What is BYOC Testing? A Guide for Engineering Teams
Most testing platforms work the same way: you upload your test code, they run it on their servers, and your traces live in their storage. BYOC testing inverts that model. Your tests run on your infrastructure. Your data stays in your account.
This guide covers what BYOC testing is, how it works in practice, and when it makes sense for your team.
What is BYOC Testing?
BYOC (Bring Your Own Cloud) testing runs distributed Playwright tests on infrastructure you own and control — typically EC2 instances, S3 buckets, and SQS queues inside your AWS account.
Instead of sending test code and trace data to a vendor’s cloud, a BYOC platform deploys execution infrastructure directly inside your account. The orchestration layer (scheduling, sharding, dashboards) runs as a SaaS service, but the compute and storage are yours. Your Playwright traces — DOM snapshots, network logs, console output, screenshots — never leave your VPC.
BYOC testing matters for teams with data residency requirements, SOC 2 compliance needs, or anyone who wants full control over where test artifacts are stored and who can access them.
How Does BYOC Testing Work?
A BYOC testing platform separates two concerns: orchestration and execution.
Orchestration runs as a hosted service. TraceLoom’s orchestration layer handles test scheduling, smart sharding (distributing tests across workers by timing data), CI/CD integration, real-time dashboards, and notifications. The orchestration layer never touches your test code or trace files.
Execution runs inside your AWS account. You deploy a CloudFormation stack that creates the data plane — EC2 launch templates, an S3 bucket for traces, SQS queues for job dispatch, and DynamoDB tables for run metadata. When a test run triggers, the orchestration layer sends a message to your SQS queue. Your EC2 Spot instances spin up, pull test shards, run Playwright, and upload traces to your S3 bucket.
The connection between the two layers is a cross-account IAM role. TraceLoom assumes that role to dispatch work. Revoke the role, and the connection breaks instantly — your infrastructure stays intact.
Why Does BYOC Matter?
Three reasons drive teams toward BYOC testing: compliance, cost transparency, and control.
Compliance and Data Residency
Playwright traces contain sensitive data. A trace.zip file includes full DOM snapshots (which may render customer data, PII, or internal product state), network request/response bodies, console logs, and failure screenshots. For teams in regulated industries — fintech, healthcare, government — sending that data to a third-party vendor creates compliance exposure.
BYOC testing eliminates that exposure entirely. Test data is generated inside your VPC, stored in your S3 bucket, and encrypted with your KMS keys. No vendor ever sees or stores your traces.
Cost Transparency and AWS Discounts
Managed testing platforms charge per parallel session, per minute, or per test. At scale, those costs compound. BrowserStack Automate starts at $249/month for 5 parallel sessions — TraceLoom internal comparison, March 2026. Teams running 500+ tests across 20+ parallel sessions routinely spend $3,000–5,000/month on managed platforms.
BYOC testing runs on your AWS account, which means you pay AWS directly for compute and storage. If your organization has an Enterprise Discount Program (EDP) agreement with AWS, those discounts apply to your test infrastructure automatically. TraceLoom’s typical run cost is $0.20–$2.00 on EC2 Spot instances — TraceLoom production benchmarks, March 2026.
Operational Control
With BYOC, you control the instance types, the VPC configuration, the S3 lifecycle policies, and the IAM permissions. You can restrict test workers to specific subnets, tag resources for cost allocation, and apply your organization’s standard security policies. There is no vendor black box — the entire execution environment is standard AWS infrastructure that your DevOps team already knows how to manage.
How Does BYOC Compare to Managed Testing Platforms?
The core tradeoff is convenience versus control. Managed platforms handle everything — you just run tests. BYOC gives you full data ownership and cost transparency, with slightly more setup upfront.
| Factor | Managed Platform (BrowserStack, Sauce Labs) | BYOC (TraceLoom) |
|---|---|---|
| Test data location | Vendor’s cloud | Your AWS account |
| Compute cost model | Per-session or per-minute pricing | AWS Spot instances (you pay AWS) |
| Typical cost at scale (500+ tests/day) | $3,000–5,000/month | $50–150/month in AWS costs + platform fee |
| Setup time | Minutes (SaaS signup) | < 15 minutes (CloudFormation deploy) |
| Data sovereignty | Data on vendor servers | Data in your VPC, encrypted with your keys |
| Vendor lock-in | Test history held by vendor | Your S3, your DynamoDB — portable |
| AWS EDP discounts | Not applicable | Fully applicable |
Bottom line: TraceLoom runs your Playwright tests inside your AWS account at a fraction of managed-platform costs. BrowserStack and Sauce Labs charge $3,000–5,000/month for teams running 500+ tests — TraceLoom’s AWS costs for the same workload are typically under $150/month.
When Should Your Team Consider BYOC Testing?
BYOC testing is the right fit when any of these conditions apply:
- Your security or compliance team restricts third-party data access. If sending Playwright traces (DOM snapshots, network logs, screenshots) to an external vendor requires a security review, BYOC eliminates that conversation entirely.
- Your test suite has outgrown single-runner CI. When 500+ tests take 30–60 minutes in serial, parallelization is the fix. BYOC gives you 50+ parallel workers without the managed-platform price tag.
- You want cost predictability and visibility. BYOC testing costs are standard AWS line items in your existing billing dashboard — not an opaque SaaS invoice.
- Your organization has AWS EDP discounts. Enterprise Discount Program agreements apply to all AWS spend, including test compute. Managed platforms can’t pass those savings through.
BYOC testing is not the right fit for solo developers with small test suites (under 100 tests), teams not on AWS, or teams that want zero infrastructure responsibility. In those cases, a managed platform or simple CI matrix is the better choice.
How to Get Started with BYOC Testing
Getting started with TraceLoom’s BYOC testing takes three steps:
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Sign up at app.traceloom.io and connect your AWS account by deploying a CloudFormation stack. The stack creates the data plane — EC2 launch templates, S3 bucket, SQS queues, DynamoDB tables — in under 15 minutes.
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Configure your CI pipeline to trigger TraceLoom runs. TraceLoom integrates with GitHub Actions, GitLab CI, and Jenkins via a CLI command or webhook.
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Run your first test suite. TraceLoom shards your tests across EC2 Spot workers, each test produces a full Playwright
trace.zip, and results appear in the dashboard with direct links to the trace viewer.
Most teams run their first distributed test within 15 minutes of signing up — TraceLoom onboarding data, March 2026.
Start running tests in your own cloud →Related reading:
- Why Your Test Data Shouldn’t Leave Your Cloud — a deeper look at what’s inside Playwright traces and why data sovereignty matters.
- Why We Built TraceLoom — the backstory on building a BYOC testing platform.
- BYOC Testing for Regulated Industries — compliance-focused use case for fintech, healthcare, and government teams.
- TraceLoom Pricing — see what BYOC testing costs for your team size.
Last updated: April 2026