Distributed Systems Patterns
CommunityBuild reliable distributed systems.
Software Engineering#patterns#distributed systems#consensus#partitioning#replication#fault tolerance
Authoriceflower
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill provides a comprehensive catalog of patterns for designing and implementing robust distributed systems, addressing challenges like network latency, partial failures, and data consistency.
Core Features & Use Cases
- Data Replication: Learn patterns like Write-Ahead Log (WAL), Segmented Log, and Leader-Follower for data durability and availability.
- Data Partitioning: Understand strategies like Fixed Partitions and Key-Range Partitioning for scaling data storage.
- Distributed Time: Explore Lamport Clocks and Hybrid Clocks for ordering events in a distributed environment.
- Cluster Management: Discover patterns like Consistency Core, Lease, and Gossip for managing distributed nodes.
- Use Case: When designing a new microservice that requires high availability and fault tolerance, consult this Skill to select appropriate patterns for data replication and leader election.
Quick Start
Explain the Leader-Follower pattern for high availability.
Dependency Matrix
Required Modules
None requiredComponents
references
💻 Claude Code Installation
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Please help me install this Skill: Name: Distributed Systems Patterns Download link: https://github.com/iceflower/opencode-agents-and-skills/archive/main.zip#distributed-systems-patterns Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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