SCOUTER - APM (Application Performance Management) tool.

•    Java

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SCOUTER is an open source APM like new relic and appdynamics. (APM means Application Performance Monitoring or Application Performance Management.) SCOUTER shows metrics about Users (Active user, Recently used user, Today visitor), Services ( Active service, TPS, Response time, Application profiles(method profile, sql profile, external call profile etc) and Resources (Cpu, Memory, Network and Heap usage, Connection pools etc).

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Skywalking - APM, Application Performance Monitoring System

•    Java

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SkyWalking is an APM (application performance monitor) system, especially designed for microservices, cloud native and container-based (Docker, Kubernetes, Mesos) architectures. SkyWalking is an open source APM system, including monitoring, tracing, diagnosing capabilities for distributed system in Cloud Native architecture. It supports to collect telemetry (metrics, traces, and logs) data from multiple sources and multiple formats.

web-performance metrics logging prometheus zabbix apm dapper service-mesh observability distributed-tracing open-telemetry application-performance tracing

Apache Skywalking - A distributed tracing system, and APM ( Application Performance Monitoring )

•    Java

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SkyWalking is an APM(application performance monitor) system, especially designed for microservices, cloud native and container-based (Docker, Kubernetes, Mesos) architectures. It provides distributed tracing, service mesh telemetry analysis, metric aggregation and visualization all-in-one solution.

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goappmonitor - Golang application performance data monitoring.

•    Go

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Golang application performance data monitoring.GoAppMonitor is a library which provides a monitor on your golang applications. It contains system level based monitoring and business level monitoring(custom monitoring).Just add the repository into your apps and register what you want to monitoring.

golang-application monitoring agent profiler performance-tuning performance-analysis performance-metrics monitor-performance memory-leak-detection cpu-profiling memory-profiler tracing

Stagemonitor - Application performance monitoring for java server applications

•    Java

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Stagemonitor is a Java monitoring agent that tightly integrates with time series databases like Elasticsearch, Graphite and InfluxDB to analyze graphed metrics and Kibana to analyze requests and call stacks. It includes preconfigured Grafana and Kibana dashboards that can be customized. It supports Real Time Metrics, Call tree of the current request including SQL statements to identify the bottlenecks of a request, Execution time and count of database interactions, Analyze the HTTP headers and lot more.

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stackimpact-python - StackImpact Python Profiler - Production-Grade Performance Profiler: CPU, memory allocations, blocking calls, exceptions, metrics, and more

•    Python

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StackImpact is a production-grade performance profiler built for both production and development environments. It gives developers continuous and historical code-level view of application performance that is essential for locating CPU, memory allocation and I/O hot spots as well as latency bottlenecks. Included runtime metrics and error monitoring complement profiles for extensive performance analysis. Learn more at stackimpact.com. Learn more on the features page (with screenshots).

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Pinpoint - Application Performance Management tool for large-scale distributed systems in Java

•    Java

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Pinpoint is an APM (Application Performance Management) tool for large-scale distributed systems written in Java. Modelled after Dapper, Pinpoint provides a solution to help analyze the overall structure of the system and how components within them are interconnected by tracing transactions across distributed applications.

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Front-End-Performance-Checklist - 🎮 The only Front-End Performance Checklist that runs faster than the others

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Performance is a huge subject, but it's not always a "back-end" or an "admin" subject: it's a Front-End responsibility too. The Front-End Performance Checklist is an exhaustive list of elements you should check or at least be aware of, as a Front-End developer and apply to your project (personal and professional). For each rule, you will have a paragraph explaining why this rule is important and how you can fix it. For more deep information, you should find links that will point to 🛠 tools, 📖 articles or 📹 medias that can complete the checklist.

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AppMetrics - App Metrics is an open-source and cross-platform

•    CSharp

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App Metrics is an open-source and cross-platform .NET library used to record metrics within an application. App Metrics can run on .NET Core or on the full .NET framework also supporting .NET 4.5.2. App Metrics abstracts away the underlaying repository of your Metrics for example InfluxDB, Graphite, Elasticsearch etc, by sampling and aggregating in memory and providing extensibility points to flush metrics to a repository at a specified interval.App Metrics provides various metric types to measure things such as the rate of requests, counting the number of user logins over time, measure the time taken to execute a database query, measure the amount of free memory and so on. Metrics types supported are Gauges, Counters, Meters, Histograms and Timers and Application Performance Indexes Apdex.

