Below you will find Customer Talks and learn from companies themselves how they solved their business challenges with AWS Lambda.
Learn how the London Stock Exchange Group (LSEG) built and secured a data warehouse and a front-end API using Cognito, API Gateway, AWS Elastic Beanstalk, Lambda Functions, Redshift, Elasticsearch, ElastiCache, RDS, and EMR in just 5 month. It stores 20 years of historical data, and is accessible through web clients and an API.
By combining microservices and serverless technologies, you can achieve ultimate flexibility and agility, while greatly reducing operational overhead and cost. National Geographic will share how it built its content personalization NG1 platform using a serverless, microservices architecture.
AWS Step Functions makes it easy to coordinate AWS Lambda functions. In this session, we’ll present a series of innovative applications of state machines from all sorts of customers. Guest-star Coca-Cola will show how they used Step Functions to support vending loyalty programs and product nutrition syndication.
In this 2017 re:Invent session, we will discuss how high performance computing (HPC) and grid computing are evolving to leverage serverless architectures with AWS Lambda. Fannie Mae describe the journey to develop the first serverless HPC platform in its industry. They will cover how Lambda has enabled the company to perform quadrillions of calculations each month, at a fraction of the cost and effort.
Verizon's Revvel team migrated from transcoding video on EC2 instances to a serverless pipeline using AWS Lambda and Amazon S3. The Revvel team will cover how they were able to achieve massive parallelization while never paying for idle resources, and best practices for creating a custom CI/CD pipeline for Lambda functions.
Listen to how iRobot approaches serverless deployment. They will share how they achieve coordinated deployments of microservices, maintain long-lived and/or separately-managed resources (like databases), and red/black deployments.
Principal architect Mike Broadway describes how HomeAway built a high-throughput, scalable pipeline for manipulating, storing, and serving hundreds of image files every second with Lambda, Amazon S3, DynamoDB, and Amazon SNS.
Learn how Nextdoor replaced their home-grown data pipeline based on a topology of Flume nodes with a completely serverless architecture based on Kinesis and Lambda. By making these changes, they improved both the reliability of their data and the delivery times of billions of records of data to their Amazon S3–based data lake and Amazon Redshift cluster.
CapitalOne will talk about how they migrated millions of transactions to a completely serverless architecture and built a scalable, resilient and fast transaction platform by leveraging DynamoDB, AWS Lambda and other services within the serverless ecosystem.
FICO has migrated several core applications, including myFICO.com and its flagship analytics platform, the Decision Management Suite (DMS), to AWS, and will migrate additional applications over the next years. Hear from Jeet Kaul how FICO is using serverless computing for its predictive analytics and data science platforms.
See how Pacific Northwest National Laboratory's software engineers utilize AWS Lambda and serverless architecture to enable better collaboration between researchers and engineers, and to power the data processing systems.
Learn how Financial Engines leverages AWS X-Ray to debug, monitor, and analyze latency data for its serverless applications. Financial Engines will also share some best practices for debugging and reporting.
DataDome, a startup that helps you to identify bot traffic to your site and block bad bots, share their experience with Lambda@Edge and CloudFront. Deployed globally on CloudFront PoP locations, DataDome's bot protection service can now be activated in one-click through the AWS console.
In this 2016 re:Invent talk, Coca-Cola North America will give a glimpse into the tools and strategies they’ve developed to make their next generation of digital marketing applications completely serverless.
In this re:Invent 2016 talk, Hearst, one of the largest publishers of monthly magazines, shows how they took their old cron-based Clickstream and turned it into a serverless solution with AWS Lambda.
Thomson Reuters discusses how they built their Product Insights tool for internal use and analytics tracking using AWS Lambda.
In the middle of 2015, Expedia started using AWS Lambda for serverless computing. Expedia has built boilerplate templates in Node.js, Java, and Python so development teams could build and deploy serverless applications into AWS. Currently, they have 300 AWS Lambda functions processing 40 million invocations per day.
FINRA, the financial industry regulator authority, monitors 99% of all trading in US-listed equities and performs 1/2 trillion validations a day. Hear how they used a AWS Lambda-centric serverless solution to build their validation platform.
In this re:Invent 2016 talk, Vevo, an American multinational video hosting service shares their journey from monolithic legacy services to modern microservices architecture using services such as AWS Lambda which has helped speed up the development process and time to market.
In this episode of This Is My Architecture, Amit from CA Technologies explains how they built a serverless AWS Lambda function deployment pipeline using Amazon S3, Amazon SNS, and additional Lambda functions for release automation.
How Agero is Preventing and Detecting Vehicle Accidents in Real-Time with Serverless Computing
Agero protects 80 million motorists in North America through their software-enabled driver safety services. To address rising crash fatalities, Agero built a near real-time driver behavior analysis platform that provides actionable insights to its customers on how to become safer drivers. The backend is built on Lambda, DynamoDB, Amazon S3, Kinesis, and Amazon Redshift.
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