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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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Modernizing Manufacturing: How to Move from Legacy Infrastructure to Cloud-Ready Operations
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Modernizing Manufacturing: How to Move from Legacy Infrastructure to Cloud-Ready Operations

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Migrate and Modernize your applications with at Zscaler Zero Trust Security Platform on AWS
17 September 2026
Migrate and Modernize your applications with at Zscaler Zero Trust Security Platform on AWS
From Reactive to Autonomous: The New IT and Security Playbook
3 September 2026
From Reactive to Autonomous: The New IT and Security Playbook
Automate, Secure and Govern Agentic Workflows with JFrog
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Automate, Secure and Govern Agentic Workflows with JFrog

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ThreatHunter.ai Halts Hundreds of Attacks in the past 48 hours: Combating Ransomware and Nation-State Cyber Threats Head-On

ThreatHunter.ai Halts Hundreds of Attacks in the past 48 hours: Combating Ransomware and Nation-State Cyber Threats Head-On

Deloitte Partners with Memcyco to Combat ATO and Other Online Attacks with Real-Time Digital Impersonation Protection Solutions

Deloitte Partners with Memcyco to Combat ATO and Other Online Attacks with Real-Time Digital Impersonation Protection Solutions

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MOST READ

Tigera Introduces Lynx, a Unified Control Plane for Kubernetes‑Native AI Agents

July 2, 2026

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

June 30, 2026

Apple Ships Stable 1.0 of its Native Container Tool for macOS

July 6, 2026

Vercel Now Lets You Deploy Any Dockerfile Straight to Production

July 6, 2026

Security Flaw in Argo CD Can Let Attackers Take Over Kubernetes Clusters

July 7, 2026

RECENT POSTS

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 Tom Schema 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
What Preparing for CKS Taught Me About Kubernetes Security
Contributed Content Kubernetes Social - Facebook Social - LinkedIn Social - X Topics 

What Preparing for CKS Taught Me About Kubernetes Security

July 8, 2026 Karthi Palanisamy 0
What Test Automation Tools Need to Handle When AI is Generating Cloud-Native Code at Scale
Cloud-Native Development Contributed Content Social - Facebook Social - LinkedIn Social - X 

What Test Automation Tools Need to Handle When AI is Generating Cloud-Native Code at Scale

July 8, 2026 Sancharini Panda 0
The Pipeline That Thinks: Building an AI-Powered DevSecOps Pipeline on AWS EKS
Cloud-Native Development Cloud-Native Security Contributed Content Social - Facebook Social - LinkedIn Social - X Topics 

The Pipeline That Thinks: Building an AI-Powered DevSecOps Pipeline on AWS EKS

July 8, 2026 Emmanuela Opurum 0
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