AWS Partner Network (APN) Blog

Category: Serverless

How to Build a Real-Time Gaming Leaderboard with Amazon DynamoDB and Rockset

For microservices that predominantly write data, Amazon DynamoDB provides an “always on” experience without the need for careful capacity planning, resharding, and database maintenance. These capabilities make DynamoDB a popular database service for various parts of game platforms like player data, game state, session history, and leaderboards. Learn how to pair Amazon DynamoDB with an analytics solution like Rockset to automatically index your data for fast search, aggregations, and joins at scale.

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Quickly Build End-to-End Integrations to SaaS Partner Event Sources and AWS Services with Amazon EventBridge

AWS introduced Amazon EventBridge partner event source integrations to showcase reference architectures and end-to-end use cases that help you get started quickly with integrating SaaS partners in your own applications. Fully open source, these solutions include code and AWS Serverless Application Model (SAM) templates that can be customized and extended to fit your application’s needs. The reference architectures include AWS Quick Starts and GitHub code to ease integration.

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How Kloia Helped GoDataFeed Modernize Monolithic .NET Applications with AWS Serverless

Many enterprises have .NET Framework legacy applications they need modernize and convert to cloud-native. One of the largest product feed automation and optimization platforms, GoDataFeed has a back-end platform that ingests millions of items of catalog data from multiple sources. Learn how Kloia addressed GoDataFeed’s challenges by transforming their legacy .NET Framework monolithic application into a .NET Core-based decoupled architecture.

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Making Serverless CI/CD Easier with CircleCI and Serverless Framework

CircleCI has released an aws-serverless-framework orb to make it easier to continuously integrate and deploy serverless applications built using the Serverless Framework. Learn how to use the framework to develop and test a sample serverless application, and how to use CircleCI to implement continuous integration and deployment of that serverless application. CircleCI’s continuous integration and delivery platform allows teams to rapidly release code they trust by automating the build, test, and delivery process.

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Q/Kdb+ on AWS Lambda: Serverless Time-Series Analytics at Scale

AWS Lambda is a particularly desirable environment for HPC applications because of the high level of parallelization it supports. Kx, an APN Advanced Technology Partner, created a q/kdb+ runtime that enables financial institutions to optimize their applications for the serverless environment of AWS Lambda. Q/kdb+ has been widely adopted by the financial services industry because of its small footprint, high performance, and high volume time-series analytics capabilities.

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Level Up Your Serverless Applications with AWS Lambda Ready Partners

The AWS Lambda Ready Program, part of the AWS Service Ready Program, makes it easy for customers to find developer tools and integrations that are validated by AWS serverless experts to work with AWS Lambda. Customers use AWS Lambda to focus on product innovation while enjoying faster time-to-market, without thinking about server management. With AWS Lambda, you can simply upload and run code with high availability and fault tolerance built in, paying only for the compute time you consume.

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Using GitLab CI/CD Pipeline to Deploy AWS SAM Applications

In order to deliver serverless applications, customers often turn to DevOps principles to efficiently build, deploy, operate, and iterate on features and changes. CI/CD is one of the major components of DevOps that helps deliver code faster and more reliably to production. GitLab’s continuous integration offering provides a rich set of features for automating how new code is incorporated into your software and how new versions of your software get built and deployed.

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How Steamhaus Used AWS Well-Architected to Improve Sperry Rail’s Artificial Intelligence System

Over two days, Steamhaus conducted an AWS Well-Architected Review on-site with the team who designed, built, and currently manage Elmer at Sperry Rail. Elmer uses machine intelligence to inspect thousands of miles of ultrasound scans collected by Sperry’s inspection vehicles, searching for evidence of cracks in the rail. This partnership allowed quick improvements in efficiency, while ensuring the requirements of running the business day-to-day did not get in the way of improving Elmer.

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Leveling Up Your Alerting Workflow with Thundra’s Deep Instrumentation Capabilities

Serverless architectures allow application teams to build applications quickly without worrying about any of the underlying servers. Thundra’s cloud-native observability and security tool helps you test, debug, monitor, troubleshoot, and secure AWS Lambda functions, containers deployed by services like AWS Fargate, and their environments composed of managed or unmanaged services. Walk through a sample alerting scenario and learn how Thundra helps pinpoint and resolve the problem.

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Automated Refactoring from Mainframe to Serverless Functions and Containers with Blu Age

Mainframe workloads are often tightly-coupled legacy monoliths with millions of lines of code, and customers want to modernize them for business agility. Manually rewriting a legacy application for a cloud-native architecture requires lots of re-engineering. See how Blu Age transformed a typical mainframe CICS application to AWS containers and AWS Lambda functions. You’ll also learn how to increase mainframe workload agility with refactoring to serverless and containers.

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