AWS Cloud Solutions

Building High-Performance Energy Data Visualization Solutions for the Cloud

INT’s IVAAP empowers energy data visualization on OSDU on Amazon Web Services (AWS).

The IVAAP platform offers a single point of access to search, interact with, analyze, and visualize multiple petrotechnical data sources in a single web-based application. IVAAP is also the perfect platform to integrate with your machine learning, all this deployable on the OSDU platform.

IVAAP leverages AWS’ strong distributed cloud infrastructure, reliable storage, compute, and more than 200 other services to empower cloud workflows.

INT Reference Architecture on AWS

How Does It Work?

Once the data has been migrated to the cloud, a variety of AWS services become available. For example, one of them is Elasticsearch, which helps index the data and provides a search interface. Another is AWS EC2, which provides compute resources that are as distributed as the data.

One of the cloud computing principles is that data has a lot of gravity and all the computing parts tend to get closer to it, which means that it is better to place the processing computer as close to the data as possible. With AWS EC2, we at INT can place our IVAAP back end very close to the data, regardless of where it is in the world, minimizing latency for the user and enabling on-demand access. Elastic compute resources also enable us to scale up when the usage increases and down when fewer users are active.

INT Integrates with Multiple AWS Services:

Amazon Elasticsearch Service
Amazon Elasticsearch Service is a fully managed service that makes it easy for you to deploy, secure, and run Elasticsearch cost effectively at scale.

Amazon EC2
Amazon Elastic Compute Cloud (Amazon EC2) is a web service that provides secure, resizable compute capacity in the cloud. It is designed to make web-scale cloud computing easier for developers.

Amazon Simple Storage Service (S3)
Amazon S3 is an object storage service that offers industry-leading scalability, data availability, security, and performance.

Amazon SageMaker
Amazon SageMaker helps data scientists and developers to prepare, build, train, and deploy high-quality machine learning (ML) models quickly by bringing together a broad set of capabilities purpose-built for ML.

TensorFlow on AWS
TensorFlow is one of many deep learning frameworks available to researchers and developers to enhance their applications with machine learning.

PyTorch on AWS
PyTorch on AWS is designed to utilize Amazon EC2 instances, Elastic Fabric Adapter, and other storage, network, and infrastructure technologies.