Rate limit auto-configure for Spring Cloud Netflix Zuul
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Updated
Aug 24, 2026 - Java
Rate limit auto-configure for Spring Cloud Netflix Zuul
A Home Assistant integration to track your load schedding schedule.
Custom Shelly Script Examples for Gen2 and Gen3 products
Request interceptor which improves the service time of cloud services by controlling GC interventions.
Python asyncio tools for web service resilience
Adaptive backpressure and load shedding for Go applications
The objective of this project is to develop a smart energy management system that optimizes and extracts energy from various sources during load shedding situations. Load shedding refers to the deliberate shutdown of power in specific areas to prevent an overload on the electrical grid.
A focused async bulkhead for Java that limits in-flight work and makes overload visible.
A lifo job queue to provide back pressure and load shedding
Resilient, high-performance distributed rate limiter library for Go and Redis. Features 5 algorithms (GCRA, Token Bucket, Sliding Window) with automatic thread-safe local in-memory fallback on Redis outages. Includes Gin, Echo, net/http middleware and an interactive CLI simulator dashboard.
Fail-fast admission control for LLM workloads, with concurrency limits, token budgeting, deduplication, streaming support, and overload protection.
The Shelly Green Grid Guardian project seeks to alleviate overloads in the electrical power network through the redistribution and reduction of domestic electricity consumption.
Adaptive, TCP-Vegas-inspired concurrency limiting for Node.js - sheds load based on latency gradient, not a fixed guess. Includes a benchmarked comparison against fixed-threshold and AIMD limiting.
Discord bot that monitors EcoFlow power stations in real time via MQTT. Get notified when grid power drops or returns, check battery status, and toggle AC/USB/DC outputs
Harmost - Rust reverse proxy that bounds SSR render concurrency for self-hosted Next.js. Request coalescing, safe microcaching, load shedding. Built on Pingora
Home Assistant custom integration for monitoring WAPDA electricity feeders via the Roshan Pakistan (CCMS PITC) portal — real-time feeder status, load shedding schedules, billing, net metering, and more.
Adaptive rate limiting based on PID control. A feedback-loop approach to stabilizing latency and throughput in Node.js applications.
Load limiting for JavaScript: adaptive concurrency limiting and slow-call circuit breaking. Sheds load when an upstream slows, not just when it errors.
Resilience Toolkit: A library for building fault-tolerant systems with Circuit Breakers and Load Shedders. Optimize reliability, handle failures gracefully, and manage high-load scenarios effectively.
A low-latency, adaptive load shedding library for backend services. Protects latency-sensitive services by rejecting or degrading low-priority traffic under overload, ensuring Service Level Objectives (SLOs) are maintained.
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