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
andwireshark
to trace packets
💡 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
ordistroless
🔐 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. 🔧 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 usetflint
in CI
🧱 Infra as Code isn't just writing resources-it's about reusability and governance.
6. 🔁 CI/CD
What to know:
- Design stateless, idempotent pipelines
- Use multi-environment promotion (e.g., Dev → QA → Prod) with approvals
- Manage secrets with Azure Key Vault or HashiCorp Vault
🚀 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
, orlocalstack
🤖 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. 📊 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
👁️ Observability isn’t optional. It's how you see into your systems and respond fast.
10. 🔐 Security (Shift Left)
What to know:
- Use
Trivy
,Checkov
, andDefender for Cloud
for early vulnerability scanning - Validate compliance using Azure Policy and Security Center
- Build immutable infrastructure - no SSH, no patching in prod
🔐 Secure infrastructure is built, not bolted on later.
Final Thought 💬
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.
📌 Pick one area. Go deep. Then level up the next.
🙏 If this was useful, drop a ❤️ or follow for future deep dives on DevOps, automation, and infrastructure engineering.
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