Diffference Between Kubernetes, Keda and HPA
The following are the differences between kubernetes, keda and HPA:
Features |
Kubernetes |
KEDA |
HPA (Horizantal Pod Autoscaler) |
---|---|---|---|
Purpose |
Kubernetes is a container orchestration platform |
KEDA is an extension of kubernetes with autoscaling supporting with event driven workloads. |
HPA is a native kubernetes features used for scaling based on the resource metrics. |
Scaling Mechanism |
It scales the applications based on the CPU, memory usage |
It scales based on the external event from the sources like queues and databases. |
It scales based on the CPU, memory usage or custom metrics. |
Event-Driven |
Their is no native support for event-driven autoscaling. |
It is specially designed for even-driven autoscaling. |
It relies on the resource metrics rather than events for scaling decisions. |
Use Cases |
It generally used in orchestrating the containerized applications |
KEDA is ideal for event-driven workloads such as processing and stream processing. |
It is suitable for applications with predictable scaling patterns based on the resource usage. |
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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