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Software Quality Mashup: 5 Software Development Stories To Get You Through the Dog Days of Summer

As the dog days of summer slowly creep along it can be easy to fall into slumps of complacency and - let’s be honest with ourselves - laziness. But don’t fret, we’re here to help...

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More Stories By Alex Forbes

Alex Forbes is a B2B software marketing leader with experience in analyst relations, content marketing and product marketing. He follows the IoT, rapid application development, and cloud markets to help customers improve their digital transformation initiatives, customers' buyer journeys and experience from both an IT and business perspective.

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Poor data quality and analytics drive down business value. In fact, Gartner estimated that the average financial impact of poor data quality on organizations is $9.7 million per year. But bad data is much more than a cost center. By eroding trust in information, analytics and the business decisions based on these, it is a serious impediment to digital transformation.
Containers and Kubernetes allow for code portability across on-premise VMs, bare metal, or multiple cloud provider environments. Yet, despite this portability promise, developers may include configuration and application definitions that constrain or even eliminate application portability. In this session we'll describe best practices for "configuration as code" in a Kubernetes environment. We will demonstrate how a properly constructed containerized app can be deployed to both Amazon and Azure using the Kublr platform, and how Kubernetes objects, such as persistent volumes, ingress rules, and services, can be used to abstract from the infrastructure.