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machine learning

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
AIOps Virtana AWS StormForge microservices MLMD machine learning MLOps

StormForge Makes ML for Kubernetes Clusters Accessible

At the online KubeCon + CloudNativeCon Europe 2021 conference, StormForge today extended a platform that employs agent software and machine learning algorithms to remove the guesswork from deploying applications on Kubernetes clusters ...
Mike Vizard | May 5, 2021 | AIOps, KubeCon + CloudNativeCon, machine learning, StormForge
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Microsoft Introduces Execution Containers to Keep AI Agents in Check

June 4, 2026

Komodor Brings Autonomous AI to SRE With Reliability-First Cloud Optimization

June 10, 2026

DevZero Launches Automation Platform to Dynamically Rightsize Kubernetes Clusters

June 9, 2026

Google OpenRL Tames AI Model Tuning, Kubernetes-Style

June 17, 2026

Upbound Unfurls Control Plane for Managing AI Inference Workloads

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