It transforms legacy applications into scalable containerized workloads on fully managed serverless infrastructure. Aliz containerizes your applications and deploys them to Google Cloud's serverless runtimes, Cloud Run and GKE Autopilot, eliminating server management while maximizing development velocity.

CTOs and Engineering Leads who want to decouple their applications from infrastructure maintenance. Legacy applications on virtual machines trap teams in patching operating systems, manual scaling and provisioning overhead, which consumes budget and talent that should go to product features.

Containerization and re-platforming, serverless deployment to Cloud Run or GKE Autopilot, automated CI/CD pipelines with push-to-deploy capabilities, and granular cost governance with Rabbit. The result is infrastructure that scales to zero when unused and handles traffic spikes automatically.

No. Aliz doesn't force a full rewrite. It prefers a pragmatic strangler fig pattern or containerization of existing artifacts to get you to serverless quickly, then optimizes.

Aliz analyzes your application dependencies to determine the best serverless fit between Cloud Run and GKE. Both are fully managed runtimes that remove the need to manage nodes or clusters and can scale to zero.

Five steps: Assess application dependencies, Containerize with production-grade images, Deploy with Terraform-based Infrastructure as Code and managed databases such as Cloud SQL, Automate CI/CD with deployments and rollbacks, and Govern costs by installing Rabbit from Day 1.

Aliz doesn't just deploy containers. It secures the build pipeline using Binary Authorization and Artifact Registry, so only trusted code reaches production.

With Rabbit, Aliz's proprietary cost tool. Most tools struggle to allocate costs in shared container environments; Rabbit provides granular cost visibility down to the namespace and workload level, so you know which microservice drives your spend.