Create consistent application environments
Package code, dependencies, runtime configuration, and system requirements into portable containers.
Your business may need Kubernetes and Docker when applications behave differently across environments, deployments require manual configuration, infrastructure is difficult to scale, or engineering teams need a more consistent way to package and operate software.
Docker creates portable application environments, while Kubernetes helps organizations deploy, manage, scale, and recover containerized workloads across cloud or private infrastructure.

Businesses invest in Kubernetes and Docker to improve deployment consistency, application portability, infrastructure scalability, and operational reliability. Container platforms help engineering teams package applications with their dependencies, deploy them consistently, and manage workloads through repeatable infrastructure and automation.
Package code, dependencies, runtime configuration, and system requirements into portable containers.
Standardize how applications are built, tested, released, and deployed across environments.
Increase or reduce application capacity based on demand, resource usage, or operational requirements.
Use health checks, automated restarts, workload scheduling, replication, and failover capabilities.
Manage APIs, microservices, background workers, event-driven services, and distributed applications.
Run containerized workloads across AWS, Azure, Google Cloud, private infrastructure, or hybrid environments.
Grayphite provides container engineering and orchestration capabilities for applications ranging from focused cloud products to complex enterprise platforms.

Package web apps, APIs, backend services, workers, and supporting processes into consistent Docker containers and reusable image standards.

Design secure Kubernetes clusters around workloads, environments, ingress, traffic routing, availability, and operational requirements.

Build and operate Kubernetes environments using Amazon EKS, Azure Kubernetes Service, Google Kubernetes Engine, or supported infrastructure.

Deploy and manage independently scalable services, APIs, workers, queues, and distributed application components.

Configure horizontal and vertical scaling based on workload demand, resource usage, and application performance.

Connect stateful workloads with databases, volumes, object storage, file systems, and cloud-managed storage services.

Implement RBAC, network policies, secrets management, image scanning, workload isolation, and security controls.

Monitor cluster health, logs, metrics, traces, failures, resource usage, deployment performance, backups, and recovery readiness.