Amazon Web Services Accepts Blockchain Startup Ternio As Advanced Technology Partnerbr>
Blockchain startup Ternio has been accepted as an Amazon Advanced Technology Partner.
Founded in 2017, Ternio has been focused on building a highly scalable blockchain framework that is capable of supporting the high QPS (queries per second) of programmatic advertising. The company claims that its patent-pending Lexicon framework is the only scalable blockchain framework capable of supporting over one million transactions per second, fully decentralized and on-chain.
The Lexicon framework will now be available on Amazon Web Services (AWS) maketpalce, allowing AWS clients to use the framework and deploy a scalable blockchain solution within a cloud-based environment. Lexicon’s architecture is built upon HyperLedger Fabric and supports Ethereum EVM bytecode smart contracts.
“We’re very excited about being accepted as an AWS Advanced Partner, making us one of only five blockchain companies in the world with this designation,” said Daniel Gouldman, CEO of Ternio. “Now, any enterprise client from a small startup to the US federal government can deploy our blockchain technology at scale on AWS.”
Since Ternio’s Lexicon framework is industry-agnostic, it can be deployed in various sectors, including telecom, FinTech and public sector, among others. According to Ternio, the framework is well-suited for internal and external supply chains using large data sets or large volumes of small data sets.
Corey Ballou, who leads blockchain development at Ternio, said that Ternio has automated the deployment of Lexicon onto Amazon AWS’ Managed Kubernetes Service (EKS), which provides a simple command for creating an entire Kubernetes cluster.
“Pairing Lexicon with EKS was a natural choice for us,” said Ballou. “Coupling Kubernetes with Amazon’s underlying service offerings affords us the speed, security, scalability and availability we require. It allowed us to architect and automate the deployment of production-level Hyperledger Fabric clusters in a manner that is highly available and auto-scalable. We’ve also been able to implement Elastic Block Storage (EBS) auto-scaling to support the need for large, immutable datasets.”