The infrastructure that runs your applications can be nearly as complex as the applications it supports. This complexity generally scales with the resilience of the architecture of your application, the scaling needs, and any security concerns. Thus, successful infrastructure for traditional applications often relies on a comprehensive tooling suite that allows the infrastructure engineers to iterate upon and improve your application’s resources.
Orchestrating and composing multiple services in a distributed architecture is not easy. Before we move along with the great solution offered by vending-machines to our distributed architectures, we need to understand what solutions and values we’re looking for. In a serverless environment, there are at least three desired properties of any distributed services implementation.
In our latest article on the Amazon Builders’ Library, Yan Cui highlights the main takeaways from the article, Implementing health checks, by AWS Principal Engineer David Yanacek.
Come January, pretty much any current tech keyword you type into Google News will result in hundreds of prediction op-eds and roundups. The fact that it’s an entirely new decade has amplified this phenomenon and serverless is no exception. As the CEO of a company dedicated to helping software teams build, manage, and deliver serverless applications, it’s a joy to read these posts by some of the brightest minds in the industry.
Serverless development opens lots of new opportunities, and if you’re invested in serverless (or you’ve been following the hype) you’ll know that cost efficiency is principal among those benefits. Simply put, we can save money by choosing the right tool for the right task. Since a distributed microservices architecture is made up of many managed services it’s a simple task to change out the building blocks of a particular application flow.
Local prototyping has become de rigueur for most web stack developers in the last few years. Even complex web backends are generally assumed to be emulatable from a developer’s laptop. But this assumption breaks down a bit as we explore the AWS platform in general. More specifically, serverless architecture challenges the system of local prototyping.