Compare the Top Free Observability Tools as of April 2026 - Page 2

  • 1
    Pyroscope

    Pyroscope

    Pyroscope

    Open source continuous profiling. Find and debug your most painful performance issues across code, infrastructure and CI/CD pipelines. Let you tag your data on the dimensions important for your organization. Allows you to store large volumes of high cardinality profiling data cheaply and efficiently. FlameQL enables custom queries to select and aggregate profiles quickly and efficiently for easy analysis. Analyze application performance profiles using our suite of profiling tools. Understand usage of CPU and memory resources at any point in time and identify performance issue before your customer do. Collect, store, and analyze profiles from various external profiling tools in one central location. Link to your OpenTelemetry tracing data and get request-specific or span-specific profiles to enhance other observability data like traces and logs
    Starting Price: Free
  • 2
    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
  • 3
    Jaeger

    Jaeger

    Jaeger

    Distributed tracing observability platforms, such as Jaeger, are essential for modern software applications that are architected as microservices. Jaeger maps the flow of requests and data as they traverse a distributed system. These requests may make calls to multiple services, which may introduce their own delays or errors. Jaeger connects the dots between these disparate components, helping to identify performance bottlenecks, troubleshoot errors, and improve overall application reliability. Jaeger is 100% open source, cloud-native, and infinitely scalable.
    Starting Price: Free
  • 4
    Elastiflow

    Elastiflow

    Elastiflow

    The most complete network observability solution for use with modern data platforms, providing unprecedented insights at any scale. ElastiFlow allows organizations to achieve unprecedented levels of network performance, availability, and security. ElastiFlow provides granular information about network traffic flows, including source and destination IP addresses, ports, protocols, and the amount of data transmitted. This information allows network administrators to gain deep insights into the network's performance and identify potential issues. ElastiFlow is highly valuable for diagnosing and troubleshooting network issues such as congestion, high latency, or packet loss. By analyzing the network traffic, administrators can pinpoint the cause of the problem and take appropriate action to resolve it. By leveraging ElastiFlow, organizations can improve their security posture, detect and respond to threats more effectively, and maintain compliance with regulatory requirements.
    Starting Price: Free
  • 5
    Amazon OpenSearch Service
    Increase operational excellence by using a popular open source solution, managed by AWS. Audit and secure your data with a data center and network architecture with built-in certifications. Systematically detect potential threats and react to a system’s state through machine learning, alerting, and visualization. Optimize time and resources for strategic work. Securely unlock real-time search, monitoring, and analysis of business and operational data. Amazon OpenSearch Service makes it easy for you to perform interactive log analytics, real-time application monitoring, website search, and more. OpenSearch is an open source, distributed search and analytics suite derived from Elasticsearch. Amazon OpenSearch Service offers the latest versions of OpenSearch, support for 19 versions of Elasticsearch (1.5 to 7.10 versions), as well as visualization capabilities powered by OpenSearch dashboards and Kibana.
    Starting Price: $0.036 per hour
  • 6
    VictoriaMetrics Enterprise
    VictoriaMetrics Enterprise is a commercial solution designed by the creators of VictoriaMetrics for complex monitoring and observability setups. It's ideal for organizations with mission-critical, large, or rapidly scaling monitoring environments. The Enterprise version includes all the features of the community edition plus additional enhancements such as Downsampling Automated Backups / Backup Manager Data Retention per Label/Tenant Multi-Tenant Statistic & Rate Limiting Anomaly Detection. It offers stable releases with long-term support, ensuring critical bug fixes and security patches. Enterprise security compliance and prioritized feature requests are also part of the package. We help you to reduce storage costs and boost performance for historical data queries. Multiple retentions allow different storage durations for various datasets. Automatic discovery of storage nodes updates the list at insert and vmselect without restarting services.
    Starting Price: $0
  • 7
    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
  • 8
    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
  • 9
    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
  • 10
    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
  • 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
  • 12
    Tetragon

