Open Source Go Performance Testing Software

Ethr is a cross-platform network performance measurement tool written in golang. The goal of this project is to provide a native tool for comprehensive network performance measurements of bandwidth, connections/s, packets/s, latency, loss & jitter, across multiple protocols such as TCP, UDP, HTTP, HTTPS, and across multiple platforms such as Windows, Linux and other Unix systems. Ethr takes inspiration from existing open-source network performance tools and builds upon those ideas. For Bandwidth measurement, it is similar to iPerf3, for TCP & UDP traffic. iPerf3 has many more options for doing such as throttled testing, richer feature set, while Ethr has support for multiple threads, which allows it to scale to 1024 or even higher number of connections, multiple clients communication to a single server etc. For latency measurements, it is similar to latte on Windows or sockperf on Linux.

cAdvisor (Container Advisor) provides container users an understanding of the resource usage and performance characteristics of their running containers. It is a running daemon that collects, aggregates, processes, and exports information about running containers. Specifically, for each container it keeps resource isolation parameters, historical resource usage, histograms of complete historical resource usage and network statistics. This data is exported by container and machine-wide. cAdvisor has native support for Docker containers and should support just about any other container type out of the box. We strive for support across the board so feel free to open an issue if that is not the case. cAdvisor's container abstraction is based on lmctfy's so containers are inherently nested hierarchically. To quickly tryout cAdvisor on your machine with Docker, we have a Docker image that includes everything you need to get started. You can run a single cAdvisor to monitor the whole machine.

High-performance tabular data export tool. Support Xlsx/CSV as mixed input of tabular data. Support JSON/Golang/C#/Java/Lua/binary source, data, and type output. Automatic cell data format checking, accurate to cell errors. Support predefined enumeration can use Chinese enumeration type. Support table splitting, support multi-person collaboration. Support KV configuration table, convenient to use the table as a configuration file. Multi-core concurrent export, cache acceleration, export hundreds of files in seconds. The fifth-generation exporter, tabtoy v1 is refactored on the basis of the fourth generation, open-source, and supports concurrent export. Binary merge export (5th generation exporter requires 2 tools to complete). For performance reasons, the C# source code reads the tabtoy-specific binary format by default.

To meet the requirements presented at the beginning of this chapter, we implemented our own cache and named it BigCache. The BigCache provides shards, eviction and it omits GC for cache entries. As a result, it is very fast cache even for large number of entries. Freecache is the only one of the available in-memory caches in Go which provides that kind of functionality. BigCache is an alternative solution for it and reduces GC overhead differently, therefore we decided to share it. Fast, concurrent, evicting in-memory cache written to keep big number of entries without impact on performance. BigCache keeps entries on heap but omits GC for them. To achieve that, operations on byte slices take place, therefore entries (de)serialization in front of the cache will be needed in most use cases.

Utility to simplify running applications in docker containers. dockerize is a utility to simplify running applications in docker containers. It allows you to generate application configuration files at container startup time from templates and container environment variables. generate application configuration files at container startup time from templates and container environment variables. Wait for other services to be available using TCP, HTTP(S), unix before starting the main process. The typical use case for dockerize is when you have an application that has one or more configuration files and you would like to control some of the values using environment variables. Another use case is when the application logs to specific files on the filesystem and not stdout or stderr. This makes it difficult to troubleshoot the container using the docker logs command.

A multithreaded Zabbix agent benchmarking tool with support for custom keys and discovery item prototypes. This tool is useful for developing custom Zabbix agent items and quickly identifying memory or file handle leaks, concurrency problems such as race conditions and other performance issues.