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LLMs

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

The Inference Bottleneck: Architecting Kubernetes Autoscaling for Production LLMs 

Generative AI (GenAI) is moving into production, but native Kubernetes autoscaling is fundamentally broken for large language model (LLM) inference ...
Pavan Madduri | May 15, 2026 | kubernetes, LLMs, platform engineering
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

From PagerDuty to ‘Agentic Ops’: The Rise of Self-Healing Kubernetes 

Explore how the role of Site Reliability Engineers (SREs) is transforming with Agentic Ops, integrating technologies like eBPF, LLMs, and Kubernetes Operators to shift problem-solving from humans to intelligent systems ...
Pavan Madduri | February 27, 2026 | 3 A.M. PagerDuty, Agentic Ops, AI in DevOps, Automated Ops, cloud cost optimization, devops, eBPF, incident management, Kubernetes operators, LLMs, observability, policy as code, predictive scaling, root cause analysis, Site Reliability Engineer, SRE, System Automation, Technology Evolution
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
LLMs & Kubernetes Configuration: Automating Hardening, Drift Detection and Policy Enforcement

LLMs & Kubernetes Configuration: Automating Hardening, Drift Detection and Policy Enforcement

Kubernetes misconfigurations remain the top security risk. AI copilots promise automated hardening, drift detection, and policy enforcement to make clusters safer ...
Alan Shimel | October 2, 2025 | admission controllers, AI copilots, AI in Kubernetes, cloud native security, cncf, drift detection, GitOps, KubeGuard, kubernetes, Kubernetes governance, kubernetes hardening, Kubernetes misconfiguration, Kubernetes security, Kyverno, large language models, LLMs, OPA, OpenTelemetry, platform engineering, RBAC, YAML Jenga
CNCF, cloud native, NVIDIA, AI, Peritus microservices

CNCF Cloud-Native Frameworks Accelerate AI Readiness  

Scaling AI safely means going cloud native — using CNCF tools to keep workloads portable, secure, and under your control ...
Nathan Eddy | August 11, 2025 | cloud native, cncf, containers, kubernetes, LLMs
LLMs, models, Cilium Rafay Systems OPA observability platform

Open Source Tooling to Run Large Language Models Without GPUs Locally

The best way to prototype is to start by running the models locally. In this article, we will explore the various options available for running models locally, along with the trade-offs involved ...
Siri Varma Vegiraju | July 24, 2025 | docker, kubernetes, LLMs, open source tooling
news

Docker, Inc. Makes Invoking LLMs Simpler for Application Developers

Docker Inc. this week added an ability to make it possible for application developers using its tools to build cloud-native applications to run large language models (LLMs) on their local machines. Available ...
Mike Vizard | April 11, 2025 | cloud-native apps, developers, docker, LLMs
a drop balanced on a leaf

Best of 2024: CAST AI Helps Cost-Optimize LLMs Running on Kubernetes

AI Wayfinder determines which cloud instance of a GPU will run an AI model most efficiently ...
Mike Vizard | December 31, 2024 | CAST AI, kubernetes, LLMs, roi
The Kubernetes Annotation Pitfall: The One Word That Puts Your AWS Load Balancers at Risk

The Kubernetes Annotation Pitfall: The One Word That Puts Your AWS Load Balancers at Risk

Misconfiguring just one word in Kubernetes can expose your AWS environment to the internet, putting your data and applications at serious risk ...
Dvir Levy | November 18, 2024 | AI, annotations, aws, kubernetes, LLMs
Tetrate Allies With Bloomberg to Build AI Gateway Based on Envoy and Kubernetes APIs

Tetrate Allies With Bloomberg to Build AI Gateway Based on Envoy and Kubernetes APIs

Tetrate and Bloomberg revealed today they will collaborate on the development of an artificial intelligence (AI) gateway that is based on the Envoy Gateway project launched by the Cloud Native Computing Foundation ...
Mike Vizard | October 3, 2024 | APIs, cncf, GenAI, LLMs
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29 September 2026
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Modernize for the AI Era
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Modernize for the AI Era
The Strategic Imperative: Embracing Agentic B2B Selling
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Closing the Loop on AI Coders: 3,200 Vulns Fixed with Zero Human Triage
1 October 2026
Closing the Loop on AI Coders: 3,200 Vulns Fixed with Zero Human Triage
Agentic Runtime Security on AWS: Identity, Least Privilege, and Audit for AI Agents with IBM Verify Identity Access and HashiCorp Vault
29 September 2026
Agentic Runtime Security on AWS: Identity, Least Privilege, and Audit for AI Agents with IBM Verify Identity Access and HashiCorp Vault
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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

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MOST READ

BellSoft Rings Change Bringing Zero-CVE Images to Buildpacks Users

July 21, 2026

Rust Rewrite Readies Kata Containers for Agent Sandboxing

July 24, 2026

NVIDIA Is Putting Real Skin in the Open AI Game

July 28, 2026

Kubernetes Key Management Streamlined by HashiCorp Vault Plug-In

August 6, 2026

The Foundation Was Already Poured

July 27, 2026

RECENT POSTS

The Hidden Cost of “Just Works” Load Balancing in a Service Mesh
Cloud-Native Networking Container/Kubernetes Management Contributed Content Service Mesh Social - Facebook Social - LinkedIn Social - X 

The Hidden Cost of “Just Works” Load Balancing in a Service Mesh

August 14, 2026 Sai Aneesh Mullapudi 0
How We Cut Kubernetes Deployment Validation From 45 Minutes to 2 minutes
Cloud-Native Development Contributed Content Kubernetes Social - Facebook Social - LinkedIn Social - X 

How We Cut Kubernetes Deployment Validation From 45 Minutes to 2 minutes

August 13, 2026 Sai Joshitha Kathari 0
Docker Desktop Gets a Hypervisor of its Own
Cloud-Native Development Containers Docker Features Social - Facebook Social - LinkedIn Social - X Virtualization 

Docker Desktop Gets a Hypervisor of its Own

August 13, 2026 Joab Jackson 0
Kubernetes Wasn’t Built for GPUs. Make It Behave
Contributed Content Kubernetes Social - Facebook Social - LinkedIn Social - X Topics 

Kubernetes Wasn’t Built for GPUs. Make It Behave

August 12, 2026 Sneha Gullapalli 0
How Open-Source Automation Tools Handle the Testing Problem That Cloud-Native Independent Deployment Creates  
Cloud-Native Development Contributed Content Social - Facebook Social - LinkedIn Social - X Topics 

How Open-Source Automation Tools Handle the Testing Problem That Cloud-Native Independent Deployment Creates  

August 12, 2026 Sancharini Panda 0
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Modern Software Development and Delivery 

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How would you best describe your organization's current software delivery environment(s) on mainframe computers? (Select all that apply)(Required)
Which outcomes are most important to your organization's software delivery strategy today? (Select up to three)(Required)
What, if anything, is limiting your organization's mainframe software delivery progress? (Select up to three)(Required)
In which areas of your mainframe software delivery environment are you currently using AI? (Select all that apply)(Required)
As software delivery responsibilities expand beyond traditional build, test, and deploy, which of the following areas is the most challenging for your organization today with respect to mainframe software delivery? (Select one)(Required)
Which of the following do you expect is most likely to accelerate your organization's mainframe software delivery progress over the next 12-18 months? (Select one)(Required)

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