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Kong - The Microservice API Gateway

•    Lua

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Kong is a cloud-native, fast, scalable, and distributed Microservice Abstraction Layer (also known as an API Gateway, API Middleware or in some cases Service Mesh). Backed by the battle-tested NGINX with a focus on high performance, Kong was made available as an open-source platform in 2015. Under active development, Kong is used in production at thousands of organizations from startups, Global 5000 and Government organizations.

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Perfume.js - Web performance library for measuring all User-centric performance metrics

•    Typescript

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Perfume is a JavaScript library for measuring Short and Long Script, First Contentful Paint (FCP), Time to Interactive (TTI), Component First Paint (CFM), annotating them to the DevTools timeline and reporting the results to Google Analytics.When a user navigates to a web page, they're typically looking for visual feedback to reassure them that everything is going to work as expected. Page Speed is a feature, and to deliver it we need to understand the many factors and fundamental limitations that are at play. If we can measure it, we can improve it.

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Vector - Performance Monitoring Framework

•    Javascript

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Vector is an open source on-host performance monitoring framework which exposes hand picked high resolution system and application metrics to every engineer’s browser. Having the right metrics available on-demand and at a high resolution is key to understand how a system behaves and correctly troubleshoot performance issues.

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jmxtrans - JMX metrics exporter

•    Java

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This is effectively the missing connector between speaking to a JVM via JMX on one end and whatever logging / monitoring / graphing package that you can dream up on the other end.

performance-monitoring monitoring jvm-monitoring apm

SQL Server and SQL Azure Performance Testing: Enzo SQL Baseline

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Run SQL statements in SQL Azure (or SQL Server) and capture performance metrics of your SQL statements (reads, writes, CPU...) against multiple databases. Run your statements in parallel, view performance results side-by-side and export to Excel for further analysis.

performance-analysis performance-testing sql-azure sql-server sql-server-2008 tuning

ruby_server_timing - Bring Rails server-side performance metrics 📈 to Chrome's Developer Tools via the Server Timing API

•    Ruby

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Bring Ruby on Rails server-side performance metrics 📈 to Chrome's Developer Tools (and other browsers that support the Server Timing API) via the server_timing gem. Production Safe™. Metrics are collected from the scout_apm gem. A Scout account is not required.

monitoring performance apm

netdata - Get control of your servers. Simple. Effective. Awesome! https://my-netdata.io/

•    C

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netdata is a system for distributed real-time performance and health monitoring. It provides unparalleled insights, in real-time, of everything happening on the system it runs (including applications such as web and database servers), using modern interactive web dashboards.netdata is fast and efficient, designed to permanently run on all systems (physical & virtual servers, containers, IoT devices), without disrupting their core function.

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dr-elephant - Performance monitoring and tuning tool for Apache Hadoop

•    Java

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Dr. Elephant is a performance monitoring and tuning tool for Hadoop and Spark. It automatically gathers all the metrics, runs analysis on them, and presents them in a simple way for easy consumption. Its goal is to improve developer productivity and increase cluster efficiency by making it easier to tune the jobs. It analyzes the Hadoop and Spark jobs using a set of pluggable, configurable, rule-based heuristics that provide insights on how a job performed, and then uses the results to make suggestions about how to tune the job to make it perform more efficiently.For more information on Dr. Elephant, check the wiki pages here.

Process Hacker - A free, powerful, multi-purpose tool that helps you monitor system resources, debug software and detect malware

•    C

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Process Hacker is a free, powerful, multi-purpose tool that helps you monitor system resources, debug software and detect malware.

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Elastic APM Server - Receives data from the Elastic APM agents and stores the data into Elasticsearch

•    Go

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The APM Server receives data from APM agents and transforms them into Elasticsearch documents. It does this by exposing an HTTP server endpoint to which agents stream the APM data they collect. After the APM Server has validated and processed events from the APM agents, the server transforms the data into Elasticsearch documents and stores them in corresponding Elasticsearch indices.

apm elasticsearch performance-monitoring error-monitoring devops performance-metrics tracing-server distributed-tracing

MoSKito - Monitoring for Java applications. Complete ecosystem for DevOps

•    Java

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MoSKito is an open source system for monitoring performance and behavior of Java web applications. It collects performance data like Threads. Memory. Caches. Storages. Services. Registrations. Payments. Conversion. Partner Performance etc. It is interval based, works simultaneously with short (from 1min) & long (up to 24h) time intervals, allowing instant comparison. It supports all major application servers. It supports live profiling, displays accumulated performance data in charts.

application-performance-monitoring apm performance-monitoring application-monitoring profiler