AWS Partner Network (APN) Blog

Tag: AWS Lambda

Piksel Group_AWS Solutions

Hosting SAP Hybris Commerce on AWS with Piksel Retail

In many retail environments, SAP Hybris Commerce is deployed into production in what could best be described as a traditional way. Some organizations have opted to migrate SAP Hybris Commerce to the cloud, but have done so through “lift and shift” methods. Piksel Retail, a Piksel Group company, created the Digital Commerce Channel (DC2) to address these challenges. DC2 is their SAP Hybris-based e-commerce solution, deployed on AWS. Piksel Group is an APN Advanced Consulting Partner.

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AWS Blockchain Partner Program

Driving Blockchain Innovation with Manifold Technology and AWS Serverless

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.

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Migration-3

High-Performance Mainframe Workloads on AWS with Cloud-Native Heirloom PaaS

Heirloom PaaS 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 PaaS 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.

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Batch

How to Migrate Mainframe Batch to Cloud Microservices with Blu Age and AWS

While modernizing customer mainframes, the team at 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 Blu Age automated transformation technology.

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Build_border

Testing AWS GameDay with the AWS Well-Architected Framework – Continued Remediation

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.

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AWS Lambda

Introducing Splunk AWS Serverless Applications

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.

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AWS Cloud Automation

Innovations in Backup and Restore, AWS Lambda Monitoring, and Natural Language Generation

We see many AWS Partners doing great things and innovating on the AWS Cloud. Veeam is bringing backup technology to the cloud; IOpipe helps you get better insight into your AWS Lambda functions; and Narrative Science uses machine learning to generate auto reports from your big data. These are just a few of the innovations being driven by members of the AWS Partner Network (APN), the global partner program for AWS that is focused on helping you build a successful AWS-based business.

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Build_border

Testing AWS GameDay with AWS Well-Architected Framework – Remediation

This is the second post in our series documenting a project to fix issues with the GameDay architecture by using tenets of the AWS Well-Architected Framework. We cover the steps it took to fix the critical findings identified by the review team. As noted in Part 1 of the series, the review team delivered a list of critical findings we needed to prioritize, as well as a list of non-critical ideas that we should consider in our roadmap.

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How an investment firm collaborated with HashiCorp and AWS to enhance their secrets management

Bridgewater Associates, based in Westport, CT, is a major investment management firm with more than $150 billion in assets that it manages for a global customer base of pension funds, endowments, foundations, central banks, and national governments. It is also an Amazon Web Services (AWS) customer that we’ve worked closely with over the past year […]

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SaaS Factory_feature

Building Serverless SaaS Applications on AWS

SaaS solutions often present architects with a diverse mix of scaling and optimization requirements. With SaaS, your application’s architecture must accommodate a continually shifting landscape of customers and load profiles. The number of customers in the system and their usage patterns can change dramatically on a daily—or even hourly—basis. These dynamics make it challenging for SaaS architects to identify a model that can efficiently anticipate and respond to these variations.

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