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Together AI Adds Container Inference to Managed Service for AI Models

Together AI Adds Container Inference to Managed Service for AI Models

Together AI today added a container interface to a managed cloud service it provides for deploying artificial intelligence (AI) models. Nikitha Suryadevara, product lead for inference at Together AI, said the Dedicated ...
Mike Vizard | February 12, 2026 | AI applications, AI model deployment, cloud service provider, container interface, distributed inference, GPU optimization, IT infrastructure, kubernetes, managed cloud service
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

Building an Enterprise-Ready AKS Cluster: Architecture, Networking and Security Baselines 

Running Azure Kubernetes Service (AKS) in enterprise environments requires more than just creating a cluster. This guide details the essential architecture, networking, security measures, and observability practices necessary for deploying robust AKS ...
Olaitan Falolu | February 12, 2026 | AKS, AKS networking, AKS security, Azure Kubernetes Service, cloud infrastructure, enterprise AKS deployment, governance, hybrid cloud security, Kubernetes architecture, observability
Kubernetes Architecture Made Simple: A School Analogy

Kubernetes Architecture Made Simple: A School Analogy

This beginner-friendly guide uses a school analogy to simplify Kubernetes architecture, explaining the roles of the Control Plane (administration) and Worker Nodes (classrooms) in orchestrating containerized applications. By likening components to familiar ...
Karthi Palanisamy | February 10, 2026 | API server, beginner guide, cloud-native applications, container orchestration, container runtime, control plane, Controller Manager, Kube-Proxy, Kubelet, Kubernetes architecture, pods, Scheduler, school analogy, Worker Nodes
CNCF, cloud native, NVIDIA, AI, Peritus microservices

Build and Orchestrate Agents Using Docker cagent 

Docker's cagent is a new open-source framework that simplifies the deployment of AI agents, allowing users to create everything from basic Hello World agents to complex multi-agent workflows using a declarative YAML ...
Siri Varma Vegiraju | February 10, 2026 | agent capabilities, AI agents, AI applications, automated workflows, composable workflows, deployment, Docker cagent, GraphQL, lightweight agents, Model Context Protocol (MCP), multi-agent processing, open-source framework, rapid development, technical integration, vendor-agnostic stack, YAML configuration
container security sysdig snyk container Mirantis Aqua Security GitHub

Web Bot Authentication: Securing AI Agents in Cloud-Native Environments 

The rise of AI agents in cloud-native environments poses significant security challenges, creating difficulty in distinguishing legitimate automation from malicious bots. Web Bot Authentication (WBA) offers a cryptographic solution, using asymmetric cryptography ...
Harith Gaddamanugu | February 9, 2026 | AI agents, asymmetric cryptography, automated access, bot detection, cloud native security, content indexing, customer support automation, enterprise automation, IETF standards, legitimate automation, malicious bots, multitenant environments, partner integrations, security architecture., security challenges, tamper-proof verification, verification process, WBA, Web Bot Authentication, zero-trust principles
AI, legacy, applications, Uptycs containerization legacy Kubernetes Ermetic CNAPP antipatterns Mirantis Twistlock Provides Full Lifecycle

How AI, Innovation and Legacy Systems can Come Together for Modernization 

The "AI and digital maturity paradox" challenges enterprises as they pursue digital transformation while managing legacy systems. This article discusses how CTOs can strategically integrate AI with existing infrastructures to enhance stability, ...
Bhaskar Dhawan | February 9, 2026 | AI and digital maturity paradox, APIs, cloud platforms, CTO strategies, data strategy, DevOps practices, digital transformation, intelligent integration, legacy systems, microservices architecture, MLOps, modernization challenges., operational continuity
Akuity, SUSE, Nutanix, kubernetes, cycle, Mirantis, kubernetes, LoftLabs, vNode, Komodor, configurations, application, clusters, virtual, Red Hat, Kubernetes clusters, Komodor, kubernetes, clusters, kubernetes, IDPs, TLS, certificates, clusters, virtual clusters, Kubernetes, Kubernetes, vCluster CAST AI KBOM DoKC Platform9 Kubernetes

Kubernetes in Docker (KinD): Setting Up a k8s Cluster in Under a Minute

Discover the evolution of Kubernetes management with KinD, allowing for quick, local multi-node cluster creation, enhancing visibility, and bridging gaps left by managed services for Kubernetes deployment and testing ...
Ajinkya Kadam | February 9, 2026 | CI/CD integration, cloud native, cluster management, KinD, kubernetes, Kubernetes in Docker, local clusters, multi-node clusters, SRE, testing
Kubernetes

Kubernetes Could Use a Different Linux Scheduler

A pair of Cambridge researchers have found a way to squeeze 10 – 20% more capacity from Kubernetes clusters, simply by making a tweak in the way the Linux kernel schedules jobs ...
Joab Jackson | February 6, 2026 | CFS, kubernetes, LAGS, linux
Cluster API Update Makes Managing Kubernetes Environments Simpler

Cluster API Update Makes Managing Kubernetes Environments Simpler

The maintainers of the Cluster Application Programming Interface (API) for Kubernetes clusters have released an update that makes it simpler to automatically trigger in-place updates to create or delete a machine. Version ...
Mike Vizard | February 4, 2026 | AI, Broadcom, Cluster API, IT, kubernetes
Kubernetes and IPv6: Together at Last?

Kubernetes and IPv6: Together at Last?

As administrators migrate their clusters from Ingress NGINX, which is being retired from the Kubernetes line-up next month, they might want to consider adding another task to their job: migrating their network ...
Joab Jackson | February 4, 2026 | Ingress NGINX, IPv6, kubernetes
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You Can’t Just Layer AI on Your Observability Platform: Why Context is King
19 May 2026
You Can’t Just Layer AI on Your Observability Platform: Why Context is King
AppSec in 2026: Security at Machine Speed — or Not at All
18 May 2026
AppSec in 2026: Security at Machine Speed — or Not at All
Multi-Million-Dollar Lessons: What FinOps Maturity Actually Looks Like
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From Prompt to Exploit: How LLMs Are Changing API Attacks
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Data is the Differentiator for Exposure Management
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The Context Engine: Why Consolidation is the Natural Future of AppSec
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The Context Engine: Why Consolidation is the Natural Future of AppSec

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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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SUSE Rancher Prime Throws a Lasso Around VM and Container Management

March 26, 2026

Broadcom Extends Reach and Scope of Kubernetes Platform

March 24, 2026

Docker Inc. Allies with NanoCo to Deploy General-Purpose AI Agent Safely

April 1, 2026

Kubernetes Builds a Sandbox CRD for AI Agents

March 25, 2026

Istio Weaves ‘Future-Ready’ Service Mesh for AI 

March 27, 2026

RECENT POSTS

Kubernetes v1.36 Promotes Stability, Compatibility & Reproducibility
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Kubernetes v1.36 Promotes Stability, Compatibility & Reproducibility

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AI in CI/CD: Where Are You Really?

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How would you describe your organization’s current level of AI adoption within your CI/CD pipeline?(Required)
How would you describe your current CI/CD environment?(Required)
In which areas of your software delivery pipeline are you currently using AI? (Select all that apply)(Required)
In which areas of your software delivery pipeline are you considering using AI? (Select all that apply)(Required)
Which AI use cases are delivering, or do you expect to deliver, measurable value in your CI/CD pipeline? (Select up to three)(Required)
What, if anything, is limiting your organization’s progress with AI in CI/CD? (Select up to three)(Required)
How do you expect your use of AI in CI/CD pipelines to change over the next 12–18 months?(Required)

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