tldr - powered by Generative AI

• Encrypting internal traffic inside the cluster is necessary to prevent unauthorized access and scaling issues
• Keda introduces mechanisms for automatically generating TLS certificates and supports the use of custom CA
• Validation webhooks prevent scaling conflicts and ensure that required metrics are present
• Managed identities are a secure way to connect to cloud provider infrastructure
• Exposing metrics is critical for monitoring Keda's performance

tldr - powered by Generative AI

• Serverless computing is a deployment model that abstracts the way applications are deployed on infrastructure, provides auto-scaling capabilities, and has a simplified development and deployment model.
• Functions are a programming model that has a certain function signature that needs to be matched to deploy the function.
• The presentation showcases the use of Knative Serving and Eventing building blocks, CNCF Buildpacks, Tekton Pipelines, and Camel-K for processing Amsterdam city data.
• Developers can benefit from serverless concepts and still be able to deploy across multiple cloud environments.
• The demo includes a react application with a node.js backend that emits cloud events and exposes rest APIs.
• The presentation highlights the benefits of using serverless computing for event-driven applications that scale on demand and consume just the right amount of resources.
• The demo showcases the use of serverless functions for adding real-time capabilities to applications.
• The presentation emphasizes the user-friendliness of the solution, with no Dockerfiles or YAML editing required.
• The presentation includes a live demo of the solution in action.

tldr - powered by Generative AI

• Kedro is an open-source software tool for building data pipelines that is currently an incubating project of CNCF
• It provides auto-scaling deployments for Kubernetes deployments and jobs based on events, with a focus on not manipulating data
• The project has over 190 contributors and is proud of its diverse user base
• Future plans include caching metric values, solving the limitation of only one extension point for metric server in Kubernetes clusters, and integrating cloud events