Sub-100ms Routing Latency

Why latency matters for messaging

Chat is fundamentally a synchronous medium — users expect replies in seconds, not minutes. When a message bridge introduces more than 1 second of visible delay, it breaks the conversational rhythm. A Slack user sends a question; the Teams recipient sees it 3 seconds later. By that point, the Slack user may have already sent a follow-up, or assumed the message was lost. At scale — thousands of messages per hour across an enterprise — high latency bridges cause tangible productivity loss and user abandonment. SyncRivo's routing layer is engineered to keep message delivery invisible.

Our architecture

The key architectural decision is webhook push over polling. Polling-based integrations introduce latency proportional to their polling interval — a 5-second poll means messages can arrive up to 5 seconds late. SyncRivo uses native webhook APIs on all 5 supported platforms. Events are pushed to SyncRivo the instant a message is sent — no polling delay.

The routing engine itself is stateless: no database read occurs on the message hot path. Routing configuration is cached in memory at startup. Each message event resolves its routing rules and destination API credentials from in-memory structures, transforms the payload, and fires the outbound API call — all within a single async execution context.

See our live latency data on the message latency benchmark page.

Latency data

Routing layer latency measured from webhook receipt to outbound API call. End-to-end includes source and destination platform API processing. Data from US East region.

What makes it fast

• No polling delays — native webhook push only
• Stateless routing engine — no DB read on hot path
• Multi-region deployment (US East, EU West, APAC)
• Native webhook APIs only — no third-party relay

How Sub-100ms Routing works in SyncRivo

Event ingestion and edge termination

Inbound webhook requests from Slack Events API, Microsoft Bot Framework, Google Chat Pub/Sub, Zoom Webhook Events, and Webex webhooks terminate TLS 1.3 at regional edge nodes (US, EU, APAC) within 2ms of arrival. Each payload is HMAC-verified against the platform's signing secret and stamped with an idempotency key of (source_platform, channel_id, message_ts). Verified events enter an in-memory dispatcher with per-channel partitioning so a single channel's message order is preserved while cross-channel events process in parallel across worker cores.

Stateless routing and transformation hot path

Routing configuration, identity mappings, and bot credentials are warm-cached in memory at process boot from the tenant's encrypted secrets store. The hot path — parse payload, resolve routing rule, transform markup to destination format, issue outbound API call — runs in a single async execution context with zero database round-trips. Transformation layers (Slack Blocks to Teams Adaptive Card, markdown to Webex rich text, emoji shortcode normalization) are compiled once per tenant config version and replayed on every event, so rule evaluation adds under 1ms of latency.

Delivery guarantees and tail-latency control

Outbound delivery uses persistent HTTP/2 client pools per destination platform with TCP keep-alive, saving the TLS handshake cost on every call. Each request carries an idempotency header so platform-side retries are safe. Circuit breakers detect P99 latency regressions on a per-destination basis and shift traffic to healthy replicas. Tail latency (P999) stays under 250ms at the routing layer because slow outbound calls are bounded by a hard 2-second budget, after which the event moves to the retry queue with exponential backoff — preserving the sub-100ms SLO for the fast-path majority.

Platform-specific behavior

Here is how Sub-100ms Routing behaves across each messaging platform we support. Latency characteristics differ because each platform exposes different webhook delivery semantics and native API response times.