Standardize runtime behavior
Containers and manifests give the team one deployment model to maintain instead of special cases for every service.
Core Skill
Kubernetes
A core skill we ship with to run services and environments reliably. One deployment model for clusters, jobs, and previews keeps delivery predictable as the stack grows.
Why we ship with Kubernetes
Kubernetes gives us a consistent way to run services, workers, and environments across staging and production. It helps teams keep deployment behavior predictable as systems grow.
Scale without changing the workflow
Services, jobs, and supporting tools can all use the same cluster model as usage grows. That keeps operations and delivery aligned.
How we use it to ship products
We use Kubernetes when the delivery model needs repeatable environments, safe rollouts, and a clear place for services to run.
Service deployments
Web services, APIs, and internal tools run from the same deployment patterns so the team can ship consistently.
Background workers
Queue consumers, schedulers, and batch jobs can scale independently without being tied to the web tier.
Preview and staging parity
Non-production environments behave like the real thing, so teams see problems before they reach customers.
Operational guardrails
Resource limits, probes, and rollout policies keep the platform predictable as the stack grows.
Our delivery principles with Kubernetes
Practical choices that keep clusters understandable for the team that owns them.
Keep manifests explicit
We favor readable configuration over hidden magic so deployments stay easy to reason about and hand off.
Model the system clearly
Namespaces, services, and jobs map back to product responsibility so the platform matches the business.
Roll out with confidence
We use staged deploys and health checks so every change has a clear path from staging to production.
Observe before scale
Metrics, logs, and alerts are part of the workflow so capacity changes happen with data, not guesswork.
Often ships alongside
Kubernetes usually sits with backend, data, and cloud delivery. Explore the adjacent skills we pair it with.
Building with Kubernetes
Want to ship with Kubernetes?
Tell us about your services, environments, and scaling needs. We'll map out where Kubernetes adds real leverage and where it should stay out of the way.
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