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Cloud-Native Development

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)
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
docker, docker hub, subscription, clusters dockershim Imagining a World Without Docker

Securing AI Agents With Docker MCP and cagent: Building Trust in Cloud-Native Workflows 

Learn how Docker’s Model Context Protocol (MCP) and cagent enable secure, isolated, and auditable AI agent workflows in cloud-native environments ...
Pragya Keshap | October 24, 2025 | agent-based automation, AgentOps, AI agent security, AI guardrails, AI in DevOps, AI infrastructure security, AI model governance, AI model isolation, AI risk mitigation, AI sandboxing, AI workflow auditing, AI workflow governance, cagent, cloud native security, container security, containerized AI agents, DevSecOps automation, Docker AI tools, Docker containers, Docker MCP, Kubernetes security, least privilege AI, Model Context Protocol, open-source AI security, secure AI pipelines, secure AI workflows, secure containerization, trusted AI agents
agents, ai, cloud-native, cloud native, project, istio, ambient, architecture, modules, cloud native, CCoE Kubernetes Virtana CrowdStrike cloud native

The Future of Cloud-Native DevOps, DataOps, FinOps and Beyond 

Explore how cloud-native DevOps, DataOps, and FinOps are shaping the future of scalable, automated, and intelligent cloud application development ...
Joydip Kanjilal | October 24, 2025 | agile cloud development, AI and ML in DevOps, AIOps, automation in cloud, CI/CD pipelines, cloud computing trends, cloud-native applications, cloud-native DataOps, cloud-native DevOps, cloud-native FinOps, cloud-native software delivery, cloud-native strategy, cloud-native transformation, containerization, DevSecOps, edge computing, enterprise cloud optimization, future of DevOps, GitOps, infrastructure as code, intelligent cloud platforms, kubernetes, microservices architecture, platform engineering, scalable cloud apps, serverless computing
CloudBolt, StormForge, automation, Solo.io eBPF Automation in Microservices Security

Machine Learning in Kubernetes: Why Trust, Not Tech, is Your Biggest Hurdle 

Explore why trust—not technology—is the real barrier to ML-driven Kubernetes optimization and how intelligent automation builds confidence at scale ...
Yasmin Rajabi | October 24, 2025 | AI in DevOps, AI in infrastructure management, AI-driven automation, automated cloud governance, cloud cost optimization, cloud efficiency, container optimization, continuous optimization, developer trust, devops, FinOps, intelligent automation, KubeCon 2025, Kubernetes optimization, Kubernetes performance, Kubernetes resource management, Kubernetes trust gap, machine learning in Kubernetes, ML in cloud infrastructure, ML-based cost control, ML-powered rightsizing, platform engineering, platform reliability, predictive scaling
microservices, opentelemetry, data, Grafana, OpenTelemetry Argo NeuVector Extends Red Hat OpenShift Availability

Why Agentic SREs Require Active Telemetry in Kubernetes

Discover how Active Telemetry enables Agentic SREs to move from reactive firefighting to autonomous diagnosis and proactive reliability in Kubernetes ...
Tucker Callaway | October 23, 2025 | Active Telemetry, Active Telemetry pipeline, Agentic SRE, AI infrastructure, AI observability, AI-driven SRE, autonomous diagnosis, autonomous operations, cloud native operations, context engineering, data context, intelligent observability, KubeCon 2025, Kubernetes reliability, MTTR reduction, operational autonomy, proactive remediation, root cause analysis, site reliability engineering, telemetry architecture
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Secure AI Everywhere: From Edge to Container
18 December 2025
Secure AI Everywhere: From Edge to Container

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Safeguarding Data & Compliance on Next-Gen iOS Devices
16 December 2025
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11 December 2025
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The Next Evolution of Application Security: AI-Accelerated DevSecOps
9 December 2025
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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

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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

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