A curated list of Site Reliability and Production Engineering resources.
rack layout designer
对java、scala等运行于jvm的程序进行实时日志采集、索引和可视化，对系统进行进程级别的监控，对系统内部的操作进行策略性的报警、对分布式的rpc调用进行trace跟踪以便于进行性能分析
K8s cluster simulator for capacity planning
A reasonably complete implementation of the Universal Scalability Law model.
Cluster capacity analysis tool for capacity estimation、scheduler simulation、cluster compression、fragmentation etc.
A curated list of awesome Site Reliability and Production Engineering resources.
Scenario-driven simulator for async distributed systems: declare topologies, run simulations, measure latency/throughput, resource usage and see where bottlenecks emerge.
Capacity management demo based on Jon Moore's talk https://www.youtube.com/watch?v=m64SWl9bfvk.
A Power BI template that provides fast and easy means of understand typical feature size, capacity planning and forecasting feature delivery. Works for Jira (Cloud) and Azure DevOps (as well as Azure DevOps Server and TFS).
Tonnage is a small utility to summarize the resource capacity and allocation of a Kubernetes cluster.
A control and management application for Microsoft Azure Devops
A Kubernetes resource recommender that extends the API server to provide native suggestions.
NetApp Modules for Collectd Perl Plugin
This project simulates a conveyor system with multiple workpiece carriers. Using Unity for 2D layout planning, it aims to answer questions about the required number of carriers. Salabim is employed for discrete event simulation to model and analyze the system's dynamic behavior. Developed as part of a university project.
A public tool to estimate GPU, VRAM, RAM, disk, and system requirements for running or training LLMs locally.
calculate the resulting size data will consume when stored on an Isilon system.
Sprint capacity planning for engineering teams. Calculates Focus Factor, stability and support ratio from real working hours, visualizes trends, compares sprints. Kotlin/Spring Boot + React/TypeScript
Memory capacity planner for running LLMs on the NVIDIA DGX Spark: unified-memory budgeting, bandwidth-aware decode-speed estimates, and a quantization advisor.
Interactive Gantt & capacity planner for software teams; prioritise tasks, model parallel streams, tune capacity, and compare delivery scenarios.