event · 01append-only
Immutable event log
Treat every state change as an append-only fact. Replay history to rebuild views, debug incidents, and bootstrap new consumers without touching the source system.
real-time messaging · v2026.5
Move data at the speed of the event — not the request.
QuickNotix is an event-driven architecture consultancy. We design, ship, and operate real-time messaging systems — Kafka pipelines, pub/sub fabrics, and reactive backends — so your product responds the moment something happens, anywhere.
- p99 latency
- <10ms
- uptime SLO
- 99.99%
- events/day
- 40B+
topology
Low-latency broker fabric
- Ingest API
- IoT Edge
- Market Feed
- Mobile SDK
- Risk Engine
- Analytics
- ML Scoring
- Audit Log
p99
7ms
throughput
1.2M/s
partitions
256
why event-driven
Requests wait. Events don't.
Traditional request/response architectures stall under bursty load, fan-out reads, and cross-system coordination. Event-driven systems decouple producers from consumers, smooth out spikes with durable logs, and turn every meaningful change into a first-class, replayable signal. QuickNotix specializes in getting teams from polling-and-praying to streaming-by-default — without the migration becoming a year-long science project.
event · 02resilient
Backpressure built-in
Durable brokers absorb spikes that would crater a synchronous API. Slow consumers fall behind safely instead of taking the whole pipeline down with them.
event · 03fan-out
Reactive fan-out
One produced event powers analytics, search indexing, ML scoring, alerting, and audit — in parallel, isolated, independently scalable.
event · 04guaranteed
Exactly-once semantics
Idempotent producers, transactional writes, and offset hygiene. We design for at-least-once delivery and exactly-once effects where it matters.
event · 05versioned
Schema evolution
Avro and Protobuf with a schema registry, compatibility rules, and contract testing so producers and consumers evolve without breakage.
event · 06observable
Observability first
Lag dashboards, partition heatmaps, dead-letter queues, and trace propagation through every hop — debuggable from day one, not retrofitted.
what we ship
A complete real-time stack — wired, tuned, and handed over.
We bring opinionated reference architectures and adapt them to your stack. Whether you're standing up your first Kafka cluster or migrating a creaking RabbitMQ deployment to a cloud-managed pub/sub, our engagements deliver running infrastructure, runbooks, and a team that knows how to operate it.
throughput
Messages per second · last 60m
live baseline
now
52k/s
p50
9ms
p99
24ms
errors
0.01%
Where teams plug us in
- Greenfield streaming platform on Kafka, MSK, or Confluent Cloud
- Pub/Sub fabric across GCP Pub/Sub, AWS SNS+SQS, Azure Event Hubs
- CDC pipelines from Postgres, MySQL, MongoDB into the event bus
- Stream processing with Flink, Kafka Streams, ksqlDB, Beam
- WebSocket / SSE delivery layer for end-user reactivity
- Pipeline audits, capacity planning, and incident postmortems
engagement
From audit to always-on, in four phases.
Every QuickNotix engagement is sized to deliver something running, not just documented. We start small — a focused audit or a single critical pipeline — then scale into platform ownership when the value is clear.
- phase 01
Audit
Two-week review of current topology, latency budgets, schema hygiene, and operational maturity. You leave with a prioritized roadmap.
- phase 02
Design
Reference topology, capacity plan, schema registry strategy, and SLOs. Stakeholders sign off before a line of infrastructure code ships.
- phase 03
Build
Infrastructure-as-code, producer and consumer scaffolding, observability stack, and runbooks. Built in your repos, in your cloud.
- phase 04
Operate
Optional on-call coverage, capacity reviews, and quarterly architecture sessions. We hand off when your team is ready — not before.
audit
Book a streaming readiness audit.
Tell us what you're running and where it hurts. We'll come back inside 48 hours with a scoped plan.