Category: Intermediate (200)

Open-weight large language models are being released by research institutions worldwide, but turning published weights into production inference services remains a challenge—especially under strict data residency requirements. This post shows how Public AI built a scalable inference platform on Amazon EKS and Intel-powered Amazon EC2 instances to serve Switzerland’s Apertus model family, and why this architecture provides a repeatable blueprint for sovereign LLM initiatives.

Organizations accumulate thousands of hours of session recordings that satisfy compliance mandates but rarely get reviewed. Learn how Teleport and Amazon Bedrock replace manual playback with AI-powered summarization, risk classification, and SIEM-ready alerts—keeping session data within your AWS environment.

Discover how hybrid elasticity introduces a zero-migration data access model that decouples data residency from compute elasticity, enabling enterprises to transform existing data centers into dynamic hybrid data hubs with on-demand cloud scale without moving data.

What if one database could handle transactions, analytics, and semantic vector search for your AI agents—all without managing separate systems? TiDB Cloud on AWS, integrated with Amazon Bedrock, delivers a unified, serverless architecture purpose-built for the demands of autonomous AI. In this post, PingCAP and AWS walk you through the reference architecture, real-world use cases, and the key design decisions to make your generative AI applications production ready using the TiDB console.

Amazon CloudWatch Logs centralization offers AWS partners and customers a streamlined alternative to complex, per-account log aggregation pipelines — consolidating logs from across multiple AWS accounts and regions into a single ingestion point for Splunk. By integrating natively with AWS Organizations, the solution automatically onboards new accounts and log groups, reducing operational overhead and total cost of ownership while preserving security boundaries and full data lineage.

The race to deploy AI agents is accelerating — and the organizations pulling ahead are those that build trust from day one. In this joint blog, PwC Australia and AWS deliver a practical blueprint for deploying AI agents safely at scale, answering the three critical questions your board will ask. Governance, observability, and auditability aren’t constraints on speed — they’re your competitive advantage.

Discover how Amazon Bedrock AgentCore and Temporal work together to transform experimental AI agents into mission-critical, production-grade infrastructure. Delivering enterprise durability, automatic error handling, and seamless multi-agent coordination at scale. Whether you’re managing long-running human-in-the-loop workflows or orchestrating complex financial advisory systems, this powerful combination bridges the gap between AI reasoning and reliable production systems.

SAS Viya Workbench on AWS provides a unified cloud environment for Python, R, and SAS, letting teams focus on building models instead of managing infrastructure. Its split-plane architecture keeps your data securely within your AWS account while SAS handles orchestration. With elastic scalability, pre-configured environments, and built-in collaboration, teams can accelerate analytics innovation from day one.

Modern software teams no longer need to choose between deployment speed and security. CircleCI’s implementation of the AWS Deployment Pipeline Reference Architecture demonstrates how to build enterprise-grade deployment pipelines that deliver 50% faster deployments while reducing security vulnerabilities by 85%. This reference implementation combines the robust cloud infrastructure of AWS with the flexible CI/CD platform of CircleCI, providing a ready-to-fork blueprint that organizations can customize and deploy in an afternoon.

Legacy application migrations can slow innovation and drain resources. Impetus LeapLogic simplifies modernization by automating code, pipeline, and validation workflows—accelerating migration to Amazon SageMaker with unmatched speed and confidence. Discover how LeapLogic and SageMaker empower enterprises to transform legacy workloads on AWS with reduced risk, greater efficiency, and faster business results.