Airlines & Travel
Ship booking changes.
Never risk a live reservation.
Fare engine tweaks, seat map redesigns, and booking-flow changes each get a full-stack environment — wired up to your real GDS and payment sandboxes, isolated from the live system.
Helm
Docker
Terraform
K8s
EKS
AKS
GKE
SOC 2
ISO 27001
ISO 9001Trusted by over 30,000 engineers from
“Manual tests on Argo CD PRs now take me seconds. When you review dozens of PRs a day, that's a game-changer.”
“Automatically created a Bunnyshell environment based on PRs, speeding up the entire task implementation process.”
“The automation and scalability that Bunnyshell provides complements the DigitalOcean platform, empowering developers to build amazing products.”
$ cat how-it-works.md
How Bunnyshell works
Connect your repo
Link your GitHub, GitLab, or Bitbucket repository. Define your fare engine, seat map, or booking service using Docker Compose, Helm, or Terraform.
GitHub
GitLab
Bitbucket
Docker
Helm
K8sOpen a pull request
Bunnyshell auto-provisions an isolated, full-stack booking environment for every PR, wired to your real GDS and payment sandboxes.
Merge and move on
Tests pass, code is reviewed, PR merges. The environment auto-destroys. No cleanup. No surprise cloud bills.
Load-Test Peak Travel Season Before It Hits
Spin up a full-stack replica of your search and booking flow and simulate peak-season demand against it — fare engine, seat inventory, and payment sandbox included — without any risk to the system customers are actually booking through.
The Same Autoscaling That Protects a Sale, in Production
Load-testing in isolation only tells half the story. Production environments carry the same horizontal autoscaling, multi-region routing, and zero-downtime deploys — so the booking flow that held up in your test scales the same way for real travelers.
- ✓Horizontal autoscaling — scale on CPU, memory, or custom metrics — set min/max replicas per service
- ✓Multi-region deployment — deploy closer to travelers, with latency-based routing built in
- ✓Automated failover — unhealthy pods replaced automatically — traffic rerouted in seconds
- ✓Zero-downtime deploys — rolling updates with configurable surge — no maintenance windows during a sale
Also Built In
From fare engines to mobile check-in.
Multi-Currency & Multi-Region
Deploy environments across regions to validate localized pricing, currency conversion, and region-specific booking rules.
BYOC Architecture
Fare data, booking records, and passenger information stay inside your own cloud account. Bunnyshell orchestrates deployments — it never stores your data.
DORA Metrics, No Extra Tooling
Cycle Time and Deployment Frequency, per repository — know your velocity before the next fare war, not after.
Trusted by engineering teams
shipping fast
“Manual tests on Argo CD PRs now take me seconds. When you review dozens of PRs a day, that's a game-changer.”
“Automatically created BunnyShell environment based on PRs, speeding up the entire task implementation process.”
“The automation and scalability that Bunnyshell provides complements the DigitalOcean platform, empowering developers to build amazing products.”
“Websites don't die anymore, sales keep growing sustained by state-of-the-art tech scalability. Customers send thank you cards.”
“From a release once in 2-4 weeks to multiple times per week, and nobody's stressed about it.”
“I can count on an integrated platform for managing our infrastructure — capabilities we don't have in-house, at a fraction of the cost.”
“I can do with Bunnyshell and a DevOps person what my clients are doing with 4 DevOps people.”
“Developers want convenience. They expect someone to translate their Docker Compose to the cloud. They're not going to rush to learn Kubernetes.”
“Bunnyshell was the only tool that handled our Helm + EKS setup without asking us to change everything.”
“60+ microservices. Bunnyshell deploys them in parallel and lets us control which ones come first.”
Book a Demo. See your booking flow running in minutes.
Connect your existing cluster and get a real preview environment wired up to your actual fare and payment sandboxes.
Frequently asked
questions
Can’t find what you’re looking for? Talk to our team
Yes. Spin up an isolated, full-stack environment sized for load testing, simulate peak-season search and booking traffic against it, and tear it down afterward — the live reservation system is never touched.
