Integrate KEDA with Knative
The integration of KEDA with Knative provides the enhanced scalability for the serverless applications by providing event-driven autoscaling. This integration improves the ability of KEDA to scale the kubernetes deployments based on the external events and Knative’s serverless platform. It provides a seamless solution for efficient management of workloads. The following are the some of the key insights on integration of KEDA with Knative:
- Event-Driven Autoscaling: On using KEDA, we can setup automatic sclaing of knative services based on the events from the sources like Kafka, RabbitMQ and databases.
- Seamless Deployment: It deploys the KEDA as a part of Knative setup enhancing its autoscaling capabilities without interrupting the existing workflows.
- Operational Simplicity: This integration helps in simplifying the operations by combining the strengthsof KEDA’s event-driven model with Knative’s serverless deployment model.
Serverless Kubernetes With Kubeless : Event-Driven Microservices
The concept is the same whether it is referred to as Serverless, Event-driven computing, or Functions As A Service (FaaS) dynamically assigns resources to run distinct functions, or microservices, that are triggered by events. Application developers can concentrate on the application rather than the underlying infrastructure and all of its maintenance aspects thanks to serverless computing platforms.
Although serverless platforms are offered by most cloud providers, you may create your own with just two materials. One is the container orchestration system Kubernetes, which has established itself as a common foundation for developing resilient, componentized systems. The second is any of several systems that Kubernetes uses to create serverless application patterns.
Table of Content
- What is KEDA?
- What is Knative?
- What is Kubeless?
- Kubernetes Components
- How to Install Kubeless in your Kubernetes cluster?
- How to Deploy your first Kubeless function?
- Redesign Autoscaling infrastructure for Event-Driven Applications
- Integrate KEDA with Knative
- Understanding of Kubernetes Custom Metrics
- Best Practices of Kubeless
- Diffference Between Kubernetes, Keda and HPA
- Difference Between Kubernetes and Openshift
- Conclusion
- Event Driven Computing Kubernetes – FAQs
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