Compare the Top Observability Tools for Linux as of November 2025 - Page 2

  • 1
    meshIQ

    meshIQ

    meshIQ

    Middleware Observability & Management Software for Messaging, Event Processing, and Streaming Across Hybrid Cloud (MESH). - Complete observability and monitoring of Integration MESH with 360° Situational Awareness® - Securely manage, and automate configuration, administration, and deployment - Track, trace, and analyze transactions, messages and flows - Collect, monitor, and benchmark MESH performance meshIQ delivers granular access controls to manage configurations across the MESH to reduce downtime and quick recovery from outages. Provides the ability to find, browse, track, and trace messages to detect bottlenecks and speeding up root-cause analysis. Unlocks the integration blackbox to deliver visibility across the MESH infrastructure to visualize, analyze, report, and predict. Delivers the ability to trigger automated actions based on pre-defined criteria or intelligent actions determined by AI/ML.
  • 2
    Tanzu Observability
    Tanzu Observability by Broadcom is a high-performance observability platform designed to monitor, analyze, and optimize cloud-native applications and infrastructure. It provides real-time visibility into the health, performance, and operations of complex applications by collecting and analyzing metrics, traces, and logs. Tanzu Observability leverages advanced AI and machine learning capabilities to detect anomalies and provide actionable insights, helping businesses proactively manage and optimize their digital environments. The platform’s scalable architecture supports large-scale deployments and offers deep insights into application performance, enabling faster troubleshooting and enhanced decision-making.
  • 3
    Cmd

    Cmd

    Cmd

    A powerful yet lightweight security platform that provides insightful observability, proactive controls, threat detection and response for your Linux infrastructure in the cloud or datacenter. Your cloud infrastructure is a massive multi-user environment. Don’t protect it with security solutions originally built for endpoints. Think beyond logging and analytics solutions that lack the necessary context and workflows for true infrastructure security. Cmd’s infrastructure detection and response platform is optimized for the needs of today’s agile security teams. View system activity in real time or search through retained data, aided by rich filters and triggers. Leverage our eBPF sensors, contextual data model and intuitive workflows to gain insight into user activity, running processes and access to sensitive resources. No advanced degree in Linux administration required. Create guardrails and controls around sensitive actions to complement traditional access management.
  • 4
    Parca

    Parca

    Parca

    Get a full picture of how your app performs in production. Never miss the important data with a continuous profiling. You never know at which point in time you are going to need profiling data, so always collect it at low overhead. Many organizations have 20-30% of resources wasted in easily optimized code paths. The Parca Agent aims to lower the bar of starting to profile by requiring zero-instrumentation for the whole infrastructure. Deploy in your infrastructure and get started! Using profiling data collected over time, Parca can (with confidence and statistical significance) determine hot paths to optimize. Additionally, it can show differences between any query, such as comparing versions of software or any other dimension. Profiling data provides unique insight and depth into what code a process executed over time. Situations, traditionally difficult to troubleshoot, memory leaks, but also momentary spikes in CPU or I/O causing unexpected behavior can be easily understood.
  • 5
    Fluent Bit

    Fluent Bit

    Fluent Bit

    Fluent Bit can read from local files and network devices, and can scrape metrics in the Prometheus format from your server. All events are automatically tagged to determine filtering, routing, parsing, modification and output rules. Built-in reliability means if you hit a network or server outage you will be able to resume from where you left off without data loss. Rather than serving as a drop-in replacement, Fluent Bit enhances the observability strategy for your infrastructure by adapting and optimizing your existing logging layer, as well as metrics and traces processing. Furthermore, Fluent Bit supports a vendor-neutral approach, seamlessly integrating with other ecosystems such as Prometheus and OpenTelemetry. Trusted by major cloud providers, banks, and companies in need of a ready-to-use telemetry agent solution, Fluent Bit effectively manages diverse data sources and formats while maintaining optimal performance.
  • 6
    VictoriaMetrics Anomaly Detection
    VictoriaMetrics Anomaly Detection is a service that continuously scans time series stored in VictoriaMetrics and detects unexpected changes within data patterns in real time. It does so by utilizing user-configurable machine learning models. In the dynamic and complex world of system monitoring, VictoriaMetrics Anomaly Detection, a part of our Enterprise offering, is a pivotal tool for achieving advanced observability. It empowers SREs and DevOps teams by automating the intricate task of identifying abnormal behavior in time-series data. It goes beyond traditional threshold-based alerting, utilizing machine learning techniques to detect anomalies and minimize false positives, thus reducing alert fatigue. Providing simplified alerting mechanisms atop unified anomaly scores enables teams to spot and address potential issues faster, ensuring system reliability and operational efficiency.
  • 7
    DataBahn

    DataBahn

    DataBahn

    DataBahn.ai is redefining how enterprises manage the explosion of security and operational data in the AI era. Our AI-powered data pipeline and fabric platform helps organizations securely collect, enrich, orchestrate, and optimize enterprise data—including security, application, observability, and IoT/OT telemetry—for analytics, automation, and AI. With native support for over 400 integrations and built-in enrichment capabilities, DataBahn streamlines fragmented data workflows and reduces SIEM and infrastructure costs from day one. The platform requires no specialist training, enabling security and IT teams to extract insights in real time and adapt quickly to new demands. We've helped Fortune 500 and Global 2000 companies reduce data processing costs by over 50% and automate more than 80% of their data engineering workloads.
  • 8
    StackState

    StackState

    StackState

    StackState's Topology and Relationship-Based Observability platform lets you manage your dynamic IT environment more effectively by unifying performance data from your existing monitoring tools into a single topology. Enabling you to: 1. 80% Decreased MTTR: by identifying the root cause and alerting the right teams with the correct information. 2. 65% Fewer Outages: through real-time unified observability and more planful planning. 3. 3x Faster Releases: by giving time back to developers to increase implementations. Get started today with our free guided demo: https://www.stackstate.com/schedule-a-demo
  • 9
    gProfiler

    gProfiler

    Granulate

    gProfiler combines multiple sampling profilers to produce unified visualization of what your CPU is spending time on, displaying stack traces of your processes across native programs (includes Golang), Java and Python runtimes. gProfiler can upload its results to the Granulate Performance Studio, which aggregates the results from different instances over different periods of time and can give you a holistic view of what is happening on your entire cluster. To upload results, you will have to register and generate a token on the website.
  • 10
    OpenTelemetry

    OpenTelemetry

    OpenTelemetry

    High-quality, ubiquitous, and portable telemetry to enable effective observability. OpenTelemetry is a collection of tools, APIs, and SDKs. Use it to instrument, generate, collect, and export telemetry data (metrics, logs, and traces) to help you analyze your software’s performance and behavior. OpenTelemetry is generally available across several languages and is suitable for use. Create and collect telemetry data from your services and software, then forward them to a variety of analysis tools. OpenTelemetry integrates with popular libraries and frameworks such as Spring, ASP.NET Core, Express, Quarkus, and more! Installation and integration can be as simple as a few lines of code. 100% Free and Open Source, OpenTelemetry is adopted and supported by industry leaders in the observability space.