Kubernetes is Everywhere Q&A

Last month, the SNIA Cloud Storage Technologies Initiative hosted a fascinating panel discussion “Kubernetes is Everywhere: What About Cloud Native Storage?”  where storage experts from SNIA and Kubernetes experts from the Cloud Native Computing Foundation (CNCF) discussed storage implications for Kubernetes. It was a lively and enlightening discussion on key considerations for container storage. In this Q&A blog, our panelists Nick Connolly, Michael St-Jean, Pete Brey and I elaborate on some of the most intriguing questions during the session.

Q. What are the additional/different challenges for Kubernetes storage at the edge – in contrast to the data center?  

A. Edge means different things depending on context. It could mean enterprise or provider edge locations, which are typically characterized by smaller, compact deployments of Kubernetes. It could mean Kubernetes deployed on a single node at a site with little or no IT support, or even disconnected from the internet, on ships, oil rigs, or even in space for example. It can also mean device edge, like MicroShift running on a small form factor computer or within an ARM or FPGA card for example.

One big challenge for Kubernetes at the edge in general is to provide a lightweight deployment. Added components, like container-native storage, are required for many edge applications, but they take up resources. Therefore, the biggest challenge is to deploy the storage resources that are necessary for the workload, but at the same time, making sure your footprint is appropriate for the deployment infrastructure.  

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AIOps Q&A

Last month, the SNIA Cloud Storage Technologies Initiative was fortunate to have artificial intelligence (AI) expert, Parviz Peiravi, explore the topic of AI Operations (AIOps) at our live webcast, “IT Modernization with AIOps: The Journey.” Parviz explained why the journey to cloud native and microservices, and the complexity that comes along with that, requires a rethinking of enterprise architecture. If you missed the live presentation, it’s now available on demand together with the webcast slides.

We had some interesting questions from our live audience. As promised, here are answers to them all:

Q. Can you please define the Data Lake and how different it is from other data storage models?          

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