Industry Use Cases & Customer Stories

Users usually package their function code as container images when using machine learning (ML) models that are larger than 250 MB, which is the Lambda deployment package size limit for zip files. In this post, we demonstrate an approach that downloads ML models directly from Amazon S3 into your function’s memory so that you can continue packaging your function code using zip files.

Amazon Cognito now allows you to configure terms of use and privacy policy documents for Managed Login pages. This helps customers seamlessly present legal terms during user registration while simplifying implementation. With Managed Login, Cognito customers could previously use its no-code editor to customize the user journey from signup and login to password recovery and multi-factor authentication. Now, customers can additionally use Managed Login to easily set up terms of use and privacy policy documents, saving development teams from building custom solutions. With this capability, you can configure terms of use and privacy policy URLs for each app client in your Cognito user pool. When users register, they see text indicating that by signing up, they agree to your terms of use and privacy policy, and a link to your webpage with the agreement. You can configure different URLs for each supported language to match your Managed Login localization settings. For example, if you have configured the privacy policy and terms of use documents for French (fr) and the same is selected in the lang query-parameter on the sign-up page URL, users will see the French URL you configured. This capability is available to Amazon Cognito customers using the Essentials or Plus tiers in AWS Regions where Cognito is available, including the AWS GovCloud (US) Regions. To learn more, refer to the developer guide and Pricing Detail Page for Cognito Essentials and Plus tier.

In this post, we show how to use Step Functions Distributed Map to process Amazon S3 objects and export results to Amazon S3 Tables, creating a scalable and maintainable data processing pipeline.

AWS B2B Data Interchange introduces new transformation status reporting in the AWS Console, enabling you to monitor and troubleshoot your Electronic Data Interchange (EDI) files processing in a single simple user interface. AWS B2B Data Interchange automates validation, transformation, and generation of EDI files such as ANSI X12 documents to and from JSON and XML data formats. With this launch, you can now track and review the status of the most recently performed EDI transformations directly in the AWS Console. For each partnership, AWS B2B Data Interchange now automatically presents information about the transformation status, timelines, and validation results for up to 10,000 most recently processed input-output pairs. This information enables you to easily track the status of your EDI exchanges with trading partners and troubleshoot issues, all in a single interface without needing to manually review log entries. Support for transformation status reporting is available in all AWS Regions where the AWS B2B Data Interchange service is available. To get started with monitoring your EDI transformations, visit the AWS B2B Data Interchange user guide or take our self-paced workshop.

With the Amazon EMR 7.10 runtime, Amazon EMR has introduced EMR S3A, an improved implementation of the open source S3A file system connector. In this post, we showcase the enhanced read and write performance advantages of using Amazon EMR 7.10.0 runtime for Apache Spark with EMR S3A as compared to EMRFS and the open source S3A file system connector.

In this post, we walk through setting up the Amazon Redshift MCP server and demonstrate how a data analyst can efficiently explore Redshift data warehouses and perform data analysis using natural language queries.

Trellix, a global leader in cybersecurity solutions, emerged in 2022 from the merger of McAfee Enterprise and FireEye. To address exponential log growth across their multi-tenant, multi-Region infrastructure, Trellix used Amazon OpenSearch Service, Amazon OpenSearch Ingestion, and Amazon S3 to modernize their log infrastructure. In this post, we share how, by adopting these AWS solutions, Trellix enhanced their system’s performance, availability, and scalability while reducing operational overhead.

In this post, we outline a comprehensive guide for setting up single sign-on from Tableau desktop to Amazon Redshift using integration with IAM Identity Center and PingFederate as the identity provider (IdP) with an LDAP based data store, AWS Directory Service for Microsoft Active Directory.

Today, we’re excited to announce new capabilities that further simplify the local testing experience for Lambda functions and serverless applications through integration with LocalStack, an AWS Partner, in the AWS Toolkit for Visual Studio Code. In this post, we will show you how you can enhance your local testing experience for serverless applications with LocalStack using AWS Toolkit.

In this post, we walk through the different considerations for using Amazon MSK Replicator over Apache Kafka’s MirrorMaker 2, and help you choose the right replication solution for your use case. We also discuss how to make applications using Amazon Managed Streaming for Apache Kafka (Amazon MSK) resilient to disasters using a multi-Region Kafka architecture using MSK Replicator.

In this post, we explore how to use Amazon EMR, the AWS Cloud Development Kit (AWS CDK), and the Data Solutions Framework (DSF) on AWS to streamline the development process, from setting up a local development environment to deploying serverless Spark infrastructure, and implementing a CI/CD pipeline for automated testing and deployment.

When expanding your Graviton deployment across multiple AWS Regions, careful planning helps you navigate considerations around regional instance type availability and capacity optimization. This post shows how to implement advanced configuration strategies for Graviton-enabled EC2 Auto Scaling groups across multiple Regions, helping you maximize instance availability, reduce costs, and maintain consistent application performance even in AWS Regions with limited Graviton instance type availability.

With AWS Outposts racks, you can extend AWS infrastructure, services, APIs, and tools to on-premises locations. Providing performant, stable, and resilient network connections to both the parent AWS Region as well as the local network is essential to maintaining uninterrupted service. The release of two new Amazon CloudWatch metrics, VifConnectionStatus and VifBgpSessionState, gives you greater visibility into the operational status of the Outpost network connections. In this post, we discuss how to use these metrics to quickly identify network disruptions, using additional data points that can help reduce time to resolution.

In this post, you’ll learn how Zapier has built their serverless architecture focusing on three key aspects: using Lambda functions to build isolated Zaps, operating over a hundred thousand Lambda functions through Zapier's control plane infrastructure, and enhancing security posture while reducing maintenance efforts by introducing automated function upgrades and cleanup workflows into their platform architecture.

In this post, you'll learn how Scale to Win configured their network topology and AWS WAF to protect against DDoS events that reached peaks of over 2 million requests per second during the 2024 US presidential election campaign season. The post details how they implemented comprehensive DDoS protection by segmenting human and machine traffic, using tiered rate limits with CAPTCHA, and preventing CAPTCHA token reuse through AWS WAF Bot Control.

AWS Transform for VMware is a service that tackles cloud migration challenges by significantly reducing manual effort and accelerating the migration of critical VMware workloads to AWS Cloud. In this post, we highlight its comprehensive capabilities, including streamlined discovery and assessment, intelligent network conversion, enhanced security and compliance, and orchestrated migration execution.

In this post, we share how Pegasystems (Pega) built Launchpad, its new SaaS development platform, to solve a core challenge in multi-tenant environments: enabling secure customer customization. By running tenant code in isolated environments with AWS Lambda, Launchpad offers its customers a secure, scalable foundation, eliminating the need for bespoke code customizations.