Open Source Application Performance Monitoring Tools
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Application Performance Monitoring Tools
View 216 business solutionsBrowse free open source Application Performance Monitoring tools and projects below. Use the toggles on the left to filter open source Application Performance Monitoring tools by OS, license, language, programming language, and project status.
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Sentry JS
Sentry SDKs for JavaScript
From error tracking to performance monitoring, developers can see what actually matters, solve quicker, and learn continuously about their applications, from the frontend to the backend. Over 1M developers and 80K organizations already ship better software faster with Sentry application monitoring. Won’t you join them? Learn the ins and outs of distributed tracing and how it can assist you in monitoring the increasingly complex requirements of full-stack applications. Source code, error filters, stack locals, Sentry enhances application performance monitoring with stack traces. Quickly identify performance issues before they become downtime. View the entire end-to-end distributed trace to see the exact, poor-performing API call and surface any related errors. Breadcrumbs make application development a little easier by showing you the trails of events that lead to the error(s). -
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SigNoz
SigNoz is an open-source APM. It helps developers monitor their apps
Monitor your applications and troubleshoot problems in your deployed applications, an open-source alternative to DataDog, New Relic, etc. SigNoz helps developers monitor applications and troubleshoot problems in their deployed applications. SigNoz uses distributed tracing to gain visibility into your software stack. Visualise Metrics, Traces and Logs in a single pane of glass. You can see metrics like p99 latency, error rates for your services, external API calls and individual end points. You can find the root cause of the problem by going to the exact traces which are causing the problem and see detailed flamegraphs of individual request traces. Run aggregates on trace data to get business relevant metrics. Filter and query logs, build dashboards and alerts based on attributes in logs. -
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Sentry
Cross-platform application monitoring and error tracking software
Sentry is a cross-platform, self-hosted error monitoring solution that helps software teams discover, monitor and fix errors in real-time. The most users and logs will have to provide are the clues, and Sentry provides the answers. Sentry offers enhanced application performance monitoring through information-laden stack traces. It lets you build better software faster and more efficiently by showing you all issues in one place and providing the trail of events that lead to errors. It also provides real-time monitoring and data visualization through dashboards. Sentry’s server is in Python, but its API enables for sending events from any language, in any application. More than fifty-thousand companies already ship better software faster thanks to Sentry; let yours be one of them! -
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Uptrace
Open source APM: OpenTelemetry traces, metrics, and logs
Uptrace is an open-source APM tool that supports distributed tracing, metrics, and logs. You can use it to monitor applications and set up automatic alerts to receive notifications via email, Slack, Telegram, and more. Uptrace is an open-source APM that supports OpenTelemetry tracing, metrics, and logs. You can use it to monitor applications and set up alerts to receive notifications via email, Slack, Telegram, and more. Uptrace collects and analyzes data from a variety of sources, including servers, databases, cloud providers, monitoring tools, and custom applications. It provides a unified view of the entire technology stack, enabling you to monitor the performance, availability, and health of your systems in real-time. Uptrace allows to monitor your whole application stack on a compact and informative dashboard. You get a quick overview for all your services, hosts, and systems. -
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APM Server
APM Server
Elastic APM is an application performance monitoring system built on the Elastic Stack. It allows you to monitor software services and applications in real-time, by collecting detailed performance information on response time for incoming requests, database queries, calls to caches, external HTTP requests, and more. This makes it easy to pinpoint and fix performance problems quickly. Elastic APM also automatically collects unhandled errors and exceptions. Errors are grouped based primarily on the stack trace, so you can identify new errors as they appear and keep an eye on how many times specific errors happen. Metrics are another vital source of information when debugging production systems. Elastic APM agents automatically pick up basic host-level metrics and agent-specific metrics, like JVM metrics in the Java Agent, and Go runtime metrics in the Go Agent. -
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dd-trace
JavaScript APM Tracer
dd-trace is an npm package that you can install in your Node.js application to capture APM (Application Performance Monitoring) data. In Datadog terminology this library is called a Tracer. This data is then sent off to a process that collects and aggregates the data, called an Agent. Finally, the data is sent off to the Datadog servers where it's stored and made available for querying in a myriad of ways, such as displaying in a dashboard or triggering alerts. -
