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CNCF Chief: AI Inference Will Drive Increased Cloud Native Software Consumption
AI inference models are set to drive significant cloud-native software consumption, according to CNCF's executive director. With more AI models on Kubernetes, there's a shift towards backend services without graphical interfaces. While ...
Chainguard Dashboard Provides Visibility into Pipeline for Creating Secure Container Images
Chainguard today added a dashboard that provides visibility into which software packages the provider of secure container images is currently prioritizing. Ed Sawma, vice president of product marketing for Chainguard, said the ...
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 ...
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 ...
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 ...
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 | | 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
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 | | 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
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, ...
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 ...
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 ...

