Architect for reliability from day one
We design the platform your product actually needs — network topology, node and validator architecture, security boundaries and capacity — so reliability is engineered in, not bolted on later.
We design, build and operate the infrastructure your product depends on — then run it to defined reliability targets, day and night.
Most reliability vendors assume the infrastructure already exists. We build it too — then take full accountability for keeping it up.
We design the platform your product actually needs — network topology, node and validator architecture, security boundaries and capacity — so reliability is engineered in, not bolted on later.
We stand up and codify the whole estate: cloud environments, blockchain nodes, validators and RPC endpoints, networking and secrets — all as infrastructure-as-code, reproducible and auditable.
We operate what we build against explicit SLOs — with observability, alerting, on-call and incident response — so uptime, latency and correctness are measured and defended, not hoped for.
We build for the workloads that can't afford to fail — high-throughput, always-on, and increasingly blockchain-native.
We run to service-level objectives and error budgets, not vanity dashboards. In blockchain, downtime means missed blocks, slashing and lost revenue — so uptime is treated as a first-class deliverable.
Infrastructure, nodes, validators and the platform around them are ours to build and run end-to-end. You get a working, monitored system — not a pile of scripts to staff and babysit.
Infrastructure-as-code and immutable, reproducible environments mean no snowflake servers, no undocumented manual steps, and clean handover if you ever want to bring it in-house.
Capacity planning, automated scaling and safe change management let the platform grow with demand and absorb protocol upgrades without drama.
“As reliable as possible” is not a target — it’s an unlimited budget with no owner. Everything we run carries the discipline set out in our Always On field guide.
Every service carries an explicit Service Level Objective and an error budget. Budget healthy? Ship fast. Budget burned? Reliability work takes over. The speed-versus-stability fight becomes a rule, not an argument.
Observability built on what users actually feel — latency, traffic, errors, saturation — with paging tied to user impact and a burning error budget, never to a disk hitting 80%.
Everything as code, nothing done twice by hand. Runbooks become automation, and every improvisation under pressure is folded back into the estate.
Symptom-based paging, incident command and blameless postmortems — every outage runs a real playbook, and every incident leaves the system permanently stronger.
Most managed operations stop at the runbook: operators watch dashboards and escalate when something unfamiliar happens. Our SREs are engineers — they script the fix, the exporter, the migration tool, on the fly — and then fold every improvisation back into the automated estate so it never has to be improvised again.
When the runbook runs out, operators escalate. Engineers ship the fix.
Targets are agreed per engagement and backed by SLOs, monitoring and on-call.
Tell us about the platform you're running — or the one you need built. We'll come back with a pragmatic plan to design, build and operate it to clear reliability targets.
From cloud platforms to blockchain nodes and validators — we build it, run it, and keep it reliable so your team can focus on the product.