Instance & Pod Killer
Kill instances and containers on a schedule.
Built on Chaos Monkey / PumbaOh My! GameDay as a Service
You could build your own chaos engineering platform. We already did Chaos Monkey, Toxiproxy, k6, and more behind one dashboard. We deploy it faster than you can scaffold it, so your engineers spend their time on work that actually matters.
Every run targets infrastructure you've verified you own. Always.
Why we exist
Chaos engineering is necessary, unglamorous infrastructure work. Every serious team needs to know their systems survive failure and almost none of them should spend a quarter building a fault-injection platform to find out. That's the trap: a year of engineering time spent on plumbing that never shows up in your product.
We genuinely love GameDays. There's a specific joy in watching a system survive something you broke on purpose, on your own schedule, instead of at 2am on a Saturday. So we built the thing we wished existed proven tools behind one dashboard and a single deploy command. We've already paid the setup cost, so your engineers don't have to.
“Chaos engineering infrastructure is undifferentiated heavy lifting. Your product isn't.”
Your best engineers shouldn't spend months writing fault-injection boilerplate. Every hour on chaos plumbing is an hour not spent on what your company exists to build.
The same battle-tested tools the largest cloud teams rely on, wrapped in one dashboard and one deploy command. Amazon-grade GameDays in minutes, not quarters.
How it works
One Docker command, into an environment you own.
From a catalog built on real, proven OSS tools.
We check before anything runs. No exceptions.
Watch it, hit the kill switch anytime, get a report after.
$ docker run --rm gdaas/agent init --env staging-us-eastTool catalog
Every scenario is built on a named, proven open-source project or documented cloud API nothing invented, nothing untested at scale. You're not trusting a black box; you're getting the industry's own tools without the integration work.
Kill instances and containers on a schedule.
Built on Chaos Monkey / PumbaAdd delay and variance to network calls.
Built on ToxiproxyPin resource usage to a target percentage.
Built on stress-ngGenerate real concurrent traffic against a verified target.
Built on k6Split nodes to test split-brain handling.
Built on BlockadeTrigger a controlled failover via your cloud provider's own API.
Built on AWS FIS / Azure Chaos Studio patternsDrop traffic to a downstream service and watch the fallback path.
Built on ToxiproxyFill volumes and throttle IO to rehearse storage pressure.
Built on stress-ngDrift container clocks to surface time-sensitive assumptions.
Built on PumbaSafety
Every target must be verified as yours before anything can run. Faults execute from inside through an agent you deploy into your own environment, or a scoped cloud role you grant us never from the outside in. Every run requires a metric-based stop condition that aborts it automatically when your system crosses a line you set, plus a manual kill switch that is always one click away. Every run produces an audit log you can hand to a reviewer.
Ownership verified
Kill switch always on
Blast-radius capped
Full audit log
Who it's for
Rehearse failure before it happens for real. Prove the failover path, the retry budget, and the on-call runbook work on a Tuesday afternoon, with the whole team watching, instead of discovering the gaps during an incident.
SOC 2, ISO 27001, DORA resilience testing is increasingly something you have to evidence, not just claim. Every GameDay ends with a timestamped report and audit log, so you walk away with an artifact, not just a memory.
The math
Nobody knows exactly what their own resilience tooling costs which is exactly the problem. Set the sliders to your team and find out what the plumbing is quietly eating.
Not on the tooling yet? Set it to zero then add the one-time build you would have to write first: a minimal viable fault-injection platform takes roughly 2,000 engineer-hours before anyone runs a single test.
Hours your team gets back, per year
720hrs
At the default settings, that's more than a full engineer spending an entire year building and babysitting plumbing instead of your product.
Assumes 160 h per engineer-month. Move the sliders the conclusion doesn't change.
Pricing
Low-cost, usage-based access. No upfront infrastructure investment, no seat minimums, no year of platform engineering before your first run. Pricing is still being finalized get on the list and we'll bring you in early.
Join teams already running their first GameDay.