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a16z Podcast | Dumb Storage Gets Smart

a16z2019-01-02
31 views|5 years ago
💫 Short Summary

Data Gravity was founded in 2012 by Peter Levine and Paula Long to revolutionize storage automation and intelligence in the data center. The focus is on shifting towards smarter data center management, emphasizing automation and intelligent storage solutions. The evolution of storage technology towards data intelligence is highlighted, with a transition to more efficient architecture and the importance of addressing foundational issues. The future of storage companies will offer data-informing and protective services, becoming more of a commodity. The smart data center model involves storing data based on user consumption, with a mix of on-premise, MetroCard, and public cloud setups.

✨ Highlights
📊 Transcript
Data Gravity founded in 2012 to address lack of innovation in storage automation.
01:42
Company aims to make infrastructure smarter and more intelligent in the data center.
Peter Levine and Paula Long collaborate, bringing expertise in storage industry.
Goal is to provide value and mitigate risk in data storage, moving away from traditional container-based approaches.
Innovative approach signifies a shift towards smarter data center management, emphasizing automation and intelligent storage solutions.
Evolution of storage technology towards data intelligence.
03:30
Storage technology has evolved from being relatively dumb to more intelligent, with a focus on data awareness and intelligence within storage arrays.
Shift from traditional focus on speeds, feeds, and capacity to data intelligence, with advancements like solid-state storage.
Introduction of Data Gravity as a solution that revolutionizes storage by moving intelligence from files to data intelligence.
Importance of the shift towards more intelligent systems in storage technology highlighted by the speaker.
Transition from traditional storage architecture to a more efficient one.
08:11
Importance of developing a new architecture before integrating new tools for better performance.
Shift initially deemed impossible in 2011-2012 due to limitations of existing storage architecture.
Advancements in technology and a fresh approach made the transition feasible.
The cloud was not a significant factor in this evolution, with Moore's Law playing a minor role in enabling the change.
Importance of evolving storage architecture for scalability and adaptability.
09:09
Addressing foundational issues before scaling up is crucial for success.
Value of file analytics in efficiently managing large amounts of data and ensuring data uptime for quick access and reuse.
Data privacy concerns for companies of all sizes, stressing the importance of proper management of unstructured data to avoid compliance issues and potential fines.
Importance of Data Gravity in Storage Solutions
13:15
Data gravity is emphasized as a key concept for leveraging assets effectively and efficiently.
The shift towards integrating intelligence into storage solutions is highlighted as the next wave of storage innovation.
Speakers express confidence in data gravity becoming a foundational element in future storage systems, simplifying complexity and providing valuable insights.
Intelligence is predicted to permeate every layer of technology, leading to improved capabilities and efficiency in networks and applications.
The future of storage companies will focus on value and data protection.
16:50
Companies will move towards offering data-informing and protective services over traditional storage boxes.
The storage market will also include aspects like backup, disaster recovery, and data gravity.
Technology advancements will lead to software-defined storage solutions like those offered by Mike Sand.
The focus will be on catering to the changing needs of storage consumers.
Future data center will be bifurcated into non-prime private and public cloud based on data type and value.
17:50
Storage evolution will be more seamless and value-based, with tearing based on content rather than blocks.
Metro clouds will cater to small and medium businesses with local cloud services.
Data center structure will vary based on data proximity and access rates, with a mix of on-premise, MetroCard, and public cloud setups.
Storage tearing will be tiered according to information importance and value.
The concept of the smart data center involves storing less important data in the cloud and highly secure information on-premises or in secure data centers.
20:15
This approach focuses on where data is most appropriate to reside based on user consumption.
Innovation by companies like Data Gravity is crucial for achieving this data center model.
The importance of data residing in the right place is highlighted and its impact on storage strategies going forward is discussed.