Netflix Architecture Overview
Netflix's architecture through clients, edge services, data platforms, and content delivery.
Netflix's architecture is easiest to understand as several layered systems working together: client applications, an API and edge layer, a large backend service estate, specialised data platforms, and a separate content delivery network for the actual video bytes.
At the client layer, Netflix supports a wide range of devices, from mobile apps to web browsers to TVs and game consoles. That device diversity drives many architectural choices. The platform cannot assume one rendering model, one network profile, or one release cadence. Native mobile clients often use Swift and Kotlin, while the web stack has long relied on React. The important point is not the language list. It is that the product surface is fragmented, so the backend must present stable, device-aware interfaces.
Between clients and backend services sits an edge and API aggregation layer. Netflix has been associated with Zuul for edge routing and request filtering, and GraphQL is used in parts of the stack where clients benefit from requesting precisely shaped data. This layer handles cross-cutting concerns such as authentication, routing, and response composition, which helps keep device clients simpler.
Behind that edge is a large microservice estate, much of it JVM-based and heavily integrated with service discovery and resilience tooling such as Eureka and other Netflix OSS patterns. At this layer, no single service owns the entire user experience. Playback, recommendations, billing, search, personalisation, and account state are all handled by specialised components. This creates flexibility and team autonomy, but it also makes observability, fault isolation, and rollout discipline essential.
The data layer is deliberately polyglot. Cassandra, EVCache, CockroachDB, relational databases, and analytical platforms exist because metadata, user state, billing, and operational telemetry all have different access patterns and consistency needs. Messaging and streaming technologies such as Kafka and Flink support asynchronous pipelines, event processing, and large-scale data movement.
The actual video path is separate enough to deserve its own layer. Netflix stores content in cloud object storage and serves it globally through Open Connect, its dedicated content delivery network. This is a critical distinction. The control plane that decides what a user should see is not the same thing as the data plane that delivers high-bitrate video reliably across regions and ISPs.
Around all of this sits a strong delivery and operations system: build tooling, progressive deployment, monitoring, alerting, and incident management. At Netflix scale, the architecture would be unusable without these platform capabilities.
So the overall design is not one giant diagram with every component connected to every other. It is a layered platform where API composition, specialised services, workload-specific data stores, and global media delivery each solve a different part of the streaming problem.