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Introduction to Distributed Systems for Dummies

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1.Introduction

Welcome to the Course What is a Distributed System?An Example from Scratch The Why of Distributed Systems Quick Quiz #1: The What and Why of Distributed Systems

2.What Distributed Systems Achieve for Us

Fault Tolerance Reliability Handling Hardware and Software Faults Quick Quiz #2: Fault Tolerance and Reliability Availability Achieving Availability Quick Quiz #3: Availability in Distributed Systems Scalability Load Balancing in Distributed Systems Load Balancing Algorithms Measuring Load and Performance Quick Quiz #4: Scalability and Load Balancers Maintainability Quick Quiz #5: Maintainability

3.Data in Distributed Systems

The Rise of Data Replication Replication Techniques Replication Types and Node Outages Quick Quiz #6: Replication Data Partitioning Partitioning Techniques Consistent Hashing Quick Quiz #7: Partitioning Consistency Tunable Consistency Quick Quiz #8: Consistency Caching Time to Leave and Eviction Policies in Caching Writing Policies for Caching Quick Quiz #9: Caching

4.Communication Between Nodes

Communication via Databases Communication in Services Communication Through Asynchronous Messages Quick Quiz #10: Communication between Nodes

5.Data Processing in Large Scale

Batch Processing MapReduce in Batch Processing Stream Processing Quick Quiz #11: Data Processing in Large Scale

6.Distributed System Architectural Patterns

Replicated Load-Balanced Services Sharded Services Lambda Architecture Command Query Responsibility Segregation (CQRS)Quick Quiz #12: Distributed Systems Architecture Patterns

7.Case Study 1: Apache Spark

Big Data and Apache Spark Architecture of Apache Spark

8.Case Study 2: Apache Druid

OLTP and OLAP Databases Architecture of Apache Druid

9.Conclusion

Introduction to Distributed Systems for Dummies

Quick Quiz #11: Data Processing in Large Scale

Evaluate your understanding of batch and stream processing.

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