20 Best Application Performance Management Software In 2023

Lumigo is a company that specializes in cloud-native monitoring and observability solutions, specifically designed for applications and services hosted on Amazon Web Services (AWS). Lumigo provides tools and services that help organizations monitor, troubleshoot, and optimize their serverless and microservices applications on AWS.

Why I Picked Lumigo: Lumigo excels as an application performance management software by offering comprehensive observability solutions tailored to serverless and microservices architectures on AWS. It stands out with its ability to provide distributed tracing, error tracking, and performance monitoring, helping organizations quickly pinpoint and resolve issues within their cloud-native applications. With real-time alerts, seamless integration with AWS services, and a focus on cost optimization, Lumigo empowers businesses to ensure the reliability, efficiency, and cost-effectiveness of their serverless and microservices deployments, ultimately enhancing the overall performance and user experience of their applications.

Lumigo Standout Features & Integrations

Key features include automated distributed tracing feature goes beyond traditional manual instrumentation. It automatically traces and visualizes the flow of requests and events across AWS services, eliminating the need for developers to add custom code for tracing. This automation streamlines the observability process and reduces the burden on development teams, making it easier to gain insights into complex, serverless architectures.

Integrations include AWS, Gmail, Outlook, Slack, PagerDuty, Microsoft Teams, VictorOps, and OpsGenie. 

New Relic is a robust and comprehensive observability tool that can help you monitor and debug multiple aspects of your stack.

Why I picked New Relic: This software centralizes your security, issues, and bug tracking in one place, helping you keep an eye across all your tools and data sources. You get a complete overview of health insights at every stage of development, and every part of your stack. Its performance tracking capabilities help you spot and diagnose errors and issues swiftly. The platform's AI assistant, 'Grok', can read your telemetry and identify any notable outliers for you. You can ask it questions, and it can not just help you determine a root cause for an issue but also provide you with potential code changes.

New Relic Standout Features & Integrations

Key features include the software's newly-implemented interactive application security testing (IAST) capabilities. The tool helps you spot and fix high-risk errors and vulnerabilities during the development process. By using the tool, you can troubleshoot issues in your code more quickly and ship more secure, well-tested products.

Integrations include over 500 apps including AWS, Google Cloud, Microsoft Azure, Jenkins, CircleCI, Travis CI, and Slack. It also has an API you can use to build custom integrations.

Splunk is a leading application performance management software that specializes in real-time data analytics and monitoring. With its powerful log management, event correlation, and visualization capabilities, Splunk allows organizations to gain valuable insights into their application performance, troubleshoot issues, and make data-driven decisions for improving performance and availability.

Why I Picked Splunk: Splunk is highly effective for application performance management software, particularly in the realm of log monitoring and analysis. Splunk's strength lies in its ability to ingest, index, and analyze vast amounts of log data from various sources. It excels in log monitoring by providing real-time visibility into application logs, enabling users to proactively identify and resolve performance issues. Splunk's robust search and analysis capabilities allow users to perform complex searches, create custom dashboards, and generate insightful reports to gain deep insights into application behavior and performance. Moreover, Splunk's machine learning capabilities enable anomaly detection, pattern recognition, and predictive analysis, facilitating proactive monitoring and alerting for potential performance bottlenecks.

Splunk Standout Features & Integrations 

Key features include unparalleled flexibility in data ingestion, allowing users to ingest and index data from a wide range of sources, including logs, metrics, events, and more. Its robust data collection and parsing capabilities enable users to extract valuable insights from structured and unstructured data. Plus, Splunk's ecosystem of apps and integrations is vast, offering a wide variety of pre-built integrations and apps for seamless connectivity with different technologies, platforms, and tools. 

Integrations include AWS services, Google Cloud Platform, Microsoft Azure services, Kubernetes, Istio, Jaeger, Linkerd, Micrometer, Prometheus, Spring Boot, Telegraf Agent, Zipkin, and other software options in the testing and monitoring space. 

Gatling is a high-performance application performance management software designed for load testing and stress testing. With its powerful scripting capabilities and real-time monitoring features, Gatling allows users to simulate thousands of concurrent users, measure performance metrics, and identify performance bottlenecks, helping organizations ensure the scalability and reliability of their applications.

Why I Picked Gatling: Gatling is a powerful performance testing tool that excels in various areas, including scenario recording. With Gatling, testers can easily record user interactions and generate test scenarios by using the built-in recorder. The scenario recording feature captures HTTP requests and responses, along with user actions, allowing testers to create realistic test scripts without the need for manual scripting. It enables the conversion of user interactions into executable Gatling scripts, saving time and effort in test script creation. Gatling's scenario recording feature provides flexibility, allowing testers to customize and modify the generated scripts as needed, ensuring accurate simulation of user behavior and realistic load testing scenarios.

