Tag: AWS Partner Guest Post

Change Data Capture (CDC) is the technique of systematically tracking incremental change in data at the source, and subsequently applying these changes at the target to maintain synchronization. You can implement CDC in diverse scenarios using a variety of tools and technologies. Here, Cognizant uses a hypothetical retailer with a customer loyalty program to demonstrate how CDC can synchronize incremental changes in customer activity with the main body of data already stored about a customer.

To proactively identify and remediate potential errors, you need deep visibility into your entire Amazon RDS environment. This post shows you how Datadog can fetch data from Amazon CloudWatch and your Amazon RDS database instances to give you a comprehensive view of your cloud environment. We also dive into how you can automatically detect performance anomalies, abnormal throughput behavior, and forecasting storage capacities.

DroneAnalytics offers hardware and software solutions for drones and connected objects. The consulting services from Swisscom, based on the AWS Well-Architected Framework, enabled them to more properly monitor their consumption of AWS services. By leveraging Well-Architected best practices and working with Swisscom, DroneAnalytics saved 60 percent on their AWS spend, whilst maintaining the same or better levels of operational efficiency, reliability, and performance.

Many APN Partners face the same challenge as their end customers: how do you manage ever-accelerating cycles of innovation to stay relevant? ISSI has worked with more than 300 partner organizations worldwide, including more than 100 hyperscale cloud MSPs, from small, local, and regional shops to large companies with global reach. Learn why companies that establish a Cloud Center of Excellence (CCoE) gain the knowledge and expertise required to help end customers succeed with cloud technologies.

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.

Keeping your Linux system up to date with the latest operating system and application software patches is one of the most effective ways to strengthen system security. Enterprises sometimes neglect to install the latest security updates because most kernel upgrades and security patches require a system reboot, which means downtime and waiting for reboot cycles. KernelCare from CloudLinux can live patch Amazon EC2 instances based on AWS Graviton2 Arm64 processors.

Fragmented supply-chain management systems can impair an enterprise’s ability to make informed, timely decisions. Accenture’s Intelligent Revenue and Supply Chain (IRAS) platform integrates insights generated by machine learning models into an enterprise’s technical and business ecosystems. This post explains how Accenture’s IRAS solution is architected, how it can coexist with other ML forecasting models or statistical packages, and how you can consume its insights in an integrated way.

With the recent launch of Amazon EC2 M6g instances, the new instances powered by AWS Graviton2 Arm-based processors deliver up to 40 percent better price and performance over the x86-based current generation M5 instances. At Rapid7, an AWS Security Competency Partner, thousands of customers use InsightVM scan engine to assess their EC2 instances for vulnerabilities. Learn how to deploy the InsightVM scan engine in an AWS Graviton2-based environment.

Spark is a distributed computing framework that added new features like Pandas UDF by using PyArrow. You can leverage Spark for distributed and advanced machine learning model lifecycle capabilities to build massive-scale products with a bunch of models in production. Learn how Perion Network implemented a model lifecycle capability to distribute the training and testing stages with few lines of PySpark code. This capability improved the performance and accuracy of Perion’s ML models.

Amazon Fraud Detector is a fully managed service that makes it easy to identify potentially fraudulent online activities, such as online payment fraud and the creation of fake accounts. Learn how APN Premier Consulting Partner TCS has been integrating Amazon Fraud Detector to detect spam calls and route them efficiently using Amazon Connect. Used together, these AWS services can distinguish your genuine customers from spam or fraudulent callers.