KFServing

KFServing is an open-source project designed to simplify the deployment and management of machine learning models on Kubernetes. It provides a standardized way to serve models, enabling developers to easily expose their models as RESTful APIs. KFServing supports various frameworks, including TensorFlow, PyTorch, and Scikit-learn, allowing for flexibility in model choice. Key features include automatic scaling, rollout of new model versions, and integration with advanced capabilities like A/B testing and canary deployments. By leveraging Kubernetes’ orchestration capabilities, KFServing enhances the efficiency and reliability of serving machine learning models in production environments.

Building a Network File Storage (NFS) inside Kubernetes

 Level Up Coding

A short example on setting up a NetworkFileStorage (NFS) inside your Kubernetes cluster and accessing it from your applications. Differently to my usual tutorials I won’t go into detail at the…

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How to use NFS in Kubernetes Cluster — Method 1.

 Level Up Coding

In the previous article, we start the journey using the NFS Server to store data from our apps in the Kubernetes cluster. We now have a k8s cluster running in the network, and an NFS Server…

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How to use NFS in Kubernetes Cluster — Method 2.

 Level Up Coding

In the previous article, we talked about one of the most common methods of using an NFS Server to store data from our apps in the Kubernetes cluster. One of the drawbacks of that method is the…

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Mastersin Kubernetes Services!!

 Python in Plain English

Day 34 Task: Working with Services in Kubernetes New day, New Topic…. Let’s learn along..!!😉 What is Services in Kubernetes..? In Kubernetes, a service is an abstraction that defines a logical set o...

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Expose Kubernetes Volumes Securely Over HTTP: How to Serve PVC on the Internet

 Towards Data Science

Create Kubernetes manifests to expose PersistentVolumeClaims Photo by Uriel Soberanes on Unsplash Intro You may have encountered a situation in your daily product development where you needed to get ...

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Keeping Kubernetes Clusters Clean and Tidy

 Towards Data Science

Get rid of all the unused resources that are cluttering your Kubernetes cluster and wasting its compute resources

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The Kubernetes Quality of Service Conundrum

 Better Programming

My very first mistake as the administrator of a Kubernetes cluster involved setting the wrong “Quality of Service” (QoS) for our pods. QoS matters a lot in Kubernetes, but it isn’t often discussed. I…...

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How to use NFS in Kubernetes Cluster — Storage Class

 Level Up Coding

In the previous article, we talked about connecting to an NFS Server, only via Persistent Volumes configuration. In conjunction with the direct node mapping to NFS Method we saw in this article, this…...

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Navigating AWS Security Services: Secrets Manager, Artifact, and KMS

 Level Up Coding

Photo by Franck on Unsplash In today’s fast-paced digital landscape, ensuring the security and compliance of your cloud infrastructure is paramount. Amazon Web Services (AWS) offers a suite of powerfu...

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Simplified MLOps for Kubeflow with Kfops

 Towards Data Science

The article introduces Kfops, a tool on top of Kubeflow, that can be plugged into your MLOps lifecycle. Image by Author What is Kfops? The project’s primary goal is to simplify and standardize Kubefl...

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Serving a Node.js API on Amazon Elastic Kubernetes Service and CloudFront

 Better Programming

In this demo, we set up a Node.js Express server in an Amazon EKS Kubernetes cluster, and serve it through CloudFront Kubernetes is a well-established container orchestration framework that enables o...

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Stop Paying for AWS MSK or Kinesis. Running production-grade Kafka Never Been Easier.

 Level Up Coding

Introduction Apache Kafka, a distributed streaming platform, has become a popular choice for building real-time data pipelines, streaming applications, and event-driven architectures. It is horizontal...

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