6/10/2023 0 Comments Helios for oneJaeger OpenTelemetry: Getting Started with Jaeger and OpenTelemetery Additional advanced features include a trace comparison view and a system architecture view. Other views include a span list, trace statistics and a raw JSON mode. It’s also possible to get a basic trace graph view: For each trace, it provides a timeline view, similar to the ones provided by virtually any observability product: The Jaeger UI Jaeger Tracing CapabilitiesĪs can be seen in the screenshot above, Jaeger UI provides basic search and filtering capabilities – it’s possible to filter for spans by their service, operations, attributes (based on OpenTelemetry’s semantic conventions ), timeframe, and duration. Jaeger was created by Uber in 2015 and is now a graduated CNCF project. ![]() Users can query the data and view the results in the Jaeger UI. Today, it is part of the OpenTelemetry ecosystem and can receive data from OTel (either directly from the client-side or through the collector). Originally, it deployed an agent on every host, aggregated the data locally, and sent it to a collector component to be stored in a database. ![]() Jaeger is an open-source distributed tracing solution that’s become a go-to backend solution for OpenTelemetry. In this article, we’ll look at two of these solutions, compare them and see how they can be used together for troubleshooting your microservices applications. To leverage the data and its insights, you can export the data to external solutions, like APMs, open source Jaeger and Zipkin, Helios, and others. Developers can use the data collected from OTel to monitor and analyze application health and performance. OpenTelemetry (OTel), is an open source, CNCF (Cloud Native Computing Foundation) project that provides tools, APIs and SDKs for observability data collection (i.e, logs, metrics and traces) from cloud-native applications.
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