Redesign Autoscaling infrastructure for Event-Driven Applications
Redesigning of autoscaling infrastructure for the event driven applications helps in focus on the integrating the event driven mechanisms. This event driven mechanism dynamically responds to the workloads changes. On utilizing the tools like KEDA facilitates with efficient scaling based on the specific event triggers. It helps in ensuring the application with scaling up or down in real time as the event loads are fluctuating. The following are the some of the key points regarding the redesign autoscaling infrastructure for the event driven applications:
- Event Source Integration: It supports in connecting various resources such as Messaging Queues, Databases etc to trigger for scaling.
- Custom Metrics: It comes up with defining custom metrics to accurately measure the workload and trigger autoscaling.
- Monitoring and Logging: It set up the efficient monitoring and logging to track the performances and scaling events.
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