#Awesome#A curated list of Site Reliability and Production Engineering resources.
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
🎨 Kubernetes Usage Analytics Engine & Dashboards for Cost Allocation and Capacity Planning - Hourly Trends, Daily and Monthly Accounting. Actively tested against AKS, EKS, GCP, OKE, and OpenShift.
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.
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...
Tonnage is a small utility to summarize the resource capacity and allocation of a Kubernetes cluster.
calculate the resulting size data will consume when stored on an Isilon system.
#新手入门#Interactive Gantt & capacity planner for software teams; prioritise tasks, model parallel streams, tune capacity, and compare delivery scenarios.
Vikings Division had experienced a loss of profit due to not meeting their demand on time (i.e., backorders) and maintaining high work-in-process (WIP) inventory resulting in long production times. Th...
Frontend for a capacity planning software for teams in software development.
Solving linear programming using python optimizer interface. This repo allows you to add multiple decision vars and constraints etc. in a very easy way.
This project is inspired by the research work reported in the article Optimal Power Allocation in Server Farms . Server farms are a common part of many corporations’ computing infrastructure but they ...
Implementation of a genetic algorithm to solve the Knapsack problem with a capacity C and a given set of N objects. The genetic fitness function sums up the profits of the objects in the Knapsack.