List of Application Performance Monitoring (APM) Tools

Integrations with popular incident management tools like Slack, PagerDuty, and OpsGenie enable quick response times to critical issues, enhancing overall operational efficiency.

The platform includes 40+ pre-configured observability policies and automatic service dependency discovery, which simplifies monitoring and reduces operational overhead.

SUSE Cloud Observability offers seamless integration with Rancher-managed Kubernetes clusters and OpenTelemetry, providing a unified view of system health with minimal setup.

dotMemory supports both .NET Framework and .NET Core, making it an essential tool for developers working across different .NET technologies and environments.

The intuitive interface makes it easy to use, even for those without extensive experience in memory profiling, accelerating the troubleshooting process.

With real-time memory profiling and detailed memory snapshots, it allows developers to pinpoint memory leaks and inefficiencies early in the development process, improving application performance.

dotMemory offers powerful memory profiling for a wide range of .NET applications, including desktop apps, web services, and custom .NET processes, making it versatile for various use cases.

Seamless integration with modern data ecosystems makes it a versatile solution that supports a wide range of data workflows, enhancing operational efficiency.

Leveraging machine learning and advanced analytics, Unravel ensures better resource utilization, performance optimization, and cost efficiency across the entire data pipeline.

The platform provides deep FinOps capabilities, allowing businesses to track, manage, and control the costs of both cloud and on-premises data workloads.

Unravel Data goes beyond monitoring by offering AI-driven insights, enabling data teams to proactively resolve issues and optimize performance in real time.

Netreo’s automation of routine monitoring tasks boosts operational efficiency, allowing IT teams to focus on more strategic, high-value initiatives.

Flexible deployment options, including secure on-premises and SaaS models, allow businesses to choose the best fit for their security needs and infrastructure.

With advanced monitoring, intelligent alerting, and deep analytics, Netreo helps IT teams prevent issues before they impact business operations, ensuring high availability and optimal performance.

Netreo offers unified, real-time visibility into an entire technology stack, allowing organizations to monitor hardware, networks, cloud services, and applications from a single platform.

The platform supports real-time monitoring, making it ideal for DevOps and Site Reliability Engineering teams to ensure continuous management and optimization of services.

ITOM offers advanced automation, streamlining workflows and reducing manual intervention, which increases operational efficiency and reduces costs.

The platform’s predictive capabilities allow businesses to proactively identify potential problems and anomalies before they impact operations, minimizing downtime.

ServiceNow ITOM enhances service reliability and quality by improving visibility across the entire IT infrastructure, ensuring better coordination and faster issue resolution.

The tool optimizes power consumption, allowing developers to balance performance with energy efficiency and avoid power- and thermal-related issues.

VTune offers both coarse-grained system-wide data and granular, source-code-level results, helping developers pinpoint performance bottlenecks with high precision.

It supports multiple programming languages, including C, C++, Fortran, Python, and Java, offering flexibility and catering to diverse development needs.

Intel VTune Profiler provides deep insights into CPU, GPU, and NPU performance, enabling precise optimization across a wide range of application types, including AI, HPC, and IoT.

The solution provides in-depth insights into both application and infrastructure performance, helping teams ensure consistent service delivery and optimal performance across distributed environments.

Goliath’s user-friendly interface simplifies performance issue resolution, making it accessible to IT professionals of all expertise levels, reducing downtime significantly.

The platform’s automated diagnostics and embedded intelligence enable quick identification and troubleshooting of performance bottlenecks, enhancing overall efficiency in virtualized environments.

Goliath Performance Monitoring offers real-time monitoring and proactive alerts, allowing IT teams to identify and resolve potential performance issues before they impact the end-user experience.

Google Cloud Monitoring includes automated alerting, which ensures that teams are notified of performance issues before they escalate. This proactive approach helps organizations respond quickly to incidents, minimizing downtime and maintaining optimal application performance.