Gatling Standout Features & Integrations 

Key features include built-in support for handling asynchronous requests, such as long polling and web sockets, allowing testers to accurately simulate real-world scenarios where multiple concurrent asynchronous requests are being processed. Gatling also boasts a powerful simulation engine that allows testers to define complex and realistic user scenarios. Its DSL (domain-specific language) provides a concise and expressive syntax for describing user behavior, allowing testers to create sophisticated test scenarios easily. 

Integrations include Github Actions, Gitlab CI, Jenkins, Teamcity, and Bamboo. You can build additional connections using the Gatling API. 

BMC TrueSight is an application performance management software that provides comprehensive monitoring and analysis capabilities for complex IT environments. With its advanced analytics, proactive alerting, and deep visibility into applications and infrastructure, TrueSight empowers organizations to optimize application performance, ensure high availability, and deliver superior user experiences.

Why I Picked BMC TrueSight: BMC TrueSight stands out in application performance management software with its strong focus on root cause analysis. TrueSight employs advanced analytics and machine learning algorithms to analyze the vast amount of data collected from various sources, including infrastructure, applications, and user interactions. By correlating and contextualizing this data, TrueSight can identify patterns, anomalies, and potential causes of performance issues. It goes beyond surface-level metrics to delve into the underlying factors impacting application performance. TrueSight's ability to pinpoint the root cause of performance problems enables faster troubleshooting and resolution, minimizing downtime and optimizing application performance.

BMC TrueSight Standout Features & Integrations 

Key features include a holistic, multi-domain visibility by collecting and correlating data from diverse sources, including applications, infrastructure, and user experience. This comprehensive view allows organizations to understand the entire application stack and identify performance issues across various layers and components. TrueSight also excels in automation with its intelligent automation capabilities. It leverages machine learning and artificial intelligence to automate routine tasks, such as event correlation, impact analysis, and remediation actions. 

Integrations include many Amazon and AWS products and services, all MIcrosoft Azure products, Google Virtual Machine, Google App Engine, Pivotal Cloud Foundry, Docker, Kubernetes, Kafka, Oracle Weblogic, SAP platforms, and other popular testing, monitoring, and database solutions. 

JMeter is a robust and versatile application performance management software widely used for load testing, performance testing, and stress testing applications. With its user-friendly interface and extensive set of features, JMeter allows users to simulate realistic user behavior, generate high loads on applications, and measure their performance under various scenarios. 

Why I Picked JMeter: JMeter supports multiple protocols such as HTTP, HTTPS, FTP, JDBC, SOAP, and more, making it compatible with a wide range of applications and systems. JMeter provides powerful reporting and analysis capabilities, enabling users to gather performance metrics, analyze response times, identify bottlenecks, and make informed decisions to optimize application performance. Its scalability, open-source nature, and community support make JMeter an excellent choice for organizations of all sizes seeking to effectively manage and enhance the performance of their applications.

Standout Features & Integrations 

Key features include its extensibility and distributed testing capabilities. JMeter provides a highly extensible framework that allows users to customize and extend its functionalities through plugins and scripting. JMeter also supports distributed testing, allowing testers to distribute the load across multiple machines and simulate high user loads more effectively, making it suitable for large-scale performance testing scenarios. 

Integrations include Maven, Gradle and Jenkins.

Datadog is a comprehensive application performance management software known for its powerful monitoring and observability capabilities. With its extensive range of integrations, customizable dashboards, and real-time analytics, Datadog enables users to monitor application performance, track key metrics, detect and resolve issues, and gain valuable insights for optimizing application performance and user experience.

Why I Picked Datadog: Datadog excels in application performance management software, particularly in the realm of collaboration tools, due to its comprehensive monitoring and analysis capabilities combined with robust collaboration features. Datadog provides a centralized platform where development, operations, and other teams can collaboratively monitor, analyze, and troubleshoot application performance in real-time. It offers a rich set of visualizations, dashboards, and alerts that enable teams to gain deep insights into their application's performance metrics and identify performance bottlenecks quickly. Moreover, Datadog's collaboration tools allow team members to share dashboards, collaborate on resolving issues, and even set up automated workflows. These features foster cross-functional collaboration and empower teams to work together efficiently, ensuring that application performance management becomes a collaborative effort.

Datadog Standout Features & Integrations 

Key features include its vast integration ecosystem, offering out-of-the-box integrations with over 600 technologies and platforms. This extensive coverage allows users to easily collect and correlate data from various sources, including infrastructure, applications, databases, and cloud services. Datadog also leverages advanced machine learning techniques to provide intelligent insights and anomaly detection. Its algorithms analyze historical data to identify abnormal patterns and deviations, enabling proactive identification of performance issues.

Integrations include 600+ out-of-the-box software solutions like Active Directory, Adobe Experience Manager, SAP BusinessObjects, SAP S/4HANA, several Amazon and AWS tools/services, Ansible, Apache, Workday, Microsoft Azure, BigPanda, Campfire, EverSQL, tons of Google software/tools, Jenkins, and hundreds more. 