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Datadog Client Libraries for Go
Datadog Go Library including APM tracing, profiling, and security
Datadog Application Performance Monitoring (APM) gives deep visibility into your applications with out-of-the-box performance dashboards for web services, queues, and databases to monitor requests, errors, and latency. Distributed traces seamlessly correlate to browser sessions, logs, profiles, synthetic checks, network, processes, and infrastructure metrics across hosts, containers, proxies, and serverless functions. Navigate directly from investigating a slow trace to identifying the specific line of code causing performance bottlenecks with code hotspots. -
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Jaeger UI
Web UI for Jaeger
Visualize distributed tracing with Jaeger. Distributed tracing observability platforms, such as Jaeger, are essential for modern software applications that are architected as microservices. Jaeger maps the flow of requests and data as they traverse a distributed system. These requests may make calls to multiple services, which may introduce their own delays or errors. Jaeger connects the dots between these disparate components, helping to identify performance bottlenecks, troubleshoot errors, and improve overall application reliability. Jaeger is 100% open source, cloud native, and infinitely scalable. -
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Laravel Pulse
Laravel Pulse is a real-time application performance monitoring tool
Pulse delivers at-a-glance insights into your application's performance and usage. Track down bottlenecks like slow jobs and endpoints, find your most active users, and more. Uncover the users who make the most requests, engage with the slowest endpoints, and dispatch the most jobs throughout your Laravel applications. Take the guesswork out of optimizing your queue workers. See real-time and historical stats for how many jobs are pending, how many failed, and how many are processed successfully. See a high-level overview of your application's performance bottlenecks. View the slowest endpoints, queries, jobs, and outgoing requests that are impacting users. -
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Pinpoint
APM, (Application Performance Management) tool
Pinpoint is an APM (Application Performance Management) tool for large-scale distributed systems written in Java / PHP. Inspired by 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. Services nowadays often consist of many different components, communicating amongst themselves as well as making API calls to external services. How each and every transaction gets executed is often left as a blackbox. Pinpoint traces transaction flows between these components and provides a clear view to identify problem areas and potential bottlenecks. -
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apm-agent-java
Elastic APM Java Agent
Elastic APM Java Agent. Using the -javaagent option is the most common way to set up Java agents on a JVM. -
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qryn
All-in-one Polyglot Observability stack with ClickHouse storage
All the greatest observability formats and integrations you love, at once - LGTM Drop-in compatible. Let's get Polyglot. qryn independently implements popular observability standards, protocols and query languages. Make sure you have sufficient memory and disk resources allocated for your node service and clickhouse server when dealing with large amounts of data and fingerprints. We suggest 8GB RAM or higher for most setups with 100k-1M fingerprints. Observe your daily and weekly data consumption to forecast your disk usage requirements. Compression codecs and other optimizations can be performed at the ClickHouse level. -
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Alibaba iLogtail
Fast and Lightweight Observability Data Collector
iLogtail was born for observable scenarios and has many production-level features such as lightweight, high performance, and automated configuration, which are widely used internally by Alibaba Group and tens of thousands of external Alibaba Cloud customers. You can deploy it in physical machines, Kubernetes and other environments to collect telemetry data, such as logs, traces and metrics. Supports a variety of Logs, Traces, and Metrics data collection, and is friendly to container and Kubernetes environment support. The resource cost of data collection is quite low, 5-20 times better than similar telemetry data collection Agent performance. High stability, used in the production of Alibaba and tens of thousands of Alibaba Cloud customers, and collecting dozens of petabytes of observable data every day with nearly tens of millions deployments. -
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Apache SkyWalking
Application Performance Monitoring System
Apache SkyWalking is an open source application performance monitoring system designed specifically for microservices, as well as cloud-native and container-based(Docker, Mesos, Kubernetes) architectures. It is capable of monitoring, tracing and diagnosing distributed systems in cloud native architectures. Apache Skywalking supports the collection of telemetry data from a number of different sources and in different formats, such as Java, .NET Core, PHP, LUA agent and more. It also offers a solid core features set, which includes root cause analysis, service topology map analysis, performance optimization, and many more. -
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EaseAgent
An agent component for the Java system