Google Cloud Monitoring supports both hybrid and multi-cloud environments, allowing businesses to manage and monitor resources across diverse cloud platforms. This flexibility ensures that organizations can maintain a unified view of their entire infrastructure, even when using services beyond Google Cloud.

The platform offers advanced metrics and customizable dashboards that provide real-time insights into system performance. These visual representations help teams quickly diagnose issues, monitor trends, and make data-driven decisions to optimize resource utilization and application reliability.

Google Cloud Monitoring provides seamless monitoring across a wide array of Google Cloud resources, such as Compute Engine, Kubernetes Engine, and Cloud Functions. This deep integration ensures that businesses can monitor their entire cloud infrastructure from a single platform, making it easy to track and optimize performance.

By offering detailed diagnostics and actionable intelligence, Dashbird empowers teams to optimize their serverless applications. It helps identify areas for improvement, reducing inefficiencies, and ensuring applications run smoothly, even as they scale.

Dashbird excels at real-time error detection, providing teams with immediate insights into issues, performance bottlenecks, and incidents. This instant feedback helps developers quickly resolve problems and minimize downtime, improving the overall user experience and application reliability.

With end-to-end visibility across cloud resources like AWS Lambda, API Gateway, DynamoDB, and more, Dashbird provides deep insights into the entire serverless architecture. This comprehensive monitoring ensures that developers can track every function and service to optimize performance.

Dashbird offers agentless monitoring, which simplifies the setup process. Unlike traditional monitoring solutions that require intrusive agents, Dashbird seamlessly integrates with serverless frameworks, eliminating the need for manual instrumentation, allowing developers to focus on coding without worrying about complex configurations.

AppSignal’s user-friendly interface, combined with exceptional customer support, makes it easy for development teams to get started and resolve issues. Its simplicity and reliability make it an attractive option for teams of all sizes, from startups to large enterprises.

The platform includes key features like error tracking, host monitoring, anomaly detection, uptime monitoring, and check-ins for background tasks. These capabilities give teams deep visibility into their applications' performance, enabling quick identification and resolution of issues.

AppSignal provides real-time performance monitoring, helping developers quickly detect issues and resolve them before they affect users. This proactive approach to issue resolution ensures that applications run efficiently and reduces downtime.

AppSignal offers seamless integration with a wide range of technologies, including Ruby, Elixir, Node.js, Python, and front-end JavaScript applications. This makes it a versatile tool for development teams working across different tech stacks, ensuring comprehensive monitoring and performance optimization for various application types.

The multi-tenant, cloud-native approach accelerates cloud modernization efforts, allowing businesses to seamlessly integrate with both cloud and on-prem environments. This flexible integration ensures that organizations can effectively manage and monitor their multi-cloud or hybrid infrastructures.

SolarWinds Observability delivers actionable insights derived from data across the entire environment, enabling businesses to make informed decisions that enhance service reliability. The platform provides clear, relevant data, helping organizations resolve issues quickly and proactively.

The platform's built-in AIOps, powered by machine learning, helps reduce alert fatigue by automatically prioritizing critical issues. This ensures that IT teams focus on real problems, improving operational efficiency and reducing the likelihood of missed or ignored alerts.

SolarWinds Observability SaaS provides a comprehensive, unified view across cloud-native, on-premises, and hybrid environments. This consolidated approach eliminates the need for multiple monitoring tools, simplifying IT operations and ensuring that IT professionals can maintain optimal service levels across diverse technology stacks.

Developers can create custom traces to monitor specific tasks or user flows, offering fine-grained control over performance insights for enhanced reliability.

Automatic trace collection tracks critical app processes, allowing developers to quickly identify and resolve potential performance bottlenecks with ease.

The platform segments data by device type, app version, and geographic location, enabling targeted optimization efforts based on specific user segments and environments.

