Key Takeaways
- Effectual migrated a Federal Government customer's on-premises Landsat satellite image processing to a serverless AWS infrastructure.
- The solution used AWS Lambda, AWS Batch, Kubernetes, and Amazon EKS to handle satellite imagery at scale.
- Serverless infrastructure cut costs by 80% by eliminating the need to run and maintain dedicated servers.
- Kubernetes-based container orchestration improved availability across multiple regions for domestic and international users.
- Satellite imagery retrieval time dropped from 2 weeks to 2 hours after the new architecture went live.
Effectual worked with a Federal Government customer to provide a mission critical solution that simplified its Land Satellite sensor processing software of the Earth’s land surface.
The images provide uninterrupted data to help land managers and policymakers make informed decisions about our natural resources and the environment.
The Challenge
A Federal Government customer looked to us to migrate its on-premises infrastructure to a Serverless infrastructure in AWS to ensure cost optimization, availability, and application performance while logging satellite images.
The Solution
Our team implemented AWS Lambda, AWS Batch, Kubernetes, and Amazon EKS. This ensured the client’s ability to collect satellite images that would be used to help scientists track land change due to climate, urbanization, drought, wildfire, and biomass changes.
The Benefits
Cost Optimization
We implemented AWS Lambda to run code without servers. By implementing Serverless infrastructure the client was able to reduce cost by 80%.
Availability
Our team implemented Kubernetes to provide automated container orchestration and higher availability across multiple regions. This allowed users – both domestic and abroad – to access satellite photos more efficiently via the web for personal and private use.
Application Performance
We set up serverless storage to compact the client’s satellite imagery retrieval process from 2 weeks to 2 hours.
Frequently Asked Questions
What problem did this Federal Government customer face with its satellite imagery infrastructure?
Its on-premises Landsat sensor processing software needed to move to a serverless AWS infrastructure to improve cost optimization, availability, and application performance while logging satellite images.
What AWS services did Effectual use to build the solution?
AWS Lambda, AWS Batch, Kubernetes, and Amazon EKS.
How much did the serverless migration reduce costs?
Implementing serverless infrastructure with AWS Lambda reduced costs by 80%.
How did the solution improve satellite image retrieval speed?
Serverless storage compacted the client's satellite imagery retrieval process from 2 weeks to 2 hours.
Who benefits from the satellite imagery this system processes?
Land managers and policymakers use the uninterrupted data to make informed decisions about natural resources and the environment, and both domestic and international users can access satellite photos more efficiently via the web.