Containers like Docker, Kubernetes, Red Hat OpenShift and public cloud containers help organizations to meet the needs of both IT operations and development teams. Containers enable service delivery processes to be consolidated, reducing the coordination dramatically which translates into IT and developer productivity gains.

Some workloads work better than others in containers. But which ones? And how should they be deployed to optimize software development or application migration? Understanding the options for both on-premises and public cloud containers and how they can be used throughout application and software development lifecycles can increase agility and shorten time to results.

We help organizations develop a container strategy, implement the tools and frameworks necessary to achieve it, and teach your team how to use containers to improve agility.

Docker is lightweight, portable and hardware agnostic. Docker’s packaging enables developers to write an application in any language, and its portability has fueled popularity among developers, and more recently production environments. Docker in production:

Addresses mismatches between development and production environments

Optimizes infrastructure cost

Decreases provisioning time

Provides server consolidation

Enables multi-tenancy

Increased developer productivity

To run containers at enterprise scale, an orchestration layer that manages resources is helpful. This layer manages scheduling, load balancing and more. There are many solutions for orchestration, though Kubernetes increasingly is the defacto choice. Options include:

Red Hat OpenShift

AWS ECS which all now support Kubernetes — Amazon with AWS EKS;

Azure Kubernetes Services (AKS)

Docker EE

Google Kubernetes Enterprise

Mesos