AWS Hardened Images for Life Sciences

Apollo provides life-sciences teams with a defined AWS image starting point for research, data, and operational systems where configuration control and reproducibility matter.

Responsibility boundary:An Apollo image does not validate a research or regulated system, determine whether healthcare rules apply, or replace workload-specific risk, quality, and compliance decisions.
Life sciences workloads

Keep infrastructure choices traceable as the workload changes.

01
Define the computational baseline

Record the exact image, software stack, architecture, and marketplace listing used for each workload environment.

02
Protect research and operational data

Complete access, encryption, transfer, retention, backup, and monitoring safeguards beyond the operating-system layer.

03
Control changes deliberately

Re-test dependencies and document exceptions when the image, application, research tooling, or surrounding AWS services change.

Relevant references

Explore the healthcare standards around this workload.

Each page explains where an image can contribute and where the complete program must do the rest.

Choose the build

Start with a reproducible build, then qualify the complete environment.

Choose the image that matches the workload's technical dependencies and retain the evidence needed to explain how the full system was configured and tested.

Browse Apollo images →

Find an AWS image for your life-sciences workload.

Compare supported builds, open the exact marketplace record, and evaluate the selected image with your research or operational application.