A lightweight & opening Java Agent for Cloud-Native and APM system. EaseAgent is the underlying component that provides non-intrusive extensions to applications of the Java ecosystem. EaseAgent can collect distributed application tracing, metrics, and logs, which could be used in the APM system and improve the observability of a distributed system. for the tracing, EaseAgent follows the Google Dapper paper. EaseAgent also can work with Cloud-Native architecture. For example, it can help Service Mesh (especially for EaseMesh ) to do some control panel work. EaseAgent supports plugin mechanism development, which is easy to extend or add new functionality. -
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Elastic APM Node.js Agent
Elastic APM Node.js Agent
This is the official Node.js application performance monitoring (APM) agent for the Elastic Observability solution. It is a Node.js package that runs with your Node.js application to automatically capture errors, tracing data, and performance metrics. APM data is sent to your Elastic Observability deployment -- hosted in Elastic's cloud or in your own on-premises deployment -- where you can monitor your application, create alerts, and quick identify root causes of service issues. First, you will need an Elastic Stack deployment. This is a deployment of APM Server (which receives APM data from the APM agent running in your application), Elasticsearch (the database that stores all APM data), and Kibana (the application that provides the interface to visualize and analyze the data). If you do not already have an Elastic deployment to use, follow this APM Quick Start guide to create a free trial on Elastic's cloud. -
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Fiery
trace for PHP
Fiery is an APM-Application Performance Management for the PHP. -
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HertzBeat
An open source, real-time monitoring system with custom-monitoring
An open-source, real-time monitoring system with custom monitoring, performance-cluster, Prometheus-compatible and agentless. [Monitoring+Alarm+Notification] all in one. Support monitoring web service, database, os, middleware, cloud-native, network and more. Easy to use and agentless, offering full web-based operations for monitoring and alerting with just a few clicks. Makes protocols such as Http, Jmx, Ssh, Snmp, Jdbc configurable, allowing you to collect any metrics by simply configuring the template online. High performance, supports horizontal expansion of multi-collector clusters, multi-isolated network monitoring and cloud-edge collaboration. Provides flexible alarm threshold rules and timely notifications delivered via Discord Slack Telegram Email DingDing WeChat FeiShu Webhook SMS. -
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HttpReports APM
HttpReports is an APM (application performance monitor) system
HttpReports is an APM (application performance monitor) system for Net Core. Based on MIT open-source protocol, The main functions include statistics, analysis, visualization, monitoring, tracking, etc. It is very suitable for use in microservices. -
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JPFPSStatus
Show FPS Status on StatusBar
JPFPSStatus is a simple and lightweight tool that displays the frames per second (FPS) of an iOS app in real-time. Designed for performance debugging and optimization, it provides a floating overlay that shows the current FPS, helping developers monitor app responsiveness and rendering performance. -
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JavaMelody
Monitoring of JavaEE applications
The goal of JavaMelody is to monitor Java or Java EE applications in QA and production environments. The goal of JavaMelody is to monitor Java or Java EE applications in QA and production environments. It is not a tool to simulate requests from users, it is a tool to measure and calculate statistics on real operation of an application depending on the usage of the application by users. JavaMelody is open-source (ASL) and production-ready: in production in an application of 25 person-years. JavaMelody is easy to integrate in most applications and is lightweight (no profiling and no database). JavaMelody includes statistics of predefined counters (currently HTTP requests, SQL requests, jsf actions, struts actions, JSP pages, and methods of business façades if EJB3, Spring or Guice) with, for each counter. -
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SCOUTER
Scouter is open source APM (Application Performance Management) tool
SCOUTER is an open-source APM like New Relic and appdynamics. (APM means application performance monitoring or application performance management.) -
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UAVStack
UAVStack Open Source All in One Repository
UAVStack as an intelligent service technology stack is the integrated solution to R&D, operation and maintenance. As the acronym of unmanned aerial vehicle, UAV depicts the scenario where the unmanned aerial vehicle hovers under the sky and completes tasks in an intelligent and transparent manner. This stack features AIOps Robot (HIT), full dimension monitoring (UAV.Monitor), application performance management (UAV.APM), service governance (UAV.ServiceGovern), micro-service computing (UAV.MSCP), user experience management (UAV.UEM), etc. -
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apm-agent-dotnet
Elastic APM .NET Agent
Elastic APM .NET Agent. The agent can automatically instrument .NET Framework, .NET Core, and .NET applications using the .NET CLR Profiling APIs. The Profiling APIs provide a way to instrument an application or dependency code without code changes. -
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giropops-monitoring
Full stack tools for monitoring containers and other stuff
Giropops Monitoring is an open-source observability stack for infrastructure monitoring, combining Prometheus, Grafana, and Loki.
