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Open Source New Relic Alternatives

A curated collection of the 19 best open source alternatives to New Relic.

The best open source alternative to New Relic is Grafana. If that doesn't suit you, we've compiled a ranked list of other open source New Relic alternatives to help you find a suitable replacement. Other interesting open source alternatives to New Relic are: NetData, Prometheus, SigNoz, and ProjectDiscovery.

New Relic alternatives are mainly Performance Monitoring (APM) Tools but may also be Infrastructure Monitoring Tools or Log Management Tools. Browse these if you want a narrower list of alternatives or looking for a specific functionality of New Relic.

Piotr Kulpinski's profile

Written by Piotr Kulpinski

Grafana unifies metrics, logs, traces, profiles, and business data into one OpenTelemetry-native platform with AI-assisted root cause analysis and adaptive cost controls.

Screenshot of Grafana website

Grafana is a self-hosted observability platform built on open standards like OpenTelemetry and Prometheus. It brings together metrics, logs, traces, profiles, and business data into a single view, so engineering and SRE teams can troubleshoot across their entire stack without jumping between tools.

It's built for teams that want the flexibility of open source without the overhead of managing infrastructure themselves. Hundreds of plugins and integrations let you connect existing data sources rather than replacing them.

Key capabilities include:

  • Adaptive Telemetry automatically identifies high-value data and aggregates the rest, cutting telemetry costs by up to 80% without manual filtering rules
  • AI-assisted analysis helps interpret production telemetry and accelerate root cause analysis, plus tooling to evaluate and monitor production AI agents
  • Unified signal map correlates metrics, logs, and traces so teams can move from alert to fix without context-switching
  • Incident response and synthetic monitoring built in, covering the full reliability workflow rather than just data collection
  • Compliance certifications including FedRAMP, PCI DSS, SOC Type II, and GDPR, making it viable for regulated industries

Compared to alternatives like Dynatrace or Coralogix, Grafana's differentiator is its open-source foundation. The core Grafana stack is community-driven, and the cloud product extends it with managed infrastructure, enterprise features, and cost controls. You're not locked into proprietary agents or data formats.

For teams already using OpenObserve or Uptrace and considering a managed path, Grafana Cloud offers a broader feature surface with the same commitment to open standards. A free tier is available with no time limit, and paid plans scale with usage.

Powerful, efficient, and user-friendly monitoring solution for servers, containers, and applications with instant insights and alerts.

Screenshot of NetData website

NetData is a cutting-edge, open-source monitoring and troubleshooting tool designed for modern infrastructure and applications. It offers real-time, high-resolution metrics collection and visualization, enabling users to gain instant insights into their systems' performance.

Key benefits of NetData include:

  • Lightning-fast performance: Collects thousands of metrics per second with minimal resource usage.
  • Zero configuration: Auto-detects and monitors services out of the box, reducing setup time.
  • Stunning visualizations: Provides interactive, customizable dashboards for easy data interpretation.
  • Scalability: Efficiently monitors everything from single servers to large-scale distributed systems.
  • Alerting: Offers intelligent, customizable alerts to detect and respond to issues promptly.
  • Extensibility: Supports plugins and integrations with popular monitoring stacks.

NetData empowers DevOps teams, system administrators, and developers to identify and resolve performance bottlenecks quickly. Its user-friendly interface and powerful analytics capabilities make it an essential tool for maintaining optimal system health and performance in today's fast-paced, data-driven environments.

Pull-based monitoring system with a multi-dimensional data model, PromQL query language, built-in alerting, and a time series database built for cloud native environments.

Screenshot of Prometheus website

Prometheus is the de facto standard for open source infrastructure monitoring. It collects metrics from your applications, systems, and services, stores them as time series data, and lets you query, visualize, and alert on that data. Originally inspired by Google's internal Borgmon system, it's now a graduated CNCF project (the second after Kubernetes) with a large community behind it.

The core model is pull-based: Prometheus scrapes metrics from instrumented targets at configurable intervals. This makes it straightforward to see exactly what's being collected and when. Targets can be defined statically or discovered automatically, which is where its Kubernetes integration shines. It continuously discovers pods, services, and nodes as they come and go, so you don't have to manually update your monitoring config every time your infrastructure changes.

