AWS Blog

Transforming the Software Development Lifecycle (SDLC) with Generative AI

Transforming the Software Development Lifecycle (SDLC) with Generative AI

Discover how IBM and AWS are revolutionizing software development with their new Generative AI-powered SDLC solution. By integrating Amazon Bedrock’s capabilities, organizations can achieve up to 30% faster development time, 25% improved code quality, and 60% reduction in analysis phase time. Available now on AWS Marketplace, this solution brings standardization and efficiency to every stage of the software development lifecycle.

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Reduce your operational overhead today with Amazon CloudFront SaaS Manager

Reduce your operational overhead today with Amazon CloudFront SaaS Manager

Amazon CloudFront SaaS Manager helps software-as-a-service (SaaS) providers and web hosting platforms efficiently manage delivery across multiple domains. CloudFront SaaS Manager can dramatically reduce operational complexity while providing high-performance content delivery and enterprise-grade security for every customer domain.

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Streamlining content compliance: Automating media analysis with Amazon Nova

Streamlining content compliance: Automating media analysis with Amazon Nova

Streamline content compliance using Amazon Bedrock and Nova foundation models to automatically analyze content across multiple rating systems, significantly reducing review time while maintaining accuracy and lowering costs.

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  • Building secure guardrails for Amazon ECS with AWS IAM and AWS CloudFormation Guard
    Olly Pomeroy, 05/04/2025
    This blog post was authored by Olly Pomeroy, Senior Container Specialist Solution Architect at AWS. As organizations grow, enforcing governance and securing workloads becomes increasingly complex. Security and platform teams face the challenge of implementing consistent security controls, enforcing defaults, and applying best practices without slowing down application teams. Organizations need a comprehensive approach to [...]
  • Building Resilient Distributed Systems with Temporal and AWS
    Sai Kotagiri, 05/03/2025
    Learn how Temporal’s workflow engine, powers resilient applications, ensuring consistency and automatic recovery during system failures. In this post we will examine distributed system challenges and demonstrate how Temporal’s solution, on AWS, enables durable execution across organizations.
  • Maximize Marketing Impact with an AI-Driven Composable CDP powered by GrowthLoop and AWS
    Harmeet Nandrey, Jas Singh, 05/03/2025
    This post will explore what a composable CDP is and why organizations are embracing this new approach to data activation. Additionally, it will explain how organizations can integrate GrowthLoop’s composable CDP platform with their existing AWS infrastructure to enable an AI-powered feedback loop for smarter campaign activation.
  • Understanding transaction visibility in PostgreSQL clusters with read replicas
    Sergey Melnik, 05/03/2025
    On April 29, 2025, Jepsen published a report about transaction visibility behavior in Amazon RDS for PostgreSQL Multi-AZ clusters. We appreciate Jepsen’s thorough analysis and would like to provide additional context about this behavior, which exists both in Amazon RDS and community PostgreSQL. In this post, we dive into the specifics of the issue to provide further clarity, discuss what classes of architectures it might affect, share workarounds, and highlight our ongoing commitment to improving community PostgreSQL in all areas, including correctness.
  • Port .NET Framework workloads to Linux with Amazon Q Developer, Part 4: MVC projects
    Ty Augustine, Sylvester Creado, Pavankumar Kasani, 05/02/2025
    Introduction This post continues our blog series on modernizing .NET Framework applications to cross-platform .NET using Amazon Q Developer .NET transformation. We’ve already covered porting class libraries in Part 1, test projects in Part 2, and Web API applications in Part 3. In this fourth installment, we’ll focus on migrating ASP.NET MVC applications to ASP.NET [...]
  • AWS secures internet routing with RPKI plus security checks
    Camden Forgia, Jon Phillibert, 05/02/2025
    In our previous post on demystifying AWS Data Transfer services, we briefly explained how AWS is designed from its foundation to be the most secure way for our users to run their workloads in the cloud. In this post, we build on that and focus on how AWS has the largest implementation1 of Resource Public [...]
  • Amazon OpenSearch Service launches flow builder to empower rapid AI search innovation
    Dylan Tong, Ka Ming Leung, Mingshi Liu, Tyler Ohlsen, 05/02/2025
    The AI search flow builder is available in all AWS Regions that support OpenSearch 2.19+ on OpenSearch Service. In this post, we walk through a couple of scenarios to demonstrate the flow builder. First, we’ll enable semantic search on your old keyword-based OpenSearch application without client-side code changes. Next, we’ll create a multi-modal RAG flow, to showcase how you can redefine image discovery within your applications.
  • Next-Generation Data Integration with AWS Data Services and Dataddo
    Stanley Chukwuemeke, Petr Nemeth, 05/02/2025
    Dataddo simplifies data integration on AWS through its comprehensive feature set. The platform includes pre-built AWS connectors and fully managed pipelines for seamless integration. Its coding-optional interface enables both technical and non-technical users to manage data workflows effectively. The built-in quality and compliance mechanisms further streamline operations, significantly reducing the engineering resources needed for data processing. This allows both, data teams and business teams to focus on deriving meaningful value from their data.
  • How AWS is Transforming Manufacturing: Key Takeaways and Insights from Hannover Messe 2025
    Emily O'Kelly, 05/02/2025
    Hannover Messe 2025 hosted 127,000 visitors, 4,000 exhibitors, 1,600 speakers, and over 1 million online visitors over the week of March 31st to April 4th in Hannover, Germany. The show facilitated great discussions between industry-leading companies and global manufacturers discussing how generative artificial intelligence (AI), automation, digitalization, and electrification are powering industrial innovation. Once again, [...]
  • Build a gen AI–powered financial assistant with Amazon Bedrock multi-agent collaboration
    Suheel Farooq, Aswath Ram A Srinivasan, Girish Krishna Tokachichu, Qingwei Li, 05/02/2025
    This post explores a financial assistant system that specializes in three key tasks: portfolio creation, company research, and communication. This post aims to illustrate the use of multiple specialized agents within the Amazon Bedrock multi-agent collaboration capability, with particular emphasis on their application in financial analysis.
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