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 Cost Allocation and Capacity Planning Analytics Tool. Built-in hourly, daily, monthly reports - Prometheus exporter - Grafana dashboard.

A reasonably complete implementation of the Universal Scalability Law model.

A curated list of awesome Site Reliability and Production Engineering resources.

Tonnage is a small utility to summarize the resource capacity and allocation of a Kubernetes cluster.

NetApp Modules for Collectd Perl Plugin

calculate the resulting size data will consume when stored on an Isilon system.

Capacity management demo based on Jon Moore's talk https://www.youtube.com/watch?v=m64SWl9bfvk.

SafBI

Scalability Analysis Tools

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 consume a lot of energy. The key question asked in this research is: Is it possible to reduce the energy consumption of server farms while maintaining good response time of the com- puting system.

Junction Capacity Analyzer

Capacity Planning on Windows Servers using Power BI

Python script to create Sprint resource capacity planner overview from various input data, like bank holidays team member vacations, etc.

System design requirement calculator that can perform envelop estimation

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. This was due to many factors including inaccurate forecasting leading to incorrect production quantities of different types of products, running inappropriate lot sizes, and using no formal scheduling methodology. The objective of the project was to aid the Vikings Division in better planning their operations for the future. This can be achieved through establishing a formal method for forecasting the demand, planning the production based on BOM and capacity, and scheduling the production of the different product types. In essence, streamlining the overall operations at the Vikings Division in an effort to increase the chances of meeting the required product demand(s) on time.

jira capacity planning service