Another benefit of the hyperscale clouds is their operational expertise and their infrastructure design. They can spin up a new server instance in seconds, providing compute on demand. And with container technologies, they’re able to quickly switch in new isolated environments and scale them up as necessary.

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That’s where serverless technologies come in, building on those skills and the processes to rapidly launch small, stateless processes as necessary. Like much cloud-native development, these serverless processes are event driven, responding to messages, processing their contents, and passing

Kubernetes is just the latest example of a powerful technology that can provide a solid solution in many instances. Although it may seem like all the cool kids are choosing Kubernetes-related technology, it’s not right for every application. When a technology has such a huge following that its use becomes a forgone conclusion, that’s when mistakes are made and projects get derailed. 

Most enterprises that are moving to cloud-based platforms will consider using containers and Kubernetes. Many enterprises using cloud already are also using Kubernetes. Kubernetes does provide many resources that make it easier to manage and scale distributed systems,

Twitter has tried a variety of fact-checking measures in the past few years, but these normally only apply to tweets from prominent accounts or popular topics. Now the company wants to add context and labels to more tweets by implementing a community-driven fact-checking system called Birdwatch.

To start, a group of contributors will be able to “respond quickly when misleading information spreads, adding context that people trust and find valuable.” Currently, this context will be available on a dedicated Birdwatch page, but the eventual goal is to make these notes available right on Twitter once “there is a