AWS Partner Network (APN) Blog

Tag: Amazon Kinesis Data Firehose

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Developing a Serverless, Fully-Managed Connected Vehicle Platform with Real-Time Analytics on AWS

In a recent customer engagement, Quantiphi developed a serverless, fully-managed connected vehicle platform that enabled real-time analytics on telematics data for one of the world’s leading car-as-a-service companies. Learn about IoT-based telematics solutions that are transforming the fleet management industry and explore how Quantiphi helped a U.S.-based fleet management organization make better decisions and improve customer and asset service.

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Building a Serverless Stream Analytics Platform with Amazon Kinesis Data Firehose and MongoDB Realm

A serverless architecture strategy reduces complexity and provides more flexibility in adopting the features and non-functional requirements needed to support market agility. In this post, walk through an example of an IoT use case and build a serverless scalable platform using Amazon Kinesis Data Firehose, Amazon Kinesis Data Analytics, and MongoDB Realm. You’ll learn how easy it is to develop mobile and desktop applications on top of the data platform for different personas.

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Solving the Challenge of Customer Verification and Security with Digital Onboarding

Customer onboarding remains a challenging and time-consuming process for most banks. Both digital and traditional processes are often overly complex, resulting in lower conversion rates and higher cost of acquisition. To overcome these challenges, numerous financial institutions have started customer onboarding online. In this post, walk through the use case of one of the largest financial institutes of Europe for whom Infostretch provided a substantial breakthrough to onboard the customers digitally.

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Why Do Aftermarket Capabilities Often Sit in the Backseat of Digital Transformation Priorities?

Smart manufacturing and aftermarket services both require a new approach to connected device maintenance, recall, and warranty value chains. To really succeed, manufacturers need to automate the end-to-end processes connecting devices and users to the extended value chain. Learn how the seamless combination of Pegasystem’s low-code intelligent automation and AWS IoT can provide manufacturers with the most compelling digital transformation platform.

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How HCLTech Centralized a Customer’s Log Management Solution Within a Hybrid Environment

Many customers operate in a hybrid environment with on-premises infrastructure interconnected with a cloud provider’s infrastructure. This post details how HCLTech used the AWS Centralized Log Management Reference Architecture, and discusses how HCLTech removed the requirements for Amazon Kinesis Data Streams. We also explore how HCLTech used Amazon Kinesis Data Firehose to stream from an Amazon CloudWatch Logs destination in a centralized logging account.

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CyberArk Launches Identity Security Platform Shared Services with Support from AWS SaaS Factory

Global leader in identity security CyberArk’s Identity Security Platform will be a native SaaS solution built on AWS that provides customers with a comprehensive set of capabilities to help secure all identities from one centralized location. Working closely with the AWS SaaS Factory team, CyberArk navigated technical and business decisions to build and launch the offering. We recently spoke with Assaf Miron, Sr. Product Manager at CyberArk, to learn more about the platform.

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Monitoring VMware Cloud on AWS Workloads with Amazon OpenSearch Service

VMware Cloud on AWS brings VMware’s SDDC technologies to the AWS global infrastructure. When customers combine Amazon OpenSearch Service with Amazon Kinesis Data Firehose and AWS Lambda, you can create a managed, end-to-end log aggregation and workload monitoring solution for workloads, including those running in VMware Cloud on AWS. In this post, Learn the benefits of this monitoring solution and explore ideas on how to get started utilizing it.

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Building Serverless Event-Driven Applications with MongoDB Realm and Amazon EventBridge

Businesses are faced with ever-increasing complexity of the systems they need to run in order to stay agile and competitive. The complexity can develop over time as new systems are integrated but old ones are not retired sufficiently fast. It can also develop intentionally, such as when a monolith is decomposed into microservices. In this post, learn how to build modern, event-driven serverless applications and how MongoDB Atlas and Realm products complement serverless architectures.

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Where Does a Customer Data Platform Fit in With My AWS Data Lake?

When it comes to evaluating tools and technologies that focus on customer data, it can be difficult to understand how one tool differentiates from the next. Tealium was one of the first entrants in the Customer Data Platform (CDP) category and helped shape the industry. As such, Tealium is uniquely positioned to help organizations make the most of their data and offer more ways to deliver high-quality customer data to AWS in real-time.

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How TensorIoT Helped 3D Systems Power Innovation with an AWS IoT Accelerator

One of the most popular ways to innovate products is through the use of prototypes. Traditionally, prototyping involved labor-intensive processes of creating molds, but the old prototyping requirements can be overcome with the power of modern technology. Learn how 3D Systems worked with TensorIoT and AWS to incorporate machine learning into their system and migrate their backend to an ML-compatible framework.