Performance & Load Review
A written review of the bottlenecks, the cost and the next three changes.
Product Engineering
Product ScalingEngineering for the Next 10x.
Product scaling for the stage where the first architecture starts to creak — performance work, database tuning, async jobs, multi-region, observability, cost review and the on-call rotation that lets the team keep shipping features instead of fighting fires.
10+Years Experience
100+Projects Delivered
50+Expert Developers
20+Industries Served
Performance & Load Review
Database Scaling
Async & Background Jobs
Caching & Edge
Multi-Region & DR
On-Call & Observability
Overview
Scaling is a series of small rewrites, not one big one
The first architecture almost never survives the second 10x. The database that handled 10,000 users starts to lock at 100,000, the synchronous job that ran in a second starts to time out, the deploy pipeline that took five minutes starts to take twenty. The work is to find the next bottleneck and fix it before it becomes a page.
We do product scaling as a series of focused engagements, each one aimed at the next bottleneck the data is pointing to. The output is a more capable system, a more confident team, and a backlog of small rewrites that compound. Scaling is engineering, not a tool.
This is the wrong engagement if the product has not yet found product-market fit. Adding capacity to a system nobody wants is the most expensive way to learn nothing. We will say so on the call.
- Data-Driven — Decisions traced to profiling, load tests and the production data, not a guess.
- Phased — The next bottleneck is fixed, then the next, then the next — not a single rewrite.
- On-Call That Sleeps — A named rotation with the runbooks to recover in minutes, not a page at 3am.
- Cost-Defensible — The capacity work is reviewed against the bill, with the guardrails to keep it honest.
What we deliver
Everything included in our product scaling
Database Scaling
Indexing, sharding, read replicas and the migration that does not lose data.
Async & Background Jobs
Queues, workers, retries and the dead-letter handling that keeps jobs recoverable.
Caching & Edge
Cache layers, edge compute and the invalidation strategy that keeps things fast.
Multi-Region & DR
Active-active, active-passive or read replicas across regions, with a tested DR runbook.
On-Call & Observability
A named rotation, the dashboards, the alerts and the runbooks to recover in minutes.
Our process
A proven process for successful delivery
01
Discover
We profile, load test and review the production data with the team.
02
Plan & Design
We write the bottleneck list, the cost and the next three changes.
03
Develop
We build the change behind a flag, with the rollback path tested.
04
Deploy
We cut over the change, watch the metrics and roll back if it drifts.
05
Optimize & Grow
We move to the next bottleneck, with the metrics as the input.
Technology
Built with a stack that stays maintainable
Database
- PostgreSQL
- MySQL
- Redis
- ClickHouse
Queues & Async
- RabbitMQ
- Redis
- AWS SQS
- BullMQ
Caching & Edge
- Cloudflare
- Fastly
- Varnish
- Redis
Observability
- OpenTelemetry
- Grafana
- Prometheus
- Datadog
What you can expect
- Per Scaling Phase
- 4-8 wksPer Scaling Phase
- Target Uptime
- 99.9%Target Uptime
- API P95 Target
- <200msAPI P95 Target
- Capacity Headroom Added
- 2-5xCapacity Headroom Added
Industries we serve
Delivered for teams in your sector
Profiling in production, a load test against the staging environment, and a written review of the data. The bottleneck is usually the database (locks, slow queries, missing indexes) or the synchronous code paths that should be async. The review is short, with a ranked list of changes and the cost of each.
Rarely. Most scaling work is a series of small rewrites, each one aimed at the next bottleneck. The rewrites are flagged, tested, deployed behind a feature flag and rolled back if they drift. The system becomes capable one piece at a time, without a freeze on new features.
A cost review is part of every phase. The capacity work is reviewed against the bill, the right-sizing is done against the actual usage, and the guardrails alert before the bill spikes. The goal is to make the system capable at a defensible cost, not to add capacity nobody needs.
Yes. We work as a team extension, with the in-house team owning the roadmap. The rewrites are reviewed, the runbooks are written for the on-call rotation, and the work compounds. When the in-house team is ready, we hand over and stay on call for the first quarter to make sure the transition is smooth.
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Ready to start your product scaling project?Let’s scope it together.
Tell us the outcome you need. We’ll come back with an approach, a timeline and a written estimate.