Cloud Developer Environments with SageMaker Studio

Building modern data and AI applications requires scalable, on-demand hardware and software. Developers need to easily provision environments that align with the application or use case they are currently working on. AI engineers need access to GPUs, and Data Engineers working in Spark environments need high memory instances. These ever-changing needs mean that local development activities are shifting to the cloud to enable developers with the right resources.

phData has developed a managed service to provide developers with cloud-native development environments with Sagemaker Studio. These environments offer consistency when promoting code from development to production, with prebuilt container images and software installed to meet the needs of data, analytics, machine learning, and AI engineers. Sagemaker Studio handles the lifecycle management, ensuring a cost-effective solution to support development activities. Developers can access tools like Visual Studio Code and Jupyter Notebooks directly through a standard web interface. Separating compute (containers) from storage allows for user-attached storage, allowing developers to maintain code and libraries across different computing resources.

Developers can access tools like Visual Studio Code and Jupyter Notebooks directly through a standard web interface. Separating compute (containers) from storage allows for user-attached storage, allowing developers to maintain code and libraries across different computing resources.