Firebase Performance Monitoring seamlessly integrates with mobile and web apps, collecting key performance data like app startup time, screen rendering, and page load times without the need for additional coding.

By optimizing application performance, scalability, and reliability, FusionReactor ensures a smooth user experience, driving improved operational efficiency and business success.

Seamless integration with OpenTelemetry provides end-to-end visibility, helping identify and address performance bottlenecks and errors across the entire stack.

The platform leverages advanced profiling, code-level diagnostics, and intelligent anomaly detection powered by OpsPilot GenAI, enabling proactive issue resolution and minimizing user-impacting issues.

FusionReactor Observability offers a user-friendly platform with intuitive dashboards, allowing easy access to key performance indicators like response times, throughput, and error rates.

Its flexibility supports deployment across diverse IT environments, including public cloud, on-premises, and IaaS, ensuring smooth management of complex, interconnected systems.

With machine learning-powered smart alerts, Instana enables faster troubleshooting, minimizing downtime and costly incidents in both cloud and on-prem environments.

The platform leverages AI and automation to turn context into actionable insights, driving performance improvements and eliminating manual DevOps tasks, boosting productivity.

IBM Instana offers comprehensive observability for cloud-native environments, providing deep insights across the entire application stack and helping teams identify issues proactively.

Turbo360 streamlines Azure operations, improving resource efficiency and ensuring businesses can maximize their cloud investments and minimize unnecessary costs.

The platform integrates FinOps practices, offering accurate and transparent cost tracking, which helps stakeholders maintain financial accountability while managing cloud resources.

With its holistic infrastructure monitoring, Turbo360 helps reduce incident resolution time by 80%, enabling faster issue detection and resolution for Azure resources. The platform integrates FinOps practices, offering accurate and transparent cost tracking,

Turbo360 offers advanced cost monitoring and optimization, delivering up to 30% annual Azure cost savings by providing granular analysis and actionable insights for businesses.

It empowers IT teams by providing operational excellence and deep insights into system performance, improving resilience and overall infrastructure efficiency.

meshIQ enhances application integration and scalability, supporting both modern and legacy solutions, making it an ideal tool for organizations with diverse infrastructure needs.

The platform offers deep insights into messaging, event processing, and data streaming, enabling IT professionals to optimize middleware performance efficiently across hybrid cloud and on-prem environments.

meshIQ provides unparalleled observability and management across various middleware platforms, from Kafka-based streaming to legacy systems like IBM MQ, ensuring a comprehensive view of performance.

With advanced analytics and flexible visualization tools, businesses can optimize performance, reduce downtime, and improve resilience, enhancing their digital infrastructure.

Catchpoint helps businesses proactively detect and resolve performance issues in the Internet Stack, ensuring seamless user experiences and minimizing disruptions.

The platform utilizes thousands of vantage points across networks, ISPs, and endpoints, providing unmatched observability and accurate, high-fidelity data.

Catchpoint’s Internet Performance Monitoring suite offers comprehensive tools like synthetics and real user monitoring (RUM), enabling businesses to track performance across various digital touchpoints.

It reduces the complexity of AI application development, allowing teams to focus more on innovation and less on troubleshooting.

Trusted by thousands of engineers, Keywords AI is a reliable solution for monitoring and enhancing AI applications, ensuring optimal performance.

The platform provides comprehensive observability and user analytics, enabling startups to track and optimize the performance of their AI models efficiently.

Keywords AI simplifies LLM integration with a single line of code, making it incredibly easy for developers to add over 200 LLMs to their applications.

Middleware’s proactive approach helps teams quickly ignite actionable steps, ensuring faster remediation and minimal downtime.

Integrated data and analytics provide deep insights, empowering teams to quickly identify and address potential issues.

The unified platform eliminates the need for legacy tools, streamlining workflows and simplifying problem-solving.

Middleware's cloud-native platform enables real-time analysis, diagnosis, and prediction of issues, making it ideal for modern tech stacks.