Key capabilities:

  • PromQL: a flexible query language for slicing and aggregating time series data across any combination of labels
  • Multi-dimensional data model: every metric carries key-value label pairs, letting you filter and group by environment, region, service, or any dimension you define
  • Built-in alerting: Alertmanager handles deduplication, grouping, silencing, and routing alerts to your notification channels
  • Service discovery: native integrations with Kubernetes, Consul, EC2, and other platforms
  • Local storage: an efficient on-disk time series database, purpose-built for high-ingestion workloads

For dashboards, Prometheus pairs naturally with Grafana, which can query it directly. Tools like Uptrace and OpenObserve also support Prometheus as a data source, extending what you can do with the metrics you're already collecting.

Prometheus is self-hosted, which means your metrics stay on your infrastructure. The entire project is Apache-licensed and community-governed under the CNCF.

Comprehensive monitoring and troubleshooting solution for microservices architectures, offering metrics, traces, and logs in a single pane.

Screenshot of SigNoz website

SigNoz is a powerful, open-source observability platform designed for modern, cloud-native applications. It provides a unified solution for monitoring, troubleshooting, and optimizing your microservices architecture.

Key benefits of SigNoz include:

  1. All-in-One Observability: Combine metrics, traces, and logs in a single platform, eliminating the need for multiple tools and reducing context-switching.

  2. Cost-Effective: As an open-source solution, SigNoz offers significant cost savings compared to proprietary alternatives, especially for high-volume data ingestion.

  3. Easy Setup: Get started quickly with a simple installation process and intuitive UI, making it accessible for teams of all sizes.

  4. Customizable Dashboards: Create tailored views of your system's performance with flexible, drag-and-drop dashboard builders.

  5. Distributed Tracing: Gain deep insights into request flows across your microservices, helping you identify bottlenecks and optimize performance.

  6. Anomaly Detection: Leverage built-in anomaly detection capabilities to proactively identify issues before they impact your users.

  7. Scalability: Designed to handle high-volume data ingestion, SigNoz scales effortlessly with your growing infrastructure.

  8. Open Standards: Built on OpenTelemetry, ensuring compatibility with a wide range of technologies and future-proofing your observability stack.

By choosing SigNoz, you're not just adopting a monitoring tool; you're embracing a comprehensive observability solution that grows with your needs and empowers your team to maintain high-performing, reliable applications.

Monitor infrastructure for exploitable vulnerabilities with real-time detection, automated workflows, and zero false positives.

Screenshot of ProjectDiscovery website

ProjectDiscovery delivers enterprise-grade vulnerability management with a focus on detecting only exploitable vulnerabilities to eliminate false positives. The platform features real-time infrastructure monitoring that provides instant visibility into your entire tech stack as teams deploy.

Key capabilities include:

  • Zero-noise vulnerability detection that identifies only actual exploitable vulnerabilities
  • Comprehensive asset discovery to map and contextualize your complete attack surface
  • Custom exploit detection through the open-source Nuclei framework
  • Automated workflows for instant organization-wide detection and triage
  • Multi-protocol support covering web, network, DNS, and cloud infrastructure

The platform is trusted by over 100,000 security professionals to transform noisy scan results into relevant, actionable alerts that enable 10x faster vulnerability triage and remediation.

Open-source session replay and product analytics platform you can self-host for complete control over data security, privacy, and compliance.

Screenshot of OpenReplay website

Complete visibility into user behavior with session replay technology that captures every click, scroll, and interaction in your application. See exactly how users navigate your product, identify friction points, and troubleshoot issues faster than ever before.

Self-hosted for maximum security - Deploy on your own infrastructure to maintain complete control over customer data. No third-party processors, no compliance headaches, and full alignment with the strictest regulatory standards including SOC 2 Type 2 compliance.

Comprehensive analytics suite includes:

  • Session Replay - Watch user sessions like movies to understand real behavior
  • Product Analytics - Funnels, user journeys, trends, and heatmaps for data-driven decisions
  • Co-Browsing - Assist users in real-time with live session sharing and remote control
  • Developer Tools - Built-in debugging capabilities to reproduce and fix issues instantly

Enterprise-ready platform trusted by product teams worldwide across engineering, product management, customer support, and UX research. Transform hours of debugging into minutes of targeted problem-solving with session insights that take you straight to the root cause.

Open source observability platform unifying session replays, logs, traces, metrics and errors. Fast search, automatic clustering, $0.40/GB pricing.

Screenshot of HyperDX website

Open source observability platform that unifies session replays, logs, traces, metrics and errors into a single view - all without the expensive Datadog price tag. Recently acquired by ClickHouse to accelerate open source observability innovation.

