Sharding & Partitioning

Sharding splits data across machines so a dataset can grow beyond one server. Learn range, hash and directory-based partitioning, hot-spot handling and rebalancing with working code.

17 lessons across 9 courses

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Sharding & Partitioning lessons by course

Distributed Key Value Store : DurableKV

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1. Day 15: Partition the Network Between Replicas — and Observe Stale Reads
2. Day 16: Hash Keys to Distribute Data Across Partitions — and Understand Data Locality
3. Day 18: Build a Request Router to Direct Traffic to the Correct Partition Owner — and Avoid Cross-Node Hops

Hands-On Distributed Systems Engineering in Go

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1. Day 17: Sharded Mutexes: The First Step in Scaling
2. Day 28: Adaptive Sharding and Resizing
3. Day 51: Handling Network Partitions and Re-elections

Hands-On Distributed Systems Engineering in Java

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1. Day 15: Database Sharding – Partitioning Data for Scale
2. Day 18: Distributed Caching – Redis Cluster and Partitioning
3. Day 36: Advanced Chaos Engineering – Simulating Network Partitions

Hands On Kafka Course

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1. Trial Lesson : Topics & Partitions Strategy – StreamSocial’s Parallel UniverseFREE
2. Lesson 3 : Producer Reliability, Ordering, and Partitioning

Designing Resilient API Architectures at Scale: REST, GraphQL, and gRPC

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1. Day 3: Construct a Client-Side Connection Pool with Active Health Probes — and Survive Sudden Network PartitionsFREE

Testing & TDD: Building Resilient Distributed Systems

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1. Day 6: Partition the Network and Crash a Replica — and Test for Split-Brain

System Design with Data Structures & Algorithms

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1. Day 48: Database Sharding

Designing and Building a High-Scale PHP Content Management System

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1. Day 27: Sharding Strategies: Implementing range vs. hash partitioning.

Advanced Java for Banking and Ledger Systems

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1. Day 35: Database Sharding Strategies

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