Category: Serverless

When a national UK retailer undertook the challenge of replacing their e-commerce platform, the challenge was not inconsiderable. A heavily-customized WebSphere implementation had been the backbone of the organization for many years and was integrated throughout the business. Learn how BJSS leveraged the AWS Serverless Platform and an innovative delivery approach to deliver success for the customer.

Questis, a configurable technology platform for financial intermediaries, realized their backend infrastructure required additional development to improve performance, provide high-availability, and rapidly scale to meet the needs of Questis customers accessing the platform. Learn why they chose to team up with Heimdall Data, an AWS Competency Partner that offers a transparent database proxy and gives developers SQL visibility and control to improve backend performance and scalability.

Manifold Technology has built a highly scalable, cost-effective, and easy-to-integrate blockchain platform that’s architected to deploy on AWS. Manifold lets you manage blockchains for any application, from branded currencies and settlement, to asset management and intelligent automation. The platform uses AWS Lambda to deliver a distributed ledger capability with blockchain auditability and the ability to detect possible tampering. Manifold is an APN Standard Technology Partner.

With the introduction of Amazon Aurora Serverless (currently in preview), SaaS providers are now equipped with a model to bring the scale and cost efficiency of serverless computing directly to storage partitioning models of SaaS solutions. We take a closer look at how Aurora Serverless works and how it influences your approach to storage partitioning in SaaS environments. The goal here is to highlight the implications of the serverless storage model, identifying key areas that will be of particular interest to SaaS developers.

While modernizing customer mainframes, the team at AWS Blu Age discovered that Batch can be a complex aspect of a mainframe migration to AWS. It’s critical to design your AWS architecture to account for the key Batch stringent performance requirements such as intensive I/Os, large datasets, and short durations. Let’s explore how to migrate mainframe Batch to AWS microservices using AWS Blu Age automated transformation technology.

At AWS re:Invent 2017, we introduced the AWS Serverless Application Repository that enables AWS customers to easily discover, deploy, and publish serverless apps for data processing, stream processing, Internet of Things (IoT) device data telemetry, and more. The Splunk AWS Serverless Applications are available from the AWS Lambda console and allow customers to ingest TBs of data into Splunk. Check out the Splunk serverless apps that are open-sourced to dive deeper, including the underlying AWS SAM template.