Key capabilities include:

  • End-to-end correlation - Trace requests from user browsers to backend servers and async workers automatically
  • Blazing fast search - Query terabytes of events in seconds, powered by ClickHouse
  • Automatic clustering - Condense billions of events into distinctive patterns without manual configuration
  • Session replay integration - Automatically link user sessions with backend logs and traces
  • Intuitive visualization - Build charts and graphs with simple full-text search, no complex syntax required

Developer-friendly features:

  • OpenTelemetry-powered instrumentation prevents vendor lock-in
  • Agent-free installation option eliminates infrastructure overhead
  • Native JSON parsing for structured logs with zero configuration
  • Real-time live tail for immediate log stream monitoring
  • Intercom integration for jumping directly from support tickets to user sessions

Transparent pricing at $0.40 per GB with no per-user or per-host fees makes enterprise-grade observability accessible to teams of all sizes. Trusted by high-velocity engineering teams for resolving production issues fast.

Comprehensive monitoring solution offering error tracking, session replay, and performance insights for seamless debugging and optimization.

Screenshot of Highlight website

Highlight is a powerful observability platform designed to revolutionize how developers monitor and debug web applications. By combining error tracking, session replay, and performance monitoring in a single, intuitive interface, Highlight provides unparalleled insights into your application's behavior.

Key benefits of Highlight include:

  • Error Tracking: Instantly capture and diagnose errors with detailed stack traces, error context, and affected user information.
  • Session Replay: Visualize user interactions with pixel-perfect recreations of sessions, helping you understand and reproduce issues quickly.
  • Performance Monitoring: Gain deep insights into your application's performance with metrics on load times, API calls, and resource usage.
  • Real-time Alerts: Stay informed about critical issues with customizable alerts delivered via email, Slack, or other integrations.
  • Easy Integration: Get started in minutes with simple SDK integration for popular frameworks and languages.
  • Privacy-focused: Ensure data protection with automatic PII redaction and customizable data retention policies.

Highlight empowers development teams to identify, prioritize, and resolve issues faster, leading to improved application stability and enhanced user experiences. With its comprehensive feature set and user-friendly interface, Highlight is the go-to solution for modern web application observability.

Open-source observability platform for LLMs using OpenTelemetry. Monitor performance, track costs, and debug AI applications with just 2 lines of code.

Screenshot of OpenLLMetry website

Monitor and optimize your LLM applications with comprehensive observability built on OpenTelemetry standards. This open-source platform provides deep insights into your AI systems with minimal setup complexity.

Key capabilities include:

  • Performance monitoring - Track response times, throughput, and system health across all LLM interactions
  • Cost tracking - Monitor API usage and expenses across different LLM providers in real-time
  • Error detection - Identify and debug issues in your AI applications before they impact users
  • Request tracing - Follow complete request flows through your LLM pipeline for better debugging
  • Multi-provider support - Works seamlessly with various LLM providers and observability platforms

Quick integration requires just 2 lines of code to start collecting telemetry data. Built on OpenTelemetry standards, ensuring compatibility with existing monitoring infrastructure and avoiding vendor lock-in.

Perfect for developers building production LLM applications who need reliable monitoring without complex setup or proprietary dependencies.

Coroot simplifies system monitoring by providing metrics, logs, traces, and profiling with zero instrumentation, leveraging eBPF technology.

Screenshot of Coroot website

Coroot is an innovative open-source observability platform that revolutionizes how developers and operations teams monitor and troubleshoot their systems. Here's what makes Coroot stand out:

  1. Zero-instrumentation observability:

    • Utilizes eBPF technology to automatically gather metrics, logs, traces, and profiles without any code changes
    • Provides a comprehensive Service Map covering 100% of your system with no blind spots
    • Offers predefined inspections to audit each application without configuration
  2. Comprehensive monitoring features:

    • Application Health Summary for easy status overview of multiple services
    • Distributed tracing to explore outlier requests with a single click
    • Log pattern analysis with out-of-the-box event clustering
    • Continuous profiling to analyze CPU and memory usage down to specific code lines
    • AI-powered root cause analysis for quick anomaly explanations
  3. User-friendly interface:

    • Intuitive dashboards for visualizing system performance
    • One-click investigation of anomalies
    • Easy comparison of system behavior against baselines
  4. Built-in expertise:

    • Automatically identifies over 80% of issues
    • Sends concise alerts with relevant inspection results when SLOs are not met
    • Customizable inspections for specific applications or entire projects
  5. Deployment and cost monitoring:

    • Tracks every application rollout in Kubernetes clusters
    • Compares each release with the previous one to detect performance degradations
    • Provides cloud cost insights down to individual applications
  6. Open-source and cloud options:

    • Available as a free, open-source Community Edition
    • Coroot Cloud offering for those who prefer a managed solution

Coroot simplifies the complex task of system observability, making it accessible to teams of all sizes. By leveraging cutting-edge technologies and providing a user-friendly interface, Coroot enables faster debugging, better development practices, and improved system reliability.

