
Grafana Labs delivers the leading AI-powered observability platform, built around Grafana—the most widely adopted open source technology for dashboards and visualization. Recognized as a Leader in the 2025 Gartner® Magic Quadrant™ for Observability Platforms, Grafana Labs supports more than 25 million users and thousands of organizations worldwide, from startups to Fortune 500 enterprises.
Grafana Cloud is the open observability cloud, designed to help engineering teams observe everything and solve anything. Built on open source, open standards, and open ecosystems, it unifies metrics, logs, traces, and profiles in a single platform for full-stack visibility across applications, infrastructure, and digital experiences.
At the core is the open-source LGTM stack: Grafana for dashboards and visualization, Mimir for metrics, Loki for logs, and Tempo for distributed tracing. Native OpenTelemetry and Prometheus support allow teams to ingest telemetry from virtually any environment, while hundreds of integrations connect existing tools and data sources without costly rip-and-replace migrations.
Grafana Cloud combines powerful analytics with AI-driven observability. Grafana Assistant helps engineers investigate issues, explore telemetry, and troubleshoot faster. Adaptive Telemetry identifies the data that matters most and aggregates the rest, helping organizations reduce telemetry costs while preserving valuable insights
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With solutions for Kubernetes monitoring, application observability, digital experience monitoring, incident response, synthetic monitoring, and performance testing, Grafana Cloud delivers a complete observability platform that scales with your business.
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Auvik Network Management is a network management and monitoring software designed to empower IT professionals with deep visibility, automation, and control over their network infrastructure. This innovative platform is trusted by businesses of all sizes to streamline network operations, enhance security, and optimize performance. One of Auvik's standout features is its real-time network mapping and discovery capabilities. It automatically generates interactive, visual maps of your network topology, allowing you to easily identify devices, connections, and potential bottlenecks. This invaluable insight helps in planning and optimizing network architecture for maximum efficiency.
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RevDeBug
Effortless debugging for microservices allows for immediate identification of the code responsible for service failures, even in cases of elusive errors. Gain insights into each request, outlier, and issue without the need for extra logging or error reproduction efforts. Discover the fundamental causes of every error with comprehensive context derived from logs, metrics, traces, and instances of failed code execution. Benefit from seamless end-to-end tracing supported by automatic instrumentation, enabling a detailed view of logs, metrics, traces, and the history of code execution failures. Experience thorough performance monitoring that aids in swiftly pinpointing and eliminating application bottlenecks. Enjoy real-time topology discovery that provides complete visibility of dependencies across all services involved. Utilize highly adaptable dashboards and notification systems to detect issues before they reach end users. Furthermore, ensure that all failed tests and errors are documented automatically, making it easier to address each failure effectively and facilitating a rapid feedback loop between testing and development teams throughout the entire development process. This approach not only enhances collaboration but also significantly improves overall software quality.
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Luciq
Luciq is an advanced mobile observability platform powered by AI, tailored for app developers and enterprises, enabling them to effectively monitor, diagnose, and enhance mobile applications with ease. This comprehensive solution integrates bug reporting, crash analytics, session replay, and performance monitoring within a single SDK that accommodates Android, iOS, web, and hybrid applications. Users can collect extensive device logs, network traces, annotated screenshots, videos, and user feedback, while machine learning automatically correlates events and errors to prioritize issues based on their impact. By offering developers insights into user sessions where problems occurred, they can replicate defects through replay and expedite issue resolution via integrations with tools like JIRA, Slack, Zapier, and Zendesk. Luciq's “Agentic Mobile Observability” methodology not only highlights the most pressing issues but also identifies potential root causes and suggests remediation strategies, empowering teams to boost their efficiency, enhance application stability, and improve the overall user experience. Ultimately, this platform transforms the way teams approach mobile app development and maintenance, ensuring they stay ahead of potential challenges.
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