Best Function as a Service (FaaS) Providers for Grafana

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Compare the Top Function as a Service (FaaS) Providers that integrate with Grafana as of August 2025

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This a list of Function as a Service (FaaS) providers that integrate with Grafana. Use the filters on the left to add additional filters for products that have integrations with Grafana. View the products that work with Grafana in the table below.

What are Function as a Service (FaaS) Providers for Grafana?

Function as a Service (FaaS) providers are cloud computing services that allow developers to execute small units of code, or functions, in response to events without managing the underlying infrastructure. These providers offer a serverless architecture where the scaling, monitoring, and management of infrastructure are handled automatically, allowing developers to focus on writing code. FaaS platforms typically charge based on the number of executions and the duration of the function, making it a cost-efficient option for event-driven applications, microservices, and real-time data processing. Compare and read user reviews of the best Function as a Service (FaaS) providers for Grafana currently available using the table below. This list is updated regularly.

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    NVIDIA Cloud Functions
    NVIDIA Cloud Functions (NVCF) is a serverless API designed to deploy and manage AI workloads on GPUs, providing security, scalability, and reliability. It supports HTTP polling, HTTP streaming, and gRPC protocols for accessing workloads. Cloud Functions is primarily suited for shorter-running, preemptable workloads such as inferencing and fine-tuning. It supports two function types: "Container" and "Helm Chart", allowing users to define functions based on their specific requirements. Workloads are ephemeral and preemptable, so users should ensure they save their work appropriately. Models, containers, helm charts, and additional resources are hosted and pulled from the NGC Private Registry. To get started, users can follow the functions quickstart guide, which provides an end-to-end workflow for creating and deploying a container-based function using the fastapi_echo_sample container.
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