Azure Certified DevOps Engineer with Kubernetes, Terraform , Agentic AI , Azure Kubernetes Services

Target Audience:
2–10+ years (Developers, SysAdmins, Cloud Engineers, Architects, SREs)

Outcome:
✅ Handle real enterprise DevOps
✅ Design scalable platforms
✅ Crack system-design + DevOps interviews
✅ Think like a Staff / Principal Engineer

MODULE 1 — Modern DevOps Foundations (2026 Thinking)

What DevOps Really Means Now

• Evolution: DevOps → DevSecOps → Platform Engineering → Agentic DevOps
• DevOps vs SRE vs Platform Engineer roles
• DORA metrics (what leaders expect you to improve)
• Why “CI/CD only DevOps” is obsolete

Core Engineering Mindset

• Pets vs Cattle
• Immutable infrastructure
• Anti-patterns still seen in production
• Ownership and operational excellence

🎯 Interview Focus:
“How would you modernize a legacy org into cloud-native DevOps?”

MODULE 2 — Git & Source Control (Enterprise-Level)

Git Deep Dive (Beyond Basics)

• Git internals (objects, refs, HEAD)
• Rebase vs merge (real-world decision making)
• Monorepo vs Multi-repo strategies

Branching Strategies (Very Important)

• Git Flow (where it still fits)
• Trunk-Based Development (default in 2026)
• Release branches & hotfix handling
• Environment promotion via Git tags

Azure Repos / GitHub Enterprise

• Protected branches
• PR policies & mandatory checks
• CODEOWNERS
• Semantic versioning

🎯 Interview Focus:
“How do you manage multiple teams releasing independently?”

MODULE 3 — Azure DevOps (Enterprise CI/CD)

Azure DevOps Architecture

• Boards, Repos, Pipelines, Artifacts
• Self-hosted vs Microsoft-hosted agents
• Multi-org, multi-project isolation

YAML Pipelines (Advanced)

• Multi-stage pipelines (build → dev → qa → prod)
• Template-based pipelines
• Variable groups, key vault integration
• Manual approvals & gates
• Environment-based deployments

Azure DevOps Agents (Deep Dive)

• Agent pools design
• Scaling self-hosted agents
• Docker-based agents
• Ephemeral agents on Kubernetes
• Security hardening of build agents

🎯 Hands-On:
Build generic reusable pipeline templates used by 20+ apps.

MODULE 4 — Docker (Beyond “docker build”)

Docker Internals

• Namespaces & cgroups (interview gold)
• Image layers & caching
• BuildKit & multi-stage builds

Production Docker Practices

• Distroless images
• Non-root containers
• SBOM generation
• Image scanning (Trivy, Snyk)

🎯 Interview Focus:
“How do you optimize Docker images for security and size?”

MODULE 5 — Kubernetes (Production & Interview Depth)

Kubernetes Architecture

• API Server, Controller, Scheduler, etcd
• Pod lifecycle & scheduling decisions

Core Workloads

• Deployments, StatefulSets, Jobs, CronJobs
• Services, Ingress, Gateway API
• ConfigMaps, Secrets

Advanced Kubernetes (Must for 2026)

• RBAC & multi-tenant clusters
• Network policies
• Pod Security Standards
• HPA, VPA, Cluster Autoscaler
• Helm charts (templating logic)

GitOps

• ArgoCD / FluxCD
• Environment promotion via Git
• Drift detection & rollback

🎯 Interview Focus:
“How do you design Kubernetes for multi-tenant enterprises?”

MODULE 6 — End-to-End Infrastructure Build (Multi-Stage)

Cloud Architecture (Azure Focus)

• Landing zone design
• VNET architecture
• Private endpoints
• Azure AKS production setup

Environment Design

• Dev / QA / Prod isolation
• Separate subscriptions
• Shared vs dedicated services

Disaster Recovery & HA

• Multi-AZ strategy
• Backup & restore
• Blue-green & Canary deployment patterns

🎯 Hands-On:
Build one AKS platform serving 30 microservices.

