{"id":8659,"date":"2018-08-30T07:00:54","date_gmt":"2018-08-30T15:00:54","guid":{"rendered":"http:\/\/formtek.com\/blog\/?p=8659"},"modified":"2018-06-29T07:13:29","modified_gmt":"2018-06-29T15:13:29","slug":"serverless-computing-re-engineering-the-cloud-to-be-serverless","status":"publish","type":"post","link":"https:\/\/formtek.com\/blog\/serverless-computing-re-engineering-the-cloud-to-be-serverless\/","title":{"rendered":"Serverless Computing: Re-engineering the Cloud to be &#8216;Serverless&#8217;"},"content":{"rendered":"<p><a href=\"https:\/\/en.wikipedia.org\/wiki\/Serverless_computing\">Serverless computing<\/a> doesn&#8217;t mean that there aren&#8217;t servers.\u00a0 It means that the infrastructure needed to be provisioned in order to run computing jobs is automatic.\u00a0 The focus is on the application or service and not on the server hardware or operating system.\u00a0 Serverless systems try to correctly match the RAM, CPU and bandwidth requirements for the computing task and to scale as needed to match the requirements.\u00a0 All the scaling, provisioning, and patching is handled for you.<\/p>\n<p>Amazon was the leader with the serverless concept, but now all the large cloud vendors offer it in some form.\u00a0 There is Amazon AWS Lambda, Microsoft Azure Cloud Functions, Google Cloud Functions, and IBM OpenWhisk on Bluemix.\u00a0 Other smaller vendors like Terraform, Fission and Fn also have offerings.<\/p>\n<p>It&#8217;s not just services.\u00a0 Amazon has, for example, a <a href=\"https:\/\/aws.amazon.com\/rds\/aurora\/serverless\/\">serverless version of its cloud database Aurora<\/a>.\u00a0 The database can scale to 64TB of storage based on the requirements of the application.<\/p>\n<p><a href=\"https:\/\/www.infoworld.com\/article\/3284410\/cloud-computing\/serverless-cloud-computing-is-the-next-big-thing.html\">Increasingly we can expect<\/a> a variety of other cloud services to be reengineered to use a serverless approach. 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