Apache Benchmark, also known as ab, is a lightweight and command-line based application performance management software. It is specifically designed for quick and straightforward load testing, allowing users to send a high volume of concurrent requests to a web server and measure its performance and response times, making it a popular choice for simple performance testing scenarios.

Why I Picked Apache Benchmark: Apache Benchmark (ab) is a command-line tool developed by the Apache Software Foundation that is widely used for performance benchmarking of web servers and applications. It works well for application performance management software due to its simplicity and effectiveness in measuring the performance of a system under different loads. By simulating multiple concurrent requests, ab generates a significant amount of traffic and measures various performance metrics like requests per second, latency, and throughput. This allows developers and system administrators to evaluate the scalability and efficiency of their applications, identify bottlenecks, and make informed decisions for optimizing and fine-tuning their software to deliver optimal performance.

Apache Benchmark Standout Features & Integrations 

Key features include a wide array of customizable options, allowing users to tailor their benchmarking tests to specific requirements. Users can define the number of requests, concurrency levels, and even customize HTTP headers, enabling them to simulate real-world scenarios and fine-tune their performance tests to match their unique application environments. This flexibility makes Apache Benchmark a versatile tool that can adapt to a variety of performance benchmarking needs.

Integrations can be built from scratch using the Apache Benchmark open source framework.

Google Cloud Monitoring is a comprehensive application performance management software that provides robust monitoring and observability capabilities for applications running on the Google Cloud Platform. With its scalable architecture, real-time metrics, and powerful dashboards, Google Cloud Monitoring enables users to track performance, detect anomalies, and optimize application performance, ensuring reliable and efficient operations in the cloud environment.

Why I Picked Google Cloud Monitoring: Google Cloud Monitoring is an excellent application performance management software that excels in monitoring Google Cloud Platform (GCP) services and infrastructure. With deep integration into GCP, Google Cloud Monitoring provides comprehensive visibility into the performance and health of GCP resources, including virtual machines, databases, storage, networking, and more. It offers a wide range of pre-configured metrics and dashboards specifically designed for GCP services, enabling users to monitor key performance indicators and track service-level objectives. Google Cloud Monitoring provides real-time alerts, anomaly detection, and powerful data visualization, allowing users to proactively identify and respond to performance issues. Its seamless integration with other Google Cloud services, such as Stackdriver Logging and Error Reporting, further enhances the monitoring capabilities for GCP applications and infrastructure.

Google Cloud Monitoring Standout Features & Integrations 

Key features include a vast ecosystem of integrations with other Google Cloud services, including Stackdriver Logging, Error Reporting, and Trace, enabling seamless data correlation and analysis across various components of the application stack. Additionally, Google Cloud Monitoring leverages advanced machine learning algorithms to automatically detect anomalies, predict future trends, and provide intelligent insights into application performance. This powerful machine learning functionality enables proactive monitoring, efficient root cause analysis, and smart alerting.

Integrations include Apache Web Server, Apache ActiveMQ, Apache Airflow, Apache Cassandra, Apache CouchDB, MySQL, Redis, Kubernetes Engine, Active Directory Domain Services, Aerospike, and many others.

Microsoft Azure Application Insights is a powerful application performance management software designed for monitoring and analyzing the performance of applications hosted on the Azure platform. With its deep insights, automatic instrumentation, and integration with Azure services, Application Insights enables developers to identify performance bottlenecks, track user behavior, and gain valuable insights to optimize application performance and deliver exceptional user experiences.

Why I Picked Microsoft Azure Application Insights: Microsoft Azure Application Insights is a robust application performance management software that excels in providing end-to-end application monitoring capabilities. Application Insights offers deep visibility into the entire application stack, including the front-end, back-end, and dependencies. It collects and analyzes performance metrics, logs, and telemetry data from various sources, allowing users to track and monitor every aspect of their application's performance. With its powerful monitoring and diagnostics features, Application Insights enables real-time tracking of application health, response times, and availability. It also provides detailed insights into exceptions, dependencies, and performance bottlenecks, allowing developers and operations teams to proactively identify and address issues. 

Microsoft Azure Application Insights Standout Features & Integrations 

Key features include seamless integration with other Azure services, allowing users to leverage the full potential of the Azure ecosystem. This integration enables enhanced monitoring and diagnostics, as well as the ability to correlate application performance data with other Azure resources, such as virtual machines, databases, and containers. Application Insights also provides powerful analytics capabilities, leveraging machine learning algorithms to analyze vast amounts of telemetry data and provide actionable insights.

Integrations include AIMS AIOps, Alert Logic Log Manager, AppDynamics APM, Atlassian JIRA, BMC Helix, Botmetric, Circonus, CloudHealth, CloudMonix, Datadog, Dynatrace, Elastic, Grafana, InfluxData, LogicMonitor, LogRhythm, Logz.io, and hundreds of other options. Being a popular and well-known tool, most related software will connect in some way to Azure Application Insights.