431kku4808/7/2023 ![]() ![]() ![]() The other core component of Knative is called Knative Eventing. Knative Serving is the component in Knative that manages the deployment and rollout of stateless services, plus its networking and autoscaling requirements. The deployment and management of the containerized app is handled by one of the core components of Knative, called Knative Serving. You give it a container image to run and Knative handles every other component needed to run and scale the application. The basic deployment unit for Knative is a container that can receive incoming traffic. In fact, it powers the Google Cloud Run platform, IBM Cloud Code Engine, and Scaleway serverless functions. It provides an event-driven platform that can be used to deploy and run applications and services that can auto-scale based on demand, with out-of-the-box support for monitoring, automatic renewal of TLS certificates, and more. Knative is a set of Kubernetes components that provides serverless capabilities. This article will show you how to run serverless functions using Knative and Kubernetes. There are different open-source platforms, such as Knative and OpenFaaS, that use Kubernetes to abstract the infrastructure from the developer, allowing you to deploy and manage your applications using serverless architecture and patterns. You could be in a situation where you're only allowed to run applications within a private data center, or you may be using Kubernetes but you'd like to harness the benefits of serverless. I come at this with a different perspective that may not be evident at the moment. ![]() Using Kubernetes requires some infrastructure management overhead and it may seem like a conflict putting serverless and Kubernetes in the same box. It takes care of autoscaling and automatic failover for your application and it provides deployment patterns and APIs that allow you to automate resource management and provision new workloads. Kubernetes, on the other hand, provides a set of primitives to run resilient distributed applications using modern container technology. No server management is required and you can benefit from automated scaling, elastic load balancing, and the “pay-as-you-go” computing model. Developers benefit from this paradigm by focusing on code and shipping a set of functions that are triggered in response to certain events. It's a cost-efficient way to implement microservices. Serverless functions are modular pieces of code that respond to a variety of events. ![]()
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