Go & performance infrastructure

Companies that trusted Evil Martians with their Go:

Evil Martians run a concurrency and performance audit, provide embedded Go engineers, and scope builds like a broker migration.

Evil Martians method

Cluster operations belong to our platform engineering practice and Rails tuning to performance & scale. We take the Go: the services on your cluster, the pipelines feeding them, and the binaries your customers run. Teams hire us three ways: a concurrency and performance audit, an embedded Go engineer, or a scoped build like a broker migration.

Event pipelines and brokers: Kafka and NATS topologies, partitioning, consumer groups, exactly-once semantics, and analytics ingestion into ClickHouse.
Concurrency correctness: mutex and channel review, data races under -race in CI, goroutine leak detection, context cancellation that actually propagates.
Profiling and benchmarking: pprof, runtime/trace, allocation and GC tuning, and load tests on xk6-cable, our Go k6 extension.
Go CLIs and on-premise binaries: single-binary tools your customers run inside private networks, cross-compiled for every platform they use.

Throughput flattening out? Book a free 30-min call today.

Teleport

We have been Teleport’s partner since 2020, through a $1.1B valuation. We built their access plugin ecosystem in Go, shipping into gravitational/teleport-plugins with tests and enterprise install guides, and authored two more Go repositories in their organization.

Wallarm

Wallarm protects 20,000+ applications and APIs, and their traffic had outgrown the NATS pipeline carrying it. We moved the core event pipeline to Kafka in two months with zero outages: dozens of topics, roughly 30k RPS on the busiest one. Duplicate events had been corrupting their ClickHouse analytics, so we reached exactly-once semantics with materialized views tuned to filter duplicates without losing throughput.

More Go we shipped

NATS: the bottleneck sat in the Ruby SDK, where a thread per subscription starved the scheduler. A thread pool made it 3x faster under load.
Doximity: used by 80% of US physicians. We added Go-powered real-time features to their Rails monolith instead of rewriting it.
Keygen: Keygen Relay, an offline-first on-premise CLI server in Go for customers whose infrastructure never touches the cloud.
Photobucket: 35M+ monthly active users. We embedded a developer who shipped a Go feature on a deadline and left the team able to ship the next one.
GopherCon 2026: two Martian talks on finding concurrency bugs before production, one on a mutex linter, one on testing/synctest.