Tutorials

Real depth, not a cheat sheet - each topic goes from foundational basics up through production-level judgment, in four tiers you can jump into at any level.

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Core Engineering Curriculum

DevOps Foundations & Basics Track

The four non-negotiable operational pillars: Master system internals, container engines, cluster orchestrators, and monitoring.

4 Progressive Pillars
🐧Pillar 1

Linux & Shell

Kernel architecture, process signals, memory management, cgroups v2, and bash internals.

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🐳Pillar 2

Docker Containers

OCI specifications, rootless containers, multi-stage builds, and networking namespaces.

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☸️Pillar 3

Kubernetes

Pods, Deployments, Services, Ingress, CNI, storage classes, and production failure recovery.

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📊Pillar 4

PGA Monitoring Stack

Prometheus time-series, Grafana observability dashboards, and Alertmanager routing & burn rates.

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Foundations

The fundamentals every DevOps workflow builds on.

Git

Version control workflows from daily commands through team-scale branching and history management.

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Linux

The operating system fundamentals every DevOps workflow ultimately runs on.

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Networking

How requests actually travel from a browser to a server and back - DNS, TCP, load balancers, and TLS, from first principles to production scale.

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Operating Systems

Processes, memory, and the kernel internals behind why services get OOM-killed, throttled, or mysteriously slow in production.

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Nginx

Reverse proxying, load balancing, and TLS termination: the web server sitting in front of almost everything you'll deploy.

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Prometheus, Grafana & Alertmanager (PGA Stack)

The standard monitoring and alerting stack for Kubernetes and production systems. From metrics scraping to multi-window SLO burn-rate alerts.

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DevOps Core

The tools and practices at the center of the job.

Kubernetes

From container orchestration fundamentals to production-grade cluster operations - real commands, real YAML, real judgment calls.

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Docker

Containerization fundamentals through production image and runtime practices.

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Bash ScriptingCore

Writing real shell scripts - variables, loops, conditionals, and the habits that keep them from breaking in production.

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HelmCore

Kubernetes' package manager - charts, values, releases, and templating a real deployment.

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CI/CDCore

Build, test, and deployment pipelines - GitHub Actions, GitLab CI, and the deployment strategies that keep releases safe.

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GitOpsCore

Git as the single source of truth for infrastructure and deployments - ArgoCD, reconciliation loops, and drift.

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AnsibleCore

Agentless configuration management - playbooks, idempotency, and automating fleets of servers consistently.

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Caching, Redis & MemcachedCore

When to cache, which tool actually fits (Redis vs Memcached vs a key-value store), and the failure modes that come with either.

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Cloud & Production

Running real infrastructure on a real cloud provider.

AWS FundamentalsCore

The core AWS services DevOps interviews actually ask about - EC2, VPC, IAM, load balancers, S3, RDS, and how they fit together.

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Production & SRE

Observability, reliability, and security once something is live.

ObservabilityCore

Metrics, logs, and traces - Prometheus, Grafana, Loki, OpenTelemetry, and alerting that actually catches problems.

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SRE FundamentalsCore

SLIs, SLOs, error budgets, incident management, and the practices that keep production reliable on purpose.

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DevSecOps & SecurityCore

Container and Kubernetes security, secrets management, TLS, image scanning, and RBAC done right.

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Interview Profiles

Role-specific depth for interviews beyond core DevOps: system design and ML infrastructure.

System DesignCore

The terminology and concepts that come up in every system design interview, explained in plain language first, real term second.

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ML/OpsCore

Deploying and operating machine learning systems in production: model serving, pipelines, monitoring, and the infrastructure that keeps ML systems reliable.

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OOP & Low-Level System Design (LLD)Core

Master Object-Oriented Programming, SOLID principles in microservices, distributed concurrency patterns, and Low-Level Architecture for production systems.

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    Welcome to OpsQuiz!

    Real scenario-based DevOps questions, hands-on practice, and clear explanations for every answer.