Guide to Open Source Application Performance Monitoring Tools
Open source application performance monitoring tools are a type of software that enables companies to monitor the performance, usage, and availability of their applications. These tools can be used to detect problems before they become major issues, alerting developers and administrators when there is an issue with a particular application. This type of monitoring also provides detailed insight into the overall performance of applications over time, allowing developers to identify areas where they may need to improve performance or fix bugs.
The main advantage of using an open source application performance monitoring tool is cost. By choosing an open source solution rather than a commercial product, companies can save on the total cost associated with purchasing and managing such software. They also benefit from having access to free updates and bug fixes in addition to being able to customize the software as needed for their specific needs. Furthermore, many open source tools are more scalable than their commercial counterparts meaning that there isn't necessarily a need to purchase costly upgrades as your company's needs grow over time.
Another benefit of using open source application performance monitoring tools is the ability it gives companies to leverage community support from other users who might be experiencing similar problems. This ensures that solutions are not just seen as individual cases but rather workable strategies that have been proven successful by others in similar situations – meaning it’s easier for companies to get up and running quickly if they encounter any unexpected issues during implementation and use of the tool. Additionally, because these solutions are developed collaboratively, users have access to more features than what may be available in proprietary products – making them ideal for those looking for advanced features without wanting to pay additional costs for features like threshold alerts or historical data analysis capabilities.
Finally, because these solutions are open source they don’t necessarily require any license fee or annual subscription fees which makes them attractive for those looking for lower ongoing maintenance costs compared with alternative solutions. Open source application performance monitoring tools also tend to have fewer compatibility issues meaning they can easily integrate into existing operations without needing significant changes or effort from IT staff members which saves time and money in the long run too.
In short, open source application performance monitoring tools offer a great way for companies to monitor the performance of their applications and save on associated costs. With increased community support, scalability and long-term savings compared to proprietary solutions they provide an attractive option for those looking for advanced features without excessive upfront or ongoing costs.
Features Offered by Open Source Application Performance Monitoring Tools
- Real-Time Monitoring: Open source application performance monitoring tools provide real-time visibility into application performance metrics, such as response time, resource utilization, latency, memory usage, page loading times and more. This allows developers to quickly identify and troubleshoot any issues that may arise during production or development.
- Application Profiling: Open source application performance monitoring tools allow developers to profile the application in order to obtain a detailed overview of its behavior. This includes gathering data on the most frequently used APIs, database queries, number of requests received and more.
- Automated Alerts: The open source monitoring tool can be configured to automatically alert you via text message or email if any anomalies are detected in the system’s performance. This feature allows developers to take quick action before any major issues occur.
- Dashboards & Reports: Most open source application performance monitoring tools provide customizable dashboards and reports that allow you to get an overall view of your applications’ performance over time. These reports can be used for trend analysis or for pinpointing where bottlenecks may exist in the system.
- Customizable Logging: Open source application performance monitoring tools come with powerful log management capabilities that allow developers to customize their logging so they can track errors and other important events in an efficient manner.
- Cross-Platform Compatibility: Many open source application performance monitoring tools are designed to work across multiple platforms, such as Windows, Linux, and Mac OS. This allows developers to monitor the performance of their applications regardless of the platform they’re running on.
