Architecture That Matches
Your Stage and Risk
For teams making a decision they cannot easily reverse. Stack picks, platform migrations, monolith splits, cloud patterns, observability. Senior architect in the room before the choice, not after. Backed by real work building production systems from embedded ECUs to cloud platforms to AI services.
Why Companies Call Us for Architecture
You are about to pick a framework, a database, a cloud, a deployment model. A wrong call locks in a year of work. You want a senior person in the room.
You are debating whether to split your monolith. Most teams split too early. Some split too late. We help you tell which one you are.
The architecture worked at one user count, broke at the next. Refactor, rebuild, or scale through it? Tradeoffs you want priced before you commit.
Outages take hours to debug because nobody can see what is happening. Logs are scattered, metrics are sparse, traces do not exist. Observability done right fixes this.
PE deal team or strategic buyer wanting a real read on the target architecture beyond what the data room shows. Same shape as our AI Diligence, broader scope.
Took over engineering and want an independent view of what you inherited. What is fine, what to fix first, what to leave alone.
Two Ways We Engage on Architecture
A deep dive review, or a focused observability build-out.
Architecture & Security Review
Two to three week deep dive into your platform. Architecture mapping, security assessment, threat modeling, compliance gap analysis. Written findings with ranked priorities and a defensible roadmap.
- →Current state architecture diagrams
- →Threat model and risk register
- →Prioritized remediation roadmap
- →Executive summary for leadership
Observability Setup
Full-stack observability built on production patterns. Prometheus, Grafana, Loki, Tempo, OpenTelemetry, cAdvisor, Node Exporter. The same stack we have deployed across embedded edge devices and cloud microservices.
- →Metrics, logs, and traces unified
- →Dashboards your on-call team actually uses
- →Alerts that fire before users notice
- →Infrastructure as code, ready to extend
Deeper Reading on the Architecture We Believe In
Six deeper writeups on how we think about architecture. Useful before or after a review engagement.
Architecture Strategy
Choose the right architecture for your stage and where you will be in 12-36 months.
Secure-by-Design
Embed security at every layer: identity, infrastructure, pipelines, runtime.
Cloud Security
AWS, Azure, and GCP secured with native services and proven patterns.
Risk & Threat Modeling
Know where you are exposed before attackers do.
Compliance-Ready Design
Build audit-ready systems by default. GDPR, SOC 2, SOX without slowing teams.
Platform Integration
APIs, data flows, and third-party systems designed safely from the start.
Why This Works
Architecture across the stack
Embedded automotive ECUs to cloud platforms to AI services. The architecture instincts transfer because the principles do. Most reviewers have one layer of experience.
Led architecture on every program
Designed zero-trust provisioning pipelines, IoT edge platforms, security automation at scale. Every program ran security and observability inside the architecture.
Honest about over-engineering
Most architecture problems are not "we need microservices." Most are scope, ownership, or boundary problems. We say so when that is the case.
Got a decision coming up you cannot easily undo?
Thirty-minute call. We figure out whether a review, an observability build, or something else fits the situation.