Practical Distributed Systems

Lecture slides

1. Introduction
2. Data storage in distributed systems - part I
3. Data storage in distributed systems - part II
4. Stream processing - part I
5. Stream processing - part II
6. Stream processing - part III
7. Distributed file systems
8. Large-scale batch processing
9. Performance, latency and scaling
10. Load balancing
11. Cloud solutions

Laboratory instructions

1. Introduction
2. Database replication, load balancing and failover - Patroni
3. NoSQL, Schema Registry and Schema Evolution
4. Stream processing - part I - Apache Kafka
5. Stream processing - part II - Kafka Streams
6. Project Bootstrap
7. Object Storage
8. Batch processing using Apache Spark
9. Server benchmarking and load shedding
10. Load balancing
11. Cloud computing

Final Assignment

• Intro
• Specifications