# Distributed Systems Patterns Samples

Comprehensive distributed systems patterns covering consistency, consensus algorithms, sharding, and fault tolerance mechanisms

> Canonical page: https://elysiatools.com/en/samples/distributed-systems

- **Category:** Architecture

- **Keywords:** distributed-systems, consistency, consensus, sharding, fault-tolerance, raft, pbft, replication

## Overview

Comprehensive distributed systems patterns covering consistency, consensus algorithms, sharding, and fault tolerance mechanisms

## Examples

- **Distributed Consistency Models**: Implementing different consistency models and coordination patterns in distributed systems
- **Consensus Algorithms (Raft, PBFT)**: Implementing Raft and PBFT consensus algorithms for distributed agreement
- **Sharding and Partitioning**: Implementing data sharding and partitioning strategies for scalable distributed systems
- **Fault Tolerance Mechanisms**: Implementing comprehensive fault tolerance with circuit breakers, retries, and failover strategies

## When to use

- Use this sample set when you want reference inputs for Distributed Systems Patterns Samples.
- Use it to preview output formats and compare related sample variants.

## How it works

- Open a sample entry to inspect the prepared example payload or asset.
- Compare it with related tools to understand how the workflow connects.

## Use cases

- Distributed Consistency Models
- Consensus Algorithms (Raft, PBFT)
- Sharding and Partitioning
- Fault Tolerance Mechanisms

## Frequently asked questions

### What is included in Distributed Systems Patterns Samples?

This page includes curated sample entries, related tools, and neighboring sample collections for Distributed Systems Patterns Samples.

## Related tools

- [Request Replay & Clock Skew Correction for Distributed Systems](https://elysiatools.com/en/tools/request-replay-clock-skew-correction-distributed-systems): Parse a raw HTTP request or curl command, estimate client↔server clock skew from the response Date header (NTP-style midpoint formula), inspect timestamp credentials (X-Amz-Date, x-ms-date, X-Timestamp, JWT iat/nbf), replay with ±skew offsets and diff the results against real tolerance windows (AWS SigV4 ±15 min, Azure, OAuth, JWT leeway).
- [Distributed Trace Decoder & Waterfall Visualizer](https://elysiatools.com/en/tools/distributed-trace-decoder-waterfall-visualizer): Decode Jaeger, Zipkin, or OpenTelemetry trace JSON and render span timing, dependencies, and error hotspots as an interactive waterfall report

## Related content

- [Event Sourcing Samples](https://elysiatools.com/en/samples/event-sourcing): Comprehensive event sourcing patterns covering event storage, CQRS architecture, state reconstruction, and event versioning strategies
- [Multi-Tenant Architecture Samples](https://elysiatools.com/en/samples/multi-tenant): Comprehensive multi-tenant architecture patterns covering data isolation, tenant management, resource quotas, and white-label solutions