    Tetragon

    Tetragon

    Tetragon is a flexible Kubernetes-aware security observability and runtime enforcement tool that applies policy and filtering directly with eBPF, allowing for reduced observation overhead, tracking of any process, and real-time enforcement of policies. eBPF enables deep observability with low-performance overhead, mitigating risks without the latency introduced by user-space processing. Tetragon extends Cilium's design by recognizing workload identities like namespace and pod metadata, surpassing traditional observability. It offers pre-defined policy libraries for rapid deployment and operational insight, reducing setup time and complexity at scale. Tetragon blocks malicious activities at the kernel level, closing the window for exploitation without succumbing to TOCTOU attack vectors. Synchronous monitoring, filtering, and enforcement are performed entirely within the kernel using eBPF.
    Starting Price: Free
  • 13
    ObserveNow

    ObserveNow

    ​OpsVerse

    ​OpsVerse's ObserveNow is a fully managed observability platform that integrates logs, metrics, distributed traces, and application performance monitoring into a single solution. Built on open source tools, ObserveNow offers rapid deployment, enabling users to start observing their infrastructure within minutes without extensive engineering effort. It supports deployment across various environments, including public clouds, private clouds, or on-premises, and ensures data compliance by allowing data to remain within the user's network. Features include pre-configured dashboards, alerts, anomaly detection, and workflow-based auto-remediation, all aimed at reducing the mean time to detect and the mean time to resolve issues. Additionally, ObserveNow offers a private SaaS option, providing the benefits of SaaS within the user's network or cloud, and operates at a fraction of the cost of traditional observability solutions.
    Starting Price: $12 per month
  • 14
    OpenObserve

    OpenObserve

    OpenObserve

    OpenObserve is an open source observability platform for logs, metrics, and traces that emphasizes high performance, scalability, and dramatically lower cost. It supports petabyte-scale observability thanks to features like data compression using columnar storage and the ability to use “bring your own bucket” storage (local disk, S3, GCS, Azure Blob, etc.). It is written in Rust, uses the DataFusion query engine to directly query Parquet files, and provides a stateless, horizontally scalable architecture with caching (both result and disk) to maintain speed under heavy load. It embraces open standards (OpenTelemetry compatibility, vendor-neutral APIs), so it fits into existing monitoring/logging workflows. Key modules include logs, metrics, traces, frontend monitoring, pipelines, alerts, and dashboards/visualizations.
    Starting Price: $0.30 per GB
  • 15
    Foxglove

    Foxglove

    Foxglove

    Foxglove is a visualization, observability, and data management platform purpose-built for robotics and embodied AI development that centralizes and simplifies working with large, multimodal temporal datasets, including time series, sensor logs, imagery, lidar/point clouds, geospatial maps, and more, in a single, integrated workspace. It enables engineers to record, import, organize, stream, and visualize both live and recorded data from robots using intuitive, customizable dashboards with interactive panels for 3D scenes, plots, raw messages, images, and maps, helping users understand how robots sense, think, and act. Foxglove supports real-time connections to systems like ROS and ROS 2 via bridges and web sockets, enables cross-platform workflows (desktop app for Linux, Windows, and macOS), and facilitates rapid analysis, debugging, and performance optimization by synchronizing diverse data sources in time and space.
    Starting Price: $18 per month
  • 16
    NudgeBee

    NudgeBee

    NudgeBee

    NudgeBee is an AI Agents and Agentic Workflow platform built for SRE, CloudOps, and DevOps teams. It combines pre-built AI Assistants for incident troubleshooting, cloud cost optimization, and Kubernetes operations with a visual no-code Workflow Builder for custom automation. NudgeBee's AI engine auto-investigates alerts using a live semantic Knowledge Graph, grounded in your actual infrastructure topology. It queries data in place from existing tools (Prometheus, Datadog, Grafana, Loki) with zero data ingestion. The Workflow Builder supports 20+ action categories, native AWS/Azure/GCP CLI nodes, A2A and MCP protocol support, and human-in-the-loop approval gates. 49+ integrations. Enterprise-ready with RBAC, audit trails, BYOM (Bring Your Own Model), and self-hosted deployment. SOC-2 Type II and ISO 27001 compliant.
    Starting Price: $150 per month
  • 17
    Struct

