Container runtime for serverless functions
Node.js, Python, and Go each ship with dependencies per function inside their own container—a POSIX-friendly filesystem layout without hand-rolling a VM farm for every service.
Last updated: 2026-06-28
Answer first
Direct answer
Container runtime for serverless functions. Package each function with its own dependencies and let the platform schedule a container per function—no shared interpreter to babysit.
When it fits
- Conflicting libraries across functions
- Security-sensitive isolation requirements
Tradeoffs
- Dedicating a VM to every function is heavy for a small team to operate; containers hit a practical middle ground between density and isolation.
- A pure PaaS without isolation guarantees pushes all of that risk onto application-level discipline alone.
Workload and what breaks
Shared runtimes leak complexity
When everything runs in one shared interpreter, dependency conflicts and accidental global state eventually become production incidents.
Security reviews also ask harder questions when unrelated tenants or features share a process and its memory.
Trade-offs
Why not raw VMs only
Dedicating a VM to every function is heavy for a small team to operate; containers hit a practical middle ground between density and isolation.
A pure PaaS without isolation guarantees pushes all of that risk onto application-level discipline alone.
How Inquir helps
What the container runtime gives you
Package each function with its own dependencies and let the platform schedule a container per function—no shared interpreter to babysit.
The same container boundary serves gateway HTTP invokes, pipeline lambda steps, and async jobs, so one isolation model covers every entry point.
What you get
Engineering benefits
Reproducibility
Deploy artifacts match production more closely than ad hoc hosts, so “works on my machine” gaps shrink.
Blast radius
Failures and leaks stay contained to a single function instance instead of spreading through a shared process.
Polyglot
Mix Node.js, Python, and Go in one workspace and use each language where it excels.
What to do next
How to ship functions with Inquir’s container runtime
Same per-function containers for gateway invokes, pipeline steps, and async jobs.
Author
Declare entrypoints and dependencies per function.
Deploy
Ship bundles through the browser or API workflows.
Run
Let the scheduler place containers on available capacity.
Code example
The container is the dependency boundary
Treat the container as the unit of dependency closure: everything the handler needs ships inside it.
// Platform bundles deploy artifacts; you focus on handler + package manifests.When it fits
When containers help
When this works
- Conflicting libraries across functions
- Security-sensitive isolation requirements
When to skip it
- Extremely tiny scripts where overhead dominates
FAQ
FAQ
Can functions read and write local disk?
Treat filesystems inside containers as ephemeral unless your deployment explicitly documents durable volumes; persist user data to external stores.
How does container isolation help security reviews?
Separate processes and file systems per function reduce blast radius compared to one shared interpreter serving unrelated routes.
Does every function need its own container image?
Each function carries its own dependency closure; that trades a bit of overhead for reproducible deploys and fewer “works on the server” surprises.