cloud

Dev and Test Agility for your Database with Docker

Agile practices teach us how to deal with evolving applications but so often the data store is overlooked as a component of your application lifecycle. Database servers are monolothic, resource intensive and mostly viewed as set in stone. Encapsulating your database server in a container and your database in a storage container can dramatically lighten …

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Setting Up Databases on Kubernetes

Kubernetes now supports StatefulSets and CRDs, one of the next logical steps is to run databases on it. But why should I do that in the first place? How hard is it? What are the challenges? Is it production ready?

Analyzing Billions of Data Rows

Got lots of data? So does Amaysim, a leading Australian telecom provider, with its billions of rows of data. The organization successfully empowers its small team of data analysts with self-service data analytics platforms so they can easily access the data they need, perform advanced analytics, and visualize findings for all stakeholders.

Build a Data Lake on Amazon Cloud

Conceptually, a data lake is a flat data store to collect data in its original form, without the need to enforce a predefined schema. Instead, new schemas or views are created “on demand”, providing a far more agile and flexible architecture while enabling new types of analytical insights. AWS provides many of the building blocks …

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