Docker
Give developers and testers a dependable application package. SAI can help containerize suitable services, define how images are built and scanned, and connect that package to testing and deployment.
The business problem
“Works on my machine” becomes expensive when each environment has a different runtime, library or configuration. Containerizing an application helps, but it does not by itself solve external databases, secrets, network access or support ownership.
How SAI Technologies approaches the work
Select a bounded application or service and document its runtime, external dependencies and configuration.
Create versioned Dockerfiles and lean images, with approved base images and dependency scanning.
Separate secrets and environment settings from the image; test startup, health and error behavior.
Connect image build to the CI/CD pipeline and an approved registry, then document deployment and rollback.
Validate the complete user path in each target environment.
Connected process
Connected delivery
A container is one part of the system. SAI checks how it connects to data, identity, logging, networking and the team operating it; an image is accepted when the service it supports works.
Small and midsize bank use case
A bank’s internal loan document service runs differently in development and testing. SAI could package that service in a reproducible image, integrate automated tests and confirm its connection to the bank’s approved document store.
Illustrative delivery story
A team repeatedly rebuilds a test environment by hand before a release. A scoped Docker project could create a consistent application package and documented configuration.
Measures to agree before work begins
Environment setup time; image build repeatability; dependency findings; test failures caused by environment differences; release defects.
A practical first SOW
Docker readiness SOW: containerize one suitable service, create build and scan steps, test external connections and deliver deployment documentation.
