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advanced2 days (16 hours)in-person

Distributed Systems Fundamentals

Understand the core concepts that make distributed systems work - and fail. This intensive workshop covers theory, patterns, and hands-on implementation of distributed algorithms.

Distributed SystemsArchitectureConsensusScalability

Overview

Distributed systems are everywhere, but they remain one of the most challenging areas in software engineering. This workshop gives you the theoretical foundation and practical skills to design, build, and debug distributed systems with confidence.

Workshop Philosophy

We believe in learning by doing. While we cover the theory, the focus is on applying concepts through hands-on exercises. You'll implement simplified versions of real distributed algorithms, helping you internalize the concepts in a way that reading alone cannot achieve.

Day 1: Foundations

The first day focuses on understanding the fundamental challenges and concepts:

  • Why simple things become complex when distributed
  • The role of time and ordering in distributed systems
  • Consistency models and their practical implications
  • Replication strategies and tradeoffs

Day 2: Advanced Topics & Implementation

The second day dives deeper into algorithms and practical application:

  • Consensus algorithms (with Raft implementation)
  • Distributed transactions and patterns
  • Observability and debugging
  • Capstone project: building a distributed key-value store

Prerequisites

This is an advanced workshop. You should be comfortable with:

  • Building backend services
  • Basic networking (TCP/IP, HTTP)
  • Database fundamentals
  • Reading and writing code in at least one language

What You'll Take Away

  • Deep understanding of distributed systems principles
  • Practical experience implementing distributed algorithms
  • A framework for making distributed systems design decisions
  • Code you can reference and extend

What You Will Learn

  • Understand why distributed systems are fundamentally different
  • Apply the CAP theorem to real design decisions
  • Implement basic consensus algorithms
  • Design systems that handle partial failures gracefully
  • Choose appropriate consistency models for your use case
  • Debug distributed system failures systematically

Agenda

1

Why Distributed Systems Are Hard

2 hours

Network partitions, clock synchronization, failure modes, and the fundamental challenges of distribution.

2

Consistency Models

2 hours

Strong consistency, eventual consistency, causal consistency, and understanding the tradeoffs.

3

Replication Strategies

2 hours

Leader-follower, multi-leader, leaderless replication, and conflict resolution.

4

Consensus Algorithms

3 hours

The consensus problem, Paxos overview, Raft deep-dive with implementation exercise.

5

Distributed Transactions

2 hours

Two-phase commit, saga pattern, outbox pattern, and practical implementation.

6

Observability & Debugging

2 hours

Distributed tracing, log aggregation, and systematic debugging approaches.

7

Capstone Project

3 hours

Build a simplified distributed key-value store with replication and failure handling.

Training Details

Duration
2 days (16 hours)
Format
in-person
Level
advanced
Target Audience
  • Senior backend developers
  • System architects
  • Tech leads
  • Platform engineers

Prerequisites

  • Strong programming skills in any language
  • Experience building backend services
  • Understanding of basic networking concepts
  • Familiarity with databases