AWS Partner Network (APN) Blog

Tag: Amazon Kinesis Data Firehose

HCL-AWS-Partners

How HCL 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 HCL Technologies used the AWS Centralized Log Management Reference Architecture, and discusses how HCL removed the requirements for Amazon Kinesis Data Streams. We also explore how HCL 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 (successor to Amazon Elasticsearch 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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Tealium-AWS-Partners

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.

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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.

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How Pr3vent Uses Machine Learning on AWS to Combat Preventable Vision Loss in Infants

Scaling doctors’ expertise through artificial intelligence (AI) and machine learning (ML) provides an affordable and accurate solution, giving millions of infants equal access to eye screening. Learn how Pr3vent, a medical AI company founded by ophthalmologists, teamed up with AWS Machine Learning Competency Partner Provectus to develop an advanced disease screening solution powered by deep learning that detects pathology and signs of possible abnormalities in the retinas of newborns.

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How TensorIoT Reduced Delays and the Initial Cost of Deploying Smart City IoT Solutions

Itron Idea Labs has been leveraging IoT devices for decades and using technology in innovative ways, but they faced two major problems in developing solutions for public sector organizations: project delays, and large up-front costs. To overcome these challenges, Itron teamed up with TensorIoT and created a new route to integration in the form of the Itron Manhattan SDK, which gives IoT device manufacturers the ability to integrate their devices into the Itron Idea Labs Cloud and AWS.

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Thundra-AWS-Partners

How Thundra Decreased Data Processing Pipeline Delay By 3x on Average and 6x on P99

It can be complicated to maintain a robust, scalable, and reliable monitoring system that inputs terabytes of data under heavy traffic. Learn how Thundra has delivered 99.9 percent availability to customers since incorporating AWS services into its product. Thundra’s platform can handle scalability and availability challenges, recover both from partial failures and major outages, and support point-in-time recovery in case of disaster.

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