The creation of many competing, complementary and supporting container technologies has followed in the wake of Docker, and this has led to much hype and some disillusion around this space. This eMag aims to cut through some of this confusion and explain the essence of containers, their current use cases, and future potential.
In this e-mag, we explore some of those patterns through testimonies from their practitioners and through analysis by consultants in the field who have been exposed to multiple DevOps adoption initiatives.
This eMag aims at providing an overview of an example set of tools that would constitute a typical toolchain. These are popular tools today, but you should look at them as illustrations of the kind of tasks and workflows you might need to perform in your organization as you move along a DevOps path.
This eMag examines topics such as how Twitter re-architected its code-base to improve stability and performance, the approaches Netflix uses to be hyper-resilient, and how Java is replacing C++ for low latency coding. We also look at some lower level tricks such as feedback controls for auto-scaling, and using memory and execution profiling to identify performance bottlenecks in Java.
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