Yes. Every module, every lab, and every diagram is 100% free and ad-free. No paywall, no signup wall.

Free course

Distributed Systems Engineering: Building Scalable, Reliable & Secure Systems

Q: Is this course beginner-friendly?

Yes. Module 1 builds the mental model from scratch, and every subsequent module begins with foundational concepts before going production-deep. You should be comfortable with basic programming and Linux command line; everything distributed-systems-specific is taught in the course.

Q: How is this different from Designing Data-Intensive Applications?

DDIA is the canonical book on distributed-systems theory and the algorithms layer. This course focuses on the operational and production-engineering layer: how Kubernetes changes the game, how Zero Trust integrates, how to run real systems with observability, how failure scenarios actually unfold. Read DDIA alongside this course; the two complement each other.

Q: Does the course require Kubernetes experience?

No. Modules 1–9 are platform-agnostic. Module 10 introduces Kubernetes from the ground up, and Modules 11–12 use Kubernetes as the deployment substrate. If you already operate Kubernetes, you can skim Module 10.

Q: How do the labs work?

Each lab includes a self-contained scenario you can reproduce on a laptop with Docker or kind (Kubernetes in Docker). Lab repos are linked from each module. Labs are 30–90 minutes each and produce concrete operational outputs you can show in interviews.

Q: How does this course relate to the Mastering SPIFFE & SPIRE course?

They are complementary. Mastering SPIFFE & SPIRE goes deep on workload identity. Module 8 of this course introduces SPIFFE/SPIRE and Zero Trust at the level you need to design distributed-systems security. Take the SPIFFE & SPIRE course after Module 8 if you want the full identity-system depth.

A production-grade, beginner-friendly but deeply practical course on how real distributed systems actually work — from foundations through Kubernetes, observability, Zero Trust, and real-world failure recovery.

Beginner to Advanced12 modules36 hands-on labs50+ hours

Start Module 1 View curriculum Lab repository

Outcomes

What you will be able to build and explain

Each outcome is tied to architecture, operational judgement, or a concrete deployment habit you can reuse at work.

Outcome 1

A production-style Zero Trust Kubernetes platform

Outcome 2

Secure workload identities with automatic rotation

Outcome 3

mTLS-encrypted services via Envoy SDS

Outcome 4

OPA-powered authorization policies

Outcome 5

Federated trust domains across clusters

Outcome 6

Production monitoring with Prometheus dashboards

Learning loop

Learn the model, practice the decision, keep the checklist

The most practical distributed systems course you can take for free. Twelve modules walk you from foundations (CAP, latency, fault tolerance) through networking (gRPC, retries, load balancing), event-driven systems (Kafka, NATS), distributed data (replication, sharding, quorums), consensus (Raft, etcd, leader election), scalability (autoscaling, caching, rate limiting), reliability engineering (circuit breakers, chaos), Zero Trust (SPIFFE/SPIRE, mTLS, OPA), observability (OpenTelemetry, tracing), Kubernetes cloud-native architecture, real failure scenarios (split brain, retry storms, cache stampede), and production system design. Architecture-first. Diagram-heavy. Hands-on labs every module. Built for engineers who operate real systems.

Inspect the architecture

Start every module with the system model: components, trust boundaries, data flow, and the production problem it solves.

Practice the failure mode

Labs and exercises focus on the operational edge cases that separate tutorial knowledge from production confidence.

Ship with judgement

Production notes, common mistakes, and tradeoffs make the course useful when you are designing or reviewing real systems.

Good fit

Who should take this course?

This course is written for engineers who need practical production context, not abstract theory.

Backend Engineers stepping into distributed systems work

Platform Engineers building internal developer platforms

DevOps Engineers operating distributed infrastructure

SREs responsible for production reliability

Software architects designing scalable systems

Engineers preparing for senior/staff-level system design

Beginners who want a structured foundation in modern distributed systems

Curriculum

Full course path

12 modules, 36 hands-on labs, 50+ hours of production-focused learning.

Instructor

Vishal Anand

Senior Product Engineer & Tech Lead

Senior Product Engineer and Tech Lead with hands-on experience building production distributed systems at scale. Creator of DRF API Logger (1.6M+ downloads) and the Mastering SPIFFE & SPIRE course. Teaches engineering from operational reality — no theory without code, no concepts without labs.

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FAQ

Questions before you start

Is this course beginner-friendly?

How is this different from Designing Data-Intensive Applications?

Does the course require Kubernetes experience?

Is the course free?

How do the labs work?

How does this course relate to the Mastering SPIFFE & SPIRE course?

Topics

Course reference tags

Distributed SystemsCloud NativeKubernetesArchitectureScalabilityReliabilityZero TrustSPIFFESPIREmTLSObservabilityOpenTelemetryRaftConsensusKafkaService MeshProduction EngineeringSREPlatform Engineering