Day 1: Build a Basic HTTP Key-Value Service — and Store Nothing Durable
Lesson 1
60 min
Learning Objectives
- ✓ Explain what a key-value store is and how PUT/GET work over HTTP.
- ✓ Build a simple in-memory key-value service in Go.
- ✓ Demonstrate that in-memory data is lost when the process restarts.
- ✓ Differentiate between in-memory storage and durable persistent storage.
- ✓ Recognize why durability matters for real-world databases and distributed systems.
- ✓ Run and verify the service using the demo scripts.
Course Curriculum
1
Day 1: Build a Basic HTTP Key-Value Service — and…
2
Day 2: Implement Concurrent Request Handling with Go Goroutines and…
3
Day 3: Persist Data to Disk with a Write-Ahead Log…
4
Day 4: Refine the API with Idempotent Operations — and…
5
Day 5: Add Structured Logging and Basic Metrics to Observe…
6
Day 6: Establish Inter-Node Communication with gRPC — and Handle…
7
Day 7: Implement Gossip for Dynamic Cluster Membership — and…
8
Day 8: Replicate Writes Asynchronously to Multiple Nodes with a…
9
Day 9: Implement Tunable Read and Write Quorums (N, W,…
10
Day 10: Kill a Replica Mid-Write — and Observe Divergent…
11
Day 11: Repair Data Divergence with Read Repair on GET…
12
Day 12: Replicate the Write-Ahead Log to a Second Node…
13
Day 13: Implement Anti-Entropy with Merkle Trees for Background Data…
14
Day 14: Build a Client-Side Load Balancer with Retries and…
15
Day 15: Partition the Network Between Replicas — and Observe…
16
Day 16: Hash Keys to Distribute Data Across Partitions —…
17
Day 17: Implement Consistent Hashing for Elastic Cluster Membership —…
18
Day 18: Build a Request Router to Direct Traffic to…
19
Day 19: Handle High Concurrency with Connection Pools and Backpressure…
20
Day 20: Grow the Cluster: Add a New Node and…
21
Day 21: Implement Hinted Handoff to Buffer Writes When a…
22
Day 22: Build a Coordination Service for Cluster-Wide Configuration Changes…
23
Day 23: Implement Snapshotting and Compacting the Write-Ahead Log —…
24
Day 24: Saturate a Node’s CPU/Disk/Network — and Watch Latency…
25
Day 25: Implement a Rolling Upgrade Strategy for the Service…
26
Day 26: Add Distributed Tracing to Follow Requests End-to-End —…
27
Day 27: Perform Capacity Planning: Benchmark Throughput and Latency Under…
28
Day 28: Define Service Level Objectives (SLOs) and Configure Anomaly…
29
Day 29: Introduce a Subtle Bug or Configuration Error —…
30
Day 30: Conduct a Post-Mortem and Document System Architecture with…
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