Effectual delivered a mission-critical solution to a federal government client that ensured their sensor processing software was able to predict volcanic activity through moving magma.
This information is used to help scientists forecast seismic activity over multiple geographical locations. This could not have been done without a Cloud-based solution to ensure a resilient system.
Our customer required a move from its on-premises infrastructure to a centralized Cloud environment in AWS. They looked to our team to handle high availability architecture and fault tolerance to meet workloads over many geographical locations quickly after a natural disaster.
We provided a highly available and scalable infrastructure that ensured efficiency in wake of volcanos and other natural disasters. This sensor processing solution ensured predictive analytics, resilience, and scalability.
We worked with the customer to create a solution that ensured the user could collect volcano data to analyze and utilize for machine learning to better predict when volcanoes erupt.
Our team configured Amazon CloudWatch metrics to identify a surge in traffic in the event of a disaster. Kubernetes was implemented to provide automated container orchestration and higher availability to reach across multiple regions.
We configured EC2 instances that ensure adequate capacity to meet traffic demands and compute capacity. Our team automated launch configurations to allow the client to quickly launch and/or scale application servers in target environments in the future.