store reusable values
• Loops → Repeat tasks automatically
• Conditions → Make decisions in scripts
• Functions → Reuse code efficiently
• Cron jobs → Schedule recurring tasks
• Exit codes → Check command success or failure
• Logging → Track script execution
• Error handling → Handle failures gracefully
From server maintenance to automated deployments, shell scripts save time and reduce repetitive work.
If you’re learning DevOps, don’t just run commands. Learn to automate them.
🐚 Shell scripting is a superpower for DevOps engineers.
• Variables → Store reusable values
• Loops → Repeat tasks automatically
• Conditions → Make decisions in scripts
• Functions → Reuse code efficiently
• Cron jobs → Schedule recurring tasks
• Exit codes → Check command success or failure
• Logging → Track script execution
• Error handling → Handle failures gracefully
From server maintenance to automated deployments, shell scripts save time and reduce repetitive work.
If you’re learning DevOps, don’t just run commands. Learn to automate them.
Megha Bhardwaj retweeted
maine to pehle hi bola tha leetcode/codeforces karke job mat lo but there is a reason main ab gyaan nahi deta
📊 Prometheus + Grafana = Smarter Monitoring
• Prometheus → Collects metrics
• Exporters → Expose system metrics
• PromQL → Queries monitoring data
• Alertmanager → Routes alerts
• Grafana → Turns metrics into dashboards
• Node Exporter → Tracks Linux server metrics
• Kube-State-Metrics → Exposes Kubernetes resource states
• Alert Rules → Detect problems before they escalate
A server going down is a problem.
Not knowing it’s going down is an even bigger one.
Monitor your systems. Understand your metrics. Act before users notice.
📊 Prometheus + Grafana = Smarter Monitoring
• Prometheus → Collects metrics
• Exporters → Expose system metrics
• PromQL → Queries monitoring data
• Alertmanager → Routes alerts
• Grafana → Turns metrics into dashboards
• Node Exporter → Tracks Linux server metrics
• Kube-State-Metrics → Exposes Kubernetes resource states
• Alert Rules → Detect problems before they escalate
A server going down is a problem.
Not knowing it’s going down is an even bigger one.
Monitor your systems. Understand your metrics. Act before users notice.
Megha Bhardwaj retweeted
Soft launching the Cloud Native Hackathon with $10k in cash prizes, joined by Kelsey, on November 9th in Salt Lake City, Utah.
Who is coming luma.com/cnh
🐧 Before you dive into DevOps, Cloud, AI, or Cybersecurity… Learn Linux first.
One thing I’ve learned about the tech industry is that strong fundamentals make everything else easier.
Linux isn’t just another skill to add to your resume. It’s the foundation behind many of the technologies we use every day.
☁️ Cloud Computing — Understand how servers work and manage them.
🚀 DevOps — Work with servers, troubleshoot issues, and automate tasks.
🐳 Docker & Kubernetes — Understand containers, processes, networking, and file systems.
🔐 Cybersecurity — Learn permissions, users, processes, and system security.
🤖 AI & Machine Learning — Work with development environments, GPUs, and Linux-based infrastructure.
💻 Backend Development — Understand server environments and application deployment.
If you’re starting your tech journey, don’t rush to learn every tool at once.
Start with the fundamentals:
✅ Linux commands
✅ File permissions and ownership
✅ Users and groups
✅ Processes and services
✅ Networking basics
✅ Shell scripting
✅ Logs and troubleshooting
Don’t just memorize Linux commands. Practice them, break things in a lab, troubleshoot errors, and understand what’s happening behind the scenes.
Because in DevOps, knowing a tool is useful.
Understanding the system behind that tool is what makes you better. 💡
Megha Bhardwaj retweeted
I want to connect with folks in tech who want to build a substantial side income but don’t know where to start.
Let’s grow and earn together.
☁️ Learning Cloud Computing?
Start with the basics:
→ What is cloud computing?
→ Learn AWS fundamentals
→ Understand EC2 and S3
→ Explore IAM and VPC
→ Practice with real projects
Don’t just watch tutorials. Build something, make mistakes, and learn how to fix them.
