SteerScale Discuss your system

SVC-02 · Backend & Distributed Systems

Distributed systems that behave predictably under real load.

APIs, event-driven architectures and high-throughput services, built and operated by an engineer who has run them at 16 million concurrent users and 80K writes per second.

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Capabilities

Backend engineering for systems with real traffic.

  • 01

    APIs & services

    Java, Kotlin and Scala services on Spring, WebFlux, Quarkus and Akka. Contracts, versioning, backpressure and idempotency handled deliberately.

  • 02

    Event-driven architecture

    Kafka topics, partitions, ordering guarantees, consumer groups, exactly-once semantics where they are worth their cost.

  • 03

    Data stores under load

    Cassandra, Redis, PostgreSQL, Couchbase and DynamoDB — data modelling for the access pattern, not the ORM.

  • 04

    Concurrency & throughput

    Thread and connection pools, queue depth, timeouts, circuit breakers and retry budgets sized from measurements.

  • 05

    Failure domains

    Bulkheads, graceful degradation, multi-region behaviour and recovery paths tested before an incident tests them for you.

  • 06

    Performance engineering

    Load tests, profiling, GC tuning and capacity models, with results your team can rerun.

Working stack

What we reach for, day to day.

Model calls increasingly live inside these systems. That is why the AI Systems Audit looks at queues, state and concurrency alongside prompts and models.

LANGUAGES
Java · Kotlin · Scala · Python · TypeScript
FRAMEWORKS
Spring Boot · WebFlux · Quarkus · Akka · FastAPI
MESSAGING
Kafka · RabbitMQ · REST · WebSocket
DATA
Cassandra · Couchbase · PostgreSQL · Redis · DynamoDB · Elasticsearch

Have a service that behaves differently at 10× load?

Short engagements, written proposals, real code in your repository.

Discuss your system