Zipkin

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This is a distributed tracing system that collects timing data to diagnose latency, identify bottlenecks, and troubleshoot performance problems across service-based architectures. It provides end-to-end trace collection and lookup, trace ID correlation for log linking, and query capabilities by service, operation, tags, or duration, includes summarized metrics such as time spent in each component and failure rates, and presents a dependency map showing how requests flow through applications, with instrumented code reporting data over common transports to a scalable storage backend for search, analysis, and observability by developers, site reliability engineers, and operations teams.

Zipkin finnes i Website Monitoring, Uptime & Performance kategorier.

De mest lignende produktene til Zipkin er:

Nimbata Forfremmet → Hypertrace → ServicePilot → Dash0 → Uptrace →

Skjermbilder

Detaljer

Zipkin Hovedfunksjoner

• Data Lookup
  You can look up trace data using a trace ID or by searching for service names, operation names, tags, and how long things took.
• Data Storage
  The trace data can be stored in memory or saved in a backend system like Apache Cassandra or Elasticsearch.
• Error Summary
  Zipkin shows important information like how much time was spent in each service and if any operations failed.
• Data Reporting
  You can send data to Zipkin using methods like HTTP or Kafka, and there are other options too.
• Data Collection
  It collects timing data that is needed to solve problems with slow services.
• Instrumentation
  Applications must be set up to send trace data to Zipkin, usually by configuring a tracer or library.
• Dependency Diagram
  The user interface shows a diagram that helps you see how requests move through different applications.
• Distributed Tracing
  Zipkin is a system that helps track the timing of requests in services to find delays.

Zipkin fordeler

• dependency diagram
  The diagram shows how requests move through applications, helping to spot issues and outdated services.
• data storage options
  You can choose how to store data, either in memory or with a backend like Cassandra, which fits different needs.
• flexible data reporting
  Zipkin can collect data in various ways, making it easy to integrate with different systems.
• quick access to trace data
  If you have a trace ID, you can quickly find specific information, saving time.
• querying based on attributes
  You can search for data using different details like service name or operation, which helps narrow down problems.
• summary of service performance
  Zipkin shows how much time is spent in each service and if there are any errors, helping to understand performance better.
• troubleshooting latency problems
  Zipkin helps find out why services are slow, making it easier to fix issues.

Hvem bør bruke Zipkin?

• developers
  Developers can use Zipkin to find and fix slow parts of their applications easily.
• data analysts
  Data analysts can use Zipkin to gather important timing data and analyze service performance.
• project managers
  Project managers can understand how different services work together and identify problems in the system.
• system administrators
  System administrators can monitor service performance and troubleshoot issues quickly with Zipkin's data.
• technical support teams
  Technical support teams can use Zipkin to trace errors and provide better help to users.

Merker

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Zipkin-alternativer

Nimbata Forfremmet

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Hypertrace

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ServicePilot

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Dash0

This solution provides comprehensive observability across infrastructure, app...

Uptrace

This observability platform provides comprehensive monitoring of distributed ...

Teknologier brukt

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