MODULE 7 — Terraform (Enterprise-Level IaC)

Terraform Core

• State, backend, locking
• Modules & reusability
• Workspaces vs folders

Real Terraform Patterns

• Azure AKS module
• Networking module
• Role assignments
• Secrets handling via Vault
• Terraform + Azure DevOps integration

Multi-Environment Strategy

• DRY vs duplication tradeoffs
• Promotion model via pipeline
• Policy as code (OPA / Sentinel)

🎯 Interview Focus:
“How do you manage Terraform state for large orgs?”

MODULE 8 — Security & DevSecOps (Non-Negotiable in 2026)

CI/CD Security

• SAST, DAST, SCA integration
• Secrets scanning
• GitHub Actions / Azure Pipelines hardening

Kubernetes Security

• Image signing
• Runtime security
• Admission controllers
• Zero Trust networking

Supply Chain Security

• SBOM (CycloneDX)
• Artifact signing
• Provenance & traceability

🎯 Interview Focus:
“How do you prevent supply-chain attacks?”

[practical-...secops.com], [datadoghq.com]

MODULE 9 — Agentic AI in DevOps (Cutting Edge – 2026)

What Is Agentic AI?

• Difference: automation vs agents
• Single-agent vs multi-agent systems
• Guardrails & governance

DevOps Use Cases

• Auto PR review agent
• Incident triage agent
• Pipeline failure root-cause agent
• Infra drift detection agent
• Cost optimization agent

Tooling

• LangChain / CrewAI
• Logs + metrics as agent memory
• Action execution safety
• Human-in-the-loop approvals

🎯 Hands-On:
Build a DevOps AI agent that:

• Reads pipeline logs
• Identifies failure root cause
• Suggests fix PR

[slincom.com], [hackernoon.com]

MODULE 10 — Observability & AIOps

• Metrics (Prometheus)
• Logs (ELK)
• Tracing (OpenTelemetry)
• SLO / SLA design
• AI-based anomaly detection

MODULE 11 — Platform Engineering (What Most Courses Miss)

• Internal Developer Platforms (IDP)
• Self-service infra
• Golden paths
• Backstage.io
• Service catalogs

🎯 Interview Focus:
“How do you reduce developer friction?”

MODULE 12 — Cost Optimization (FinOps)

• AKS cost control
• Autoscaling strategies
• Budget alerts
• Chargeback / showback

MODULE 13 — Interview & Real-World Scenarios

System Design Questions

• Design CI/CD for 100 microservices
• Zero-downtime Kubernetes migration
• Secure multi-tenant AKS setup

Behavioral / Leadership

• Handling outages
• Pushing back on bad requirements
• Influencing architecture

✅ What You’re Not Missing (This Is Complete)

But optional advanced add-ons:

• Service Mesh (Istio) – niche but premium
• Multi-cloud strategy
• Edge Kubernetes

MODULE 14 — Multi‑Cloud Strategy & Architecture (2026 Reality)

Why this matters in 2026
Multi‑cloud is no longer “we may use AWS later”.
It is driven by:

• Vendor lock‑in avoidance
• Regulatory compliance (data residency)
• Cost optimization (FinOps)
• Cloud outage risk mitigation

Most senior DevOps interviews now ask multi‑cloud thinking even if the job uses only Azure.

14.1 Multi‑Cloud Fundamentals (Correcting Myths)

What Multi‑Cloud IS

• Using multiple cloud providers deliberately
• Different workloads on different clouds
• Not everything needs to run everywhere

What Multi‑Cloud IS NOT

• Copy‑pasting same infra on AWS/Azure/GCP
• “Kubernetes makes everything portable” (false without planning)

14.2 Multi‑Cloud Design Patterns

Pattern 1 — Cloud‑Specific Strengths

Pattern 2 — Failover / DR Multi‑Cloud

• Active‑Passive clusters
• DNS‑based traffic routing
• State replication challenges

Pattern 3 — Hybrid + Multi‑Cloud

• On‑prem + Azure + AWS
• Private connectivity
• Unified security & identity

🎯 Interview Focus:
“How would you design DR across Azure and AWS?”

