services
Six engagements that cover the lifecycle of a real-time messaging system. Start anywhere; we can size each one to a two-week sprint or a multi-quarter program.
Cluster topology, partition strategy, replication factor, and broker sizing tuned for your throughput and retention targets. We design for the failure modes most teams discover the hard way — under-replicated partitions, unbalanced leaders, expired offsets — and bake them into the runbook on day one.
Producers and consumers built for at-least-once delivery, exactly-once effects, and graceful degradation. We ship reference clients in your language of choice, plus the schema registry, contract tests, and CI gates that keep producers and consumers from drifting apart.
Cloud-native messaging across GCP Pub/Sub, AWS SNS+SQS, and Azure Event Hubs — with the cross-cloud patterns and adapters needed when one product spans multiple providers. Useful when Kafka is overkill and you want managed fan-out without operating a cluster.
WebSocket and Server-Sent Events gateways that turn your event bus into end-user reactivity. Authenticated channels, presence, fan-out at the edge, and graceful reconnection — the part most teams underestimate.
Change-data-capture pipelines from Postgres, MySQL, and MongoDB straight into the event bus, with schema evolution, snapshot bootstrapping, and reprocessing strategies that don't melt the source database.
Already running streaming infrastructure? We come in for a focused two-week review of topology, schema hygiene, consumer health, and operational maturity, and leave you with a prioritized fix list and a clear capacity plan.
reference topology
The diagrams below describe a topology we ship variants of regularly — producers on the left, a durable low-latency broker fabric in the middle, and a fan-out of independently scalable consumers on the right. Every arrow is observable, replayable, and versioned.
topology
p99
7ms
throughput
1.2M/s
partitions
256
how we ship
Terraform, Pulumi, or your existing IaC stack — we don't ship clusters you can't recreate from a repo.
Prometheus exporters, Grafana dashboards, and alert rules tuned for the SLOs we agreed on, not vendor defaults.
Every alert maps to a runbook. Every runbook has been tested against a real incident — usually a simulated one we ran with your team.
Avro or Protobuf with compatibility rules, contract tests in CI, and producer/consumer SDKs ready to import.
A living spreadsheet that maps message volume, retention, and replication to cluster cost. No more 'we'll figure it out at scale.'
Pairing sessions, architecture decision records, and a clear ownership map so your team can run the system the day we leave.
get started
