SYSTEM ONLINE · v2.0.0

Building
Complex Systems
that actually work.

We architect, build, and operate distributed systems at scale — from event-driven microservices to real-time data pipelines. No black boxes. No magic. Just solid engineering.

tenos ~ deploy

$ tenos deploy --env stage

▶ Building containers...

▶ Running health checks...

▶ Routing traffic (0 downtime)...

✓ Deployed in 12.3s

// PRINCIPLES

How we think about systems

01

Explicit over implicit

Every contract, boundary, and dependency is documented and enforced. We don't rely on tribal knowledge or runtime discovery.

02

Fail fast, recover faster

Systems fail. We design for graceful degradation, automatic recovery, and observability that surfaces issues before users see them.

03

Complexity is managed, not avoided

Big problems are complex. We isolate that complexity into well-defined modules, keeping the surface area humans must understand small.

04

Observability is not optional

Logs, metrics, and traces are first-class outputs. You can't fix what you can't see — so we build visibility in from day one.

05

Data consistency matters

We choose the right consistency model for each context — strong when correctness demands it, eventual when scale requires it.

06

Automate the boring parts

Deployments, testing, scaling, rollbacks — if humans are doing it manually and repeatedly, we automate it away so they can focus on hard problems.

// STACK

Battle-tested technologies

We don't chase trends. We use tools that solve real problems at real scale.

INFRASTRUCTURE
container runtime
Docker / Podman
orchestration
Kubernetes
edge / tunnels
Cloudflare
IaC
Terraform
BACKEND
primary language
Go / Rust
messaging
Kafka / NATS
databases
Postgres / Redis
search
Meilisearch
OBSERVABILITY
metrics
Prometheus
visualization
Grafana
tracing
OpenTelemetry
logs
Loki / Grafana

// APPROACH

How we work

1

Understand the system, not just the feature

Before writing a single line of code, we map out data flows, failure modes, and scaling bottlenecks. Complex systems fail at the boundaries — we find them first.

2

Incremental delivery, continuous validation

We ship working software in small slices. Each increment is tested, observed, and validated in production before we move on. No big-bang releases.

3

Automate operations from the start

CI/CD, automated rollbacks, self-healing services — we invest in operational automation early so the system can run itself as it grows.

4

Leave the codebase better than we found it

Documentation, runbooks, architecture decision records. When we're done, your team owns the system — not just the code.

// CONTACT

Got a complex problem?

We like hard problems. Tell us what you're building and let's figure out if we can help.

[email protected]