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.
CSV files are simple, flexible, and everywhere but they’re also one of the easiest ways for sensitive customer data to leak. In this guide, we show you how to use AWS Glue Studio’s no-code, ML-powered transforms to automatically detect and redact PII in CSV files. With step-by-step instructions, you’ll learn how to protect data at ingestion, ensure compliance, and build pipelines that keep analytics both powerful and privacy-first.
Data is everywhere but without a clear strategy, it can hold your business back instead of moving it forward. In this blog, we share how the AWS Data Strategy Diagnostic helps organisations assess their data maturity, uncover gaps, and build a practical roadmap to turn data into real business value.
Unit testing JSONata in AWS Step Functions doesn’t have to be painful. By separating JSONata templates into their own files, introducing a simple template manager, and running fast local unit tests, you can validate transformations in milliseconds, without deploying to AWS. This framework makes debugging easier, feedback loops faster, and Step Functions more maintainable.
