DATA INTEROPERABILITY STANDARDS FULL

This is also true for application code instrumentation, where New Relic, Dynatrace, Datadog and other vendors have built complex agents that automatically instrument popular application frameworks and libraries. For example, many monitoring tools have built integrations to instrument widely used databases like MySQL, including Prometheus MySQL Exporter, Datadog MySQL integration, and New Relic MySQL integration. The lack of instrumentation standards and interoperability has required every monitoring and observability tool to build their own collection of integrations to instrument the technologies developers use and need visibility into. Unfortunately, while there are lots of open-source tools, there hasnвЂ™t been alignment about specific instrumentation standards, such as StatsD, in the developer community and between vendors. ДЇor many years there have been a wide variety of open-source and proprietary instrumentation tools like StatsD, Nagios plugins, Prometheus exporters, Datadog integrations, or New Relic agents. This is accomplished through instrumentation. To that end, teams need to gather complete health and performance telemetry data (metrics, logs, and traces) from all those components. Visibility is essential to ensure that a system and its dependencies behave as expected and to identify and speed resolution of any issues that may arise.

DATA INTEROPERABILITY STANDARDS FULL

This shift has led to the rapid emergence of lots of new technologies, frameworks, and architectures and a new set of monitoring and observability tools that give engineers full visibility into the health and performance of these new systems. The last decade has brought a progressive transition from monolithic applications that run on static infrastructure to microservices that run on highly dynamic cloud-native infrastructure.

Data interoperability standards