Learn how to use AWS DMS CDC to replicate SQL Server data to S3 in near real time using AWS CDK. This step-by-step guide covers full load, continuous change data capture, table mapping, IAM configuration, and best practices for building a robust, production-ready data ingestion pipeline.
Compare AWS vector store options for RAG, including OpenSearch, S3 Vectors, Aurora pgvector, and more. This guide breaks down Bedrock Knowledge Bases integrations and custom pipeline approaches to help you choose the right solution based on latency, cost, and architecture.
Comparing AWS CDK vs Terraform vs CloudFormation? This guide breaks down the strengths, weaknesses, and best use cases of each Infrastructure as Code (IaC) tool on a large AWS project. Learn how to choose the right AWS IaC tool for your team, reduce complexity, and improve deployment speed with practical, experience-based insights.
Digital transformation often stalls between strategy and execution. AWS Experience-Based Accelerators give organisations a safe, hands-on way to test cloud, modernisation and AI initiatives before committing to scale. Learn how Cevo delivers partner-led EBAs that turn experience into confidence, and confidence into action.
Discover how Karpenter enhances Kubernetes cluster performance and optimises costs in EKS. Learn how to monitor Karpenter using logs, metrics, and dashboards to gain full observability, identify scaling bottlenecks, and fine-tune your workloads for reliable, cost-efficient operations.
Learn how to migrate from Kubernetes Cluster Autoscaler to Karpenter on Amazon EKS to improve scaling speed, reduce infrastructure costs, and increase resource efficiency. This deep dive also explores EKS Auto Mode, showing how cloud-managed autoscaling can further reduce operational overhead while improving security and reliability.
AWS re:Invent 2025 marked a major shift in Agentic AI, with tangible solutions like Bedrock AgentCore, AWS Security Agent, and DevOps Agent transforming how AI agents are orchestrated and deployed. Security Hub went GA, multimodal AI capabilities advanced, and hands-on workshops highlighted real-world applications. This recap covers the key announcements, innovations, and human connections that made re:Invent 2025 a landmark event for AWS builders and partners.
AWS re:Invent 2025 delivered one of the most transformative years of innovation yet, signalling a major shift toward AI-native cloud platforms, frontier-scale infrastructure and streamlined developer experiences. From AgentCore and Nova 2 to Trainium3 UltraServers, S3 Vectors and multicloud networking with Google Cloud, AWS introduced capabilities that will fundamentally change how engineering teams build, automate and scale. In this blog, we break down the biggest announcements and what they mean for organisations looking to modernise, innovate and move faster with confidence.
AI coding assistants are changing how developers work. In this blog, Ian Ng shares how Amazon Q Developer became a powerful coding partner, helping automate routine tasks so developers can focus on architecture, problem-solving, and building better solutions faster.
A winning data strategy combines strong governance, reliable quality, and scalable architecture to drive measurable outcomes. With AWS and Cevo’s Data Strategy Diagnostic, organisations can build the foundation for AI-driven innovation and long-term growth.
