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Self-hosting real-time flag updates

If you are self-hosting Flagsmith, using real-time flag updates requires you to deploy additional infrastructure. This guide explains how to deploy, scale and monitor the infrastructure required for using real-time flags.

Prerequisites​

Real-time flag updates require an Enterprise subscription.

We assume you already have the Flagsmith API running on your infrastructure.

Infrastructure​

Real-time flags require additional infrastructure that your Flagsmith deployment will use:

  • Server-sent events (SSE) service containers, running the private [flagsmith/sse](https://hub.docker. com/repository/docker/flagsmith/sse) Docker image (version 4 or later). These serve the real-time endpoint that Flagsmith clients can connect to.
  • A NATS cluster with persistent storage, which guarantees at-least-once delivery for updates.

This diagram shows how all the components initiate connections to each other:

The task processor publishes to the SSE service instead of NATS to support a previous architecture for real-time flags that did not use NATS. We may add the option to have the task processor or Flagsmith API publish directly to NATS in the future.

How it works​

The following sequence diagram shows how a Flagsmith client application connects to the real-time updates stream and receives messages when the environment is updated:

SSE service​

The server-sent events (SSE) service provides the real-time API endpoints that Flagsmith clients connect to. Clients connect to any service instance and hold an HTTP connection open for as long as they want to receive updates over SSE.

This service also accepts HTTP requests from the Flagsmith task processor to get notified of environment updates. NATS is used as the messaging system to ensure these updates are distributed to clients.

Any SSE service instance can serve any client's request. Stateful or sticky sessions are not required.

HTTP/2 is recommended for client connections, especially if the clients are web browsers. h2c (HTTP/2 over plaintext TCP) is supported, but TLS is strongly recommended for performance and security.

NATS​

NATS persists a subject for each environment using a JetStream stream. SSE service instances subscribe and publish to these subjects and fan out the updates over SSE to the relevant connected clients.

Persistent storage is required to guarantee at-least-once delivery. In practice, this is very little storage as messages are small (~100 bytes) and persist in the stream for a short time.

While NATS can function without persistent storage, the SSE service requires it. This allows us to support use cases such as emergency circuit breakers with higher reliability than if we were using only Core NATS, and mitigates the impact of any SSE instance suddenly becoming unavailable.

What does "at-least-once delivery" mean exactly?

NATS provides an at-least-once delivery guarantee only for the SSE service. If NATS acknowledges a write, all SSE service instances with clients subscribed to that environment are guaranteed to eventually receive the update at least once. This guarantee does not extend to the clients of the SSE service.

Each SSE service instance creates one NATS consumer per connected client. Messages are acknowledged to NATS only if the SSE service was able to write out the response for that client over TCP. This does not guarantee that the client actually received the message, e.g. if intermediate proxies accept these messages but do not deliver them to clients.

Security​

Subscribing to real-time updates via the SSE service does not require authentication. The SSE service allows all CORS requests on all endpoints.

The task processor authenticates with the SSE service when publishing an update by using a shared secret. This secret is configured using the SSE_AUTHENTICATION_TOKEN environment variable. For example:

curl -X POST -H "Authorization: Token ..." -H "Content-Type: application/json" -d'{"updated_at":123}' http://localhost:8088/sse/environments/abcxyz/queue-change

In most cases, the /queue-change endpoint can be exposed only to the Flagsmith cluster and not client applications.

If NATS is not used by other applications and is not exposed to the network, the default security settings for NATS (allow publishing or subscribing to any subject without authentication) will be sufficient for most use cases. The SSE service only supports URL-based authentication for NATS.

One NATS subject is used per environment with the format flagsmith.environment.YOUR_ENVIRONMENT_ID.

JetStream only stores the last-update timestamp for each environment for a limited time, so encryption at rest is typically not required.

Performance and scaling​

The performance of real-time flags will depend mainly on these factors:

  • Where your clients are connecting to the SSE service from
  • How many clients are connecting to each SSE service instance
  • How many clients are being notified by any given environment update
  • How often environments with active subscribers are updated

Reliability​

If an environment was updated in the past hour, any client that subscribes to it using the SSE service will immediately receive the latest update timestamp. This means that SSE service instances can be replaced as needed without updates being lost, assuming client applications can reconnect.