    Struct

    Struct

    Struct is an AI-powered communication platform designed to improve how teams capture, organize, and use information from conversations by transforming chat into a structured, searchable knowledge system. Instead of treating messages as disposable streams, Struct organizes discussions into threads and feeds, while continuously building a contextual knowledge base that preserves insights, decisions, and shared resources. It integrates AI to analyze conversations, surface relevant information, and connect related ideas, ensuring that important context is not lost across messages or time. This allows teams to quickly retrieve documents, answers, and prior discussions without needing to manually search across multiple tools or repeat information. Struct emphasizes clarity, focus, and productivity by reducing noise in communication and turning everyday interactions into actionable knowledge that supports collaboration and decision-making.
    Starting Price: $20 per month
  • 18
    Devtron

    Devtron

    Devtron

    Devtron is an AI-native, Kubernetes-focused DevOps platform designed to simplify and unify the entire lifecycle of application delivery, infrastructure management, and operations within a single control plane. It combines core DevOps capabilities such as CI/CD, GitOps, security, observability, cost management, and debugging into one integrated interface, eliminating the need to manage multiple disconnected tools and dashboards. It acts as a centralized control layer for Kubernetes environments, allowing teams to deploy, monitor, manage, and troubleshoot applications across multi-cloud or on-prem clusters with full visibility and governance. It includes Kubernetes-native CI/CD pipelines with no-code workflows, multi-environment orchestration, approval-based deployments, and reusable templates, enabling faster and more reliable software delivery while reducing manual effort.
    Starting Price: $999 per month
  • 19
    BigPanda

    BigPanda

    BigPanda

    Aggregate data from all observability, monitoring, change and topology tools. BigPanda’s Open Box Machine Learning will correlate the data into a small number of actionable insights so incidents are detected in real-time, as they form, before they escalate into outages. Accelerate incident and outage resolution by automatically identifying the probable root cause of problems. BigPanda identifies both root cause changes and infrastructure-related root causes. Resolve incidents and outages faster. BigPanda automates and streamlines the incident response lifecycle across incident triage, ticketing, notifications, and war room creation. Accelerate remediation by integrating BigPanda with enterprise runbook automation tools. Applications and cloud services are the lifeblood of every company. When there’s an outage, everyone is impacted. BigPanda cements AIOps market leadership with $190M in funding, $1.2B valuation.
  • 20
    Zenoss

    Zenoss

    Zenoss

    Zenoss Cloud is the first SaaS-based intelligent IT operations management platform that streams and normalizes all machine data, uniquely enabling the emergence of context for preventing service disruptions in complex, modern IT environments. Zenoss lets enterprises focus on growing their businesses by freeing them from the work that slows down architecture and operations teams. Organizations using Zenoss can eliminate infrastructure blind spots, predict impacts to business services before they cause outages, and resolve incidents faster — operating at whatever scale the business requires. Zenoss Cloud is the first SaaS-based intelligent IT operations management platform that streams and normalizes all machine data, uniquely enabling the emergence of context for preventing service disruptions in complex, modern IT environments. Zenoss is built for modern IT infrastructures. Let's discuss how we can work together.
  • 21
    Epsagon

    Epsagon

    Epsagon

    Epsagon enables teams to instantly visualize, understand and optimize their microservice architectures. With our unique lightweight auto-instrumentation, gaps in data and manual work associated with other APM solutions are eliminated, providing significant reductions in issue detection, root cause analysis and resolution times. Increase development velocity and reduce application downtime with Epsagon.
    Starting Price: $89 per month
  • 22
    Chaos Genius

    Chaos Genius

    Chaos Genius

    Chaos Genius is a DataOps Observability platform for Snowflake. Enable Snowflake Observability to reduce Snowflake costs and optimize query performance.
    Starting Price: $500 per month
  • 23
    Middleware

    Middleware

    Middleware Lab

    AI-powered cloud observability platform. Middleware platform helps identify, understand and fix issues across your cloud infrastructure. AI will detect all the issues from infra and application and give better recommendations on fixing them. Monitor metrics, logs, and traces in real-time on the dashboard. The most efficient and faster results with the least resource usage. Bring all the metrics, logs, traces, and events to one single unified timeline. Get complete visibility into your cloud with a full-stack observability platform. Our AI-based predictive algorithms look at your data and give you suggestions on what to fix. You are the owner of your data. Control your data collection and store it on your cloud to reduce cost by 5x to 10x. Connect the dots between when the problem begins and where it ends. Fix problems before your users' report. They get an all-inclusive solution for cloud observability in a single place. And that's too cost-effective.
    Starting Price: Free
  • 24
    Phlare

