Blog

Subscribe Here!

Three Benefits of Cloud-Native Architecture

by Jeff Hughes – November 28, 2017

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:

1. Scale-out

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.

2. Resiliency

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.

3. Agility

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 Cloud Native Architecture.png

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.

Related Content

The Economic Benefits of the Igneous Channel Program

June 12, 2019

A Special Note from Igneous' new VP of Channel Sales

read more

Thinking About Archiving to Cloud? Read This First.

April 19, 2019

Archiving data for long-term retention is a common use for cloud storage, with compelling benefits. However, as with many data protection strategies, cloud archive encounters problems when datasets are large—at the scale of hundreds of terabytes or petabytes.

read more

PAIGE and Igneous Build Industry-Leading Compute Cluster for Healthcare AI

January 16, 2019

PAIGE’s mission to revolutionize the diagnosis and treatment of cancer through machine learning requires an extremely large dataset of high resolution slide images. To do so, they are building an industry-leading compute cluster for healthcare AI. The team needed to not only protect all of this unstructured data, but also programmatically move and process small subsets of the overall dataset on demand for high performance computations.

read more

Comments