The Computing Podcast Alex Feinberg & Vikram Rangnekar

Welcome to our 5rd episode. This is the second part of a two part series where go deep into the internals of Yugabyte with Karthik and Kannan. Yugabyte is a highly scalable and developer friendly open source distributed SQL database. Yugabyte is built by an Ex-Facebook team that wanted to bring what they learnt running one of the latest databases on the planet out into the open source world.

Learn more about how the shared-nothing architecture used by Yugabyte works and how the team build Postgres and other API layers on top of a highly-scalable document DB powered by their own fork of RocksDB.

Our guests for this episode are:  


Kannan Muthukkaruppan, Founder & President, Product Dev. @ Yugabyte 
Karthik Ranganathan, Founder & CTO @ YugaByte

Links:


Kudu: Storage for Fast Analytics on Fast Data - https://kudu.apache.org/kudu.pdf
Under the Hood: Building and open-sourcing RocksDB - https://www.facebook.com/notes/facebook-engineering/under-the-hood-building-and-open-sourcing-rocksdb/10151822347683920/
The Log-Structured Merge-Tree (LSM-Tree) - https://www.cs.umb.edu/~poneil/lsmtree.pdf
Amazon Aurora: Design Considerations for High Throughput Cloud-Native Relational Databases - https://dl.acm.org/doi/epdf/10.1145/3035918.3056101

Welcome to our 5rd episode. This is the second part of a two part series where go deep into the internals of Yugabyte with Karthik and Kannan. Yugabyte is a highly scalable and developer friendly open source distributed SQL database. Yugabyte is built by an Ex-Facebook team that wanted to bring what they learnt running one of the latest databases on the planet out into the open source world.

One thing I find really fascinating with Yugabyte is that they are fully compatible with Postgres, Redis and Apache Cassandra which makes it easy to replace a lot of infrastructure with just Yugabyte. Hope you enjoy the listen and remember to subscribe for many more of these deep technical discussions.

Our guests for this episode are:


Kannan Muthukkaruppan, Founder & President, Product Dev. @ Yugabyte
Karthik Ranganathan, Founder & CTO @ YugaByte

Links:


Kudu: Storage for Fast Analytics on Fast Data - https://kudu.apache.org/kudu.pdf

Under the Hood: Building and open-sourcing RocksDB - https://www.facebook.com/notes/facebook-engineering/under-the-hood-building-and-open-sourcing-rocksdb/10151822347683920/

The Log-Structured Merge-Tree (LSM-Tree) - https://www.cs.umb.edu/~poneil/lsmtree.pdf

Amazon Aurora: Design Considerations for High Throughput Cloud-Native Relational Databases - https://dl.acm.org/doi/epdf/10.1145/3035918.3056101

Welcome to our 3nd episode. This is the second part of a two part series where we walk through a stateful distributed system. Join us as we take apart the famous Apache Kafka so as to look under the hood and understand more of the amazing engineering and computer science that has gone into building it. In this part we’ll talk about Apache Zookeeper the best kept secret in a lot of open source distributed systems. We’ll also touch upon clients, atomic broadcasts and things that can hurt availability. Hope you enjoy the ride as we walk the route taken by messages through Apache Kafka. Remember to subscribe for more interesting, deep tech conversations.
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@strlen

Links

ZooKeeper: Wait-free coordination for Internet-scale systems
ZooKeeper’s atomic broadcast protocol: Theory and practice
PacificA: Replication in Log-Based Distributed Storage Systems
Bigtable: A Distributed Storage System for Structured Data
The Chubby lock service for loosely-coupled distributed systems

Welcome to our 2nd episode. This is the first part of a two part series where we walk through a stateful distributed system.  Join us as we take apart the famous Apache Kafka so as to look under the hood and understand more of the amazing engineering and computer science that has gone into building it. We’ll touch upon consensus algorithms, guarantees and the path taken by a message making its way through Kafka.
Follow us on Twitter

@dosco
@strlen

Links

Kafka design
Virtual synchrony
The Log
ZooKeeper Atomic Broadcast
Kafka Replication Design
Kafka design: replication
Amazon Aurora under the hood: quorums and correlated failure

This is the first episode of the Computing Podcast. There's massive innovation happening in all layers of the modern application. Starting from cloud substrates all the way to the edges like your browser or an IoT device. Today we begin by talking about the fourth wave of distributed systems. Going from NoSQL to NewSQL.

Follow us on Twitter


@dosco
@strlen

Links


Time, Clocks, and the Ordering of Events in a Distributed System
Paxos Consensus Algorithm
Raft Consensus Algorithm
Alex’s blog post on non-Newtonian universe of distributed systems
Amazon Aurora Design Considerations
Amazon Aurora: Parallel Query