Alternatives to OpenTracing logo

Alternatives to OpenTracing

Zipkin, Datadog, Jaeger, Fluentd, and OpenCensus are the most popular alternatives and competitors to OpenTracing.
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What is OpenTracing and what are its top alternatives?

OpenTracing is an open-source project that provides a vendor-neutral API and instrumentation for distributed tracing. It allows developers to instrument their code to capture and propagate traces across microservices. Key features of OpenTracing include support for multiple programming languages, integration with popular tracing systems like Jaeger and Zipkin, and the ability to create custom instrumentation. However, a limitation of OpenTracing is that it does not provide built-in capabilities for log correlation or metrics collection.

  1. Jaeger: Jaeger is a distributed tracing platform that is compatible with OpenTracing. Key features include high scalability, support for multiple storage backends, and a user-friendly web interface. Pros: seamless integration with OpenTracing, rich visualization capabilities. Cons: may require additional resources for large-scale deployments.
  2. Zipkin: Zipkin is another popular distributed tracing system that supports the OpenTracing API. Features include a simple and lightweight design, support for multiple storage backends, and integration with various programming languages. Pros: easy to deploy and use, active community support. Cons: not as scalable as some other tools.
  3. SkyWalking: Apache SkyWalking is an APM (application performance monitoring) tool that provides distributed tracing capabilities. Key features include support for multiple languages and frameworks, advanced visualization of traces, and alerting functionality. Pros: comprehensive monitoring solution, active development and community support. Cons: may have a learning curve for beginners.
  4. Instana: Instana is an APM platform that includes distributed tracing as part of its monitoring capabilities. Features include automatic distributed tracing setup, deep visibility into applications, and AI-powered analytics. Pros: easy setup and configuration, advanced monitoring and alerting features. Cons: may be expensive for small teams or startups.
  5. Datadog APM: Datadog APM is a performance monitoring tool that offers distributed tracing functionality. Key features include seamless integration with other Datadog services, customizable dashboards, and detailed performance metrics. Pros: robust monitoring features, extensive documentation. Cons: pricing may be a concern for some users.
  6. New Relic: New Relic is a popular APM and monitoring tool that includes distributed tracing capabilities. Features include end-to-end visibility into transactions, real-time performance monitoring, and anomaly detection. Pros: user-friendly interface, comprehensive monitoring solutions. Cons: pricing may be prohibitive for small teams or startups.
  7. Prometheus: Prometheus is an open-source monitoring and alerting system that can be used for distributed tracing. Key features include a multi-dimensional data model, powerful query language, and easy integration with other tools. Pros: scalable and flexible, active community support. Cons: may require additional setup and configuration compared to all-in-one APM solutions.
  8. Elastic APM: Elastic APM is part of the Elastic Stack and provides distributed tracing capabilities. Features include real-time performance monitoring, detailed transaction traces, and integration with other Elastic products. Pros: seamless integration with Elastic Stack, powerful search and analysis capabilities. Cons: may require some familiarity with Elastic products.
  9. Dynatrace: Dynatrace is an APM platform that offers distributed tracing functionality. Key features include AI-driven monitoring, automatic root cause analysis, and support for cloud-native technologies. Pros: advanced monitoring capabilities, automatic problem resolution. Cons: may be expensive for small teams or startups.
  10. OpenTelemetry: OpenTelemetry is a project that aims to provide a unified standard for observability by combining OpenTracing and OpenCensus. Key features include support for multiple programming languages, compatibility with various tracing systems, and flexibility in instrumentation. Pros: community-driven development, seamless transition from OpenTracing. Cons: still in active development, may have some compatibility issues with existing systems.

Top Alternatives to OpenTracing

  • Zipkin
    Zipkin

    It helps gather timing data needed to troubleshoot latency problems in service architectures. Features include both the collection and lookup of this data. ...

  • Datadog
    Datadog

    Datadog is the leading service for cloud-scale monitoring. It is used by IT, operations, and development teams who build and operate applications that run on dynamic or hybrid cloud infrastructure. Start monitoring in minutes with Datadog! ...

  • Jaeger
    Jaeger

    Jaeger, a Distributed Tracing System

  • Fluentd
    Fluentd

    Fluentd collects events from various data sources and writes them to files, RDBMS, NoSQL, IaaS, SaaS, Hadoop and so on. Fluentd helps you unify your logging infrastructure. ...

  • OpenCensus
    OpenCensus

    It is a set of libraries for various languages that allow you to collect application metrics and distributed traces, then transfer the data to a backend of your choice in real time. This data can be analyzed by developers and admins to understand the health of the application and debug problems. ...

  • Prometheus
    Prometheus

    Prometheus is a systems and service monitoring system. It collects metrics from configured targets at given intervals, evaluates rule expressions, displays the results, and can trigger alerts if some condition is observed to be true. ...

  • Brave
    Brave

    It is a fast, private and secure web browser for PC and mobile. It blocks ads and trackers. It prevents you from being tracked by sneaky advertisers, malware and pop-ups. ...

  • Splunk
    Splunk

    It provides the leading platform for Operational Intelligence. Customers use it to search, monitor, analyze and visualize machine data. ...

