Best Observability Tools for Netdata

Find and compare the best Observability tools for Netdata in 2025

Use the comparison tool below to compare the top Observability tools for Netdata on the market. You can filter results by user reviews, pricing, features, platform, region, support options, integrations, and more.

  • 1
    New Relic Reviews
    Top Pick
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    New Relic's enterprise-grade Observability solution offers an all-encompassing platform to gain profound insights into the functionality and dynamics of your software systems. Tailored for extensive operations, our integrated data platform consolidates telemetry information from your entire technological ecosystem, presenting robust full-stack analysis tools that provide in-depth understanding of system performance, interdependencies, and behavior. Featuring real-time monitoring, automated notifications, and customizable dashboards, New Relic empowers you to proactively detect and resolve issues, enhance performance, and ensure outstanding customer experiences. Streamline observability, boost operational efficiency, and foster innovation with New Relic's cutting-edge Observability offerings.
  • 2
    Dynatrace Reviews

    Dynatrace

    Dynatrace

    $11 per month
    3,220 Ratings
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    The Dynatrace software intelligence platform revolutionizes the way organizations operate by offering a unique combination of observability, automation, and intelligence all within a single framework. Say goodbye to cumbersome toolkits and embrace a unified platform that enhances automation across your dynamic multicloud environments while facilitating collaboration among various teams. This platform fosters synergy between business, development, and operations through a comprehensive array of tailored use cases centralized in one location. It enables you to effectively manage and integrate even the most intricate multicloud scenarios, boasting seamless compatibility with all leading cloud platforms and technologies. Gain an expansive understanding of your environment that encompasses metrics, logs, and traces, complemented by a detailed topological model that includes distributed tracing, code-level insights, entity relationships, and user experience data—all presented in context. By integrating Dynatrace’s open API into your current ecosystem, you can streamline automation across all aspects, from development and deployment to cloud operations and business workflows, ultimately leading to increased efficiency and innovation. This cohesive approach not only simplifies management but also drives measurable improvements in performance and responsiveness across the board.
  • 3
    GitLab Reviews
    Top Pick

    GitLab

    GitLab

    $29 per user per month
    14 Ratings
    GitLab is a complete DevOps platform. GitLab gives you a complete CI/CD toolchain right out of the box. One interface. One conversation. One permission model. GitLab is a complete DevOps platform, delivered in one application. It fundamentally changes the way Security, Development, and Ops teams collaborate. GitLab reduces development time and costs, reduces application vulnerabilities, and speeds up software delivery. It also increases developer productivity. Source code management allows for collaboration, sharing, and coordination across the entire software development team. To accelerate software delivery, track and merge branches, audit changes, and enable concurrent work. Code can be reviewed, discussed, shared knowledge, and identified defects among distributed teams through asynchronous review. Automate, track, and report code reviews.
  • 4
    Amazon CloudWatch Reviews
    Amazon CloudWatch serves as a comprehensive monitoring and observability tool designed specifically for DevOps professionals, software developers, site reliability engineers, and IT administrators. This service equips users with essential data and actionable insights necessary for overseeing applications, reacting to performance shifts across systems, enhancing resource efficiency, and gaining an integrated perspective on operational health. By gathering monitoring and operational information in the forms of logs, metrics, and events, CloudWatch delivers a cohesive view of AWS resources, applications, and services, including those deployed on-premises. Users can leverage CloudWatch to identify unusual patterns within their environments, establish alerts, visualize logs alongside metrics, automate responses, troubleshoot problems, and unearth insights that contribute to application stability. Additionally, CloudWatch alarms continuously monitor your specified metric values against established thresholds or those generated through machine learning models to effectively spot any anomalous activities. This functionality ensures that users can maintain optimal performance and reliability across their systems.
  • 5
    InfluxDB Reviews

    InfluxDB

    InfluxData

    $0
    InfluxDB is a purpose-built data platform designed to handle all time series data, from users, sensors, applications and infrastructure — seamlessly collecting, storing, visualizing, and turning insight into action. With a library of more than 250 open source Telegraf plugins, importing and monitoring data from any system is easy. InfluxDB empowers developers to build transformative IoT, monitoring and analytics services and applications. InfluxDB’s flexible architecture fits any implementation — whether in the cloud, at the edge or on-premises — and its versatility, accessibility and supporting tools (client libraries, APIs, etc.) make it easy for developers at any level to quickly build applications and services with time series data. Optimized for developer efficiency and productivity, the InfluxDB platform gives builders time to focus on the features and functionalities that give their internal projects value and their applications a competitive edge. To get started, InfluxData offers free training through InfluxDB University.
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    Prometheus Reviews

    Prometheus

    Prometheus

    Free
    Enhance your metrics and alerting capabilities using a top-tier open-source monitoring tool. Prometheus inherently organizes all data as time series, which consist of sequences of timestamped values associated with the same metric and a specific set of labeled dimensions. In addition to the stored time series, Prometheus has the capability to create temporary derived time series based on query outcomes. The tool features a powerful query language known as PromQL (Prometheus Query Language), allowing users to select and aggregate time series data in real time. The output from an expression can be displayed as a graph, viewed in tabular format through Prometheus’s expression browser, or accessed by external systems through the HTTP API. Configuration of Prometheus is achieved through a combination of command-line flags and a configuration file, where the flags are used to set immutable system parameters like storage locations and retention limits for both disk and memory. This dual method of configuration ensures a flexible and tailored monitoring setup that can adapt to various user needs. For those interested in exploring this robust tool, further details can be found at: https://sourceforge.net/projects/prometheus.mirror/
  • 7
    Cilium Reviews
    Cilium is an open-source tool designed to enhance, secure, and monitor network interactions among container workloads and cloud-native environments, leveraging the groundbreaking Kernel technology known as eBPF. Unlike traditional setups, Kubernetes does not inherently include a Load Balancing solution, which is often left to cloud providers or the networking teams in private cloud settings. By utilizing BGP, Cilium can manage incoming traffic effectively, while also using XDP and eBPF to optimize performance. These combined technologies deliver a powerful and secure load balancing solution. Operating at the kernel level, Cilium and eBPF allow for informed decisions regarding the connectivity of various workloads, whether they reside on the same node or across different clusters. Through the integration of eBPF and XDP, Cilium significantly enhances latency and performance, replacing the need for Kube-proxy altogether, which streamlines operations and improves resource usage. This not only simplifies the network architecture but also empowers developers to focus more on application development rather than infrastructure concerns.
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