Forms of application performance monitoring

Application performance monitoring forms encompass various APM monitoring types, including infrastructure, network, database, log, container, cloud, synthetic, and end-user monitoring. Many companies employ multiple monitoring tools simultaneously, particularly when dealing with legacy applications and adhering to familiar tools.

However, this approach often leads to issues. Adopting a single APM solution that provides full-stack observability is more effective, simplifying monitoring tasks and enhancing their reliability.

With the expansion of application infrastructures to cover on-premises and multi-cloud environments, organizations recognize the need for a comprehensive monitoring approach to understand the sources of issues, regardless of where they arise.

Full-stack monitoring and using check service status tools enable you to track the health of your entire infrastructure, encompassing application performance and end-user experience. This comprehensive view encompasses all components and their interdependencies, allowing you to obtain answers to your questions quickly.

Why cloud-native applications make APM challenging

While APM is known to be beneficial, it has become more difficult to implement due to the increasing popularity of cloud-native applications. These applications are composed of multiple microservices that constantly start and stop, generating a significant amount of telemetry data. This abundance of data makes it challenging to filter and identify important events within the application infrastructure.

Businessman analysing app data with APM tools

Cloud-native applications generate various types of data, including telemetry data that differs from the data produced by databases or virtual machines. Despite this, businesses still need to standardize and centrally manage all the data, even though it poses challenges due to its high volume and the faster rate at which microservices produce it compared to traditional monolithic applications.

As a result, applying traditional APM in a cloud-native application environment has become more complex. However, it’s still extremely useful for a variety of tasks. For example, this approach can help you easily and conveniently check status and other platform metrics if you need to.

In conclusion, application performance monitoring is essential for businesses to identify and resolve issues quickly.

Traditional APM approaches need to be revised due to the complexity of cloud-native applications, which generate large amounts of data faster than traditional monolithic applications. It’s important to adopt a single comprehensive solution that provides all the necessary features for effective monitoring to ensure that organizations have full-stack observability of their entire infrastructure, regardless of where an issue may arise.

With this approach in place, companies can gain more control over their applications and be better equipped to troubleshoot any problems they encounter.