List of Grafana Cloud Profiles Customers
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Since 2010, our global team of researchers has been studying Grafana Cloud Profiles customers around the world, aggregating massive amounts of data points that form the basis of our forecast assumptions and perhaps the rise and fall of certain vendors and their products on a quarterly basis.
Each quarter our research team identifies companies that have purchased Grafana Cloud Profiles for Application Performance Management from public (Press Releases, Customer References, Testimonials, Case Studies and Success Stories) and proprietary sources, including the customer size, industry, location, implementation status, partner involvement, LOB Key Stakeholders and related IT decision-makers contact details.
Companies using Grafana Cloud Profiles for Application Performance Management include: Booking.com, a Netherlands based Professional Services organisation with 6500 employees and revenues of $2.06 billion, Zomato, a India based Leisure and Hospitality organisation with 4440 employees and revenues of $1.40 billion, Alpaca, a United States based Banking and Financial Services organisation with 281 employees and revenues of $66.0 million and many others.
Contact us if you need a completed and verified list of companies using Grafana Cloud Profiles, including the breakdown by industry (21 Verticals), Geography (Region, Country, State, City), Company Size (Revenue, Employees, Asset) and related IT Decision Makers, Key Stakeholders, business and technology executives responsible for the software purchases.
The Grafana Cloud Profiles customer wins are being incorporated in our Enterprise Applications Buyer Insight and Technographics Customer Database which has over 100 data fields that detail company usage of software systems and their digital transformation initiatives. Apps Run The World wants to become your No. 1 technographic data source!
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| Logo | Customer | Industry | Empl. | Revenue | Country | Vendor | Application | Category | When | SI | Insight |
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Alpaca | Banking and Financial Services | 281 | $66M | United States | Grafana Labs | Grafana Cloud Profiles | Application Performance Management | 2023 | n/a |
In 2023, Alpaca implemented Grafana Cloud Profiles to continuously profile its high-throughput, low-latency trading applications. The deployment positioned Grafana Cloud Profiles within an Application Performance Management workflow to capture code-level CPU and memory profiles and link those profiles to existing observability signals.
The implementation instruments application services for continuous sampling of CPU and memory usage and stores profiling data alongside metrics and traces, surfacing profiling visualizations and code-level context directly inside Grafana dashboards. Grafana Cloud Profiles was configured to correlate profile events with metrics and distributed traces to accelerate root-cause analysis.
The United States based deployment integrated profiling data with Alpaca's metrics and tracing pipelines so developers and SREs can pivot from a metric or trace to a code-level profile. Operational coverage prioritized trading application components where low latency and high throughput are business critical, aligning profiling with real-time observability.
Rollout emphasized embedding actionable profiling insights into Grafana dashboards used by engineering and operations teams, updating diagnostics workflows to include code-level investigation as a first step. The integration of Grafana Cloud Profiles improved application performance and scalability by surfacing actionable profiling insights directly inside Grafana dashboards, enabling faster root-cause analysis.
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Booking.com | Professional Services | 6500 | $2.1B | Netherlands | Grafana Labs | Grafana Cloud Profiles | Application Performance Management | 2024 | n/a |
In 2024, Booking.com implemented Grafana Cloud Profiles as part of a migration to Grafana Cloud to gain real-time visibility into application performance across multi-cloud and hybrid environments. The Netherlands-based deployment centralized telemetry and added profile-level insights, reinforcing Application Performance Management across the company’s service portfolio.
Grafana Cloud Profiles was configured to collect profile-level telemetry and correlate performance data with application components, enabling consolidated dashboards and profiling views for SRE and observability teams. Operational coverage targeted multi-cloud and hybrid application stacks managed from the Netherlands, with a rollout that centralized observability, standardized profiling workflows, and aligned monitoring with customer experience and application performance monitoring goals.
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Zomato | Leisure and Hospitality | 4440 | $1.4B | India | Grafana Labs | Grafana Cloud Profiles | Application Performance Management | 2023 | n/a |
In 2023, Zomato implemented Grafana Cloud Profiles to identify and address complex production issues in its delivery platform. Zomato implemented Grafana Cloud Profiles as an Application Performance Management solution across its India based operations to improve observability and debugging of delivery services.
Grafana Cloud Profiles provided continuous profiling to capture CPU and memory footprints and to correlate profiling data with logs and metrics, enabling engineers to pinpoint memory and CPU inefficiencies. The implementation emphasized continuous profiling capabilities, profiling data aggregation, and correlation workflows that link stack traces to time series metrics and log events. Configuration prioritized low overhead profiling and integration with existing observability streams to preserve production performance.
The India based deployment covered Zomato delivery platform services and was instrumented across core microservices and background workers to surface hotspots during peak order volumes. Operational adoption focused on standardized profiling instrumentation and correlation workflows used by site reliability engineering and engineering teams to accelerate diagnosis. The deployment helped reduce time to diagnose incidents and maintain consistent service quality during high demand delivery periods.
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