Architecture design that thinks about what you might've missed Describe your system, get a full architecture diagram generated by AI.
Most architecture reviews catch what you did. This one catches what you forgot.
Every dimension of your architecture, covered.
We review 37 architectural pillars and show you exactly where your design stands — and how we make it stronger.
Compute & Hosting Strategy
We evaluate your compute tier against traffic patterns, burst requirements, and cost efficiency — recommending serverless, container-based, or VM-backed approaches based on your actual workload profile.
Scalability & Elasticity
We model your growth curves and design horizontal scaling paths, auto-scaling triggers, and queue-based load levelling so you never hit a hard ceiling under traffic spikes.
High Availability
We identify every single point of failure in your topology and prescribe multi-zone deployments, health-check strategies, and failover routing to keep you above your uptime SLA.
Disaster Recovery & Business Continuity
We define concrete RTO and RPO targets, design multi-region replication, and build runbooks so that when something does go wrong, your team knows exactly what to do within minutes.
Security (IAM, Network, Data)
We apply zero-trust principles across your IAM model, network segmentation, secrets management, and data encryption — surfacing misconfigurations before they become breaches.
Data Storage & Management
We match your data shapes to the right storage engines — relational, document, time-series, or object — and design retention, archival, and query optimization strategies from day one.
Networking & Connectivity
We design your VPC layout, subnet strategy, peering, and private link topology so traffic stays fast, isolated, and cost-effective without becoming a maintenance nightmare.
Performance & Latency Optimization
We profile your critical request paths, identify latency hotspots, and prescribe caching layers, connection pooling, and async processing patterns to hit your p99 targets.
Cost Optimization (FinOps)
We analyse your cloud spend allocation, flag idle and over-provisioned resources, and recommend reserved capacity, spot usage, and right-sizing to cut waste without sacrificing performance.
Observability (Monitoring, Logging, Tracing)
We wire up the three pillars — metrics, logs, and distributed traces — so you can diagnose any incident from a single pane of glass with full context and fast MTTR.
Reliability & Fault Tolerance
We model failure modes across every service boundary and design circuit breakers, retries with back-off, bulkheads, and graceful degradation so partial failures stay partial.
Compliance & Governance
We map your architecture against the regulatory frameworks you operate in — SOC 2, GDPR, HIPAA, PCI DSS — and identify the controls and documentation required for each.
CI/CD & Deployment Pipeline
We design your delivery pipeline — test gating, environment promotion, canary and blue-green deployment strategies — so releases are fast, safe, and fully automated.
Infrastructure as Code (IaC)
We define your infrastructure declaratively — Terraform, Pulumi, or CDK — with modular, reusable stacks that enforce consistency across every environment and eliminate configuration drift.
API Design & Integration
We review your API contracts for versioning, backward compatibility, rate limiting, error semantics, and developer ergonomics — including REST, GraphQL, and gRPC trade-offs.
Microservices/Modular Architecture
We help you draw the right service boundaries using Domain-Driven Design, avoiding the distributed monolith trap and designing for team autonomy without coupling chaos.
Caching Strategy
We identify caching opportunities at every layer — CDN edge, application, database query, and object — and design TTL, invalidation, and stampede-prevention policies.
Load Balancing
We design your load balancing topology — L4 vs L7, sticky sessions, health probes, and weighted routing — to distribute traffic efficiently while isolating failures.
Multi-region/Multi-cloud Strategy
We evaluate the cost vs. resilience trade-offs of multi-region active-active and active-passive patterns, and design data replication strategies that keep regions in sync.
Backup & Data Retention
We define granular backup schedules, retention windows, and restoration procedures for every data store — and test them, because an untested backup is not a backup.
Identity & Access Management
We design your IAM model with least-privilege roles, just-in-time access, MFA enforcement, and machine identity patterns so credentials never become your weakest link.
Vendor Lock-in Considerations
We map your proprietary service dependencies, score their lock-in risk, and recommend abstraction layers or OSS alternatives where portability is worth the trade-off.
Capacity Planning
We build capacity models from your current usage trends, project growth scenarios, and define trigger thresholds that give you lead time to scale before limits bite.
Rate Limiting & Throttling
We design token-bucket and sliding-window rate limiting at the gateway and service level, protecting downstream systems from overload while giving legitimate traffic fair priority.
Configuration Management
We separate config from code — feature flags, environment-specific values, and secrets — using centralised config stores with versioning, audit trails, and zero-downtime rollout.
Container Orchestration
We design your Kubernetes (or equivalent) topology — namespace strategy, resource limits, pod disruption budgets, and cluster autoscaling — for both reliability and operator sanity.
Event-driven Architecture
We design event schemas, topic topology, consumer group strategies, and dead-letter handling for Kafka, SQS, or Pub/Sub so your async workflows are reliable and debuggable.
Service Mesh
We evaluate whether your service-to-service traffic complexity justifies a mesh layer like Istio or Linkerd, and design mTLS, traffic policies, and observability integration if it does.
Edge Computing/CDN
We identify content and logic that belongs at the edge — static assets, auth validation, geo-routing, A/B splits — reducing origin load and cutting global latency significantly.
Data Privacy & Encryption
We design encryption in transit and at rest, data classification policies, anonymisation strategies, and right-to-erasure workflows aligned to the privacy regulations that apply to you.
Audit Logging
We instrument every sensitive operation — who did what, when, and from where — with tamper-evident, centralised audit logs that satisfy both security teams and compliance auditors.
Incident Response Planning
We build runbooks, escalation trees, and severity classification frameworks so your on-call team can triage, contain, and resolve incidents without improvising under pressure.
Auto-scaling Policies
We define scale-out and scale-in triggers, cooldown periods, and predictive scaling rules that respond to real demand signals — not lagging averages that leave you over- or under-provisioned.
Resource Tagging & Organization
We design a consistent tagging taxonomy across your cloud estate — team, environment, cost centre, and criticality — enabling accurate cost attribution, security policy targeting, and lifecycle automation.
SLA/SLO Definitions
We translate your uptime commitments into measurable SLOs with error budgets, alerting thresholds, and burn-rate policies so you manage reliability proactively instead of reactively.
Technical Debt Management
We identify architectural debt — tight coupling, missing abstractions, manual processes — categorise it by risk and cost, and give you a prioritised remediation roadmap.
Documentation & Knowledge Sharing
We prescribe an Architecture Decision Record (ADR) practice, living diagram strategy, and runbook structure so institutional knowledge stays in the codebase, not in people's heads.
The questions no one asked before you shipped.
Engineers design for the happy path. The gaps only show up in incidents. We surface the hard questions before they become expensive problems.
37
architectural pillars reviewed
How it works
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Tell us what you're building — services, data flows, infrastructure, and constraints.
AI analyzes the gaps
The model reasons over your architecture against security, scalability, DR, and risk patterns.
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