🌐 DistOrbit

🤝 Consensus

📋 Replication

🔀 Sharding

🛡️ Fault

🌐 Distributed Systems

Consensus • Replication • Sharding • Fault Tolerance • CAP Theorem • Distributed Computing

Master the art of building scalable, reliable systems — from distributed consensus and data replication to fault tolerance and cloud-native architectures.

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Distributed Systems Concepts & Algorithms

Distributed Systems Basics

Characteristics, challenges, goals, fallacies.

Architectural Models

Client-server, peer-to-peer, microservices, SOA.

CAP Theorem

Consistency, Availability, Partition tolerance trade-offs.

Clock Synchronization

NTP, physical clocks, Cristian's algorithm.

Logical Clocks

Lamport clocks, happened-before, vector clocks.

Causal Ordering

Total order, causal order, FIFO order.

Paxos

Prepare, promise, accept, learned, multi-Paxos.

Raft

Leader election, log replication, safety, cluster membership.

ZAB Protocol

ZooKeeper Atomic Broadcast, order guarantee.

Byzantine Fault Tolerance

PBFT, Byzantine generals, fault models.

Data Replication

Primary-backup, multi-master, quorum-based.

Replication Strategies

Eager vs lazy, synchronous vs asynchronous.

Quorum Systems

Read/write quorums, majority, hierarchical.

CRDTs (Conflict-Free Replicated)

State-based, operation-based, convergence.

Data Partitioning

Hash, range, consistent hashing, sharding.

Consistent Hashing

Virtual nodes, ring, load balancing.

Dynamic Sharding

Re-sharding, split, merge, migration.

Distributed Transactions

2PC, 3PC, TCC, saga, distributed ACID.

Two-Phase Commit (2PC)

Prepare, commit, recovery, blocking.

Three-Phase Commit (3PC)

Non-blocking, pre-commit, timeout.

Fault Tolerance

Failure models, redundancy, reliability metrics.

Redundancy Techniques

Active-passive, active-active, N-way.

Failure Detection

Heartbeats, gossip, phi-accrual.

Distributed Computing

MapReduce, DAG, dataflow, task scheduling.

MapReduce

Map, shuffle, reduce, fault tolerance.

Apache Spark

RDDs, DAG, in-memory, streaming.

Microservices Patterns

API gateway, service registry, circuit breaker.

Distributed Messaging

Kafka, RabbitMQ, pub-sub, queues.

Caching Strategies

Cache-aside, write-through, write-back, CDN.

Load Balancing

Round-robin, least connections, consistent hashing.

Distributed Storage

GFS, HDFS, object storage, blob storage.

Distributed File Systems

HDFS, Ceph, GlusterFS, NFS.

Distributed Key-Value Stores

DynamoDB, Cassandra, Riak.

ZooKeeper

Coordination, configuration, leader election.

etcd

Distributed key-value, Raft, service discovery.

Distributed Algorithms

Election, mutual exclusion, termination detection.

Leader Election

Bully, ring, Raft, ZooKeeper.

Distributed Security

Authentication, authorization, secure channels.

Distributed Monitoring

Prometheus, Grafana, distributed tracing.

Distributed Tracing

Jaeger, Zipkin, OpenTelemetry.

🌐 Distributed Systems Mastery Roadmap

🔰 Foundation

System basics, CAP theorem, architectural models

📶 Core

Logical clocks, replication, sharding, MapReduce

🔥 Deep Dive

Paxos, Raft, 2PC, CRDTs, microservices patterns

🏆 Frontier

BFT, distributed tracing, advanced consensus, quantum

🌐 Build Scalable Systems — Master Distributed Computing

Hands-on labs, algorithm implementations, and real-world system design challenges.

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