- Scalability: Open source application performance monitoring tools can be easily scaled up or down depending on your needs. This allows developers to take advantage of powerful features without requiring expensive hardware upgrades.
What Are the Different Types of Open Source Application Performance Monitoring Tools?
- Nagios: This open source application performance monitoring tool is designed to monitor servers, networks, services and applications. It uses the “client/server” model to gather data from a variety of sources and then analyze it in order to detect potential issues.
- Zabbix: Zabbix is an open source application performance monitoring tool that allows users to easily track server resource utilization (CPU load, memory usage, disk space, etc.) as well as network bandwidth and latency.
- Cacti: Cacti is a popular open source application performance monitoring tool designed for large-scale network monitoring. It provides users with real-time graphs of performance metrics such as CPU load, server utilization, memory usage and disk utilization.
- Munin: This powerful open source application performance monitoring tool enables users to monitor the execution time of applications and services across multiple servers. It can also be used to generate reports on system load average, packet loss, disk I/O activity and other metrics related to system performance.
- PandoraFMS: PandoraFMS is an open source application performance monitoring tool that enables IT teams to monitor both local and remote systems in real time. It offers features such as discovery scans, alerting options and reporting capabilities for diagnosing root cause analysis quickly.
- JMX: JMX is an open source application performance monitoring tool that allows administrators to monitor and manage Java applications. It provides features such as automated notifications, health checks, and built-in alerting options for managing complex system environments.
- Graphite: Graphite is an open source application performance monitoring tool designed to monitor and visualize application metrics in real time. It provides features such as data collection, storage and visualization, alerting options and reporting capabilities.
- Logstash: Logstash is an open source application performance monitoring tool that enables users to collect, process and store log data in real time. It offers features such as filtering, alerting and alerts summary.
- Prometheus: Prometheus is a popular open source application performance monitoring tool designed for large-scale monitoring of containers and microservices. It provides features such as service discovery, metrics collection, alerting options and reporting capabilities.
Benefits Provided by Open Source Application Performance Monitoring Tools
- Cost Savings: Open source application performance monitoring tools provide cost savings since they are free to use. This eliminates the need for purchasing costly commercial software and associated licensing fees. Additionally, open source solutions often require minimal or no upfront costs, so companies can easily implement them without draining their budgets.
- Flexibility and Customization: Open source application performance monitoring tools offer flexibility and control over which features to include in the system. With commercial offerings, users may be limited by pre-defined options due to cost constraints. However, open source solutions enable users to customize their systems as desired, allowing them to tailor it for their own specific needs.
- Community Support: Since open source applications are developed in a collaborative manner, there is a strong community of developers that can provide support when needed. This makes it easier for users to get help quickly with any problems they encounter while using the application performance monitoring tool. Additionally, these communities are great resources for advice and best practices related to setting up and deploying the software in your environment.
- Security: Since open source applications are freely available on the web, anyone can look at them and make sure they're secure from vulnerabilities or malicious code before implementing them into an organization's system. This is a major benefit since it helps ensure that critical data remains protected from potential attackers as well as safeguards against other security threats like viruses or malware infections.
- Scalability: Open source application performance monitoring tools are highly scalable, meaning they can easily accommodate high traffic volumes as well as other growth demands. With commercial offerings, users may need to purchase expensive add-ons or upgrades to meet their scalability requirements, but open source solutions offer the ability to quickly and cost-effectively scale up or down without having to purchase additional software licenses.
Types of Users That Use Open Source Application Performance Monitoring Tools
- System Administrators: System administrators are responsible for maintaining the performance of systems and networks, which includes monitoring application performance.
- Database Administrators: Database administrators manage data within databases and need to ensure the system is running optimally. They use open source APM tools to increase visibility into database operations, identify hotspots, and track database activity.
- DevOps Engineers: DevOps engineers rely on open source APM tools to monitor application performance in real-time, detect issues quickly, and take corrective action.
- Quality Assurance Engineers: Quality assurance (QA) engineers use open source APM tools to test applications during development cycles and provide feedback when errors or poor performance is noticed.
- Application Developers: Application developers deploy their code using open source APM tools so they can track how it performs in production environments. This helps them optimize their applications and fix bugs quickly before they affect users.
