In this episode, Chris has a wide-ranging conversation with Fermyon co-founder and CEO, Matt Butcher. The main essence of the discussion is to look at serverless technologies and how storage features are integrated into that ecosystem.
Data Unpacked 007 – Exploring the Managed Database Continuum with Mat Keep from MongoDB
In this episode, Chris chats to Mat Keep (Principal Product Marketing Manager at MongoDB) about the proliferation of managed database solutions.
Storage Unpacked 241 – Kubernetes Database Performance Testing and Container Native Storage
In this podcast episode, Chris reviews the results from a recent project with Ondat, which examines the relative efficiency of container-native storage solutions running common database platforms on Kubernetes.
#228 – Exploiting Data in the Third Wave of IT Agility with Murli Thirumale (Sponsored)
In this episode, Chris talks to Murli Thirumale VP & GM of the Cloud Native Business Unit at Pure Storage about data agility.
#225 – Accelerating Modern Databases with Speedb
Chris and Martin discuss the challenges of database sharding, scaling and performance with speedb CEO Adi Gelvan.
#200 – Virtualisation, Containers, Serverless and Data
This week, Martin and Chris are joined by Jim Walker, VP of Product Marketing at Cockroach Labs. In a slight departure from a purely storage-based recording, this discussion follows the evolution of application packaging and deployment, from virtualisation to containers and serverless. The logical conclusion of any computing environment is to execute code and gradually, we are abstracting from the specifics of infrastructure and allowing the code to do the work. How will serverless technologies standardise and implement non-functional requirements such as security and credentials management, data access and most important – portability? Will de-facto …
#182 – FaunaDB – Client Serverless Computing
This week, Chris and Martin chat to Evan Weaver, CTO and co-founder at Fauna. The company has developed a database as a service, available simply through a globally available API. Fauna calls the platform “client serverless”. How can a database be made globally available and still guarantee performance, resiliency and most important, data consistency? Of course, you will need to listen to find out. As we learn in this podcast, a database accessible via API provides the ability to write applications that talk directly to the platform, with application use cases for mobile and IoT. …
#172 – Tintri SQL Integrated Storage
This week, Chris and Martin talk to Shawn Meyers, Field CTO at Tintri about SQL Integrated Storage. The Tintri VMstore platform originally provided the ability to apply policy-based management to virtual machines on shared storage. This capability has now been extended to databases, in particular Microsoft SQL Server. SQL Integrated Storage (or SIS) works by exposing an SMB share from the VMstore platform onto which database files are stored. VMstore is provided awareness of the SQL database structure and can therefore manage the QoS and data management requirements of individual files that comprise a single …
#147 – Introduction to Key Value Stores and Redis
This week, Chris and Martin look at Key-Value stores and in particular, Redis, with Kyle Davis, Head of Developer Advocacy at Redis (formerly Redis Labs). Key Value stores are at first glance a lightweight way to store structured data. As it turns out, the implementation of Redis includes significantly more features and functionality as well as multiple complex data types. Redis runs in-memory and is typically used accelerate traditional databases or store state for web-based applications. The ability to store and retrieve data from memory enables fast response times for features like shopping carts or …
#140 – Introduction to Document-Orientated Databases
This week, Chris and Martin speak to David Koppe, Director of Information Strategy at MongoDB. The discussion covers document-orientated databases, or simply document databases, and their appeal to the enterprise. Document databases differ from traditional relational databases in that the data is stored within each “document” as a series of key-value pairs. In this instance a document is not to be confused with a Word or PDF file. Unlike relational databases, document records don’t have to be “symmetrical” and aren’t required to contain every field (or a null value for empty fields). This makes the …