This course is about establishing the basic principles of distributed systems. It explains the scope of their functionality by discussing what they can and cannot achieve. It also covers the basic algorithms and protocols of distributed systems through easy-to-follow examples and diagrams that illustrate the thinking behind some design decisions and expand on how they can be practiced. This course also discusses some of the issues that might arise when doing so, eliminates confusion around some terms (e.g., consistency), and fosters thinking about trade-offs when designing distributed systems. Moreover, it provides plenty of additional resources for those who want to invest more time in gaining a deeper understanding of the theoretical aspects of distributed systems.
This course is about establishing the basic principles of distributed systems. It explains the scope of their functionality by d...Show More
WHAT YOU'LL LEARN
Learn some of the complexities inherent in distributed systems.
Learn the key design problems in distributed systems.
Learn the key algorithms used in distributed systems.
Study the design of some real-life distributed systems.
Establish the concepts every system designer needs to know for efficient design of large-scale systems.
Learn the concepts software engineers need to know to make good use of distributed systems.
Learn some of the complexities inherent in distributed systems.
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TAKEAWAY SKILLS
Content
2.
Introduction to Distributed Systems
10 Lessons
Get started with the essentials of distributed systems, including benefits, challenges, and failure handling.
Getting StartedFallacies of Distributed ComputingDifficulties Designing Distributed SystemsMeasures of Correctness in Distributed SystemsSystem ModelsTypes of FailuresThe Tale of Exactly-Once SemanticsFailure in the World of Distributed SystemsStateless and Stateful SystemsQuiz on Essentials of Distributed Systems
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.
8.
Consensus
12 Lessons
Learn how to use consensus algorithms like Paxos and Raft in distributed systems.
9.
Time
5 Lessons
Walk through time handling in distributed systems, addressing event order without global clocks.
10.
Order
10 Lessons
Work your way through event ordering, causality, and time synchronization in distributed systems.
11.
Networking
9 Lessons
Grasp the fundamentals of networking layers, protocols, and their roles in distributed systems.
12.
Security
7 Lessons
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.
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.
23.
Communication Patterns
4 Lessons
Discover the logic behind communication patterns, data transfer, and models in distributed systems.
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.
31.
Concluding this Course
2 Lessons
Go hands-on with performance, scalability, security, and practical applications in distributed systems.
Certificate of Completion
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