Standardized Serverless ML Inference Platform on Kubernetes
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Updated
Jul 25, 2024 - Python
Standardized Serverless ML Inference Platform on Kubernetes
Running AWS Lambda Functions on Knative/Kubernetes Clusters
Event-based Orchestration of Serverless Workflows
A suite of representative serverless cloud-agnostic (i.e., dockerized) benchmarks
A research project on running ML inferencing on KNative
parse json logs nicely
Easily deploy inference models to dev, test, and production at scale
Introduction to Container Sources for Knative
A python framework to create event driven, context aware, and reactive microservices in a Kubernetes cluster using knative
Run serverless workloads with Knative on Confidential Containers
Pointvy is a simple web frontend for Trivy vulnerability scanner.
The knapsack problem is a problem in combinatorial optimization: Given a set of items, each with a weight and a value, determine the number of each item to include in a collection so that the total weight is less than or equal to a given limit and the total value is as large as possible
knt is a simple utility for working with Knative Build.
Toy kubernetes clusters illustrating kubernetes concepts
Serverless app designed for knative to crud ops for dynamodb
Example Knative Python function for receiving a custom json event (payload) which will be transformed into a CloudEvent.
Serverless function recognize image using AWS Rekognition and if its dog it sends to my whatsapp number using Twilio
"Office Space" style app, composed of microservices that run on Cloud Run, Cloud Run on GKE, and Knative
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