Best Network Management Software for OpenTelemetry

Compare the Top Network Management Software that integrates with OpenTelemetry as of October 2025

This a list of Network Management software that integrates with OpenTelemetry. Use the filters on the left to add additional filters for products that have integrations with OpenTelemetry. View the products that work with OpenTelemetry in the table below.

What is Network Management Software for OpenTelemetry?

Network management software is software used by organizations to monitor and control their computer networks. It collects data on network performance, identifies potential issues, and allows for remote management of devices. This software often includes features such as network mapping, traffic analysis, and security monitoring. It can be used to optimize network performance, troubleshoot problems, and reduce downtime. Many options are available on the market today from various vendors with varying levels of complexity and functionality. Compare and read user reviews of the best Network Management software for OpenTelemetry currently available using the table below. This list is updated regularly.

  • 1
    New Relic

    New Relic

    New Relic

    There are an estimated 25 million engineers in the world across dozens of distinct functions. As every company becomes a software company, engineers are using New Relic to gather real-time insights and trending data about the performance of their software so they can be more resilient and deliver exceptional customer experiences. Only New Relic provides an all-in-one platform that is built and sold as a unified experience. With New Relic, customers get access to a secure telemetry cloud for all metrics, events, logs, and traces; powerful full-stack analysis tools; and simple, transparent usage-based pricing with only 2 key metrics. New Relic has also curated one of the industry’s largest ecosystems of open source integrations, making it easy for every engineer to get started with observability and use New Relic alongside their other favorite applications.
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    Starting Price: Free
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  • 2
    Datadog

    Datadog

    Datadog

    Datadog is the monitoring, security and analytics platform for developers, IT operations teams, security engineers and business users in the cloud age. Our SaaS platform integrates and automates infrastructure monitoring, application performance monitoring and log management to provide unified, real-time observability of our customers' entire technology stack. Datadog is used by organizations of all sizes and across a wide range of industries to enable digital transformation and cloud migration, drive collaboration among development, operations, security and business teams, accelerate time to market for applications, reduce time to problem resolution, secure applications and infrastructure, understand user behavior and track key business metrics.
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    Starting Price: $15.00/host/month
  • 3
    Observe

    Observe

    Observe

    Observe – the AI-powered observability company – is reinventing how businesses detect anomalies, troubleshoot applications, and resolve incidents to deliver exceptional customer experiences. Only Observe eliminates silos of logs, metrics, and traces by storing all data in a single, cost-efficient data lake, analyzing all telemetry data using a single language, and providing access through a single, consistent, user interface. Observe’s AI-Powered Observability enables companies to resolve software incidents three times faster at one-third the cost. Customers such as Capital One, Dialpad AI, Top Golf and more trust Observe to turn their data into actionable insights.
    Starting Price: $0.35 Per GiB
  • 4
    SigNoz

    SigNoz

    SigNoz

    SigNoz is an open source Datadog or New Relic alternative. A single tool for all your observability needs, APM, logs, metrics, exceptions, alerts, and dashboards powered by a powerful query builder. You don’t need to manage multiple tools for traces, metrics, and logs. Get great out-of-the-box charts and a powerful query builder to dig deeper into your data. Using an open source standard frees you from vendor lock-in. Use auto-instrumentation libraries of OpenTelemetry to get started with little to no code change. OpenTelemetry is a one-stop solution for all your telemetry needs. A single standard for all telemetry signals means increased developer productivity and consistency across teams. Write queries on all telemetry signals. Run aggregates, and apply filters and formulas to get deeper insights from your data. SigNoz uses ClickHouse, a fast open source distributed columnar database. Ingestion and aggregations are lightning-fast.
    Starting Price: $199 per month
  • 5
    Elastic APM
    Get deep visibility into your cloud-native and distributed applications — from microservices to serverless architectures — and quickly identify and resolve root causes of issues. Seamlessly adopt APM to automatically identify anomalies, map service dependencies, and simplify investigations into outliers and abnormal behavior. Optimize your application code with extensive support for popular languages, OpenTelemetry, and distributed tracing. Identify performance issues with automated and curated visual representation of all dependencies, including cloud, messaging, data store, and third-party services and their performance data. Drill into anomalies, transaction details, and metrics for deeper analysis.
    Starting Price: $95 per month
  • 6
    OpenLIT

