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. Applications deployment
12. Cloud solutions
13. Monitoring and observability
14. Data Centers and networks

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. Applications deployment
12. Cloud computing
13. Monitoring and observability

Final Assignment

• Intro
• Specifications