
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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Boozang
It works: Codeless testing
Give your entire team the ability to create and maintain automated tests. Not just developers.
Meet your testing demands fast. You can get full coverage of your tests in days and not months.
Our natural-language tests are very resistant to code changes. Our AI will quickly repair any test failures.
Continuous Testing is a key component of Agile/DevOps. Push features to production in the same day.
Boozang supports the following test approaches:
- Codeless Record/Replay interface
- BDD / Cucumber
- API testing
- Model-based testing
- HTML Canvas testing
The following features makes your testing a breeze
- In-browser console debugging
- Screenshots to show where test fails
- Integrate to any CI server
- Test with unlimited parallel workers to speed up tests
- Root-cause analysis reports
- Trend reports to track failures and performance over time
- Test management integration (Xray / Jira)
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Muse Code
Muse Code is a beta terminal coding agent from Meta designed to help developers complete complex software engineering work across large codebases. Powered by Muse Spark 1.2, the agent can plan repository changes, write code, run validation steps, and coordinate persistent subagents for difficult development tasks. Muse Code uses a simple main agent loop supported by async background agents that remain active throughout each session. These background agents can gather information, carry out next steps, and decide when to report back to the main agent, reducing latency and unnecessary user steering. The runtime is built around a local event log where every model call, tool run, approval, and edit is appended. This event log makes Muse Code replay-exact and restart-safe, allowing it to resume from the point of failure after a crash. Muse Code also ships with default skills, including /plan, /grill, and /goal, to support structured planning, plan validation, and objective completion. It can be installed on macOS or Linux and is integrated with Meta’s AI developer ecosystem. By combining terminal-based coding, persistent subagents, replay-safe execution, bundled skills, and Muse Spark 1.2, Muse Code helps developers automate larger and longer software engineering workflows.
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