Tag: AWS Lambda

We are excited to highlight 29 APN Partners that received new designations in January for our global AWS Competency, AWS Managed Service Provider (MSP), and AWS Service Delivery programs. These designations span workload, solution, and industry, and help AWS customers identify top APN Partners that can deliver on core business objectives. APN Partners are focused on your success, helping customers take full advantage of the business benefits AWS has to offer.

At AWS re:Invent 2018, the AWS Lambda team launched Lambda Layers and the Lambda Runtime API. Lambda Layers enables you to centrally manage code and data that is shared across multiple functions. And the Runtime API provides a simple interface to use any programming language, or a specific language version, for developing your functions. APN Partners were integral to making these launches a success, providing both Layers and runtimes that help customers build on serverless.

Take a look at the most popular APN Blog posts in 2018. Our goal with this blog is to share timely and relevant news, technical solutions, Partner success stories, and more from Amazon Web Services and the APN specifically. For AWS customers, you can trust that APN Partners are focused on your success, helping you take full advantage of the business benefits AWS has to offer. With their deep expertise, APN Partners are uniquely positioned to help your company at any stage of your Cloud Adoption Journey.

Learn how to create a sample custom Box Skill by using Amazon Rekognition Image and AWS Lambda to apply computer vision to image files in Box. This new metadata allows you to quickly find images based on keyword searches, or find images that may be inappropriate and should be moderated. With services like Amazon Transcribe, Amazon Translate, Amazon Comprehend, Amazon Rekognition Video, and Amazon SageMaker, there’s no limit to the ways you can apply AI/ML to your media files.

The new AWS Lambda runtime API and layers capabilities give us the ability to build a clean, supportable implementation of PHP on Lambda of our own. We’ll take a brief look at the overall workflow and runtime lifecycle, and then show you one way to build a PHP runtime to start powering your PHP applications on AWS Lambda. Not a PHP developer? You can adapt the examples in this guide to build a custom runtime in your language of choice.

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.

Heirloom automatically refactors mainframe applications’ code, data, job control definitions, user interfaces, and security rules to a cloud-native platform on AWS. Using an industry-standard TPC-C benchmark, we demonstrated the elasticity of Heirloom on AWS, delivering 1,018 transactions per second—equivalent to the processing capacity of a large mainframe. Heirloom Computing is an APN Standard Technology Partner.

As part of the onboarding process when joining the AWS Service Delivery Program, APN Partners must go through a technical audit of their experience delivering AWS services to end customers. This audit is conducted by internal technical experts who validate the APN Partner’s knowledge and capabilities for a specific AWS service. To help APN Partners better understand this process, we are introducing Validation Checklists that provide visibility into the criteria we use during an organization’s technical validation.

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.

This is the third post in our series documenting a project to fix issues with the AWS GameDay architecture by using tenets of the AWS Well-Architected Framework. In Part 2, we remediated the critical findings found in our initial review and here we’ll cover remediating the deficiencies found in our Disaster Recovery plan, as well as other optimizations we’ve made due to recent announcements. We will also discuss how to address another crucial component in our application development—testing.