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kubernetes, network, logistics, security, Traefik Tigera container security Calico Red Hat Dynatrace

Komodor Extends Autonomous AI Agent for Optimizing Kubernetes Clusters

Komodor today added autonomous self-healing and cost optimization capabilities to an artificial intelligence (AI) platform designed to automate site reliability engineering (SRE) workflows across Kubernetes environments. Company CTO Itiel Shwartz said those ...
Mike Vizard | November 5, 2025 | agentic AI, Komodor, Kubernetes optimization, SRE
autoscaling, Tailscale, Kubernetes, argo cd, Kubernetes v1.33,  AI, Nelm, Kubernetes, architecture, , architecture, Rackspace, GPUs, Kubernetes, Solo.io Kubernetes cloud foundry keptn cloud-native automation

pgEdge Adds Ability to Distribute Postgres Across Multiple Kubernetes Clusters

pgEdge has released a new Kubernetes-ready distribution of its open-source Postgres database, enabling deployments across multiple clusters for low latency, high availability, and horizontal scalability. Supporting Postgres versions 16–18, pgEdge Containers simplify ...
Mike Vizard | November 5, 2025 | cloud native, cncf, containers, database scaling, devops, distributed database, Helm Chart, high availability, kubernetes, multi-cluster, open source database, platform engineering
SRE High-Level History of the Container Ecosystem

How SREs are Using AI to Transform Incident Response in the Real World 

Traditional incident response can’t keep pace with today’s complex, multi-cloud environments. Discover how AI-augmented SRE frameworks reduce MTTR, automate remediation, and strengthen reliability through a five-stage maturity model and modular architecture powered ...
Manvitha Potluri | November 5, 2025 | AI incident response, AI operations, AIOps, anomaly detection, autonomous remediation, cloud native, DevOps automation, event correlation, feedback-driven automation, intelligent observability, MTTR reduction, multi-cloud, observability, reliability engineering, root cause analysis, site reliability engineering, SLA compliance, SRE
agents, ai, cloud-native, cloud native, project, istio, ambient, architecture, modules, cloud native, CCoE Kubernetes Virtana CrowdStrike cloud native

AI Agents Power Cloud-Native Transformation 

AI agents are redefining cloud-native development by embedding intelligence into DevOps workflows — optimizing pipelines, automating debugging, and accelerating release cycles. Experts like Promevo CTO John Pettit explain how these autonomous systems ...
Nathan Eddy | October 30, 2025 | AI agents, AI code reviewer, AI in DevOps, AI in software engineering, AI observability, AI-powered debugging, autonomous systems, CI/CD optimization, cloud infrastructure management, cloud-native transformation, DevOps automation, intelligent automation, platform engineering, shift left security, software delivery lifecycle (SDLC)
Prepare for the Second Wave of Container Management  

Prepare for the Second Wave of Container Management  

There’s no doubt that containers bring big advantages to the enterprise IT departments, particularly when it comes to simplifying work for application developers. Unfortunately, that simplicity doesn’t always translate to the operations ...
Lee Caswell | October 29, 2025 | application development, container management, kubernetes
agents, ai, cloud-native, cloud native, project, istio, ambient, architecture, modules, cloud native, CCoE Kubernetes Virtana CrowdStrike cloud native

Why Kubernetes is Great for Running AI/MLOps Workloads 

Kubernetes has become the de facto platform for deploying AI and MLOps workloads, offering unmatched scalability, flexibility, and reliability. Learn how Kubernetes automates container operations, manages resources efficiently, ensures security, and supports ...
Joydip Kanjilal | October 29, 2025 | AI containerization, AI model deployment, AI on Kubernetes, AI scalability, AI Workloads, cloud-native ML, container orchestration, data science infrastructure, DevOps for AI, edge AI, fault tolerance, federated learning, GPU management, hybrid cloud AI, Kubeflow, KubeRay, kubernetes, Kubernetes automation, Kubernetes security, machine learning on Kubernetes, ML workloads, MLflow, MLOps, persistent volumes, resource management, scalable AI infrastructure, TensorFlow
microsoft, azure,

