AWS Blog

Local testing to cloud deployment: development workflows in Amazon GameLift

Local testing to cloud deployment: development workflows in Amazon GameLift

Amazon GameLift Anywhere enables game developers to streamline their development workflow with local testing and development of multiplayer game servers and seamless transition paths to managed Amazon EC2 or container fleets for production deployment.

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AWS Documentation update — progress, challenges, and what’s next for 2025

AWS Documentation update — progress, challenges, and what’s next for 2025

AWS has been making significant improvements to their documentation through content restructuring, increased code samples, enhanced website navigation, and AI integration, while maintaining their commitment to accuracy and accessibility as they work towards becoming the industry leader in technical documentation.

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The Feedback Fix: How to fuel a learning culture

The Feedback Fix: How to fuel a learning culture

Traditional feedback methods, like the sandwich approach or harsh criticism, are being replaced by more effective feedback strategies that focus on excellence, real-time reactions, and coaching-style interactions to build organizational learning and intelligence.

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  • Jamie Kuo, Kage Yang, 02/20/2025
    Introduction: In today’s manufacturing landscape, organizations are integrating artificial intelligence (AI), machine learning (ML), data analytics, Internet of Things (IoT), and cloud computing. These technologies help improve efficiency, quality control, and innovation across various manufacturing processes. By using real-time data, predictive analytics, and automation, manufacturers can increase productivity and competitiveness in the global market. However, [...]
  • Josh Hart, Nihilson Gnanadason, 02/20/2025
    In this post, we discuss the fully managed approach using Amazon Bedrock Knowledge Bases to simplify the integration of the data source with your generative AI application using Aurora. Amazon Bedrock is a fully managed service that makes foundation models (FMs) from leading AI startups and Amazon available through an API, so you can choose from a wide range of FMs to find the model that is best suited for your use case.
  • Josh Hart, Nihilson Gnanadason, 02/20/2025
    In this post, we explore the process of building a multi-tenant generative AI application using Aurora PostgreSQL-Compatible for vector storage. In Part 1 (this post), we present a self-managed approach to building the vector search with Aurora. In Part 2, we present a fully managed approach using Amazon Bedrock Knowledge Bases to simplify the integration of the data sources, the Aurora vector store, and your generative AI application.
  • Santosh Kulkarni, Joyanta Banerjee, Mallik Panchumarthy, 02/20/2025
    In this post, we explore how you can use LLMs with advanced Retrieval Augmented Generation (RAG) to generate high-quality synthetic data for a finance domain use case. You can use the same technique for synthetic data for other business domain use cases as well. For this post, we demonstrate how to generate counterparty risk (CR) data, which would be beneficial for over-the-counter (OTC) derivatives that are traded directly between two parties, without going through a formal exchange.
  • Sajin Jacob, Jerry Chen, Siddarth Mohanram, Luis Barbier, Kristen Chenowith and Michelle Stahl, Arun Pradeep Selvaraj, Ryan Doty, 02/20/2025
    Verisk’s Premium Audit Advisory Service is the leading source of technical information and training for premium auditors and underwriters. In this post, we describe the development of the customer support process in PAAS, incorporating generative AI, the data, the architecture, and the evaluation of the results. Conversational AI assistants are rapidly transforming customer and employee support.
  • Nurani Parasuraman, Don Southard, 02/20/2025
    Cloud transformation requires balancing centralized control with decentralized flexibility across both strategy and execution dimensions, with organizations typically needing to align their approach with specific business goals while remaining adaptable.
  • Nivedita Tripathi, Alex Torres, Samir Behara, 02/20/2025
    Responding to security findings is crucial for maintaining the security posture of your AWS environment. By promptly addressing identified vulnerabilities, misconfigurations, or potential threats, you can mitigate risks, protect your data and resources, and ensure compliance with industry standards and regulatory requirements. Effective incident response involves identifying, detecting, investigating, prioritizing and resolving the findings. It’s [...]
  • Dylan Souvage, Kelsie Brunson, Mrinali Umashankar, 02/20/2025
    The AWS Partner Network (APN) offers several training resources to help Independent Software Vendors (ISVs) succeed—from showing how to list your first solution on AWS Marketplace to teaching you how to accelerate growth through co-selling and funding opportunities. This blog post compiles these resources and explains the benefit of each.
  • Phil Le-Brun, Jana Werner, 02/19/2025
    Traditional feedback methods, like the sandwich approach or harsh criticism, are being replaced by more effective feedback strategies that focus on excellence, real-time reactions, and coaching-style interactions to build organizational learning and intelligence.
  • Florian Seidel, André Schmidt, Vineet Singh, Carlo Degli Atti Panzeri, 02/19/2025
    In this post, we explore how BMW Group used AWS analytics services, AWS Partner solutions, and Amazon QuickSight to build the Shop Floor Business Intelligence (SFBI) initiative.

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