AWS Partner Network (APN) Blog

Tag: AWS IAM

TCS-AWS-Partners

Automating Rotation of IAM User Access and Secret Keys with AWS Secrets Manager

Now that multi-tenancy in the cloud is driving IT operational costs down, large enterprises are seeking seamless service delivery methods that address day-to-day activities in their cloud environment. In this post, learn how AWS Identity and Access Management (IAM) user access keys and secrets may be stored in AWS Secrets Manager and rotated automatically using AWS Lambda at deterministic intervals. The entire workflow and project detailed here is available as part of the TCS Cloud Exponence platform.

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Onica-AWS-Partners

Best Practices from Onica for Optimizing Query Performance on Amazon Redshift

Effective and economical use of data is critical to your success. As data volumes increase exponentially, managing and extracting value from data becomes increasingly difficult. By adopting best practices that Onica has developed over years of using Amazon Redshift, you can improve the performance of your AWS data warehouse implementation. Onica has completed multiple projects ranging from assessing the current state of an Amazon Redshift cluster to helping tune, optimize, and deploy new clusters.

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Cloud Anything-9

Architecting Successful SaaS: Interacting with Your SaaS Customer’s Cloud Accounts

Explore several common AWS services and architectural patterns used by SaaS vendors to interact with their customers’ cloud accounts. Examples of SaaS products requiring some level of account interaction often fall into the categories of logging and monitoring, security, compliance, data analytics, DevOps, workflow management, and resource optimization. SaaS products, such as the ones in these categories, regularly interact with resources in the subscribing customer’s AWS account.

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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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Digital-Workplace-Program

How APN Partners Can Help You Build a Digital Workplace on AWS

The Digital Workplace program at AWS identifies APN Partners and AWS solutions that can help you build a digital workplace. All the partners and AWS solutions that we showcase have passed a Technical Baseline Review with AWS, and some of our APN Partners have also created AWS Quick Starts. These accelerators that reduce hundreds of manual procedures into just a few steps, so you can build your production environment quickly and start using it immediately.

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Next-Caller-AWS-Partners

Building a Data Processing and Training Pipeline with Amazon SageMaker

Next Caller uses machine learning on AWS to drive data analysis and the processing pipeline. Amazon SageMaker helps Next Caller understand call pathways through the telephone network, rendering analysis in approximately 125 milliseconds with the VeriCall analysis engine. VeriCall verifies that a phone call is coming from the physical device that owns the phone number, and flags spoofed calls and other suspicious interactions in real-time.

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Monitoring Your Palo Alto Networks VM-Series Firewall with a Syslog Sidecar

By hosting a Palo Alto Networks VM-Series firewall in an Amazon VPC, you can use AWS native cloud services—such as Amazon CloudWatch, Amazon Kinesis Data Streams, and AWS Lambda—to monitor your firewall for changes in configuration. This post explains why that’s desirable and walks you through the steps required to do it. You now have a way to monitor your Palo Alto Networks firewall that is very similar to how you monitor your AWS environment with AWS Config.

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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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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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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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