- IT Managers: IT managers look for ways to optimize their infrastructure costs by utilizing open source APM solutions that help them monitor application performance in detail with low costs.
- Business Analysts: Business analysts use open source APM tools to analyze user behaviour and determine what features of an application are most used, what areas need improvement, or which features need to be removed.
- Security Professionals: Security professionals use open source APM tools to identify potential security threats in real-time and respond quickly to mitigate any problems.
How Much Do Open Source Application Performance Monitoring Tools Cost?
Open source application performance monitoring tools generally come at no cost, which makes them an attractive option for businesses on a budget. Open source tools can provide a wealth of information about the performance of your applications, allowing you to identify potential problems quickly and respond to them before they cause serious issues. By monitoring response times, resource utilization, network activity, and more, you can make sure your applications are running as efficiently as possible. The downside is that these tools typically don't offer the same level of detail that commercial products do. Additionally, open source tools may require more time and effort on the part of IT staff to set up and manage than their commercial counterparts. Nevertheless, open source performance monitoring solutions represent an excellent way for businesses to save money while still ensuring their applications are running reliably and smoothly.
What Do Open Source Application Performance Monitoring Tools Integrate With?
Software that can integrate with open source application performance monitoring tools includes both front-end and back-end development software. Front-end software, such as HTML, JavaScript, and CSS, is used to create user interfaces for web applications and websites. Back-end development languages like Python, Java, Ruby on Rails, PHP and Node.js are used to build the actual functionality of a web application or website. With these types of software integrated with open source Application Performance Monitoring (APM) tools such as New Relic or AppDynamics, developers can monitor real time performance data from their applications to ensure optimal performance and identify issues within them quickly.
Recent Trends Related to Open Source Application Performance Monitoring Tools
- Increased Granularity: Open source application performance monitoring tools are becoming increasingly granular, allowing users to monitor individual components of the application. This helps identify any issues or bottlenecks that would otherwise be difficult to detect.
- Improved Scalability: Many open source application performance monitoring tools offer improved scalability, so they can be used for applications of any size. This makes them an ideal choice for businesses needing flexible and reliable performance monitoring solutions.
- Automated Alerts: Open source application performance monitoring tools provide automated alerts when thresholds are exceeded or there is a breakdown in service levels. This feature helps ensure that users remain aware of potential problems quickly and proactively address them if necessary.
- Easy Integration: These tools are designed to be easy to integrate with other applications and systems, making it easier to track not just the performance of the target application but also other related systems as well.
- Unified Dashboards: Open source application performance monitoring tools allow users to view data from multiple sources through a single unified dashboard, providing a comprehensive overview of system health at a glance. This makes it easy to spot trends or correlations between different metrics that may affect overall system performance.
- Detailed Reports: Most open source application performance monitoring tools offer detailed reports on system activity, helping administrators identify areas where improvement is needed and make informed decisions about how best to address any issues that arise.
Getting Started With Open Source Application Performance Monitoring Tools
Getting started with open source application performance monitoring tools is relatively easy and can be completed in a few simple steps.
The first step is to find the right tool for your needs. The open source landscape is diverse and varied, so there’s likely to be something that fits what you need with a bit of research. Make sure to look at the features of each solution and read reviews from other users before making a decision.
Once you’ve found the right tool, it’s time to install it. Depending on your exact setup, this may vary but usually involves downloading an executable or running a script. It’s important that you follow the instructions carefully as improper installation could lead to unreliable results or security issues. If you need help, many open source projects have communities who are often willing to provide assistance when needed.
Next, configure the tool for your specific environment and applications. You should focus on setting up thresholds and alerts that will notify you if anything goes wrong before it affects your customers or operations adversely, as well as selecting any special measurements or metrics that are important for your system. Don't forget to test everything thoroughly before deploying it into production.
Finally, once everything is configured correctly and tested thoroughly, deploy the application performance monitoring tool into production so that you can start monitoring applications in real-time. With good configuration practices and careful tuning of metrics, you'll soon start gathering actionable insights about system performance and user experience which will help keep systems healthy and users happy.
