AWS Partner Network (APN) Blog

Category: Advanced (300)

AWS-Config-Rules-1

Integrating Third-Party Solutions to AWS Config Rule Evaluations

AWS Config continuously monitors and records your AWS resource configurations, and allows you to automate the evaluation of recorded configurations against desired configurations. This post aims to assist you on deploying a set of custom AWS Config Rules that leverages third-party REST APIs to evaluate AWS resources in an automated fashion. The AWS Config evaluations represented in this guide show the reporting status of Amazon EC2 instances against TrendMicro and Qualys.

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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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Machine Learning-3

Accelerating Machine Learning with Qubole and Amazon SageMaker Integration

Data scientists creating enterprise machine learning models to process large volumes of data spend a significant portion of their time managing the infrastructure required to process the data, rather than exploring the data and building ML models. You can reduce this overhead by running Qubole data processing tools and Amazon SageMaker. An open data lake platform, Qubole automates the administration and management of your resources on AWS.

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Teradata-AWS-Partners

How to Use AWS Glue to Prepare and Load Amazon S3 Data for Analysis by Teradata Vantage

Customers want to use Teradata Vantage to analyze the data they have stored in Amazon S3, but the AWS service that prepares and loads data stored in S3 for analytics, AWS Glue, does not natively support Teradata Vantage. To use AWS Glue to prep and load data for analysis by Teradata Vantage, you need to rely on AWS Glue custom database connectors. Follow step-by-step instructions and learn how to set up Vantage and AWS Glue to perform Teradata-level analytics on the data you have stored in Amazon S3.

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Infosys-AWS-Partners

In-Depth Strategies from Infosys to Help Customers Re-Platform Mainframes on AWS

Re-platforming is a popular mainframe modernization approach because it’s flexible and transparent to the user. Learn about the phased migration approach Infosys uses for re-platforming mainframe applications. We’ll provide an overview of each step and the corresponding Infosys tools and accelerators we use to ensure successful mainframe migrations, including Micro Focus Enterprise Server (MF-ES).

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Running SQL on Amazon Athena to Analyze Big Data Quickly and Across Regions

Data is the lifeblood of a digital business and a key competitive advantage for many companies holding large amounts of data in multiple cloud regions. Imperva protects web applications and data assets, and in this post we examine how you can use SQL to analyze big data directly, or to pre-process the data for further analysis by machine learning. You’ll also learn about the benefits and limitations of using SQL, and see examples of clustering and data extraction.

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Telefonica-AWS-Partners

Using a Telefonica Data Bridge to Connect Narrow Band IoT Devices to AWS IoT Core

AWS IoT Core supports billions of devices and trillions of messages, and can process and route those messages to AWS endpoints and other devices reliably and securely. AWS IoT Core requires X.509 certificates for authentication, but the X.509 standard consumes battery power, negating LPWAN’s advantage in that area. Telefonica developed a data bridge to enable IoT devices to connect securely to AWS IoT Core, while preserving the long range, low cost, and low power advantages of LPWAN connections.

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Cloudsoft-AWS-Partners

Using Terraform to Manage AWS Programmable Infrastructures

Terraform and AWS CloudFormation allow you to express infrastructure resources as code and manage them programmatically. Each has its advantages, but some enterprises already have expertise in Terraform and prefer using it to manage their AWS resources. To accommodate that preference, CloudFormation allows you to use non-AWS resources to manage AWS infrastructure. Learn the steps to create a CloudFormation registry resource type for Terraform and deploy it as an AWS Service Catalog product.

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BMC-AWS-Partners

How to Orchestrate a Data Pipeline on AWS with Control-M from BMC Software

In spite of the rich set of machine learning tools AWS provides, coordinating and monitoring workflows across an ML pipeline remains a complex task. Control-M by BMC Software that simplifies complex application, data, and file transfer workflows, whether on-premises, on the AWS Cloud, or across a hybrid cloud model. Walk through the architecture of a predictive maintenance system we developed to simplify the complex orchestration steps in a machine learning pipeline used to reduce downtime and costs for a trucking company.

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GitLab-AWS-Partners

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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