When we started Igneous, we set out to solve the problems of legacy software architectures, which weren’t particularly scalable, resilient, or agile. That’s why Igneous is built with a cloud-native architecture, enabling enterprises to harness the power of cloud wherever their data lives.
Unstructured data is growing quickly both in cloud and on-premises, presenting enterprises today with the challenge of managing unstructured data in our hybrid world. There are two approaches to this challenge: Make your cloud look like the premises by putting legacy software like NetApp in your cloud, or make your premises look more like cloud. We chose the latter, and this post will talk about why.
Igneous uses cloud-native architecture to bring the following benefits of cloud on-premises:
Igneous is a scale-out solution that makes it easy to scale your backup and archive infrastructure as your data grows. We’ve got a scalable index store, a scalable object store, and a scalable container run-time. All of this underneath is transparent to the interface above, so no matter how big you grow, there’s nothing more to manage and no new architecture planning required to scale.
Cloud also brings the resiliency to the equation because of the distributed nature in the systems. We’ve got resiliency at a number of layers: in how our container runtime is designed, in how we write data, and also in how we manage replication.
Just like the cloud, we have the ability to update software in-place. This provides two benefits: transparent defect resolution and the ability to put new features in place without taking systems down for maintenance. Users and IT enjoy the convenience of automatic updates and new features without experiencing interruptions to their work, increasing business agility.
Igneous is analogous to public cloud providers like AWS, but for your data both in cloud and on-premises. Under the covers of our data management platform, we’ve designed a scalable object store like Amazon S3, a scalable index store like Amazon DynamoDB, a scalable container runtime like Amazon Elastic Compute Service, and an event-driven computing mechanism like AWS Lambda—all in 1/10 of the footprint so it can work on your premises.
Learn more about our cloud-native services on our newly launched Technology page.