Serverless Runtimes Built for Speed
Run containerized workloads inside secure, lightweight sandboxes that boot in milliseconds.
The Problem
Traditional serverless platforms impose severe cold start penalties, restricting runtime execution limits and slowing down requests.
The Kubeletto Solution
Kubeletto uses lightweight sandboxing and resource quotas to initialize container instances rapidly.
Key Benefits & Workflow
Why Developers Prefer It
- Isolated namespaces: secure cgroup boundaries for resource containment.
- Independent runtime sandboxing: Secure kernel namespace isolation.
- Immediate deployment: routes transport directly to running container pods.
How It Works
- 1
Configure environment variables and parameters.
- 2
Initiate build compilation or container image references.
- 3
Container scales from warm pools automatically.
Under the Hood
Each service runs inside a secure sandboxed runtime environment with kernel namespace isolation, seccomp, and AppArmor profiles. Ingress traffic is managed via Knative Kourier ingress gateway that routes requests directly to active service pods.
Managed container orchestration layer.
resources:
limits:
cpu: "1.0"
memory: 512Mi
requests:
cpu: "0.2"
memory: 256MiFrequently Asked Questions
Is there a limit on execution times?
Kubeletto is optimized for web applications, APIs, and microservices. Long-running request limits can be configured up to 15 minutes.
What runtimes are supported?
Any OCI container image running Node.js, Go, Python, Rust, Ruby, Java, PHP, or binary executables is supported.