Foreword
Amazon Web Services changed the cloud computing landscape in November of 2014 when it launched a new service called Lambda. It offered developers the intriguing possibility of processing thousands of events concurrently, simply by registering functions as event handlers. With Lambda, functions execute on-demand and scale instantly and costs are proportional to actual resource utilization. This new model of computing was dubbed “serverless” because it let developers eschew all aspects of server-side development and operations—including infrastructure management, resource provisioning, and scaling.
Amazon showed that in the era of managed infrastructure and services, cloud providers can free developers from low-level operational burdens and let them focus on what matters most: delivering real business value to their organizations. Serverless computing is the foundation of a cloud-native transformation that is ongoing in the industry. It is the way cloud applications are being built and will largely be built in the future. There are now more than a trillion functions processed every month on Amazon alone for a wide variety of applications from IoT, web applications, machine learning, and high-performance computing.
At IBM Research, my group took notice of the Lambda announcement, and we quickly realized the value of the serverless promise. So in February 2015, we set out to build a serverless platform for the IBM Cloud. The project was code-named Whisk, as in “to move nimbly ...
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