Learn by doing. Grow step by step.
☁️ Learning Cloud Computing?
Start with the basics:
→ What is cloud computing?
→ Learn AWS fundamentals
→ Understand EC2 and S3
→ Explore IAM and VPC
→ Practice with real projects
Don’t just watch tutorials. Build something, make mistakes, and learn how to fix them.
Learn by doing. Grow step by step.
Megha Bhardwaj retweeted
I see creators on X earning $18,280 ( Rs. 17,36,600 ) per month.
Rs. 57, 886 per day.
Yes. That's happening.
This is highest amount I see as of now.
You can also earn. In beginning not this much but may be $200 per month.
Create valuable content.
Megha Bhardwaj retweeted
50+ startups hiring in this thread:
1) @CruxClimate - remote US
2) @Chariot_IN - NYC
3) @clay - NYC / SF / London
4) @posthog - remote
5) @concurrencehq - SF / NYC
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8) @crosbylegal - NYC / remote US
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13) @ExtendHQ - NYC
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18) @genspark_ai - NYC / Palo Alto / Tokyo / US
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22) @HumaansHQ - London / SF
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24) @kepler_ai_hq - NYC
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26) @MeckaAI - NYC / SF / Toronto
27) @mintlify - SF / NYC
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29) @ModernTreasury - SF / NYC / remote
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33) @primitivelabsai - SF
34) @manufact - SF
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36) @runwayml - NYC / SF / remote
37) @slashapp - NYC / SF / remote
38) @VeryAI - SF / NYC / Miami / remote US
39) @autter_patch - remote PT
40) @naturalpay - SF
41) @QontextAI - Berlin
42) @rox_ai - SF / NYC / Bengaluru / Austin
43) @siriusai - SF
44) @tellicom - Berlin
45) @thenarrativecom - NYC
46) @TownAI - SF / NYC
47) @valkai - SF / NYC
48) Monarch Agents - Australia
49) StrikeArc - remote US
50) Initio - SF
51) Nerd Apply - NYC
52) Hotplate - SF
53) Quido - Milan / remote EU
Megha Bhardwaj retweeted
Hey friends, I have an important announcement to make, I am joining @coderabbitai
I have been passionate about Open Source since I started contributing to @angular and always dreamed of working as developer advocate because I was inspired by so many people like @manekinekko @AnfibiaCreativa @brandontroberts @John_Papa @adityaoberai @HaimantikaM @marktechson @_davideast @aravindputrevu @samjulien @niklas_wortmann and many more people in the community
Thanks to @aravindputrevu for a great interview process and @esthor @HKrackDev for a great conversation.
Looking forward to building one of the best Code Review AI tool together
dev.to/santoshyadavdev/open-…
🔄 CI/CD concepts every DevOps engineer should understand
• Source Control → Track code changes
• Build → Compile and package the application
• Testing → Catch bugs before deployment
• Artifact Repository → Store build outputs
• Pipeline → Automate the entire workflow
• Deployment → Release changes to environments
• Rollback → Recover from a failed release
• Monitoring → Track application health
• Notifications → Alert teams about pipeline results
• GitOps → Manage deployments through Git
The goal of CI/CD isn’t just faster deployments.
It’s making software delivery faster, safer, and more reliable.
Build a pipeline. Break it. Fix it. Learn from it.
🔄 CI/CD concepts every DevOps engineer should understand
• Source Control → Track code changes
• Build → Compile and package the application
• Testing → Catch bugs before deployment
• Artifact Repository → Store build outputs
• Pipeline → Automate the entire workflow
• Deployment → Release changes to environments
• Rollback → Recover from a failed release
• Monitoring → Track application health
• Notifications → Alert teams about pipeline results
• GitOps → Manage deployments through Git
The goal of CI/CD isn’t just faster deployments.
It’s making software delivery faster, safer, and more reliable.
Build a pipeline. Break it. Fix it. Learn from it.
🤖 Made with AI
