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machine learning

Your Model Works in the Notebook and Breaks in the Cluster

Your Model Works in the Notebook and Breaks in the Cluster

A model working in a notebook gives you a particular kind of confidence. The metrics look good, the code runs top to bottom, the researcher demos it, leadership nods, and everyone agrees ...
Latika Chawla | July 10, 2026 | AI infrastructure, GPU Computing, kubernetes, machine learning, MLOps, Model Reproducibility
GitOps Wasn't Built for Models, and It Shows

GitOps Wasn’t Built for Models, and It Shows

GitOps won the deployment argument. Everything goes in Git, the cluster reconciles itself to match, and your repository becomes the one place that tells you what’s actually running. It’s clean and auditable ...
Latika Chawla | June 19, 2026 | AI infrastructure, GitOps, machine learning, MLOps, platform engineering
AIOps Virtana AWS StormForge microservices MLMD machine learning MLOps

Virtana Buys OpsCruise to Bring Observability to Kubernetes

Virtana has added a Kubernetes observability platform infused with machine learning algorithms to its portfolio via the acquisition of OpsCruise. Jon Cyr, vice president of product management for Virtana, said OpsCruise has ...
Mike Vizard | June 26, 2023 | AI, kubernetes, machine learning, observability, OpsCruise, Virtana
PerfectScale Unfurls SaaS Edition of AI Platform to Control K8s Costs

PerfectScale Unfurls SaaS Edition of AI Platform to Control K8s Costs

PerfectScale this week launched a software-as-a-service (SaaS) edition of its namesake platform that employs machine learning algorithms to identify usage patterns that better enable IT teams to control Kubernetes costs. Brendan Cooper, ...
Mike Vizard | March 8, 2023 | kubernetes, Kubernetes costs, machine learning, PerfectScale
Monitoring ML Models in Kubernetes

Monitoring ML Models in Kubernetes

Image Source  Machine Learning Models on Kubernetes Kubernetes is an open-source container orchestration system that can be used to deploy and manage machine learning models. By using Kubernetes, you can easily scale ...
Gilad David Mayaan | February 6, 2023 | kubernetes, machine learning
Running Machine Learning Models in Containers: A Beginner’s Guide

Running Machine Learning Models in Containers: A Beginner’s Guide

Image Source  What Is a Machine Learning Model? A machine learning (ML) model is a mathematical model that is used to predict the output of a given input data set. It is ...
Gilad David Mayaan | January 25, 2023 | container, machine learning
AIOps Virtana AWS StormForge microservices MLMD machine learning MLOps

AWS Leverages Containers to Automate ML Model Deployments

Amazon Web Services (AWS) is leveraging containers to make it simpler to deploy machine learning models constructed using the Amazon SageMaker Studio Notebook tool in production environments. Rather than setting up, configuring ...
Mike Vizard | December 8, 2022 | aws, big data analytics, containers, machine learning
AI and the Drive to Modern, Cloud-Native Applications

AI and the Drive to Modern, Cloud-Native Applications

Artificial intelligence (AI) has changed how modern applications interact with us, and machine learning has driven the modernization of various processes and systems. We all know that artificial intelligence has strengthened its ...
Lee Atchison | November 22, 2022 | AI, cloud-native applications, machine learning, MLOps, modern applications
container Sysdig Volterra

Sysdig Employs AI to Thwart Container Cryptojacking Attacks

At the Black Hat USA 2022 conference, Sysdig today revealed it is adding machine learning algorithms capable of detecting cryptojacking attacks to its cloud service for securing container applications. The algorithms are ...
Mike Vizard | August 10, 2022 | AI, containers, cryptojacking, machine learning, Sysdig
Kubernetes serverless data science Statehub Portworx Advances Data Management on Kubernetes

What Data Scientists Should Know About Kubernetes

Kubernetes is the most widely used platform for managing containerized applications. It’s open source, portable and powerful. A tremendous advantage of Kubernetes is its ability to create and scale containers automatically. Due ...
Grace Lau | June 6, 2022 | data models, data science, Kubeflow, kubernetes, machine learning
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MOST READ

Google OpenRL Tames AI Model Tuning, Kubernetes-Style

June 17, 2026

Linkerd 2.20, the Latest Release of the Cloud-Native Service Mesh, Arrives

June 24, 2026

Minimus Makes Hardened Container Images Freely Available to All Developers

June 23, 2026

Upbound Unfurls Control Plane for Managing AI Inference Workloads

June 23, 2026

The AI Native Stack Already Exists. We’ve Been Calling It Cloud Native

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RECENT POSTS

Your Model Works in the Notebook and Breaks in the Cluster
Container Networking Container/Kubernetes Management Contributed Content Social - Facebook Social - LinkedIn Social - X 

Your Model Works in the Notebook and Breaks in the Cluster

July 10, 2026 Latika Chawla 0
Inside the Packet: How Kubernetes Networking Actually Works at L3/L4
Contributed Content Kubernetes Social - Facebook Social - LinkedIn Social - X Topics 

Inside the Packet: How Kubernetes Networking Actually Works at L3/L4

July 10, 2026 Pavan Madduri 0
Most Container Images You Pull Today Are Already Full of Vulnerabilities
Video Interviews 

Most Container Images You Pull Today Are Already Full of Vulnerabilities

July 9, 2026 Alan Shimel 0
Supermicro Debuts Kubernetes Edge AI Appliance with Red Hat and Everpure
Cloud-Native Platforms Features Kubernetes Kubernetes at the Edge Social - Facebook Social - LinkedIn Social - X 

Supermicro Debuts Kubernetes Edge AI Appliance with Red Hat and Everpure

July 8, 2026 James Maguire 0
Building a Secure Software Development Lifecycle (SSDLC) for Cloud-Native Teams
Cloud-Native Security Contributed Content Social - Facebook Social - LinkedIn Social - X 

Building a Secure Software Development Lifecycle (SSDLC) for Cloud-Native Teams

July 8, 2026 Sean Roth 0
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