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Data Archives - Software Engineering Daily - Highly Scalable NoSQL with Dor Laor

Highly Scalable NoSQL with Dor Laor

09/07/23 • 36 min

Data Archives - Software Engineering Daily

ScyllaDB is a fast and highly scalable NoSQL database designed to provide predictable performance at a massive cloud scale. It can handle millions of operations per second at a scale of gigabytes or petabytes. It’s also designed to be compatible with Cassandra and DynamoDB APIs. Scylla is used by Zillow, Comcast, and for Discord’s 350M+ users, and it continues to gain popularity in other cloud-native and highly scalable cloud-centric workloads.

Dor Laor is the Co-founder and CEO of Scylla, and he’s our guest today.

This episode is hosted by Lee Atchison. Lee Atchison is a software architect, author, and thought leader on cloud computing and application modernization. His best-selling book, Architecting for Scale (O’Reilly Media), is an essential resource for technical teams looking to maintain high availability and manage risk in their cloud environments.

Lee is the host of his podcast, Modern Digital Business, an engaging and informative podcast produced for people looking to build and grow their digital business with the help of modern applications and processes developed for today’s fast-moving business environment. Listen at mdb.fm. Follow Lee at softwarearchitectureinsights.com, and see all his content at leeatchison.com.

Sponsorship inquiries: [email protected]

Please click here to view this show’s transcript.

The post Highly Scalable NoSQL with Dor Laor appeared first on Software Engineering Daily.

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ScyllaDB is a fast and highly scalable NoSQL database designed to provide predictable performance at a massive cloud scale. It can handle millions of operations per second at a scale of gigabytes or petabytes. It’s also designed to be compatible with Cassandra and DynamoDB APIs. Scylla is used by Zillow, Comcast, and for Discord’s 350M+ users, and it continues to gain popularity in other cloud-native and highly scalable cloud-centric workloads.

Dor Laor is the Co-founder and CEO of Scylla, and he’s our guest today.

This episode is hosted by Lee Atchison. Lee Atchison is a software architect, author, and thought leader on cloud computing and application modernization. His best-selling book, Architecting for Scale (O’Reilly Media), is an essential resource for technical teams looking to maintain high availability and manage risk in their cloud environments.

Lee is the host of his podcast, Modern Digital Business, an engaging and informative podcast produced for people looking to build and grow their digital business with the help of modern applications and processes developed for today’s fast-moving business environment. Listen at mdb.fm. Follow Lee at softwarearchitectureinsights.com, and see all his content at leeatchison.com.

Sponsorship inquiries: [email protected]

Please click here to view this show’s transcript.

The post Highly Scalable NoSQL with Dor Laor appeared first on Software Engineering Daily.

Previous Episode

undefined - Database Caching with Ben Hagan

Database Caching with Ben Hagan

Database caching is a fundamental challenge in database management and there are hundreds of techniques to satisfy different caching scenarios.

PolyScale is a fully automated database cache. It offers an innovative approach to database caching, leveraging AI and automated configuration to simplify the process of determining what should and should not be cached. Ben Hagan is the founder and CEO of PolyScale and he is our guest today.

Full disclosure: PolyScale is a sponsor of Software Engineering Daily.

This episode is hosted by Lee Atchison. Lee Atchison is a software architect, author, and thought leader on cloud computing and application modernization. His best-selling book, Architecting for Scale (O’Reilly Media), is an essential resource for technical teams looking to maintain high availability and manage risk in their cloud environments.

Lee is the host of his podcast, Modern Digital Business, an engaging and informative podcast produced for people looking to build and grow their digital business with the help of modern applications and processes developed for today’s fast-moving business environment. Listen at mdb.fm. Follow Lee at softwarearchitectureinsights.com, and see all his content at leeatchison.com.

Sponsorship inquiries: [email protected]

Please click here to view this show’s transcript.

The post Database Caching with Ben Hagan appeared first on Software Engineering Daily.

Next Episode

undefined - AI and Business Analytics with John Adams

AI and Business Analytics with John Adams

It’s now clear that the adoption of AI will continue to increase, with nearly every industry working to rapidly incorporate it into their systems and applications to provide greater value to their users. Business analytics is a key domain that promises to be radically reshaped by AI.

Alembic is an AI platform that integrates web data, product conversion metrics, and social media to guide business decision making. John Adams is the Co-founder and Chief Innovation Officer at Alembic, and he joins the podcast to talk about data and engineering at the company. This episode is hosted by Lee Atchison. Lee Atchison is a software architect, author, and thought leader on cloud computing and application modernization. His best-selling book, Architecting for Scale (O’Reilly Media), is an essential resource for technical teams looking to maintain high availability and manage risk in their cloud environments. Lee is the host of his podcast, Modern Digital Business, an engaging and informative podcast produced for people looking to build and grow their digital business with the help of modern applications and processes developed for today’s fast-moving business environment. Listen at mdb.fm. Follow Lee at softwarearchitectureinsights.com, and see all his content at leeatchison.com.

Please click here to view this show’s transcript.

Sponsorship inquiries: [email protected]

The post AI and Business Analytics with John Adams appeared first on Software Engineering Daily.

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