Blog

Subscribe to Email Updates

Cloud-Native Services—The Good, The Bad, The Best

by Christian Smith – November 8, 2016

In the early days of the company, one of our biggest debates was whether the core of our architecture should be a POSIX-compliant data tier or a modern key-value store. Back then (and for that matter, even today!) a vast majority of workflows depended on a legacy POSIX interface to storage.  

If the 1990s was the decade of Windows as the de facto platform, and the 2000s was the decade of Linux as the de facto platform, we are now in the era of cloud as the de facto platform for today’s compute and data. 

Needless to say, we decided to build our service around this new de facto platform. The public cloud brought a completely new tool chain—a whole new set of services that is changing the way applications are developed, deployed, and maintained. As with most things new, these “cloud-native” services make certain tasks dramatically simpler, but bring their unique challenges. 

So, what’s so special about having cloud-native services, like those we offer with the Igneous cloud platform? 

They are all about making it easy to build distributed applications that scale horizontally. Back in the day, applications were easier to develop. You developed applications to run on the Windows/Linux/Java platform, and if it needed to get faster, you just ran it on the faster servers that were always being launched. Moore’s Law came to your rescue, time and time again! 

The combination of the stalling of Moore’s Law and the geometric explosion of data sets and related workflows means that we now have to scale by breaking up applications into more components and adding more servers (as opposed to just faster servers!). In other words,  horizontally scaling decoupled systems! More components and servers means greater complexity to manage, and this is where new tools and services come in! The stack is changing from servers, Block/File storage and relational databases as primitives to containers, object storage, NoSQL databases, message queuing, stream processing, and server-less computing as the new application primitives. 

By building our on-premises solution with this new toolchain in mind, our aim was to enable this transformation to the rapidly growing data-centric workloads that can’t or won’t move to the public cloud.

Related Content

Move Your Data to Microsoft Azure with Igneous

September 24, 2018

One of the biggest hurdles of integrating public cloud storage, such as Microsoft Azure, into a modern data workflow is actually moving data to the cloud.

read more

When and How Should You Use Cloud in Your Backup Workflow?

September 11, 2018

While traditional tape workflows may make sense for some organizations, tape backup comes with a set of challenges that become especially difficult to manage at scale. At scale, the cost of tape storage no longer seems so cheap, and IT leaders start looking around for alternatives.

read more

Igneous Announces New Integration with Google Cloud Storage

July 23, 2018

Igneous Systems is excited to announce a new integration with Google Cloud Platform. This integration was designed with both replication and long-term archive in mind. Through the Igneous interface, you can now move files and file systems directly into Google Cloud Storage via policy. You will retain your ability to search across storage tiers, restoring to Igneous or to your primary NAS when you need to recover your data.

read more

Comments