Cloud, Big Data, and the Internet of Things

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A History of Docker Containers and the Birth of Microservices by Scott Willson From the conception of Docker containers to the unfolding microservices revolution we see today, here is a brief history of what I like to call 'containerology'. In 2013, we were solidly in the monolithic application era. I had noticed that a growing amount of effort was going into deploying and configuring applications. As applications had grown in complexity and interdependency over the years, the effort to install and configure them was becoming significant. But the road did not end with a single deployment, no, the installation and configuration work was repeated over and over again, not only for each software release but for each and every environment that we promote applications to until finally being deposited into production, where this we repeat this exercise one last time. Wha... (more)

Difference Between a Data Lake and a Data Warehouse | @BigDataExpo #BigData #DataLake #Storage

What Is the Difference Between a Data Lake and a Data Warehouse? By Dave Kellermanns The data warehouse and data lake are two different types of data storage repository. The data warehouse integrates data from different sources and suits business reporting. The data lake stores raw structured and unstructured data in whatever form the data source provides. It does not require prior knowledge of the analyses you think you want to perform. What is a Data Lake? A data lake is a storage repository that holds a vast amount of raw data in its native format until it is needed. While a hie... (more)

Art of Rollback | @DevOpsSummit #API #APM #DevOps #ContinuousTesting

Art of Rollback III: Rollback Strategies Through the Ages By Pierre-Boris Bonafous Let's recap what we learned from the previous chapters in the series: episode 1 and episode 2. We learned that a good rollback mechanism cannot be designed without having an intimate knowledge of the application architecture, the nature of your components and their dependencies. Now that we know what we have to restore and in which order, the question is how? There are always different possible strategies available to restore your services. The only criteria for deciding which one to choose is speed... (more)

Agile Analytics | @DevOpsSummit #DevOps #BigData #ContinuousDelivery

Five Key Requirements for Enabling Agile Analytics By Yann Guernion In today's digital economy, companies are faced with a fast data challenge as well as a Big Data one. As a result they are under pressure to adapt their analytics processes and data flows at pace to move beyond traditional data warehouse silos. Big Data projects are either too big or too complex to handle the traditional way. That's why most projects by companies at the start of their Big Data initiative have no process at all. Waterfall approaches are notably inefficient as you probably won't have access to prop... (more)

Does the Future of DevOps Lie in NoOps? By @YannGuernion | @DevOpsSummit #DevOps

Does the Future of DevOps Lie in NoOps? By Yann Guernion DevOps is one of those buzzwords that nearly everyone wants to discuss these days. However, it is often interpreted as an extension of Development's influence to the detriment of Operations teams. So much has changed in the past few years that it is conceivable we will see another major shakeup: Could Operations teams disappear altogether? Or to put it another way, is ‘NoOps' the future of IT? While DevOps promotes a speed-up in delivery of new digital services and a blurring of the lines between Dev and Ops, in reality is ... (more)