simba

Coordinate distributed locks and leader election for JVM applications.

33|4|Updated Sep 3, 2021
One-click install
npx skills add https://github.com/Ahoo-Wang/Simba --skill simba
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: simba
Source: https://github.com/Ahoo-Wang/Simba/tree/main/skills/simba
Command: npx skills add https://github.com/Ahoo-Wang/Simba --skill simba

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill eliminates the complexity of implementing reliable distributed locks and leader election across JVM application instances, removing the need to manually coordinate shared resource access and leader-only task scheduling in distributed systems.

Core Features & Use Cases

  • Multi-Backend Support: Integrates with Redis, JDBC/MySQL, and Zookeeper to match existing infrastructure, with Redis recommended for low-latency Pub/Sub-based lock notifications.
  • Flexible Usage Patterns: Offers three abstractions from low-level callback-based MutexContender to high-level leader-only AbstractScheduler, plus RAII-style SimbaLocker for simple acquire-use-release workflows.
  • Spring Boot Integration: Provides auto-configuration and property-based setup for rapid implementation in Spring-based JVM services, with configurable TTL and transition parameters for fine-tuned lock behavior and failure handling.

Quick Start

Use the simba skill to configure a Redis-backed distributed lock for leader election in your Spring Boot JVM service.

Frequently Asked Questions about simba

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I implement distributed locks for a Spring Boot JVM application?

Distributed locks for Spring Boot JVM applications are implemented via auto-configuration with configurable TTL and transition parameters. You can use Redis, JDBC/MySQL, or Zookeeper backends to coordinate shared resource access across distributed instances.

What is the best way to handle leader election across JVM instances?

Leader election across JVM instances is handled using distributed mutex functionality to designate a single leader for task execution. This supports failover handling and can utilize Redis, JDBC/MySQL, or Zookeeper as the coordination backend.

Does Redis work for low-latency distributed lock notifications?

Yes, Redis works for low-latency distributed lock notifications by utilizing Pub/Sub-based mechanisms. It is recommended among the supported backends, which also include JDBC/MySQL and Zookeeper for coordinating distributed instances.

Can I use different abstractions for distributed mutex management in JVM services?

Yes, you can use different abstractions for distributed mutex management including a low-level callback-based MutexContender, an RAII-style SimbaLocker for acquire-use-release workflows, and a high-level AbstractScheduler for leader-only scheduled tasks.

How do I configure lock TTL and transition parameters for failover handling?

Lock TTL and transition parameters for failover handling are configured through Spring Boot auto-configuration using property-based setup. This allows fine-tuning of distributed lock behavior and failure handling across JVM application instances.