Application Platforms
Technology to help accelerate the adoption of the cloud
Use Cases
Hybrid Architecture
Seamlessly build, deploy, and manage applications across on-premises and cloud environments. Benefit from the scalability, high availability and agility that has made cloud native businesses a success with minimal effort.
Accelerated Development
Gain agility by enabling developers to self-serve in a way that provides functional parity between development and production environments. Iterate quickly to give your customers what they want.
Unified Experience
Provide a unified experience across every deployment environment. Allow developers and engineers to deploy applications across multiple environments, both on-prem and in the cloud with confidence.
Benefits
Faster Time to Market
Let AWS take care of undifferentiated heavy lifting. Allow developers to focus on building differentiated products instead of managing commodity application components.
Automation
Application platforms automate application builds, deployments, scaling, health management and more leveraging integrated components from Kubernetes.
Consistency
Developers can work in their local test environment and be confident that application behavior will be work the same when deployed to production environments.
Cost Savings
Drive operational efficiency with AWS’ economies of scale. Pay only for the services you use with no long term or upfront commitment.
Application Platform Solutions
Red Hat OpenShift is an application platform that drives innovation, anywhere. It empowers organizations to modernize their applications and infrastructure, build new cloud-native applications, accelerate their digital transformation, and fuel growth. Red Hat OpenShift is the trusted, unified, enterprise Kubernetes application platform with a choice of deployment and consumption options that support every application and environment. With Red Hat OpenShift, organizations can quickly build, deploy, run, and manage applications anywhere and at scale. Red Hat OpenShift supports AI adoption, edge computing, and application modernization initiatives while delivering consistent development and management in any environment.
VMware Tanzu Application Service (TAS) is an intrinsically secure and scalable platform for running modern apps that automates the release and operation of your software. TAS is purpose-built for developers to boost feature velocity and for operations teams to deliver world-class uptime. It provides a uniform way for you to launch and quickly iterate on ideas in the language of your choice, allowing you to focus on adding business value with applications rather than designing and implementing how the application will be deployed, scaled, and exposed to end users.
SUSE Cloud Application Platform on AWS provides a lean and fast solution to accelerate containerized application delivery. By leveraging a managed Kubernetes environment, SUSE makes it easier for DevOps teams to deliver applications, accelerate innovation, and improve IT responsiveness. SUSE Cloud Application Platform is easily deployed on Amazon Elastic Container Service for Kubernetes (EKS) to deliver a turnkey, enterprise developer experience with guardrails, helping monitor the health of all containers and automatically restarting ones that fail.
VMware PKS is a purpose-built container solution to operationalize Kubernetes for enterprises and service providers. It significantly simplifies the deployment and management of Kubernetes clusters with day 1 and day 2 operations support. With hardened production-grade capabilities, VMware PKS takes care of your container deployments from the application layer all the way to the infrastructure layer.
AWS Service Broker
The AWS Service Broker is an open source project which allows native AWS services to be exposed directly into these application solutions and provide a seamless integration with applications running in the platform. The AWS Service Broker integrations are natively available in Red Hat OpenShift.
AWS Services included in the AWS Service Broker: