1.
Before Getting Started
1 Lesson
Get familiar with the basics of distributed systems and core concepts for beginners.
2.
Introduction to Distributed Systems
10 Lessons
Get started with the essentials of distributed systems, including benefits, challenges, and failure handling.
3.
Basic Concepts and Theorems
18 Lessons
Examine key distributed systems concepts: partitioning, replication, algorithms, CAP theorem, consistency, and isolation.
4.
Distributed Transactions
2 Lessons
Break down complex ideas in distributed transactions and their challenges across multiple nodes.
5.
Achieving Isolation
6 Lessons
Map out the steps for achieving isolation in concurrent transactions using various control mechanisms.
6.
Achieving Atomicity
5 Lessons
Focus on achieving atomicity in distributed transactions through 2PC, 3PC, and quorum protocols.
7.
Concluding Distributed Transactions
2 Lessons
Test your understanding of distributed transactions, ACID guarantees, and the saga pattern.
Learn how to use consensus algorithms like Paxos and Raft in distributed systems.
Walk through time handling in distributed systems, addressing event order without global clocks.
Work your way through event ordering, causality, and time synchronization in distributed systems.
Grasp the fundamentals of networking layers, protocols, and their roles in distributed systems.
Take a look at key security challenges in distributed systems, including authentication, confidentiality, and integrity.
13.
Security Protocols
5 Lessons
Follow the process of ensuring secure communication and validating entities in distributed systems.
14.
From Theory to Practice
1 Lesson
Master the steps to categorizing distributed systems and applying previously learned principles.
15.
Case Study 1: Distributed File Systems
5 Lessons
Step through the design, operations, and consistency models of distributed file systems.
16.
Case Study 2: Distributed Coordination Service
6 Lessons
Get started with Zookeeper for distributed coordination, ensuring reliable, efficient service management.
17.
Case Study 3: Distributed Data Stores
16 Lessons
Examine diverse distributed data stores including their architecture, performance, and consistency guarantees.
18.
Case Study 4: Distributed Messaging System
5 Lessons
Break down the steps to optimize, configure, and ensure messaging guarantees in Kafka.
19.
Case Study 5: Distributed Cluster Management
3 Lessons
Solve problems in distributed cluster management using Kubernetes components and resource coordination.
20.
Case Study 6: Distributed Ledger
5 Lessons
Focus on Corda's distributed ledger, its architecture, data model, and ensuring backwards compatibility.
21.
Case Study 7: Distributed Data Processing Systems
10 Lessons
Master distributed data processing with MapReduce, Apache Spark, and Apache Flink frameworks.
22.
Practices & Patterns
1 Lesson
Get familiar with fundamental practices and patterns for effective distributed systems.
23.
Communication Patterns
4 Lessons
Discover the logic behind communication patterns, data transfer, and models in distributed systems.
24.
Coordination Patterns
1 Lesson
Break apart key coordination patterns, orchestration vs. choreography, and ensure atomic operations.
25.
Data Synchronization
3 Lessons
Grasp the fundamentals of data synchronization, event sourcing, and Change Data Capture.
26.
Shared-nothing Architectures
2 Lessons
Take a closer look at shared-nothing architectures, optimizing scalability, availability, and fault tolerance in distributed systems.
27.
Distributed Locking
2 Lessons
Tackle distributed locking challenges and ensure safe operations using leases and fencing techniques.
28.
Compatibility Patterns
2 Lessons
Master techniques for maintaining backwards compatibility in evolving distributed systems.
29.
Dealing with Failure
6 Lessons
Solve problems in handling and minimizing failures in distributed systems effectively.
30.
Distributed Tracing
1 Lesson
Get started with distributed tracing, logging execution, and optimizing performance in complex systems.
31.
Concluding this Course
2 Lessons
Go hands-on with performance, scalability, security, and practical applications in distributed systems.