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Authors: Pavol Loffay, Jonah Kowall
2023-04-19

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Jaeger is an open-source distributed tracing system that helps in monitoring and troubleshooting microservices-based distributed systems.
  • Jaeger is an open-source distributed tracing system that helps in monitoring and troubleshooting microservices-based distributed systems
  • Jaeger supports OpenTelemetry line protocol, Adaptive sampling, and flame graph views in the UI
  • Jaeger is working on supporting ClickHouse as a native data store and replacing the Jaeger collector with OpenTelemetry
Authors: Vinit Samel, Nagaraja Tantry
2022-10-27

While there was considerable Observability coverage across Intuit’s backend services, detecting, quantifying and isolating customer impact had been a challenge. Oftentimes, service degradation was detected but teams were unable to quickly assess customer impact and map issues back to end user experience. Over the past year, Intuit leveraged OpenTelemetry to build a new capability called ‘Failed Customer Interactions (FCIs)’ that automatically detects, quantifies and isolates customer impact. The team built a simple to use abstraction that reduces the complexity of distributed tracing while leveraging its benefits. We will cover how the RUM-FCI capability powered by OpenTelemetry can not only reduce the time to detect incidents, but also isolate root cause at speed, with an explicit focus on customer impact. With this solution Intuit established a blueprint to reduce its MTTD from over 30 minutes to less than 3 minutes.
Authors: Joe Elliott, Jonah Kowall
2022-10-26

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The presentation discusses the introduction of new signals, metrics, in addition to traces in Jaeger, a distributed tracing system, to understand performance and service monitoring. The auto-instrumentation feature in .NET eliminates the need for code changes to instrument the application.
  • Jaeger is a distributed tracing system that helps debug and understand transactions
  • Metrics are introduced as new signals in addition to traces to understand performance and service monitoring
  • The span map metrics processor is used to derive metrics from traces and generate metrics from these traces
  • Metrics can be visualized in Grafana and used in the Jaeger UI
  • Auto-instrumentation feature in .NET eliminates the need for code changes to instrument the application
Authors: Pavol Loffay, Jonah Kowall
2022-05-18

In this session, we will start with an introduction to the Jaeger distributed tracing project and the basics of distributed tracing. For the deeper dive, we will discuss the future of Jaeger and its relation to OpenTelemetry. We will cover how OpenTelemetry and Jaeger work together to unlock new use cases for operational monitoring using the new monitoring tab, which adds metrics capabilities to Jaeger UI. We will also take a closer look at the Jaeger Kubernetes operator and discuss deployment strategies. Jaeger is the most popular open-source distributed tracing backend. We are always seeking new collaborators, contributors, and users. We need your help! Whether your goal is to get acquainted with Jaeger and distributed tracing or to keep abreast with the latest and greatest, please join us!Click here to view captioning/translation in the MeetingPlay platform!
Authors: Jonah Kowall
2021-10-15

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The conference presentation covers both introductory and deep dive material for the Jaeger distributed tracing backend, including the Jaeger operator and metrics work. The presentation emphasizes the importance of instrumenting code for meaningful traces and the challenges of service meshes.
  • Jaeger is a popular open source distributed tracing backend that requires code instrumentation for meaningful traces
  • The Jaeger operator is a cool piece of technology that is part of the project
  • Metrics work has been going on in Jaeger
  • Service meshes present challenges for distributed tracing
  • The speaker's company is a SAS observability company that focuses on an open source-based platform that includes Jaeger
Authors: Morgan McLean, Jaana Dogan
2021-10-14

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OpenTelemetry provides correlations between different types of data that can be used to improve service operations and responses to outages.
  • OpenTelemetry captures distributed traces, metrics, logs, and resource metadata
  • Correlating this information is crucial for understanding failures in highly distributed systems
  • OpenTelemetry allows for correlations between language runtime traces and network events
  • Correlations can provide general production insights and improve development velocity