    OpenLIT

    OpenLIT

    OpenLIT is an OpenTelemetry-native application observability tool. It's designed to make the integration process of observability into AI projects with just a single line of code. Whether you're working with popular LLM libraries such as OpenAI and HuggingFace. OpenLIT's native support makes adding it to your projects feel effortless and intuitive. Analyze LLM and GPU performance, and costs to achieve maximum efficiency and scalability. Streams data to let you visualize your data and make quick decisions and modifications. Ensures that data is processed quickly without affecting the performance of your application. OpenLIT UI helps you explore LLM costs, token consumption, performance indicators, and user interactions in a straightforward interface. Connect to popular observability systems with ease, including Datadog and Grafana Cloud, to export data automatically. OpenLIT ensures your applications are monitored seamlessly.
    Starting Price: Free
  • 7
    Langtrace

    Langtrace

    Langtrace

    Langtrace is an open source observability tool that collects and analyzes traces and metrics to help you improve your LLM apps. Langtrace ensures the highest level of security. Our cloud platform is SOC 2 Type II certified, ensuring top-tier protection for your data. Supports popular LLMs, frameworks, and vector databases. Langtrace can be self-hosted and supports OpenTelemetry standard traces, which can be ingested by any observability tool of your choice, resulting in no vendor lock-in. Get visibility and insights into your entire ML pipeline, whether it is a RAG or a fine-tuned model with traces and logs that cut across the framework, vectorDB, and LLM requests. Annotate and create golden datasets with traced LLM interactions, and use them to continuously test and enhance your AI applications. Langtrace includes built-in heuristic, statistical, and model-based evaluations to support this process.
    Starting Price: Free
  • 8
    Aspecto

    Aspecto

    Aspecto

    Troubleshoot performance bottlenecks and errors within your microservices. Correlate root causes across traces, logs, and metrics. Cut your OpenTelemetry traces cost with Aspecto built-in remote sampling. How OTel data is visualized impacts your troubleshooting abilities. Go from a high-level overview to the very last detail with best-in-class visualization. Correlate logs and traces. From logs to their matched traces and back with one click. Never lose context and resolve issues faster. Use filters, free-text search, and groups to search your trace data and quickly pinpoint where in your system the problem is occurring. Cut your costs by sampling only the data you need. Sample traces based on languages, libraries, routes, and errors. Set data privacy rules to hide sensitive fields within trace data, specific routes, or anywhere else. Connect your day-to-day tools with your workflow. Logs, error monitoring, external events API, and more.
    Starting Price: $40 per month
  • 9
    KloudMate

    KloudMate

    KloudMate

    Squash latencies, detect bottlenecks, and debug errors. Join a rapidly expanding community of businesses from around the world, that are achieving 20X value and ROI by adopting KloudMate, compared to any other observability platform. Quickly monitor crucial metrics, and dependencies, and detect anomalies through alarms and issue tracking. Instantly locate ‘break-points’ in your application development lifecycle, to proactively fix issues. View service maps for every component in your application, and uncover intricate interconnections and dependencies. Trace every request and operation, providing detailed visibility into execution paths and performance metrics. Whether it's multi-cloud, hybrid, or private architecture, access unified Infrastructure monitoring capabilities to monitor metrics and gather insights. Supercharge debugging speed and precision with a complete system view. Identify and resolve issues faster.
    Starting Price: $60 per month
  • 10
    Arize Phoenix
    Phoenix is an open-source observability library designed for experimentation, evaluation, and troubleshooting. It allows AI engineers and data scientists to quickly visualize their data, evaluate performance, track down issues, and export data to improve. Phoenix is built by Arize AI, the company behind the industry-leading AI observability platform, and a set of core contributors. Phoenix works with OpenTelemetry and OpenInference instrumentation. The main Phoenix package is arize-phoenix. We offer several helper packages for specific use cases. Our semantic layer is to add LLM telemetry to OpenTelemetry. Automatically instrumenting popular packages. Phoenix's open-source library supports tracing for AI applications, via manual instrumentation or through integrations with LlamaIndex, Langchain, OpenAI, and others. LLM tracing records the paths taken by requests as they propagate through multiple steps or components of an LLM application.
    Starting Price: Free
  • 11
    Logfire

