cloudnative
By Travis Van When Docker burst onto the scene in 2013, Linux containers seemed like an overnight success. But the evolution to containers—and microservices and Kubernetes—was actually decades in the making, based on kernel primitives in the Linux operating system. Docker used these primitives, namely cgroups and namespaces, as building blocks to create a lightweight, easy-to-use software packaging format. Linux containers had been used by Google and others [the cognoscenti?] for many years, but Docker made them easily accessible to mainstream developers. And that’s what we’re seeing today aro...
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By Sergey Pronin June 6th is the official 10th anniversary of the launch of Kubernetes. Kubernetes was built as a container management and orchestration platform that would make it easier to manage all of the software containers within microservices applications. Based on Borg, Google’s internal container management service that handled thousands of instances, Kubernetes eventually was released as open source for others to take advantage of for running containers. It’s worth thinking back to 2014 when Kubernetes was one of many different approaches to managing containers that were being launch...
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By Prince Mahajan When we set out to rebuild the engine at the heart of our managed Apache Kafka service, we knew we needed to address several unique requirements that characterize successful cloud-native platforms. These systems must be multi-tenant from the ground up, scale easily to serve thousands of customers, and be managed largely by data-driven software rather than human operators. They should also provide strong isolation and security across customers with unpredictable workloads, in an environment in which engineers can continue to innovate rapidly. We presented our Kafka engine rede...
Info World
By Prince Mahajan When we set out to rebuild the engine at the heart of our managed Apache Kafka service, we knew we needed to address several unique requirements that characterize successful cloud-native platforms. These systems must be multi-tenant from the ground up, scale easily to serve thousands of customers, and be managed largely by data-driven software rather than human operators. They should also provide strong isolation and security across customers with unpredictable workloads, in an environment in which engineers can continue to innovate rapidly. We presented our Kafka engine rede...
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By Travis Van Back in 2014, when the wave of containers, Kubernetes, and distributed computing was breaking over the technology industry, Torkel Ödegaard was working as a platform engineer at eBay Sweden. Like other devops pioneers, Ödegaard was grappling with the new form factor of microservices and containers and struggling to climb the steep Kubernetes operations and troubleshooting learning curve. As an engineer striving to make continuous delivery both safe and easy for developers, Ödegaard needed a way to visualize the production state of the Kubernetes system and the behavior of users. ...
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