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Ratings and Reviews 0 Ratings
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Grafana CloudGrafana Labs provides 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, delivering full-stack visibility across modern applications, infrastructure, and digital services. Built on open source, open standards, and open ecosystems, the platform unifies metrics, logs, traces, and profiles into a scalable observability experience that helps teams detect issues earlier, resolve incidents faster, and operate more efficiently. At the core of Grafana Cloud is the open-source LGTM stack: Grafana for dashboards and visualization, Mimir for scalable metrics, Loki for logs, and Tempo for distributed tracing. Native OpenTelemetry and Prometheus support make it easy to collect telemetry from any environment, while hundreds of integrations connect existing systems and tools—allowing organizations to extend observability without vendor lock-in. Grafana Cloud also introduces powerful AI-driven observability capabilities. Grafana Assistant helps teams explore data, investigate incidents, and troubleshoot faster through an intelligent interface built for engineers. Adaptive Telemetry identifies high-value signals and aggregates the rest, helping organizations reduce telemetry costs while maintaining operational insight. With solutions spanning Kubernetes monitoring, application and infrastructure observability, frontend monitoring, database observability, incident response, synthetic monitoring, and performance testing, Grafana Cloud delivers the clarity teams need to move faster and operate with confidence.
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StackPilot redefines oncall operations by automating the path from error alerts to working fixes. Purpose-built for modern engineering teams, it integrates seamlessly with observability stacks like Datadog, New Relic, Grafana, and Sentry while connecting to CI/CD pipelines in GitHub, GitLab, and Bitbucket. Once an alert is triggered, StackPilot correlates logs, stack traces, and code history to quickly isolate the problematic code. Within minutes, it drafts a pull request with an intelligent fix proposal, leaving final approval to engineers. This automation reduces MTTR from the industry norm of two or more hours to as little as 15 minutes. Alongside incident resolution, StackPilot automatically compiles detailed timelines and transforms investigative actions into repeatable playbooks, strengthening operational resilience over time. Its flexible plans—from free trials for individuals to enterprise-grade deployments with custom integrations and compliance features—make it accessible for teams of all sizes. Engineers benefit from features like log query autocomplete, real-time communication integrations with Slack or Teams, and secure, privacy-first analysis where no code or logs are retained. Over 100 engineers and companies already rely on StackPilot, with more than 1,000 bugs fixed automatically. By combining speed, intelligence, and trust, StackPilot positions itself as a must-have oncall copilot for engineering teams seeking reliability and efficiency.
What is Qevlar AI?
Qevlar AI introduces a groundbreaking autonomous solution for Security Operations Centers (SOC), revolutionizing how cybersecurity teams manage threat investigation and response by fully automating the alert analysis workflow. Unlike traditional tools or AI assistants that require human involvement or predefined playbooks, this system independently scrutinizes alerts as soon as they arrive, aggregating and enriching data from various security instruments and external sources to evaluate the true essence of each alert. It skillfully correlates and assesses signals across multiple platforms, reconstructing attack patterns and providing a holistic insight into incidents, thereby enabling teams to move beyond fragmented workflows and reactive alert handling. By leveraging sophisticated agentic AI, the platform automates numerous facets of manual investigations, resulting in significant decreases in response times, improved consistency, and enhanced operational capabilities for security teams without the need for additional hires. This advancement not only streamlines workflows but also bolsters the overall efficacy of cybersecurity measures, ensuring that teams are more adept at addressing the continuously evolving landscape of threats. Ultimately, Qevlar AI empowers organizations to stay ahead of potential security risks by transforming how they interpret and respond to alerts.
Media
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Integrations Supported
AWS CloudTrail
Amazon GuardDuty
Big Data Cloud API
Cortex XDR
Cortex XSIAM
Fortinet
Google Cloud Platform
Google Security Operations (SecOps)
IPInfoDB
Joe Sandbox
Integrations Supported
AWS CloudTrail
Amazon GuardDuty
Big Data Cloud API
Cortex XDR
Cortex XSIAM
Fortinet
Google Cloud Platform
Google Security Operations (SecOps)
IPInfoDB
Joe Sandbox
API Availability
Has API
API Availability
Has API
Pricing Information
Free
Free Trial Offered?
Free Version
Pricing Information
Pricing not provided.
Free Trial Offered?
Free Version
Supported Platforms
SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux
Supported Platforms
SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux
Customer Service / Support
Standard Support
24 Hour Support
Web-Based Support
Customer Service / Support
Standard Support
24 Hour Support
Web-Based Support
Training Options
Documentation Hub
Webinars
Online Training
On-Site Training
Training Options
Documentation Hub
Webinars
Online Training
On-Site Training
Company Facts
Organization Name
StackPilot
Date Founded
2025
Company Website
www.stack-pilot.com
Company Facts
Organization Name
Qevlar AI
Date Founded
2023
Company Location
France
Company Website
www.qevlar.com