What is KEDA?
KEDA is a kubernetes-based event driven autoscaler. It helps in scaling the applications based on the events from various sources such as Messaging Queue, Databases etc.. It works through monitoring the event sources and adjust the number of kubernetes pods accordingly. On using the KEDA in kubernetes users can use various event sources such as Azure Queue, RabbitMQ, Prometheus metrics and many more. KEDA integrates seamlessly with kubernetes and can scale any container not just functions only.
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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