Some organizations choose to operate their own FaaS environments using open source serverless platforms, including Red Hat® OpenShift® Serverless, which is built on the Knative project for Kubernetes.Īs a way to run containerized apps on automated infrastructure, it’s no surprise that the Kubernetes container orchestration platform is a popular choice for running serverless environments. They include Amazon Web Services with AWS Lambda, Microsoft Azure with Azure Functions, Google Cloud with multiple offerings, and IBM Cloud with IBM Cloud Functions, among others. The major public cloud providers all have one or more FaaS offerings. Under FaaS, developers still write custom server-side logic, but it’s run in containers fully managed by a cloud services provider. More commonly, when developers refer to serverless, they’re talking about a FaaS model. With BaaS, serverless functions are usually called through application programming interfaces (APIs). For instance, a cloud-provider may offer authentication services, extra encryption, cloud-accessible databases, and high-fidelity usage data. Serverless computing offerings typically fall into two groups, Backend-as-a-Service (BaaS) and Function-as-a-Service (FaaS).īaaS gives developers access to a variety of third-party services and apps. Under a serverless model, a cloud provider runs physical servers and dynamically allocates their resources on behalf of users who can deploy code straight into production. It’s possible to build an entirely serverless app, or an app composed of partially serverless and partially traditional microservices components. With serverless, routine tasks such as managing the operating system and file system, security patches, load balancing, capacity management, scaling, logging, and monitoring are all offloaded to a cloud services provider. In addition to the cost and efficiency benefits, serverless frees developers from routine and menial tasks associated with app scaling and server provisioning. The user stops paying when the code finishes executing. When an event triggers app code to run, the public cloud provider dynamically allocates resources for that code. With serverless architecture, by contrast, apps are launched only as needed. The cloud infrastructure necessary to run an app is active even when the app isn’t being used. It’s the user’s responsibility to scale up server capacity during times of high demand and to scale down when that capacity is no longer needed. Under a standard Infrastructure-as-a-Service (IaaS) cloud computing model, users prepurchase units of capacity, meaning you pay a public cloud provider for always-on server components to run your apps. Serverless apps are deployed in containers that automatically launch on demand when called. Serverless differs from other cloud computing models in that the cloud provider is responsible for managing both the cloud infrastructure and the scaling of apps.
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