14.3 Kubernetes in Multi‑Cloud

Cluster Strategy

• One cluster per cloud (recommended)
• Separate control planes
• Standardized baseline config

Multi‑Cluster Networking

• DNS based routing
• Global load balancers
• Service discovery challenges

GitOps as the Backbone

• One Git repo → many clusters
• Environment overlays
• Drift detection

14.4 Terraform for Multi‑Cloud

Terraform Design

• Provider‑agnostic modules
• Cloud‑specific modules wrapped by a core module
• Shared interface, separate implementations

State Management

• Separate state files per cloud
• Remote backends
• Secure state access

🎯 Hands‑On Lab:

• Provision AKS + EKS using same Terraform structure
• Deploy identical apps using GitOps
• Compare cost, latency, and operations

14.5 Identity & Security in Multi‑Cloud

Identity Federation

• Azure AD ↔ AWS IAM
• Workload identity
• Avoid long‑lived credentials

Policy & Governance

• Policy‑as‑Code
• Least privilege across clouds
• Unified audit & logging

🎯 Interview Focus:
“How do you manage identity securely across clouds?”

14.6 FinOps & Cost Governance

• Cloud cost comparison
• Budget enforcement
• Cost anomaly detection
• When multi‑cloud increases cost (very common interview trap)

14.7 Common Failure Scenarios (Real‑World)

• Latency explosions
• Inconsistent IAM
• Different managed K8s behaviors
• Logging & observability fragmentation

🎯 Leadership Angle:
When NOT to do multi‑cloud (very important)

MODULE 15 — Edge Kubernetes & Distributed Systems

Why Edge Kubernetes matters in 2026
Used heavily in:

• Telecom
• Manufacturing
• Retail
• IoT
• Logistics
• Real‑time data processing

Edge is about latency, bandwidth & intermittent connectivity, not hype.

15.1 Edge Computing Fundamentals

What Edge Is

• Compute closer to the data source
• Run workloads where cloud latency is unacceptable

Typical Edge Locations

• Retail stores
• Factory floors
• Cell towers
• Hospitals
• Vehicles

15.2 Edge Kubernetes Architecture

Edge Challenges

• Unstable network
• Limited CPU / RAM
• Physical security risk
• No full SRE team at edge

Edge‑Friendly Kubernetes Distributions

• K3s
• MicroK8s
• AKS Edge Essentials

🎯 Interview Focus:
“How do you run Kubernetes where internet is unreliable?”

15.3 Control Plane & Management Models

Central Control, Distributed Workloads

• Central GitOps controller
• Edge clusters pull configuration
• Central observability

Hub‑and‑Spoke Model

• Core cluster (cloud)
• Many edge clusters
• Shared policies

15.4 Deployment Strategies for Edge

GitOps‑First Edge

• Edge installs cluster once
• Everything else flows via Git
• No manual SSH

Offline‑First Deployments

• Image pre‑loading
• Local registries
• Retry mechanisms

🎯 Hands‑On Lab:

• Deploy K3s on edge nodes
• Sync apps from central Git repo
• Simulate network disconnection

15.5 Security at the Edge

Physical & Logical Security

• Node hardening
• Disk encryption
• Secure boot
• Tamper detection

Runtime Protection

• Minimal container images
• Strict RBAC
• Read‑only file systems

15.6 Observability in Edge Environments

Constraints

• Cannot stream logs nonstop
• Bandwidth caps

Solutions

• Local aggregation
• Batch uploads
• Alert‑first model

15.7 Edge + Cloud Coordination

Data Flow Patterns

• Edge → Cloud aggregation
• Event‑driven sync
• Cloud‑to‑edge config push

Use Cases

• Retail pricing updates
• Manufacturing telemetry
• Real‑time fraud detection

🎯 Interview Focus:
“How do you upgrade edge Kubernetes safely?”

15.8 Edge Kubernetes Anti‑Patterns

• Treating edge like normal cloud
• Full‑blown service mesh at edge
• Central dependency blocking edge operations