GPU Resource Management for Kubernetes Workloads: From Monolithic Allocation to Intelligent Sharing

AI and ML workloads in Kubernetes are evolving fast—but traditional GPU allocation leads to massive waste and inefficiency. Learn how intelligent GPU allocation, leveraging technologies like MIG, MPS, and time-slicing, enables smarter, ...
Ashfaq Munshi | October 28, 2025 | AI infrastructure optimization, AI workload orchestration, AI/ML GPU efficiency, GPU cost efficiency, GPU efficiency in AI workloads, GPU overprovisioning, GPU partitioning technologies, GPU resource allocation strategies, GPU resource management, GPU sharing in Kubernetes, GPU time-slicing, GPU utilization optimization, GPU workload rightsizing, intelligent GPU allocation, Kubernetes AI workloads, Kubernetes GPU performance, Kubernetes GPU scheduling, multi-instance GPU, multi-process service, NVIDIA MIG, NVIDIA MPS

Guided Observability: Faster Resolution Through Context and Collaboration

Cloud native has increased in complexity, producing massive volumes of telemetry that are costly to store and hard to use. Guided Observability is emerging as a practice to help teams cut through the ...
Scott Kelly | October 27, 2025 | cloud native, Guided Observability, kubernetes, observability
Do You Even Need Kubernetes for Reliable Service Delivery?

Do You Even Need Kubernetes for Reliable Service Delivery?

Kubernetes has become the default backbone of cloud native architecture. But does it actually help you ship services more reliably, or is it just more moving parts? Despite Betteridge’s law of headlines, ...
Severin Neumann | October 27, 2025 | engineering, kubernetes, LLMs
cloud-native Kubernetes Job Market Hot

You’ll Secure a Lead or Principal-Level Cloud-Native Role Before a Junior One! 

Kube Careers’ 2025 job market data shows junior cloud-native roles have doubled year over year, yet they still represent less than 4% of all positions. Discover why senior and lead-level roles dominate, ...
Vikrant Mane | October 27, 2025 | cloud engineer jobs, cloud-native career growth, cloud-native demand, cloud-native experience levels, cloud-native hiring 2025, cloud-native hiring trends, cloud-native job analysis, cloud-native job market, cloud-native jobs, cloud-native opportunities, cloud-native recruiting, cloud-native salaries, cloud-native talent shortage, cloud-native workforce, DevOps careers, DevOps job statistics, junior cloud engineer, junior cloud-native roles, junior DevOps roles, Kube Careers job trends, Kube Careers report, Kubernetes jobs
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ThreatHunter.ai Halts Hundreds of Attacks in the past 48 hours: Combating Ransomware and Nation-State Cyber Threats Head-On

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MOST READ

Komodor Extends Autonomous AI Agent for Optimizing Kubernetes Clusters

November 5, 2025

AI Agents Power Cloud-Native Transformation 

October 30, 2025

Open Source KServe AI Inference Platform Becomes CNCF Project

November 13, 2025

pgEdge Adds Ability to Distribute Postgres Across Multiple Kubernetes Clusters

November 5, 2025

Causely Adds MCP Server to Causal AI Platform for Troubleshooting Kubernetes Environments

November 6, 2025

RECENT POSTS

Mastering AKS: Performance, Security and Cost Optimization in the Cloud 
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Mastering AKS: Performance, Security and Cost Optimization in the Cloud 

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From Chaos to Control: Managing Kubernetes Add-Ons at Scale
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Observability for Microservices vs Monoliths: Strategies that Worked in 2025

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How Cloud-Native Platforms Are Adapting to Today’s Operations-First Mindset
Video Interviews 

How Cloud-Native Platforms Are Adapting to Today’s Operations-First Mindset

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Survey Surfaces Myriad Kubernetes Networking Challenges
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Survey Surfaces Myriad Kubernetes Networking Challenges

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