Aly Cabral's guest appearances

Aly Cabral

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Many applications we use are distributed systems. Some examples are ATM systems, social media and currency trading. Depending on the type of application, we might need to process system events in a logical order also known as causal order. Aly Cabral, Lead Product Manager at MongoDB, explained how causal order is implemented in a database system. We talked about several design implementations that she and her team at MongoDB considered. Aly explained concepts like distributed systems, clock synchronization and dependency tracking. MongoDB is a sponsor of the show.

Database Systems (Aly Cabral)

Modern databases consist of multiple servers that host the data in a distributed fashion. Using multiple servers allows a database to be resilient to the failure of any one database node, because copies of the data are shared to other servers. A multi-node setup also lets the database grow beyond the size of data that could be hosted on a single node.Although a distributed database gains in scalability and resiliency, a database that runs across multiple nodes has a variety of problems that are not faced by a database running on a single node. Every operation with a distributed database becomes more complex than the single-node database.For example, if you make a query to your distributed database, you might not be able to rely on the answer that you get from a single database node, because the other database nodes might have been involved in transactions that have not propagated to all of the nodes.Aly Cabral is a lead product manager at MongoDB and co-author of a paper on causal consistency in MongoDB. Aly joins the show to discuss the engineering of distributed databases and her experience architecting MongoDB. Full disclosure: MongoDB is a sponsor of Software Engineering Daily.

Modern databases consist of multiple servers that host the data in a distributed fashion. Using multiple servers allows a database to be resilient to the failure of any one database node, because copies of the data are shared to other servers. A multi-node setup also lets the database grow beyond the size of data that could be hosted on a single node.Although a distributed database gains in scalability and resiliency, a database that runs across multiple nodes has a variety of problems that are not faced by a database running on a single node. Every operation with a distributed database becomes more complex than the single-node database.For example, if you make a query to your distributed database, you might not be able to rely on the answer that you get from a single database node, because the other database nodes might have been involved in transactions that have not propagated to all of the nodes.Aly Cabral is a lead product manager at MongoDB and co-author of a paper on <a href="https://dl.acm.org/citation.cfm?id=3314049" rel="nofollow" target="_blank">causal consistency in MongoDB</a>. Aly joins the show to discuss the engineering of distributed databases and her experience architecting MongoDB. Full disclosure: MongoDB is a sponsor of Software Engineering Daily.

Distributed Databases with Aly Cabral

Modern databases consist of multiple servers that host the data in a distributed fashion. Using multiple servers allows a database to be resilient to the failure of any one database node, because copies of the data are shared to other servers. A multi-node setup also lets the database grow beyond the size of data that could be hosted on a single node. Although a distributed database gains in scalability and resiliency, a database that runs across multiple nodes has a variety of problems that are not faced by a database running on a single node. Every operation with a distributed database becomes more complex than the single-node database. For example, if you make a query to your distributed database, you might not be able to rely on the answer that you get from a single database node, because the other database nodes might have been involved in transactions that have not propagated to all of the nodes. Aly Cabral is a lead product manager at MongoDB and co-author of a paper on causal consistency in MongoDB. Aly joins the show to discuss the engineering of distributed databases and her experience architecting MongoDB. Full disclosure: MongoDB is a sponsor of Software Engineering Daily. Sponsorship inquiries: sponsor@softwareengineeringdaily.com Check out our active companies and projects:  FindCollabs is a place to find collaborators and build projects. Find a project to work on Podsheets is an open source podcast hosting platform built with the learnings from Software Engineering Daily. Our goal is to be the best place to host and monetize your podcast. If you have been thinking about starting a podcast, check out podsheets.com.  The SEDaily app for iOS and Android includes all 1000 of our old episodes, as well as related links, greatest hits, and topics. Subscribe for ad-free episodes.  The post Distributed Databases with Aly Cabral appeared first on Software Engineering Daily.

Modern databases consist of multiple servers that host the data in a distributed fashion. Using multiple servers allows a database to be resilient to the failure of any one database node, because copies of the data are shared to other servers. A multi-node setup also lets the database grow beyond the size of data that could be hosted on a single node. Although a distributed database gains in scalability and resiliency, a database that runs across multiple nodes has a variety of problems that are not faced by a database running on a single node. Every operation with a distributed database becomes more complex than the single-node database. For example, if you make a query to your distributed database, you might not be able to rely on the answer that you get from a single database node, because the other database nodes might have been involved in transactions that have not propagated to all of the nodes. Aly Cabral is a lead product manager at MongoDB and co-author of a paper on <a href="https://dl.acm.org/citation.cfm?id=3314049" rel="nofollow" target="_blank">causal consistency in MongoDB</a>. Aly joins the show to discuss the engineering of distributed databases and her experience architecting MongoDB. Full disclosure: MongoDB is a sponsor of Software Engineering Daily. Sponsorship inquiries: <a href="mailto:sponsor@softwareengineeringdaily.com">sponsor@softwareengineeringdaily.com</a> <h2>Check out our active companies and projects:</h2> <ul> <li><a href="https://findcollabs.com/" rel="nofollow" target="_blank">FindCollabs</a> is a place to find collaborators and build projects. Find a project to work on</li> <li><a href="http://podsheets.com" rel="nofollow" target="_blank">Podsheets</a> is an open source podcast hosting platform built with the learnings from Software Engineering Daily. Our goal is to be the best place to host and monetize your podcast. If you have been thinking about starting a podcast, check out <a href="http://podsheets.com" rel="nofollow" target="_blank">podsheets.com</a>. </li> <li><a href="https://itunes.apple.com/us/app/software-engineering-daily/id1253734426?mt=8" rel="nofollow" target="_blank">The SEDaily app for iOS</a> and <a href="https://play.google.com/store/apps/details?id=com.koalatea.sedaily" rel="nofollow" target="_blank">Android</a> includes all 1000 of our old episodes, as well as related links, greatest hits, and topics. <a href="https://softwareengineeringdaily.com/subscribe" rel="nofollow" target="_blank">Subscribe</a> for ad-free episodes.</li> </ul> The post <a href="https://softwareengineeringdaily.com/2019/09/18/distributed-databases-with-aly-cabral/" rel="nofollow" target="_blank">Distributed Databases with Aly Cabral</a> appeared first on <a href="https://softwareengineeringdaily.com" rel="nofollow" target="_blank">Software Engineering Daily</a>.