OpenTracing alternatives & related posts

Zipkin logo

Zipkin

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A distributed tracing system
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PROS OF ZIPKIN
  • 10
    Open Source
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    Datadog logo

    Datadog

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    Unify logs, metrics, and traces from across your distributed infrastructure.
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    PROS OF DATADOG
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      Monitoring for many apps (databases, web servers, etc)
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      Easy setup
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      Powerful ui
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      Powerful integrations
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      Great value
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      Great visualization
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      Events + metrics = clarity
    • 41
      Notifications
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      Custom metrics
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      Flexibility
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      Free & paid plans
    • 16
      Great customer support
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      Makes my life easier
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      Adapts automatically as i scale up
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      Easy setup and plugins
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      Super easy and powerful
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      AWS support
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      In-context collaboration
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      Rich in features
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      Docker support
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      Cost
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      Full visibility of applications
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      Monitor almost everything
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      Cute logo
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      Automation tools
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      Source control and bug tracking
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      Simple, powerful, great for infra
    • 4
      Easy to Analyze
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      Best than others
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      Best in the field
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      Expensive
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      Good for Startups
    • 3
      Free setup
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      APM
    CONS OF DATADOG
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      Expensive
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      No errors exception tracking
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    Robert Zuber

    Our primary source of monitoring and alerting is Datadog. We’ve got prebuilt dashboards for every scenario and integration with PagerDuty to manage routing any alerts. We’ve definitely scaled past the point where managing dashboards is easy, but we haven’t had time to invest in using features like Anomaly Detection. We’ve started using Honeycomb for some targeted debugging of complex production issues and we are liking what we’ve seen. We capture any unhandled exceptions with Rollbar and, if we realize one will keep happening, we quickly convert the metrics to point back to Datadog, to keep Rollbar as clean as possible.

    We use Segment to consolidate all of our trackers, the most important of which goes to Amplitude to analyze user patterns. However, if we need a more consolidated view, we push all of our data to our own data warehouse running PostgreSQL; this is available for analytics and dashboard creation through Looker.

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    Farzeem Diamond Jiwani
    Software Engineer at IVP · | 8 upvotes · 1.5M views

    Hey there! We are looking at Datadog, Dynatrace, AppDynamics, and New Relic as options for our web application monitoring.

    Current Environment: .NET Core Web app hosted on Microsoft IIS

    Future Environment: Web app will be hosted on Microsoft Azure

    Tech Stacks: IIS, RabbitMQ, Redis, Microsoft SQL Server

    Requirement: Infra Monitoring, APM, Real - User Monitoring (User activity monitoring i.e., time spent on a page, most active page, etc.), Service Tracing, Root Cause Analysis, and Centralized Log Management.

    Please advise on the above. Thanks!

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    Jaeger logo

    Jaeger

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    Distributed tracing system released as open source by Uber
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    PROS OF JAEGER
    • 7
      Open Source
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      Easy to install
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      Feature Rich UI
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      CNCF Project
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      Fluentd logo

      Fluentd

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      Unified logging layer
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      PROS OF FLUENTD
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        Open-source
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        Easy
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        Great for Kubernetes node container log forwarding
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        Lightweight
      CONS OF FLUENTD
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        OpenCensus logo

        OpenCensus

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        A single distribution of libraries that automatically collect traces and send them to any backend
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        PROS OF OPENCENSUS
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            Prometheus logo

            Prometheus

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            PROS OF PROMETHEUS
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              Flexible query language
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              Dimensional data model
            • 27
              Alerts
            • 23
              Active and responsive community
            • 22
              Extensive integrations
            • 19
              Easy to setup
            • 12
              Beautiful Model and Query language
            • 7
              Easy to extend
            • 6
              Nice
            • 3
              Written in Go
            • 2
              Good for experimentation
            • 1
              Easy for monitoring
            CONS OF PROMETHEUS
            • 12
              Just for metrics
            • 6
              Bad UI
            • 6
              Needs monitoring to access metrics endpoints
            • 4
              Not easy to configure and use
            • 3
              Supports only active agents
            • 2
              Written in Go
            • 2
              TLS is quite difficult to understand
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              Requires multiple applications and tools
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            Matt Menzenski
            Senior Software Engineering Manager at PayIt · | 16 upvotes · 1M views

            Grafana and Prometheus together, running on Kubernetes , is a powerful combination. These tools are cloud-native and offer a large community and easy integrations. At PayIt we're using exporting Java application metrics using a Dropwizard metrics exporter, and our Node.js services now use the prom-client npm library to serve metrics.

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            Conor Myhrvold
            Tech Brand Mgr, Office of CTO at Uber · | 15 upvotes · 5M views

            Why we spent several years building an open source, large-scale metrics alerting system, M3, built for Prometheus:

            By late 2014, all services, infrastructure, and servers at Uber emitted metrics to a Graphite stack that stored them using the Whisper file format in a sharded Carbon cluster. We used Grafana for dashboarding and Nagios for alerting, issuing Graphite threshold checks via source-controlled scripts. While this worked for a while, expanding the Carbon cluster required a manual resharding process and, due to lack of replication, any single node’s disk failure caused permanent loss of its associated metrics. In short, this solution was not able to meet our needs as the company continued to grow.

            To ensure the scalability of Uber’s metrics backend, we decided to build out a system that provided fault tolerant metrics ingestion, storage, and querying as a managed platform...

            https://eng.uber.com/m3/

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            Brave logo

            Brave

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              Built in tor browser
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            Splunk logo

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              Alert system based on custom query results
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              Splunk language supports string, date manip, math, etc
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              Dashboarding on any log contents
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              Custom log parsing as well as automatic parsing
            • 2
              Query engine supports joining, aggregation, stats, etc
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              Rich GUI for searching live logs
            • 2
              Ability to style search results into reports
            • 1
              Granular scheduling and time window support
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              Query any log as key-value pairs
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              Splunk query language rich so lots to learn

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