Instana announced the availability of monitoring and tracing support for NGINX and Envoy Application Proxies.
With the current release of Instana’s APM service, Developers and DevOps get performance visibility and individual traces for every transaction from the browser through every service and down to the proxy layer. All this new data is captured automatically and integrated with the rest of Instana’s sensor and tracing technologies.
“While Application Proxies are an important part of creating on-demand scalability for microservice applications, they create a performance visibility gap since they operate as black boxes,” said Mirko Novakovic, Instana co-founder and CEO. “Instana’s ability to trace application requests through these foundation systems helps improve overall application quality and provides the most comprehensive application performance visibility in the business.”
Instana’s NGINX and Envoy monitoring and tracing capabilities include the ability to tie performance metrics and tracing through proxy servers to the end-to-end application traces captured by Instana’s AutoTrace technology. By tracing across the proxies, the front end user traces are followed through to the back end microservice requests without having to add any custom tracing code. Instana becomes the only APM solution available that can do this automatically.
“As the technology and architectures underpinning applications continue to evolve, monitoring solutions must keep up with those changes,” said Peter Abrams, Instana Co-founder and COO. “Instana’s ability to monitor performance and trace requests through NGINX and Envoy is indicative of the company’s commitment to provide complete coverage of microservice applications.”
Instana’s automatic application monitoring solution discovers application infrastructure and service components, deploys monitoring sensors for the application’s technology stack, traces all application requests – without requiring any human configuration or even application restarts. The solution detects changes in the application environment in real-time, adjusting its own models and visualizing the changes and impacts to performance in seconds.
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