    Phlare

    Grafana Labs

    Grafana Phlare lets you aggregate continuous profiling data with high availability, multi-tenancy, and durable storage. This helps you get a better understanding of resource usage in your applications down to the line number. Grafana Phlare is an open source database that provides fast, scalable, highly available, and efficient storage and querying of profiling data. The idea behind Phlare was sparked during a company-wide hackathon at Grafana Labs. The project was announced in 2022 at ObservabilityCON. The mission for the project is to enable continuous profiling at scale for the open source community, giving developers a better understanding of resource usage of their code. By doing so, it allows users to understand their application performance and optimize their infrastructure spend.
    Starting Price: Free
  • 25
    Usage Panda

    Usage Panda

    Usage Panda

    Layer enterprise-level security features over your OpenAI usage. OpenAI LLM APIs are incredibly powerful, but they lack the granular control and visibility that enterprises expect. Usage Panda fixes that. Usage Panda evaluates security policies for requests before they're sent to OpenAI. Avoid surprise bills by only allowing requests that fall below a cost threshold. Opt-in to log the complete request, parameters, and response for every request made to OpenAI. Create an unlimited number of connections, each with its own custom policies and limits. Monitor, redact, and block malicious attempts to alter or reveal system prompts. Explore usage in granular detail using Usage Panda's visualization tools and custom charts. Get notified via email or Slack before reaching a usage limit or billing threshold. Associate costs and policy violations back to end application users and implement per-user rate limits.
  • 26
    Pinghome

    Pinghome

    Pinghome

    Pinghome is the leading provider of premium cloud-based uptime monitoring services. Our mission is simple: to empower you with the tools and insights you need to ensure your websites and APIs are always up and running flawlessly. At Pinghome, we believe in delivering the highest quality service, and that starts with our exceptional team of experienced and passionate developers. With their expertise and dedication, we are ready to cater to all your website monitoring needs, providing you with unparalleled support and guidance every step of the way.
    Starting Price: €7/month
  • 27
    Portkey

    Portkey

    Portkey.ai

    Launch production-ready apps with the LMOps stack for monitoring, model management, and more. Replace your OpenAI or other provider APIs with the Portkey endpoint. Manage prompts, engines, parameters, and versions in Portkey. Switch, test, and upgrade models with confidence! View your app performance & user level aggregate metics to optimise usage and API costs Keep your user data secure from attacks and inadvertent exposure. Get proactive alerts when things go bad. A/B test your models in the real world and deploy the best performers. We built apps on top of LLM APIs for the past 2 and a half years and realised that while building a PoC took a weekend, taking it to production & managing it was a pain! We're building Portkey to help you succeed in deploying large language models APIs in your applications. Regardless of you trying Portkey, we're always happy to help!
    Starting Price: $49 per month
  • 28
    HTCD

    HTCD

    HTCD

    HTCD is a cloud security SaaS built AI-first to materially upgrade your security posture. Access centralized visibility across your AWS and Azure environments—with 500+ OOTB policies for cloud security, infrastructure, network, SaaS, and compliance. All while retaining 100% ownership of your data. Create no-code detections in minutes. AI converts your questions to code for rapid results: Which CVEs can be exploited in my Azure environment? Show me S3 costs over the last 2 weeks ... and more. Get a prioritized view of security misconfigurations and vulnerabilities—solve the most pressing issues to reduce operational risk. AI reduces your response time by prioritizing in minutes what otherwise takes weeks. Get started in 15 minutes, free for 6 months for startups.
  • 29
    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.
  • 30
    Tigera

    Tigera

    Tigera

    Kubernetes-native security and observability. Security and observability as code for cloud-native applications. Cloud-native security as code for hosts, VMs, containers, Kubernetes components, workloads, and services to secure north-south and east-west traffic, enable enterprise security controls, and ensure continuous compliance. Kubernetes-native observability as code to collect real-time telemetry, enriched with Kubernetes context, for a live topographical view of interactions between components from hosts to services. Rapid troubleshooting with machine-learning powered anomaly and performance hotspot detection. Single framework to centrally secure, observe, and troubleshoot multi-cluster, multi-cloud, and hybrid-cloud environments running Linux or Window containers. Update and deploy policies in seconds to enforce security and compliance or resolve issues.
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