Ternio, a scalable architecture for enterprise organizations, has announced its acceptance as an Ternio’s patent-pending Lexicon framework has made headlines in recent months as the only scalable framework capable of supporting over one million transactions per second, fully decentralized and on-chain.
With this new integration, any Amazon AWS client will have the option to use Ternio’s Lexicon framework and deploy a scalable solution within a cloud-based environment.
Deploying as a service (BaaS) has recently been a focus for many large organizations as they look to increase efficiencies, gain transparency and opt for data storage on an immutable . Up until this point, the biggest challenge was deploying a -based solution at scale. With Ternio’s Lexicon framework, scalability is no longer a point for large organizations looking to deploy distributed technology.
We’re very excited about being accepted as an AWS Advanced Partner, making us one of only five companies in the world with this designation. Now, any enterprise client from a small startup to the U.S. federal government can deploy our technology at scale on AWS.
Ternio’s technology is industry-agnostic and can be deployed for advertising, telecom, , public sector and more. The Lexicon is well-suited for internal and external supply chains using large data sets or large volumes of small data sets. Lexicon’s architecture is built upon HyperLedger Fabric and supports EVM bytecode smart contracts.
“Ternio has automated the deployment of Lexicon onto Amazon AWS’ Managed Kubernetes Service, EKS. Pairing Lexicon with EKS was a natural choice for us. 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.”
Published at Wed, 20 Feb 2019 00:06:57 +0000
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