Contributed Content
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 ...
Designing Reliable Data Pipelines in Cloud-Native Environments
Discover how to design reliable data pipelines in cloud-native environments, emphasizing disciplined design decisions, observability, and team ownership to ensure data integrity and system reliability amidst constant change ...
How to Keep Cloud-Native Applications Running During DDoS-Scale Traffic Surges
Prepare your cloud-native apps for chaos! Discover essential strategies to handle traffic surges, from resilient architecture to real-time monitoring, ensuring your applications thrive under pressure ...
How Do Cloud-Native Teams Balance Engineering Excellence With Strong Product Branding?
Learn how cloud-native teams can integrate engineering and branding efforts to create high-performing products that resonate with users ...
Lucy Manole | | A/B Testing, agile development, Branding Strategies, cloud-native development, Cross-Functional Teams., Design Systems, Engineering Excellence, incident management, Performance Metrics, Product Branding, Software Scalability, Team Collaboration, Technical Performance, User Engagement, user experience
Running Kubernetes in Production: Practical Lessons From the Field
Kubernetes has become the de facto platform for running containerized workloads at scale. While spinning up a cluster is relatively straightforward, operating Kubernetes reliably in production is far more challenging. Teams often ...