All NATS subscriber and publisher state is persisted, so NATS nodes can also be replaced as needed without coordination. At least one healthy NATS node is required at all times.

The SSE service sends a keep-alive message every 15 seconds if nothing was sent to prevent load balancers, NAT gateways or other proxies from closing an inactive connection.

Latency​

The goal is to minimise end-to-end latency, which is the time taken between the Flagsmith API acknowledging an environment update, and a client getting notified of this update over SSE. Ignoring network delays, this will mainly depend on:

  • How often the task processor is polling the API for new tasks (by default 2 seconds)
  • How long the "environment updated" tasks take to execute (varies on task processor and database load)
  • How fast NATS can acknowledge the update (usually milliseconds)
  • How fast NATS can notify all relevant SSE instances (usually milliseconds)
  • How fast the SSE service can get updates from NATS and notify its subscribers (usually milliseconds, depending on load)

Storage​

The SSE service does not require persistent storage.

NATS stores a timestamp of when each environment was last updated. This timestamp is persisted for about an hour to allow updates to distribute while limiting resource usage. In-memory storage is preferred when possible, though some state is always persisted by JetStream such as Raft consensus data.

NATS persistent data does not need to be backed up. Solid-state storage might help end-to-end latency under high load but is typically not required.

Monitoring​

Make sure you are monitoring the task processor, as the SSE service depends on it.

The SSE service exposes two health check endpoints, which can be used for liveness and readiness checks:

  • GET /livez responds with 200 if the SSE service can accept incoming connections.
  • GET /readyz responds with 200 if the SSE service is available and connected to NATS. This only checks the internal NATS connection state and does not generate NATS traffic.

NATS provides its own tools for monitoring.

Metrics​

TODO: The following is not implemented!

The SSE service exposes the following Prometheus metrics at the /metricsz endpoint:

  • flagsmith_sse_subscribers: number of active subscribers
  • flagsmith_sse_subscribers_total: total number of subscribers
  • flagsmith_sse_http_errors_total, with labels message=keepalive|data|healthcheck
  • flagsmith_sse_http_writes_total, with labels message=keepalive|data|healthcheck
  • flagsmith_sse_nats_errors_total, with labels operation=connect|publish|create_jetstream|create_consumer|pull|read|ack

We provide a Grafana dashboard for these metrics.

NATS also provides a Grafana dashboard and can be configured to expose Prometheus metrics.

Benchmarking​

The SSE service is constrained by:

  • The number of open HTTP connections it can keep open at the same time (memory, sockets)
  • The number of subscribers that will receive a message after an update (CPU and network)

An 11-core M3 MacBook Pro with 18 GB of memory can support at least 15.000 concurrent subscribers with simultaneous publishing at ~1 second latency, constrained by the number of open sockets. This was tested with a k6 script that opens many subscriptions to one environment on the SSE service while pushing updates to that environment.

You can monitor the load test while it's running by connecting to the SSE service as another subscriber:

$ curl -H "Accept:text/event-stream" -N -i http://localhost:8088/sse/environments/load_test/stream
HTTP/1.1 200 OK
Cache-Control: no-cache
Connection: keep-alive
Content-Type: text/event-stream
Date: Mon, 09 Dec 2024 16:20:00 GMT
Transfer-Encoding: chunked

data: {"updated_at":1}

data: {"updated_at":2}

The queue-change endpoint can achieve at least 20.000 requests per second on the same hardware.

How to use it​

The flagsmith/sse service provides the following HTTP endpoints:

MethodRouteCalled byDescriptionAuthentication
GET/sse/environments/{environment}/streamClient applicationsSubscribe to an SSE stream for the given environment.None
POST/sse/environments/{environment}/queue-changeTask processorNotify the SSE service that the given environment was updated.SSE_AUTHENTICATION_TOKEN

The stream protocol is described in the documentation for real-time flag updates.

Configuration​

flagsmith/sse uses the following environment variables for configuration:

Variable nameDescriptionDefault
NATS_URLURL of any NATS nodenats://127.0.0.1:4222
LISTEN_ADDRAddresses to listen for HTTP connections on:8080
SSE_AUTHENTICATION_TOKENShared secret for authentication on the /queue-change endpointRequired