Cloud-native observability database unifying metrics, logs, and traces with sub-second queries, 50x cost reduction, and seamless OpenTelemetry integration.

Screenshot of GreptimeDB website

GreptimeDB is a cloud-native, real-time observability database that revolutionizes how organizations handle metrics, logs, and traces. Built for OpenTelemetry and modern cloud environments, it delivers sub-second query performance at petabyte scale while dramatically reducing operational complexity.

Key benefits include:

  • All-in-One Solution: Process metrics, logs, and traces through a unified database with full SQL, PromQL, and streaming processing support
  • Exceptional Performance: Built with Rust for reliability, featuring rich indexing options (inverted, fulltext, skipping, and vector) that enable sub-second responses on massive datasets
  • Massive Cost Savings: Achieve 50x lower operational and storage costs through compute-storage separation and flexible cloud scaling
  • Infinite Scalability: Purpose-built for Kubernetes with industry-leading architecture that handles cardinality explosion at massive scale
  • Developer-Friendly: Access through standardized interfaces including web dashboard, REST API, and MySQL/PostgreSQL protocols
  • Flexible Deployment: Deploy anywhere from ARM-based edge devices to cloud environments with unified APIs

Trusted by companies like Li Auto (reduced traffic costs by 50%, storage costs by 98%), SGCC (2x write performance, 5x query performance), and others who have migrated from InfluxDB, Loki, and Thanos to achieve superior performance and simplified operations.

Open-source platform for logging, monitoring, and debugging LLM applications. Route, debug, and analyze AI apps with comprehensive observability tools.

Screenshot of Helicone website

Helicone is the open-source platform that helps developers build reliable AI applications through comprehensive observability. Trusted by the world's fastest-growing AI companies, it provides essential tools for routing, debugging, and analyzing LLM applications.

Key Features:

  • Universal Integration: Access 100+ models with a single integration (beta)
  • Complete Observability: Log, monitor, and debug your AI applications
  • Advanced Analytics: Track requests, segments, sessions, and user properties
  • Developer Tools: Prompts playground, experiments, evaluators, and datasets
  • Enterprise Ready: Scalable solution for growing AI companies

The platform offers a comprehensive dashboard for monitoring AI application performance, with detailed request tracking and user analytics. Developers can experiment with prompts, run evaluations, and manage datasets all within one unified interface.

Getting Started: No credit card required with a 7-day free trial. The platform is designed to help developers quickly identify issues, optimize performance, and ensure their AI applications run reliably at scale.

Logfire offers intuitive observability tools for Python applications, combining logs, profiling, and telemetry in one platform.

Screenshot of Logfire website

Logfire brings powerful observability to Python applications with remarkable simplicity. Built by the team behind Pydantic, it offers developers an intuitive way to gain deep insights into their code.

Key features:

  • Seamless integration: Easy setup with popular Python libraries and frameworks
  • Comprehensive visibility: Monitor logs, traces, and performance metrics in one place
  • Structured data: Query-ready logs for easy analysis and visualization
  • Manual tracing: Create custom logs and traces with a modern, user-friendly interface
  • OpenTelemetry support: Leverage the power of OTel with simplified implementation

Logfire transforms complex observability tasks into actionable insights. Whether you're building AI tools or cloud-based applications, it provides a clear window into your code's behavior. With features like performance profiling and full execution tracing, Logfire helps developers quickly identify and resolve issues.

The platform's intuitive design makes it accessible for teams of all sizes, eliminating the need for dedicated observability experts. By combining ease of use with powerful analytics capabilities, Logfire empowers developers to make data-driven decisions and continuously improve their applications.

Uptrace is an OpenTelemetry-based platform that integrates traces, metrics, and logs to help monitor and optimize complex distributed systems.

Screenshot of Uptrace website

Uptrace is an open-source observability platform built on OpenTelemetry, designed to help developers and operations teams monitor, understand, and optimize complex distributed systems. It offers a comprehensive solution for application performance monitoring (APM) with integrated tracing, metrics, and logging capabilities.

