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A system whose components run on different networked computers and coordinate via message passing to achieve a common goal.
DESCRIPTION
Distributed systems coordinate multiple networked nodes to deliver cohesive functionality, addressing latency, failures, and consistency. Core concepts include replication, partitioning, consensus (Paxos, Raft), and the CAP theorem. Modern platforms implement microservices, service meshes, and data sharding for resilience and scalability. Design involves trade-offs among consistency, availability, and performance. Robust observability and chaos testing help ensure reliability under real-world conditions.
ALTERNATIVE DEFINITIONS
Wikipedia
A distributed system is a system whose components are located on different networked computers, which communicate and coordinate their actions by passing messages to one another.
Highlights physical distribution and coordination via messaging.
IBM
A distributed system is a collection of computers that share resources and coordinate their activities through message passing to achieve a common goal.
Emphasizes resource sharing and coordination for common objectives.
Microsoft Learn
Distributed applications run on multiple computers or virtual machines and communicate over the network to deliver functionality and performance that a single machine cannot.
Focuses on application-level design choices and scalability benefits.
RELATED TERMS
Microservices CAP Theorem Consensus Distributed Hash Table Edge Computing Cloud Computing Eventual Consistency Message Passing Durability (ACID) Replication Paxos Raft Service Mesh Distributed Computing
COMPETING TERMS
Monolithic System Centralized Systems
RELATIONS
- Narrower: Apache ZooKeeper BASE Ceph
KNOWLEDGE AREAS
Software Engineering Infrastructure Cloud Data Engineering Real-time & Streaming Data Data Architecture
TARGET AUDIENCE
Software Developer Cloud Architect DevOps Engineer Data Engineer Enterprise Architect Software Architect Solution Architect IT Manager
EXTERNAL SOURCES
- Wikipedia - Distributed system
- Microsoft - Azure architecture guidance
- IBM - Vendor overview and concepts
- AWS - Well-Architected distributed design
TOP QUESTIONS
Why build a Distributed System instead of a monolith?
Distributed systems scale horizontally, improve fault tolerance, and enable independent deployment. They also introduce complexity in networking, data consistency, and operations.
Category: Opinion
What is the CAP theorem’s relevance to Distributed Systems?
It describes trade-offs among consistency, availability, and partition tolerance, guiding design choices for services under network failures.
Category: Overview
What are common mistakes in Distributed System design?
Ignoring idempotency, retry storms, backpressure, and eventual consistency leads to fragile systems prone to cascading failures.
Category: Mistakes
How are failures handled in Distributed Systems?
Use replication, circuit breakers, exponential backoff, and observability to detect and recover from partial failures.
Category: Requirements
What is a hot topic around Distributed Systems today?
Service meshes, serverless architectures, and edge-native applications are reshaping distributed communication and deployment.
Category: Topic
How does data consistency work across nodes?
Systems use consensus protocols (e.g., Raft) or embrace eventual consistency to balance performance and correctness.
Category: Overview
What are typical testing approaches for Distributed Systems?
Chaos engineering, fault injection, canary releases, and contract testing validate resilience and interoperability.
Category: Testing
How should observability be implemented for Distributed Systems?
Collect metrics, logs, and traces with correlation IDs; employ SLOs, distributed tracing, and centralized monitoring.
Category: HowTo
Where can I start learning about Distributed Systems?
Begin with vendor architecture guides, foundational papers like Raft/Chord, and hands-on projects using cloud-native tooling.
Category: Learning