Deploying an application on multiple clouds presents some unique challenges. While each cloud has similar constructs in terms of compute, networking, and storage, the implementation of those constructs differs to a lesser or greater degree in each public cloud. Dealing with the vagaries of a particular cloud’s implementation requires a certain level of sophistication and expertise, making a multi-cloud deployment an administrative nightmare. What an organization needs is a consistent deployment model across multiple clouds without requiring in-depth knowledge of each cloud’s implementation. In this piece, Ned Bellavance looks at how Pure Storage provides storage predictability and consistency in multi-cloud using Kubernetes and the Pure Service Orchestrator.
Orchestration and integration may be what people think of most when in comes to DevOps. But in this post, Ned Bellavance looks at how to close the DevOps feedback loop with measuring and optimizing application performance.
Ned Bellavance and Stephen Foskett look at the current cloud storage landscape. Making sense of it can be a daunting task, even when just looking at Amazon Web Services and Microsoft Azure. It can be tough to make a true comparison across cloud when considering cost, performance, and reliability. How does this cacophony of choice come into play in a multi-cloud world?
A massive gap exists between the new world of DevOps and traditional enterprise IT. DevOps is predicated on rapid, iterative deployment, whereas enterprise IT typically works on a traditional waterfall process. Changes are made in massive batches and the underlying infrastructure is inflexible and heterogeneous. The new wave of DevOps in IT doesn’t want to […]