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Managing APIs at Scale with Kong Gateway and Kubernetes

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Modern applications rely on dozens or hundreds of APIs, creating complex management challenges that can slow down your entire development pipeline. For DevOps engineers, platform architects, and engineering teams running microservices in production, Kong Gateway API management with Kubernetes API infrastructure offers a powerful solution to handle API traffic at enterprise scale. This guide is designed for technical teams already familiar with Kubernetes who need to implement robust API management without sacrificing performance or security. You’ll learn practical approaches that real engineering teams use to manage hundreds of APIs serving millions of requests daily. We’ll walk through Kong Kubernetes integration fundamentals, showing you how to deploy and configure Kong as your primary API gateway. You’ll discover advanced strategies for microservices API management , including traffic routing, rate limiting, and authentication patterns that scale with your business. Finally, w...
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Deploy AWS AgentCore Runtime with CDK

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Deploying AWS AgentCore Runtime with CDK can transform how you manage intelligent agent workloads in the cloud, but getting the infrastructure right from the start is crucial. This guide is designed for cloud engineers, DevOps professionals, and developers who want to build scalable, secure AgentCore deployments using infrastructure as code. AWS AgentCore Runtime provides a powerful foundation for running AI agents at scale, and CDK gives you the tools to deploy it consistently across environments. Setting up your AgentCore infrastructure properly means better performance, easier maintenance, and fewer headaches down the road. We’ll walk through the complete AWS CDK AgentCore deployment process, starting with designing your CDK infrastructure stack to handle AgentCore’s specific requirements. You’ll learn how to implement AgentCore runtime resources with proper security configuration, ensuring your deployment follows AWS best practices. Finally, we’ll cover optimization strategies f...
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Multi-Region AWS Architecture: Capabilities and Constraints

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Multi-region AWS architecture delivers global reach, disaster recovery, and high availability for enterprise applications, but comes with significant complexity and cost trade-offs. This guide is for cloud architects, DevOps engineers, and technical leaders planning AWS global infrastructure design or evaluating multi-region deployment strategies. You’ll discover the core components that make AWS multi region deployment possible, including how services like Route 53, CloudFront, and RDS work across regions. We’ll examine the key capabilities this architecture unlocks, from automated AWS cross-region failover to improved user experience through reduced latency. The discussion covers practical data replication strategies, AWS multi-region security best practices, and the real costs behind running workloads globally. We’ll also address the technical constraints and implementation hurdles that can make or break your multi-region AWS cost optimization efforts. Core Components of Multi-R...
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