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SANKET PATIL

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From Basics to Battle-Tested: 10 Tech Foundations You Should Actually Master

The tech industry moves fast, but solid foundations move with you.

Whether you're building cloud-native apps, running production-grade infrastructure, or automating deployments - there’s a huge difference between knowing the commands and understanding the systems.

Here’s a curated list of 10 core areas you should master, along with the why behind them.


1. 🐧 Linux + Networking

What to know:

  • Write robust Bash scripts with error handling and signal traps
  • Understand TCP/IP, subnets, MTU, and DNS resolution
  • Dive into iptables, not just cloud firewall rules
  • Use tools like tcpdump and wireshark to trace packets

πŸ’‘ If your app is slow or unreachable, networking fundamentals usually have the answer.


2. 🐳 Docker

What to know:

  • Use multi-stage builds to keep images clean
  • Integrate Trivy for vulnerability scanning in CI
  • Prefer minimal base images like alpine or distroless

πŸ” Smaller, more secure containers = faster and safer deploys.


3. 🧠 Git (Not Just the Commands)

What to know:

  • Use feature branch workflows with clean merges
  • Make atomic commits with meaningful messages
  • Understand Git's DAG structure (Directed Acyclic Graph)

🧬 Git history is your project's DNA. Learn to shape it cleanly.


4. ☁️ Cloud Platform (Pick One - Azure in this case)

What to know:

  • Design VNet architectures with private endpoints, service endpoints, and routing
  • Apply RBAC and Azure AD roles with least privilege
  • Enforce policy-based guardrails using Azure Policy and Blueprints
  • Optimize cost with resource tagging and Azure Cost Management

☁️ Cloud mastery = security, cost control, and scalability.


5. πŸ”§ Terraform

What to know:

  • Manage state responsibly (remote backend, locking, state drift detection)
  • Use modular design to scale Terraform across environments
  • Add validators with validation blocks and use tflint in CI

🧱 Infra as Code isn't just writing resources-it's about reusability and governance.


6. πŸ” CI/CD

What to know:

  • Design stateless, idempotent pipelines
  • Use multi-environment promotion (e.g., Dev β†’ QA β†’ Prod) with approvals
  • Manage secrets with Azure Key Vault or HashiCorp Vault

πŸš€ A broken pipeline breaks your ability to deliver. Build it right from the start.


7. 🐍 Python for Automation

What to know:

  • Write automation scripts with structured logging and exception handling
  • Use retry/backoff patterns when calling APIs
  • Build infrastructure tests with pytest, moto, or localstack

πŸ€– Python is your best friend for scripting and automation-write like it’s going to prod.


8. 🧭 Azure + GitOps

What to know:

  • Use Bicep or ARM templates to define infrastructure declaratively
  • Deploy infra using Azure DevOps Pipelines or GitHub Actions
  • Implement GitOps with Azure Arc or FluxCD on AKS
  • Use Policy as Code and custom Azure Policy Definitions for compliance

☁️ GitOps isn’t just for Kubernetes - it's a philosophy you can apply to ARM/Bicep and everything Azure-native.


9. πŸ“Š Logging + Monitoring

What to know:

  • Centralize logs, metrics, and traces using Azure Monitor and Application Insights
  • Create SLO-based alerts, not just static thresholds
  • Enable distributed tracing for microservices via OpenTelemetry

πŸ‘οΈ Observability isn’t optional. It's how you see into your systems and respond fast.


10. πŸ” Security (Shift Left)

What to know:

  • Use Trivy, Checkov, and Defender for Cloud for early vulnerability scanning
  • Validate compliance using Azure Policy and Security Center
  • Build immutable infrastructure - no SSH, no patching in prod

πŸ” Secure infrastructure is built, not bolted on later.


Final Thought πŸ’¬

This isn't about tools-it's about understanding how systems work and how to build for failure, scale, and security. Don’t just memorize flags. Learn the concepts.

πŸ“Œ Pick one area. Go deep. Then level up the next.


πŸ™ If this was useful, drop a ❀️ or follow for future deep dives on DevOps, automation, and infrastructure engineering.

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