Operations | Monitoring | ITSM | DevOps | Cloud

In the digital age, the speed and performance of apps and websites have a huge impact on the customer experience. To ensure a high level of quality, Application Performance Monitoring (APM) refers to the process of tracking the performance and availability of software systems. Let’s look at what Application Performance Monitoring is, how AI and machine learning are being applied to stay ahead of the competition, and several real-world use cases.

For me, it’s been 20 years since eG entered the US marketplace-at that time, I was one of their first customers and have remained close to them ever since. For a company to survive two decades in an unbelievably complex and competitive performance monitoring landscape is no small feat, and I believe we are still a ‘gem’ in an often confused and fragmented marketplace.

Enhancing digital performance has become a major priority for organizations today. Limited in-person interactions have forced people to depend on applications for their day-to-day needs. This is why an optimal digital experience has become synonymous with an organization’s ability to thrive. At ManageEngine, we are constantly focused on evolving and adapting to shifting technology trends.

It’s no secret that Jaeger and OpenTelemetry are known and loved by the open source community — and for good reason. As part of the Cloud Native Computing Foundation (CNCF), they offer one the most popular open source distributed tracing solutions out there as well as standardization for all telemetry data types.

In a recent post we showed you how to get started with the free and open tier of Elastic Observability. Today we'll walk through what you need to do to expand your deployment so you can start gathering metrics from application performance monitoring (APM), or "tracing" data in your observability cluster, for free.