Key features and benefits:

  1. All-in-one solution:

    • Integrates traces, metrics, and logs in a single platform
    • Eliminates the need for multiple monitoring tools
    • Supports data from OpenTelemetry, Prometheus, Vector, FluentBit, and CloudWatch
  2. Flexible deployment options:

    • Self-hosted: Free to use without limitations
    • Managed cloud service: For those who prefer a hands-off approach
    • On-premise installation available upon request
  3. Cost-effective and predictable pricing:

    • Pay only for ingested gigabytes and active timeseries
    • Set a budget to avoid unexpected costs
    • First month free with 1TB storage and 50,000 timeseries (no credit card required)
  4. OpenTelemetry integration:

    • Quick setup with minimal code changes
    • Supports multiple programming languages (Go, Python, Ruby, Node.js, .NET, Java, Erlang, Elixir, Rust, PHP)
    • Vendor-agnostic instrumentation for easy switching between providers
  5. Comprehensive monitoring dashboard:

    • Service graph showing relationships between components
    • RED metrics (Rate, Errors, Duration)
    • Latency percentiles (p50/p90/p99/max)
    • Most frequent logs and errors
    • Slowest requests identification
  6. Scalability:

    • Designed to work at any scale, from small applications to large distributed systems
  7. Incident response:

    • Helps teams identify and resolve issues quickly, often before customers notice

By offering a unified platform for observability, Uptrace simplifies the monitoring process and provides valuable insights into application performance, helping teams optimize their systems and respond to incidents more effectively.

Monitor your entire IT infrastructure with 2,000+ plugins, automated discovery, and scalable architecture. Open source and enterprise solutions available.

Screenshot of Checkmk website

Comprehensive IT monitoring that scales from small teams to enterprise environments with millions of services. Checkmk automatically discovers and monitors your entire infrastructure - from cloud providers to data centers, servers, networks, containers, and applications.

Key advantages include:

  • 2,000+ vendor-maintained plugins for out-of-the-box monitoring of virtually any system
  • Automated discovery and configuration via REST API reduces manual setup time
  • High-performance core designed to handle massive scale while maintaining a small footprint
  • Granular alerting system that notifies only relevant teams and integrates with ServiceNow, Jira, Slack, and more

Multiple deployment options cater to different needs:

  • Raw Edition: Free open-source version for mid-sized infrastructures
  • Enterprise Edition: Advanced automation and visualization features
  • Cloud Edition: SaaS solution optimized for hybrid cloud environments
  • MSP Edition: Multi-tenant capabilities for service providers

Advanced features include dynamic dashboards, business intelligence mapping, custom self-healing actions, and comprehensive SLA reporting. The platform combines infrastructure monitoring with log analysis, synthetic testing capabilities, and historical performance forecasting to provide complete visibility into your IT operations.

Elementary provides dbt-native data observability to detect issues, understand root causes, and resolve problems quickly in data pipelines.

Screenshot of Elementary Data website

Elementary is an open-source data observability platform built specifically for modern data teams using dbt. Some key features and benefits include:

  • dbt-native integration: Elementary integrates seamlessly with dbt, allowing teams to manage data quality and observability directly in their dbt projects. All configurations can be managed as code in dbt.

  • Automated monitoring: Elementary automatically monitors data freshness, volume, schema changes, and can detect anomalies in data. It leverages existing dbt tests and allows adding custom anomaly detection tests.

  • Data lineage: Provides column-level lineage from data warehouse to BI dashboards, making it easy to understand data flows and impact of issues.

  • Actionable alerts: Sends detailed alerts with queries, sample data, and relevant metadata to help quickly diagnose and resolve problems.

  • Security-focused design: Elementary Cloud does not require access to raw data, only reading metadata from a dedicated schema.

  • Quick setup: Can be deployed in minutes without complex configurations.

  • Open source: Core functionality is open source and backed by an active community.

  • Integrations: Works with major data warehouses, orchestration tools, BI platforms, and collaboration tools.

Elementary aims to help data teams gain visibility into their pipelines, detect problems early, understand root causes, and resolve issues faster. It's designed to fit into existing dbt workflows while providing powerful observability capabilities.

Observability platform built on OpenTelemetry and ClickHouse. Collect, visualize, and query distributed traces, logs, and metrics, with an MCP server for AI agent diagnostics.