    Logfire

    Pydantic

    Pydantic Logfire is an observability platform designed to simplify monitoring for Python applications by transforming logs into actionable insights. It provides performance insights, tracing, and visibility into application behavior, including request headers, body, and the full trace of execution. Pydantic Logfire integrates with popular libraries and is built on top of OpenTelemetry, making it easier to use while retaining the flexibility of OpenTelemetry's features. Developers can instrument their apps with structured data, and query-ready Python objects, and gain real-time insights through visualizations, dashboards, and alerts. Logfire also supports manual tracing, context logging, and exception capturing, providing a modern logging interface. It is tailored for developers seeking a streamlined, effective observability tool with out-of-the-box integrations and ease of use.
    Starting Price: $2 per month
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    Uptrace

    Uptrace

    Uptrace

    Uptrace is an OpenTelemetry-based observability platform that helps you monitor, understand, and optimize complex distributed systems. Monitor your entire application stack on one compact and informative dashboard. You get a quick overview for all your services, hosts, and systems. Distributed tracing allows you to see how a request progresses through different services and components, the timing of each operation, any logs and errors as they occur. Metrics allow you to quickly and efficiently measure, visualize, and monitor various operations using percentiles, heatmaps, and histograms. Recover from incidents faster by receiving a notification when your app is down or a performance anomaly is detected. You can monitor everything using the same query language: spans, logs, errors, and metrics.
    Starting Price: $100 per month
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    Small Hours

    Small Hours

    Small Hours

    Small Hours is an AI-powered observability platform that helps root cause server exceptions, analyze the impact, and triage to the right person or team. Use Markdown or your existing runbook to guide our assistant in debugging issues. We support OpenTelemetry for seamless integration with any stack. Hook into existing alarms and identify critical issues. Connect your codebases and runbooks as context and instructions. Your code and data are secure and never stored. Intelligently triage issues and generate pull requests. Optimized for enterprise velocity and scale. 24/7 automated root cause analysis, minimize downtime, and maximize efficiency.
  • 14
    Apache SkyWalking
    Application performance monitor tool for distributed systems, specially designed for microservices, cloud-native and container-based (Kubernetes) architectures. 100+ billion telemetry data could be collected and analyzed from one SkyWalking cluster. Support log formatting, extract metrics, and various sampling policies through script pipeline in high performance. Support service-centric, deployment-centric, and API-centric alarm rule setting. Support forwarding alarms and all telemetry data to 3rd party. Metrics, traces, and logs from mature ecosystems are supported, e.g. Zipkin, OpenTelemetry, Prometheus, Zabbix, Fluentd.
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    Riverbed APM
    Simplified high-definition APM visibility leveraging real user monitoring, synthetic monitoring, and OpenTelemetry, that is scalable, easy to use and deploy, and unifies insights across end users, applications, networks, and the cloud-native ecosystem. Microservices deployed in containers across dynamic cloud infrastructure have created a transient, distributed environment at a massive scale. The old ways of scaling APM, sampled transactions, incomplete traces, and aggregate metrics, are no longer working, and legacy APM tools fail to diagnose why crucial business applications are still slow or stalling. The Riverbed platform delivers unified visibility across the modern application ecosystem, is easy to deploy and manage, and results in faster troubleshooting for even the toughest performance problems. Riverbed APM is fully adapted to the cloud-native ecosystem delivering comprehensive monitoring and observability for transactions running on modern cloud and app infrastructure.
  • 16
    Broadcom WatchTower Platform
    Enhancing business performance by simplifying the identification and resolution of high-priority incidents. The WatchTower Platform is an observability solution that simplifies incident resolution in mainframe environments by integrating and correlating events, data flows, and metrics across IT silos. It offers a unified, user-friendly experience for operations teams to streamline workflows. Built on familiar AIOps solutions, WatchTower detects potential issues early, facilitating proactive avoidance. It also uses OpenTelemetry to stream mainframe data and insights to observability tools, enabling enterprise SREs to identify bottlenecks and enhance operational efficiency. WatchTower augments alerts with pertinent context, eliminating the need for multiple tool logins to collect critical information. WatchTower workflows expedite problem identification, investigation, and incident resolution, and simplify problem handover and escalation.
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