This week Chris is in Silicon Valley and catches up with Rawlinson Rivera, Field CTO at Cohesity. The company recently released a new feature called Marketplace that enables customers to run data-focused applications directly on the Cohesity platform.
The idea of running applications on data protection hardware has some benefits and potential disadvantages. Naturally, the focus is to provide a single point of truth for secondary data, reducing the risk of having many teams and departments storing their own data copy. But is DataPlatform capable of delivering the performance requirements of AI and ML?
Rawlinson takes us through some of the company strategy and sets the scene for what could be coming up in the future. We could speculate that Marketplace could run on public cloud and even be a profit centre for the business. We will have to wait and see.
You can find more details on Marketplace at the Cohesity website. Here’s a link to the Tech Field Day website where you can find a great introduction to Marketplace.
Elapsed Time: 00:31:11
Timeline
- 00:00:00 – Intros
- 00:01:20 – Background, what is the Cohesity DataPlatform?
- 00:04:00 – Perhaps “secondary” isn’t the right term.
- 00:05:30 – What is the Cohesity Marketplace?
- 00:09:01 – What applications does the platform run?
- 00:11:24 – How is useful data extracted from virtual machines?
- 00:14:00 – Are the marketplace applications free?
- 00:17:09 – Marketplace enables application consolidation
- 00:18:00 – Marketplace could become a profit centre
- 00:19:40 – DataPlatform is totally API driven, apps via SDK
- 00:23:00 – Is the process of managing apps a scalable one?
- 00:25:29 – What examples are there of customer use cases?
- 00:26:41 – How does Imanis Data fit into the platform?
- 00:28:44 – Wrap Up
Related Podcasts & Blogs
- #104 – Creating a Data Management Strategy with Paul Stringfellow
- #81 – Storage or Data Asset Management?
- The $2 billon Gamble on Data Management
- The Need for APIs in Storage and Data Protection
Copyright (c) 2016-2019 Storage Unpacked. No reproduction or re-use without permission. Podcast episode #E512.
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