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This article is a code-based discussion of passing OpenTelemetry trace context across STOMP protocol pub/sub with a brokered websocket. This example uses Spring Boot for most components and leverages OpenTelemetry's APIs for manual instrumentation.
In this blog post, we will show you how to set up your Heroku app to use our buildpack. We will show off a sample app that is able to use the collector to report metrics, traces and profiling information to the Observability Cloud.
When I had to document how to get data in from Rust applications, I faced an unusually tough challenge. How could I create a snippet for a language I was utterly unfamiliar with and for which we lack a Splunk distribution? The examples in the official OpenTelemetry repository didn't work out of the box. The answer proved simpler than I expected.
A customer was looking for some guidance around adding custom attributes to spans in their Java monolith. To assist, I put together this example repo that shows five subtly different ways of adding manual instrumentation in Java. Maybe you can find it useful, too?
OpenTelemetry is often associated with modern microservices and cloud-native applications. What happens if we apply OpenTelemetry and modern observability techniques to something completely different? WordPress is the world's most popular weblog software. And it's also an almost 20 years old monolith. What happens if we use OpenTelemetry auto tracing and the Splunk Observability cloud?
In this example, we are going to use our former blog post, ingesting logs from a file and sending them to Splunk Enterprise. We are going to apply a twist to this example by creating three pipelines that read from three different files. Data coming from those three files will be associated with different source types, depending on their source.
Embark on the Great Resilience Quest, where you'll traverse the realms of Splunk to improve digital resilience. Diminish downtime, fix issues faster, and win prizes! Peep the deets and find updates here.