python-connection-pool-tuning
CommunityOptimize asyncio library pools for scalable Python SDKs.
Software Engineering#performance#scalability#resource management#connection pooling#asyncio#asyncpg#python SDK
AuthorPremModhaOfficial
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill addresses the challenge of properly sizing and managing connection pools in Python SDKs that utilize async libraries for database, HTTP, Redis, and Kafka clients, preventing resource exhaustion and improving performance.
Core Features & Use Cases
- Pool Sizing Heuristics: Calculates optimal max/min sizes based on throughput and latency targets.
- Library-Specific Configurations: Implements tailored connection settings for aiohttp, asyncpg, redis, httpx, and aiokafka.
- Use Case: A developer manages high-throughput SDKs for cloud APIs and databases, ensuring efficient connection reuse and avoiding deadlocks or leaks.
Quick Start
Configure each pool with heuristics matching your workload, and use the provided methods to create connections that respect maximum connections, keepalive, and DNS settings.
Dependency Matrix
Required Modules
None requiredComponents
scriptsreferences
💻 Claude Code Installation
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Please help me install this Skill: Name: python-connection-pool-tuning Download link: https://github.com/PremModhaOfficial/sdk-pipeline/archive/main.zip#python-connection-pool-tuning Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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