Router Operations

This page covers day-2 operational topics for router deployments. For flags and tuning guidance, see Configuration and Tuning.

Serving Multiple Router Replicas

For improved fault tolerance, you can launch multiple frontend-plus-router replicas. If multiple dynamo.frontend processes share the same host or network namespace, give each instance a different HTTP port. In Kubernetes or on separate hosts, replicas can usually reuse the same container port. Alternatively, you can deploy the router separately as the standalone python -m dynamo.router service.

Dynamo-Native Remote Indexer

For Dynamo-native deployments, the remote indexer is served by dynamo.frontend or dynamo.router, not by dynamo.indexer.

• Use --serve-indexer on router or frontend replicas that should expose kv_indexer_query from the worker component.
• Use --use-remote-indexer on consumer routers or frontends that should query that served endpoint instead of maintaining a local overlap indexer.
• dynamo.indexer remains the standalone HTTP plus ZMQ microservice for non-Dynamo or direct-ZMQ deployments.

Frontend example:

$
# Serving anchors
$
python -m dynamo.frontend --router-mode kv --serve-indexer
$
$
# Consumer frontend
$
python -m dynamo.frontend --router-mode kv --use-remote-indexer

The served service is request-plane only. Each serving router or frontend keeps its normal local KV event ingestion, gap detection, and worker-query recovery path; remote consumers only issue hash-based overlap queries.

Approximate mode (--no-router-kv-events) is singleton-only for remote serving: only one --serve-indexer replica may exist for a given worker component. Event-driven mode allows multiple serving replicas behind the same worker component.

Router State Management

The KV router tracks two types of state:

1. Prefix blocks (cached KV blocks): Maintained in a radix tree, tracking which blocks are cached on each worker. This state is persistent. In local indexer mode, state is rebuilt from workers on startup. In JetStream mode (--router-durable-kv-events) it is backed by JetStream events and object store snapshots.
2. Active blocks (decoding blocks): Tracks blocks currently being used for active generation requests. This state is ephemeral. When a new router replica starts, it begins with zero active block knowledge but becomes eventually consistent as it handles requests.

For the architecture behind these states, see Router Design.

Enabling Router Replica Synchronization

$
# Router replica 1
$
python -m dynamo.frontend --router-mode kv --http-port 8000 --router-replica-sync
$
$
# Router replica 2
$
python -m dynamo.frontend --router-mode kv --http-port 8001 --router-replica-sync

The --router-replica-sync flag enables active block synchronization between replicas:

• Active blocks are shared via NATS core messaging.
• Replicas exchange routing decisions to maintain consistent load estimates.
• A new replica starts with zero active blocks but quickly converges through request handling and active syncing with other replicas.

Without this flag, each replica maintains its own isolated view of active blocks, which can lead to suboptimal routing.

Persistence and Recovery

Persistence behavior depends on the event transport mode.

NATS Core / Event Plane with Local Indexer Mode

• State persists on workers. Events are fire-and-forget, but workers retain their local indexer state.
• On startup, the router queries each worker’s local indexer to rebuild state.
• Recovery depends on workers being available. If a worker is down, its blocks cannot be recovered.
• This mode keeps the infrastructure simpler because JetStream is not required.

For more on gap detection and replay, see KV Event Replay — Dynamo vs vLLM.

JetStream Mode

JetStream mode requires --router-durable-kv-events on both frontend and workers.

• Prefix blocks are stored in NATS JetStream with 1-hour retention.
• Snapshots are saved to NATS object store at configurable thresholds.
• New replicas automatically restore this state on startup.
• You can launch a third router replica even if the first two are down, and it will recover the full prefix state.

$
python -m dynamo.frontend --router-mode kv --http-port 8002 --router-replica-sync

Additional Notes

State persistence depends on the event transport mode:

• NATS Core / event plane mode: State persists on workers, and the router rebuilds state by querying workers on startup.
• JetStream mode: State persists across router restarts via JetStream and NATS object store snapshots.
• No KV events (--no-router-kv-events): State persistence is not supported.

Request-plane transport is independent of KV event transport. The request plane (DYN_REQUEST_PLANE or --request-plane) controls how requests reach workers. KV events use NATS in JetStream or NATS Core modes, or ZMQ when --event-plane zmq is set. With --event-plane zmq and --discovery-backend file or mem, the router can run without etcd or NATS. When using a NATS-based event plane, NATS is initialized automatically; set NATS_SERVER=nats://... to override the default localhost:4222.

When --router-kv-overlap-score-weight is set to 0, no KV indexer is created and prefix matching is disabled. When --no-router-kv-events is set, a KV indexer is still created but no event subscriber is launched; the router predicts cache state from its own routing decisions with TTL-based expiration.

Backend KV event publishing is independent of the frontend’s --no-router-kv-events flag. The frontend flag controls whether the router consumes events; backend flags control whether workers publish them. If the router is not consuming events, workers that still publish will waste resources but cause no harm.

• vLLM: Pass --kv-events-config '{"enable_kv_cache_events": false}' to disable, or '{"enable_kv_cache_events": true, "publisher": "zmq", "endpoint": "tcp://*:5557"}' to enable.
• SGLang: Pass --kv-events-config with a JSON config to enable, or omit it to keep publishing disabled.
• TRT-LLM: Pass --publish-events-and-metrics to enable, or omit it to keep publishing disabled.

The CLI arg --router-ttl-secs controls local cache prediction lifetime when the router operates without receiving events from workers. When workers are configured to publish KV events, the router relies on worker-side eviction events and this parameter is ignored.

--router-queue-threshold and the busy thresholds (--active-decode-blocks-threshold, --active-prefill-tokens-threshold, --active-prefill-tokens-threshold-frac) serve different purposes. Busy thresholds reject a worker entirely from the candidate set when it exceeds a utilization limit. In contrast, --router-queue-threshold defers the entire routing decision until at least one worker has capacity, so the request is routed with the freshest load metrics. The busy thresholds can be updated at runtime without restarting the frontend via the /busy_threshold HTTP endpoint. For details, see Request Rejection.