Scalability Engineering
From Dozens to Millions — Without Rewriting
We have taken systems from 3 requests per second to 3,000+, and handled up to 10,000 transactions per second in production. When your growth curve outruns your architecture, we re-engineer the bottleneck, not the product.
Technologies We Use
Proven tooling for throughput, data, and traffic at scale — chosen per workload, not by trend.
Horizontal pod autoscaling and cluster-level scaling primitives
High-throughput event streaming for decoupled, scalable pipelines
Reliable queues with back-pressure and priority semantics
In-memory caching and rate limiting at microsecond latency
Partitioning, read replicas, and connection pooling for read-heavy loads
Distributed SQL for geo-replicated, horizontally scaled data
Distributed search and analytics at scale
Columnar analytics for sub-second queries on billions of rows
Service mesh for traffic splitting, retries, and circuit breaking
Edge load balancing and layer-7 traffic shaping
Global edge caching and DDoS-resilient traffic offload
Binary RPC for high-throughput internal service calls
Multi-tenant messaging for scale-out event architectures
Durable workflows for long-running, scalable orchestration
High-performance TCP/HTTP load balancing
Load generation frameworks for scale validation
Our Scalability Playbook
1
Load Profiling & Bottleneck Hunt
We instrument the full request path, run load tests at 2× to 10× current peak, and pinpoint the exact component that breaks first — CPU, IO, lock contention, or database.
2
Architecture for the Next 10×
We design for the traffic shape you will have, not the one you have today — horizontal over vertical, async over sync, cached over computed, partitioned over monolithic.
3
Incremental Rollout
Scalability changes ship behind feature flags and traffic-mirroring. No big-bang rewrites — we move read paths first, then writes, with automated rollback at every step.
4
Continuous Capacity Management
Autoscaling tuned to real traffic patterns, capacity dashboards for product and ops, and quarterly load-test drills so the next growth spike does not become an incident.
What We Deliver
Re-architecture, data scaling, async design, caching, autoscaling, and load validation — the full scalability stack.
Throughput Re-Architecture
From 500 TPS to 3,000 TPS, from 3/day to 3,000+/day — we have delivered these lifts in production. Event-driven pipelines, parallel workers, and back-pressure-aware retries.
Database Scaling & Partitioning
Read replicas, sharding, connection pooling, query plan surgery, and multi-AZ topologies. We keep your database from becoming the ceiling.
Event-Driven & Async Design
Kafka, Pulsar, and queue-based architectures that decouple services so one slow dependency cannot take the whole platform down.
Caching & Edge Delivery
Multi-tier caching with Redis, Varnish, and CDN edge rules — hot paths answered in milliseconds, origin traffic cut by 70-90%.
Autoscaling & Capacity Engineering
Horizontal autoscaling tuned to real traffic shape. Spot + reserved + on-demand portfolios sized to your load profile, not a one-size-fits-all template.
Load Testing & Scale Validation
We prove the architecture before traffic does. Load test harnesses, traffic mirroring, and chaos drills that certify capacity at 10× current peak.
Related Case Studies
ICS Mobile
Re-architected a telecom messaging pipeline from 500 to 3,000 TPS — SMS, WhatsApp, and RCS delivered near real-time, client complaints dropped to zero.
Kashti FinServ
Lifted a loan aggregator from 3 to 3,000+ applications per day — NBFC-ready architecture that passed regulatory due diligence and onboarded partners in days.
Spend The Bits
Rebuilt a payments core on Kubernetes + Kafka — thousands of daily transactions served reliably, with weekly releases and zero high-severity incidents for a year.
AllIndex
Built an institutional backtesting engine with sub-second analytics on Bloomberg-tier datasets — architecture scale-tested to 10× production load.
Eduley
Thousands of concurrent students sustained through exam windows — Kubernetes autoscaling tuned to the Canadian academic calendar traffic shape.
Growth Is Coming. Be Ready.
Whether you are about to 10× or already breaking under current load, a scalability audit tells you exactly what will bend and when.