 
  Best Application Performance Monitoring Solutions
Users and customers are an impatient lot. It wasn’t so long ago that it was acceptable to wait for a letter to arrive to hear news about something. Now we want it all now. It’s the same with computing. As devices and network connections have improved, so too have user expectations. They don’t want to […]
Users and customers are an impatient lot. It wasn’t so long ago that it was acceptable to wait for a letter to arrive to hear news about something. Now we want it all now. It’s the same with computing. As devices and network connections have improved, so too have user expectations. They don’t want to wait a millisecond for an app to open or a web page to appear. And that’s where application performance management (APM) comes in.
APM refers to the management of the performance of software as a means of ensuring that the expected level of service is being provided. APM takes advantage of a variety of performance metrics such as throughput, IO, and various user experience parameters. The goal is to pinpoint performance issues before users notice that anything is wrong. IT can then fix the issue before user calls inundate the Help Desk. APM software makes it possible for IT to observe application behavior, understand infrastructure dependencies, and correlate this with the user experience and compare to key performance indicators (KPIs).
Also read: The Importance of Application Performance Management (APM) for Cloud-based Networks
The core capabilities of APM tools vary from vendor to vendor. They include all or most of the following:
APM can handle several critical functions, including:
Also read: How Data Centers Must Evolve in the Cloud First Era
Those evaluating APM software should consider the following:
 The Aternity Digital Experience Management platform provides actionable user experience insights at every device and app for customers and employees. Aternity takes a scalable big data approach to monitoring cloud-native applications that delivers visibility across the application ecosystem. it is easy to deploy and manage and results in faster troubleshooting of performance problems.
The Aternity Digital Experience Management platform provides actionable user experience insights at every device and app for customers and employees. Aternity takes a scalable big data approach to monitoring cloud-native applications that delivers visibility across the application ecosystem. it is easy to deploy and manage and results in faster troubleshooting of performance problems.
Key Differentiators:
 AppDynamics APM software aims to simplify the management of complex applications by delivering traceability and bridging APM and business product usage. It provides full-stack observability with business context, allows users to monitor the performance of the entire IT stack, and view the performance through the lens of the business. It is easy to implement, enabling IT to prioritize the most critical issues before they impact customers.
AppDynamics APM software aims to simplify the management of complex applications by delivering traceability and bridging APM and business product usage. It provides full-stack observability with business context, allows users to monitor the performance of the entire IT stack, and view the performance through the lens of the business. It is easy to implement, enabling IT to prioritize the most critical issues before they impact customers. 
Key Differentiators:
 Elastic got into the APM business via its Elasticsearch application for data analytics. Most users tend to expand from that application by adding its APM platform to view where applications are spending time, quickly fix issues, and test code. Elastic’s scalable native database offering provides the ability to store and query against significant quantities of data. This scalability allows Elastic the ability to work across a wide range of environments and organization sizes.
Elastic got into the APM business via its Elasticsearch application for data analytics. Most users tend to expand from that application by adding its APM platform to view where applications are spending time, quickly fix issues, and test code. Elastic’s scalable native database offering provides the ability to store and query against significant quantities of data. This scalability allows Elastic the ability to work across a wide range of environments and organization sizes.
Key Differentiators:
 Dynatrace provides software intelligence to simplify cloud complexity and accelerate digital transformation. With automatic and intelligent observability at the core of its platform, it delivers answers about the performance and security of applications, microservices, the underlying infrastructure, as well as the experience of users.
Dynatrace provides software intelligence to simplify cloud complexity and accelerate digital transformation. With automatic and intelligent observability at the core of its platform, it delivers answers about the performance and security of applications, microservices, the underlying infrastructure, as well as the experience of users.  
Key Differentiators:
 Microsoft Azure Monitor benefits greatly from the vast universe that is the Microsoft Azure cloud. It incorporates Application Insights and is delivered via the cloud. As more customers adopt commercial off-the-shelf (COTS) and SaaS applications, Microsoft Azure Monitor plans to continue to rapidly add support for these additional application environments. A major strength, then, is its breadth of integration.
Microsoft Azure Monitor benefits greatly from the vast universe that is the Microsoft Azure cloud. It incorporates Application Insights and is delivered via the cloud. As more customers adopt commercial off-the-shelf (COTS) and SaaS applications, Microsoft Azure Monitor plans to continue to rapidly add support for these additional application environments. A major strength, then, is its breadth of integration. 
Key Differentiators:
 New Relic APM helps software teams detect anomalies, discover root causes, and optimize performance. Whether the architecture is microservices or monoliths, containers or VMs, cloud or data center, APM can deploy, monitor, and scale services. It offers knowledge about what is happening and why, regardless of the system. It gathers current and historical data about memory usage, CPU utilization, database query performance, web browser rendering performance, app availability, error analysis, external services, and other metrics. With this data, it is possible to decipher which programs need to be advanced, edited, or cut altogether.
New Relic APM helps software teams detect anomalies, discover root causes, and optimize performance. Whether the architecture is microservices or monoliths, containers or VMs, cloud or data center, APM can deploy, monitor, and scale services. It offers knowledge about what is happening and why, regardless of the system. It gathers current and historical data about memory usage, CPU utilization, database query performance, web browser rendering performance, app availability, error analysis, external services, and other metrics. With this data, it is possible to decipher which programs need to be advanced, edited, or cut altogether. 
Key Differentiators:
 Splunk is best known for its IT service management, IT operations management products as well as its ability to integrate data streams from a huge number of sources. Splunk’s APM products deliver service through various products aggregated within the Splunk Observability Suite. It can analyze, ingest, and store data for later use, as well as detect issues impacting customers.
Splunk is best known for its IT service management, IT operations management products as well as its ability to integrate data streams from a huge number of sources. Splunk’s APM products deliver service through various products aggregated within the Splunk Observability Suite. It can analyze, ingest, and store data for later use, as well as detect issues impacting customers.
Key Differentiators:
 Datadog Application APM provides end-to-end distributed tracing from front-end devices to databases with no need for sampling. By correlating distributed traces between front-end and back-end data, it enables IT to monitor service dependencies, reduce latency, and eliminate errors.
Datadog Application APM provides end-to-end distributed tracing from front-end devices to databases with no need for sampling. By correlating distributed traces between front-end and back-end data, it enables IT to monitor service dependencies, reduce latency, and eliminate errors.
Key Differentiators:
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