What is edge computing and how is it different from traditional cloud computing?
Edge computing is a distributed computing model that brings processing and data closer to where it is needed (i.e., near end users), rather than relying on a centralized data center. While traditional cloud computing often involves high-latency round trips to a centralized region/data center, an edge computing platform executes application logic orders of magnitude faster at distributed Points of Presence (POPs). This proximity significantly reduces latency, improves application performance, and optimizes bandwidth usage. the network edge, which reduces latency and improves performance.
What types of applications are best suited for an edge computing platform?
An edge computing platform is ideal for latency-sensitive, high-throughput workloads that require real-time processing. Key use cases include: Personalization, A/B testing, API acceleration, security enforcement, request routing, and real-time data processing. Fastly’s edge platform is particularly well-suited for applications that require precise control over request/response behavior, deterministic performance, and the ability to scale compute services globally without needing to manage infrastructure.
How does Fastly Compute support developers and engineering teams?
Fastly Compute provides a globally-distributed, fully programmable serverless environment that enables developers to build edge-native applications, APIs, authentication layers, and mission-critical edge functions. Developers build, test, and deploy code using familiar tools and languages like JavaScript, Rust, Go, and C++, and benefit from seamless integrations like GitHub Actions, Terraform, and other CI/CD workflows. Fastly Compute is also secure by design with built-in isolation technology. These services enable teams to ship logic globally in seconds while maintaining visibility and control across their edge service architecture.
How is Fastly’s edge platform different from other serverless solutions?
Fastly’s edge platform is powered by WebAssembly to offer superior performance and security compared to traditional container-based or isolate-based serverless solutions. By utilizing a secure isolation model, the platform executes code in a memory-safe sandbox for every individual request, ensuring strict tenant protection without the performance overhead of traditional virtualization. This architecture eliminates cold starts, allowing code to execute in microseconds and providing the deterministic performance required for mission-critical applications. Unlike generic serverless offerings, Fastly offers a fully programmable environment that scales globally without the need to manage regions, servers, or infrastructure capacity.
Can Fastly Compute be used alongside existing cloud or on-prem compute?
Yes. Fastly Compute is designed to complement existing cloud and on-prem compute environments. Many organizations use it as a front-line execution layer to offload logic, enforce policies, or optimize traffic before requests reach centralized compute services. This hybrid approach reduces load on origin infrastructure while improving end-user performance.
How does Fastly Compute scale globally?
Fastly Compute runs on a globally distributed network, allowing applications to scale automatically with traffic—without developers needing to manage regions, servers, or capacity planning. When you deploy code, it is available across Fastly’s entire fleet of high-performance POPs simultaneously. Because there are no regions to manage and no servers to provision, the platform scales horizontally to meet traffic spikes in real-time without manual intervention or performance degradation.
What level of control and observability does Fastly provide for edge compute workloads?
Fastly Compute provides developers with comprehensive programmatic control over the entire application lifecycle, coupled with real-time, granular observability. From a control perspective, the platform is designed for modern DevOps workflows, offering a robust CLI and Terraform provider that allow teams to manage environment variables, backends, and service configurations as code. This ensures that global deployments are predictable, repeatable, and easily integrated into existing CI/CD pipelines. To complement this control, Fastly offers unmatched observability through real-time log streaming to over 30 providers—including Datadog, Splunk, and S3—and provides request-level visibility into execution metrics such as CPU time and memory usage. This combination allows engineering teams to not only deploy complex logic with precision but also to debug and optimize performance.
Is Fastly Compute suitable for enterprise-scale production workloads?
Absolutely. Fastly Compute is built for enterprise-grade reliability, security, and performance. It’s used by organizations that require deterministic execution, strong isolation, and the ability to deploy logic globally with confidence. For CTOs and platform engineering leaders, it offers a scalable edge platform that aligns with modern distributed system architectures.
