Grafana
Grafana Labs provides an open and composable observability stack built around Grafana, the leading open source technology for dashboards and visualization. Recognized as a 2025 Gartner® Magic Quadrant™ Leader for Observability Platforms and positioned furthest to the right for Completeness of Vision, Grafana Labs supports over 25M users and 5,000+ customers.
Grafana Cloud delivers the full power of Grafana’s open and composable observability stack—without the overhead of managing infrastructure. As a fully managed SaaS offering from Grafana Labs, it unifies metrics, logs, and traces in one place, giving engineering teams real-time visibility into systems and applications. Built around the LGTM Stack—Loki for logs, Grafana for visualization, Tempo for traces, and Mimir for metrics—Grafana Cloud provides a scalable foundation for modern observability.
With built-in integrations for Kubernetes, cloud services, CI/CD pipelines, and OpenTelemetry, Grafana Cloud accelerates time to value while reducing operational complexity. Grafana Cloud also supports OLAP-style analytics through integrations with data warehouses and analytical engines like BigQuery, ClickHouse, and Druid—enabling multi-dimensional exploration across observability and business data. Teams gain access to powerful features like Adaptive Metrics for cost optimization, incident response workflows, and synthetic monitoring for performance testing—all within a secure, globally distributed platform. Whether you’re modernizing infrastructure, scaling observability, or driving SLO-based performance, Grafana Cloud delivers the insights you need—fast, flexible, and vendor-neutral.
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Resolver
Over 1,000 organizations worldwide depend on Resolver’s security, risk and compliance software. From healthcare and hospitals to academic institutions, and critical infrastructure organizations including airports, utilities, manufacturers, hospitality, technology, financial services and retail. For security and risk leaders who are looking for a new way to manage incidents and risks, Resolver will help you move from incidents to insights.
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BigPanda
All data sources, including topology, monitoring, change, and observation tools, are aggregated. BigPanda's Open Box Machine Learning will combine the data into a limited number of actionable insights. This allows incidents to be detected as they occur, before they become outages. Automatically identifying the root cause of problems can speed up incident and outage resolution. BigPanda identifies both root cause changes and infrastructure-related root causes. Rapidly resolve outages and incidents. BigPanda automates the incident response process, including ticketing, notification, tickets, incident triage, and war room creation. Integrating BigPanda and enterprise runbook automation tools will accelerate remediation. Every company's lifeblood is its applications and cloud services. Everyone is affected when there is an outage. BigPanda consolidates AIOps market leadership with $190M in funding and a $1.2B valuation
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Rootly
Rootly redefines incident management with a fully integrated, AI-powered platform designed to simplify and accelerate the entire reliability workflow. From intelligent on-call management to automated incident response and retrospectives, it eliminates repetitive tasks so engineers can focus on problem-solving. The platform’s AI SRE module performs real-time root cause analysis, suggests fixes, and predicts resolution steps based on millions of real-world incidents. Through seamless integrations with Slack, Microsoft Teams, Jira, and Zoom, Rootly embeds reliability directly into team workflows. Its automation engine streamlines communication, tracking, and reporting, cutting resolution times by up to 50%. Built for scalability, Rootly adapts to teams of any size—from startups to Fortune 500 enterprises—without sacrificing simplicity. Users can also publish automated status pages to keep customers informed and reduce inbound support. With award-winning support and reliability baked in, Rootly enables organizations to strengthen uptime, operational efficiency, and engineering wellness.
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