AWS Partner Network (APN) Blog
Tag: Analytics
Unifying Cloud Infrastructure and Application Performance Data with AppDynamics and Amazon CloudWatch
AppDynamics (part of Cisco) is an application and business performance monitoring solution that allows you to prioritize your workflows with unified visibility, ensuring your cloud-native apps deliver business value in production. AppDynamics can now retrieve data from Amazon CloudWatch metrics via an AWS metric retrieval API endpoint called GetMetricData, enabling you to pull as many as 500 different metrics in a single request, with a total of 100,800 data points per call.
Bursting Your On-Premises Data Lake Analytics and AI Workloads on AWS
Developing and maintaining an on-premises data lake is a complex undertaking. To maximize the value of data and use it as the basis for critical decisions, the data platform must be flexible and cost-effective. Learn how to build a hybrid data lake with Alluxio to leverage analytics and AI on AWS alongside a multi-petabyte on-premises data lake. Alluxio’s solution is called “zero-copy” hybrid cloud, indicating a cloud migration approach without first copying data to Amazon S3.
Capturing and Visualizing Multi-Tenant Metrics Inside a SaaS Application on AWS
As a SaaS provider, it’s essential to have a clear picture of how tenants are exercising your system. Being able to model the functional and operational profile of tenants and tenant tiers is critical to evolving the business and technical strategies of a SaaS organization. Learn about the role metrics play within a SaaS-based application, and dive deep into a solution that provides all of the infrastructure that will support the ingestion, aggregation, and analysis of SaaS metric data.
Say Hello to 129 New AWS Competency, Service Delivery, Service Ready, and MSP Partners Added in December
We are excited to highlight 129 AWS Partners that received new designations in December for our global AWS Competency, AWS Managed Service Provider (MSP), AWS Service Delivery, and AWS Service Ready programs. These designations span workload, solution, and industry, and help AWS customers identify top AWS Partners that can deliver on core business objectives. AWS Partners are focused on your success, helping customers take full advantage of the business benefits AWS has to offer.
Data Tokenization with Amazon Redshift and Protegrity
Many companies are using Amazon Redshift to analyze and transform their data. As data continues to grow and become even more important, they are looking for more ways to extract valuable insights. One use case we’re especially excited to support is that of data tokenization and masking. Amazon Redshift has collaborated with Protegrity, an AWS Advanced Technology Partner, to enable organizations with strict security requirements to protect their data while being able to obtain the powerful insights.
How to Tokenize and De-Identify Your Data in Amazon RDS with Baffle
Baffle Data Protection Services (DPS) provides a data-centric protection layer allowing customers to tokenize, encrypt, and mask data in Amazon RDS at the column or row level, without any application code modifications while supporting a BYOK or HYOK model. Review the architecture for Baffle DPS, and walk through how to launch and test Baffle DPS from an AWS CloudFormation template with Amazon RDS databases to encrypt data at the column level.
The Most Viewed APN Blog Posts in 2020
From SaaS to ISVs, here’s a look at the most popular APN Blog posts in 2020. 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 AWS Partner Network (APN) specifically. The APN is the global partner program for AWS and helps tens of thousands of organizations across the world build, market, and sell their AWS-based offerings.
Leveraging Serverless Architecture to Build an Enterprise Data Repository Platform for Customer Insights and Analytics
Moving data between multiple data stores requires an extract, transform, load (ETL) process using various data analysis approaches. ETL operations form the backbone of any modern enterprise data and analytics platform. AWS provides a broad range of services to deploy enterprise-grade applications in the cloud. This post explores a strategic collaboration between Tech Mahindra and a customer to build and deploy an enterprise data repository on AWS and create ETL workflows using a serverless architecture.
Say Hello to 85 New AWS Competency, Service Delivery, Service Ready, and MSP Partners Added in November
We are excited to highlight 85 AWS Partners that received new designations in November for our global AWS Competency, AWS Managed Service Provider (MSP), AWS Service Delivery, and AWS Service Ready 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.
How Etleap Integrates with Amazon Redshift Data Sharing to Provide Isolation of ETL and BI Workloads
Tens of thousands of customers use Amazon Redshift to process exabytes of data per day and power analytics workloads such as business intelligence, predictive analytics, and real-time streaming analytics. Learn how Etleap integrates with new data sharing and cross-database querying capabilities in Amazon Redshift to enable workload isolation for diverse analytics use cases in customer environments. Etleap integrates with any data source and runs either as a hosted solution (SaaS) or inside your VPC.








