Extreme-scale systems are boring on purpose—and interesting under the hood.
We have designed and steered high-throughput infrastructure across continents, regulated health data, and government partnerships. “Scale” here means: traffic spikes, data gravity, org complexity, and the economic reality that the cloud will happily spend your ARR if no one is watching the bill.
Dimensions of scale (not all are QPS)
Request & data path
Horizontal scaling, shard discipline, read vs write amplification, and cache coherence. We profile where latency really lives—usually not where the deck says.
Geography & time
Multi-region active/active when justified, and active/passive with honest RTO/RPO when it is not. Data residency and egress as first-class design inputs, not an after-map.
Cost & FinOps
Unit economics: cost per user journey, not just per instance hour. Committed use, spot, and the architectural moves that lock in waste if chosen lazily—flagged before they bite.
Organizational scale
50 engineers change your platform whether you name it or not. We focus on team interfaces: who owns a shared service’s SLO, and how a platform team avoids becoming a gating function.
Identity, directory, and federation at scale
20+ years around global userbases , identity federation, and the way access patterns leak into every other failure mode. We connect those dots to modern OIDC stacks, B2B SAML for enterprise customers, and the operational reality of token lifetimes, rotation, and “why did the laptop trust store make prod cry?”
Pair with SLOs and standards evidence: access reviews that match actual groups—not quarterly spreadsheet theater.
Load, capacity, and reality-based planning
We are skeptical of back-of-napkin headroom. Engagement patterns include: traffic replay with anonymized or synthetic data, seasonal and campaign modeling, and the uncomfortable question “what is the largest customer allowed to do to a shared service?” The answer may be a product or pricing change—not another shard. We cut our teeth running some of the largest global userbases in the world for mobile and web products.
Related read
Fault domains in hybrid cloud → — cell boundaries, blast radius, and trade-offs when the network is the least reliable part of your “single pane of glass.”