AWS Day at KubeCon
Containers provide a standard way to package your application's code, configurations, and dependencies into a single object. Containers share an operating system installed on the server and run as resource-isolated processes, ensuring quick, reliable, and consistent deployments, regardless of environment. The AWS Cloud offers infrastructure resources optimized for running containers, as well as a set of orchestration services that make it easy for you to build and run containerized applications in production.
AWS supports OCI compliant containers, including docker containers.
Benefits
Run anywhere
Containers package your code with the configuration files and dependencies it needs to consistently run in any environment.
Improve resource utilization
Containers provide process isolation that lets you granularly set CPU and memory utilization for better use of compute resources.
Scale quickly
Each container runs as a separate process that shares the resources of the underlying operating system. This enables containers to start and stop quickly.
How they work
Use cases
Microservices
Containers provide process isolation that makes it easy to break apart and run applications as independent components called microservices.
Batch processing
Package batch processing and ETL jobs into containers to start jobs quickly and scale them dynamically in response to demand.
Machine learning
Use containers to quickly scale machine learning models for training and inference and run them close to your data sources on any platform.
Hybrid applications
Containers let you standardize how code is deployed, making it easy to build workflows for applications that run between on-premises and cloud environments.
Application migration to the cloud
Containers make it easy to package entire applications and move them to the cloud without needing to make any code changes.
Platform as a service
Use containers to build platforms that remove the need for developers to manage infrastructure and standardize how your applications are deployed and managed.