Screenshot of Maple website

Maple is an observability platform for distributed systems, built on OpenTelemetry and backed by ClickHouse for sub-second queries across billions of rows. It handles traces, logs, and metrics in one place, with correlated data across all three signals tied to a single trace ID. No stitching between tools, no second search in a second product.

The incident workflow is its sharpest edge. An alert arrives carrying the service, the broken threshold, and sample traces. From there you open the failing span tree, jump to correlated logs on the same trace ID, and see exactly what happened. Retry exhaustion, a full connection pool, three Stripe timeouts at 1.75 seconds each – all visible without switching tabs.

Key capabilities:

  • Distributed tracing – full span trees with every attribute intact, no sampling gap hiding the outlier
  • Structured logs – OTLP logs searchable by severity, service, message, and duration in seconds
  • Session replay – browser clicks, routes, console lines, and failed requests, joined to spans by session ID
  • Metrics and dashboards – request rate, error rate, latency percentiles, drag-to-build or agent-suggested
  • Service maps – live request flow across services, the dependency cascade you'd otherwise reconstruct after the fact
  • Error tracking – errors grouped by type, with trends, affected services, and sample traces attached
  • Alerting – seven signal types with severity, incident tracking, and auto-resolution; routes to Slack, Discord, PagerDuty, or any webhook
  • MCP server – any compatible AI agent (Claude, Cursor, others) can list services, search traces, read source files, and open a PR with a proposed fix
  • Kubernetes integration – Helm chart that joins spans to pod, node, and namespace; kube-state metrics included

Compared to tools like HyperDX or Uptrace, Maple's first-class MCP surface is a genuine differentiator. The agent doesn't just read dashboards – it pulls the source file behind a failing span, so the fix it proposes cites your actual code. It can also write back: claim an issue, set severity, attach a fix.

The local mode runs as a single compiled binary with an embedded ClickHouse, OTLP ingest, query API, and dashboard – all on localhost, no account required. For production, you can self-host against your own ClickHouse or use the hosted plan at $39/month for 100 GB per signal, then $0.30/GB flat. No per-host fees. No per-seat fees.

The source is on GitHub under FSL-1.1, which converts to Apache 2.0 two years after each release. OpenTelemetry in means no proprietary agent and no re-instrumentation if you switch.

Bugsink offers real-time error tracking with self-hosting capabilities, allowing easy installation and connection to any app using Sentry-compatible SDKs.

Screenshot of Bugsink website

Bugsink is a powerful self-hosted error tracking solution designed for developers who want full control over their error monitoring infrastructure. With Bugsink, you can easily install the platform on your own servers and connect any application using Sentry-compatible SDKs.

Key features of Bugsink include:

  • Self-hosted control: Install Bugsink on your own servers for complete data ownership and privacy.
  • Real-time error tracking: Get instant notifications about errors in your applications as they occur.
  • Sentry SDK compatibility: Seamlessly integrate with most popular programming languages using existing Sentry SDKs.
  • Scalable performance: Handle millions of events daily without failure, ensuring reliability when you need it most.
  • Comprehensive error details: Access all the information needed to triage and fix errors in one centralized location.
  • Easy installation: Follow detailed instructions to get up and running quickly.

Bugsink empowers development teams to maintain high-quality applications by providing a robust, scalable, and self-controlled error tracking solution. Whether you're managing a small project or a large-scale application, Bugsink offers the tools you need to identify, analyze, and resolve issues efficiently.

Monitor networks, servers, and cloud environments with flexible open-source solution. Custom checks, fast alerts, and complete infrastructure control.

Screenshot of Icinga website

Complete visibility across your entire IT landscape with this comprehensive open-source monitoring platform. Whether managing on-premises servers, cloud environments, or hybrid infrastructures, you get the flexibility and control needed for complex enterprise monitoring.

Key capabilities include:

  • Real-time monitoring of servers, networks, applications, and services
  • Custom check configurations tailored to your specific requirements
  • Fast alerting system to detect and respond to issues before they escalate
  • Scalable architecture that grows with your infrastructure needs
  • Multi-tenancy support for enterprise environments
  • High availability configurations for mission-critical monitoring

Comprehensive monitoring solutions cover Kubernetes clusters, database performance, Windows and VMware environments, plus business-critical applications. The platform bridges monitoring with IT service workflows and security operations for unified visibility.

Enterprise-ready features include automation capabilities, API-driven processes, extensive integrations with existing DevOps tools, and professional support options. Built on open-source principles while delivering enterprise-grade stability, security, and customization options that adapt to your operational needs.

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