Multi-Cloud Architecture

Alpha Omega employs a balanced approach to determine the right mix of Cloud Native Services and Cloud Agnostic products that provide cost optimized and highly maintainable cloud architecture. Our experience with multiple CSPs and partnerships – primarily Microsoft Azure, Amazon Web Services (AWS), Google Cloud platform (GCP) – provides valuable insights into the limits, pitfalls and capabilities of cloud services across CSPs.

Although all cloud services provide similar benefits, the underlying implementation efforts and architectural considerations make these service vastly different from each other.

Alpha Omega’s cloud practice center provides Multi-Cloud Architecture and a Migration playbook to unlock the true potential of cloud for your infrastructure and applications.

Multi-cloud is the use of two or more Cloud Services Providers (CSP) to deploy enterprise services and applications. It is different than Hybrid-Cloud.

In Multi-Cloud architecture each use case is deployed entirely within a single Cloud Service Provider (CSP) after thorough evaluation of services, architecture and portability to insure the ideal fit. The portability is determined by the mix of Cloud native and Cloud Agnostic services in the architecture.

Finding the balanced spot between the Cloud Agnostic and Cloud Native service offerings can be time consuming but it offers higher cost saving, long term maintainability and lower technical debt for any cloud architecture.

National Oceanic and Atmospheric Administration (NOAA) provides weather tracking and forecasting services by processing satellite data. Most of the data processing involves High Performance Computing (HPC) on purpose built multi-million dollar data centers.

NOAA’s National Environmental Satellite, Data, and Information Services (NESDIS) division has tasked Alpha Omega with developing an optimized cloud architecture on AWS, Azure and GCP for the HPC data pipeline to ingest, process and distribute weather Data. In a comparative pilot, Alpha Omega’s HPC solution in the cloud processed 5TB of satellite data using 1100 CPU cores in just under 40 minutes and at the compute cost of $8000, down from previous processing times of 14 hours in a traditional datacenter.

Our HPC blueprints balanced the Cloud Agnostic and Cloud Native aspects of architecture to provide maximum cost efficiency across multiple clouds. Our solution also provided the Continuous Integration Continuous Delivery (CI/CD) pipeline for deploying Science Algorithms using Cloud Agnostic tools.