Cloud, Big Data, and the Internet of Things

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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 proper staging environment and only limited time and scale for qualification. Big Data and DevOps Big Data implicitly promotes DevOps because there is no ability to separate Operations from Development when you ultimately discover the relevance of your algorithms at the production stage. It is in... (more)

What Is Bimodal IT? | @DevOpsSummit #Agile #DevOps #DigitalTransformation

What Is Bimodal IT? By Courtney Glymph Gartner's concept of Bimodal IT argues that for successful digital transformation, IT needs to split into two parts: mode 1 for maintaining and modernizing traditional back-end IT services and mode 2 for agility in building front-end, digital apps. This allows IT to respond to the digital divide emerging in their organizations by operating in two coherent but deeply different modes. With DevOps changing the way digital apps are built, traditional "waterfall" methodologies look clunky and outdated. However, rather than making old-school, st... (more)

Why DevOps Transformation Produces Happiness | @DevOpsSummit #APM #DevOps #ContinuousDelivery

Three Reasons Why DevOps Transformation Produces Happiness By Charlie Coffey "It is not necessary to change. Survival is not mandatory." - W. Edwards Deming. How often do we see this quote used in DevOps blogs without a hint of irony? It's as if we need to instantly complete generations of evolution to stave off extinction, like trying to grow an extra lung overnight. DevOps or Die!!! So this is it - the dreaded DevOps transformation looms large. The department will be ‘shaken up', practices will be ‘turned on their head', and staff will be ‘taken out of their comfort zone'. It's... (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)

Docker Containers and #Microservices | @DevOpsSummit #DevOps #Docker

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 d... (more)