What is Kubeless?

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....

What is Knative?

Knative is a kubernetes based platform that comes with components such as Knative Server and Knative Eventing to facilitate in deploy, manage and scaling of serverless applications. Knative Serving helps in deploying and running the serverless workloads and Knative Eventing helps in managing the event-driven architecture. It simplifies in building, deploying and managing of serverless applications on kubernetes....

What is Kubeless?

On top of it is an open-source serverless computing technology called Kubeless. Code can be deployed using Kubeless without requiring infrastructure management. Kubeless performs auto-scaling, routing, monitoring, and troubleshooting using Kubernetes resources. It is necessary to develop and implement routines that can be accessed through three distinct trigger methods....

Kubernetes Components

For this to be implemented you’ll need the:...

How to Install Kubeless in your Kubernetes cluster?

To get started with Kubeless, you need a running Kubernetes cluster. You can use a local cluster like Minikube or a cloud-based solution such as Google Kubernetes Engine (GKE) or Amazon EKS....

How to Deploy your first Kubeless function?

The following points guides you in deploying your first kubeless function. Before diving lets understand about kubeless function and Triggers:...

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:...

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:...

Understanding of Kubernetes Custom Metrics

In Kubernetes, custom metrics supports the users in defining and collecting specific performance data tailored to their applications’ needs. Unlike built-in metrics like CPU and memory usage, custom metrics are user-defined and can represent any aspect of application performance, such as request latency, queue length, or database connections. These metrics are typically exposed by applications through APIs or other endpoints and collected by monitoring systems like Prometheus. Kubernetes Horizontal Pod Autoscaler (HPA) can then utilize these custom metrics to dynamically adjust the number of pod replicas based on workload demands, enabling more efficient and fine-grained autoscaling. Custom metrics offer greater flexibility in scaling decisions, enabling Kubernetes to adapt more precisely to diverse application requirements and workload patterns....

Best Practices of Kubeless

The following are the best practices of Kubeless:...

Diffference Between Kubernetes, Keda and HPA

The following are the differences between kubernetes, keda and HPA:...

Difference Between Kubernetes and Openshift

The following are the differences between Kubernetes and Openshift:...

Conclusion

In conclusion, serverless Kubernetes with Kubeless offers a powerful and flexible platform for building event-driven microservices. It simplifies the process of deploying, scaling, and managing serverless functions by leveraging the capabilities of Kubernetes....

Event Driven Computing Kubernetes – FAQs

What is Serverless Architecture in Kubernetes?...