AWS Partner Network (APN) Blog

Tag: APN Partner Guest Post

Optimizing Amazon EC2 Spot Instance Usage with Qubole Data Platform

Amazon EC2 Spot Instances let you reduce costs by taking advantage of unused capacity. You can further reduce costs by using the policy-based automation in Qubole Data Platform to balance performance, cost, and SLA requirements anytime you use Spot Instances. Learn how the Qubole Data Platform optimizes your Spot usage, and how it applies policy-based automation to balance your performance, cost, and SLAs whenever you use Amazon EC2 Spot Instances.

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How Slalom Uses AWS DeepRacer to Upskill its Workforce in Reinforcement Learning

AWS DeepRacer allows developers of all skill levels to get started with reinforcement learning, which is an advanced machine learning technique that learns very complex behaviors without requiring any labeled training data, and can make short-term decisions while optimizing for a longer term goal. Learn how Slalom created AWS DeepRacer experiences for its own workforce. The cars and tracks now regularly appear in at Slalom locations across the world as valuable internal learning events.

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How Gremlin’s Chaos Engineering Platform Validates AWS Operational Excellence and Reliability

Chaos engineering is the discipline of experimenting on a software system or service to build confidence in its capability to withstand turbulent and unexpected conditions. Its goal is to reveal weaknesses before they break. The AWS Well-Architected Review and chaos engineering go hand-in-hand, and Gremlin’s chaos engineering platform validates your service’s compliance with two pillars of the Well-Architected Framework: operational excellence and reliability.

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MachineMetrics Offers Free Remote Monitoring Solutions to Manufacturers Impacted by COVID-19

MachineMetrics, an AWS Industrial Software Competency Partner, is committed to supporting front-line workers on the manufacturing floor and in the medical field. By enabling mobile workers, industrial companies are better able to ensure the safety of their employees while continuing to serve their own customers. MachineMetrics is offering free access to its Industrial IoT platform to any manufacturer involved with the production of ventilator parts, test equipment, protective equipment, or COVID-19 treatment-related manufacturing.

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Accelerate Workload Migrations with modelizeIT’s Application Architecture Discovery Technology

A critical first step to successfully migrate workloads from data centers to AWS is to analyze the IT assets in your data center using a comprehensive discovery process, followed by a total cost of ownership analysis to produce a directional business case for migration. Learn about the key characteristics of technologies needed to effectively serve the discovery purpose, such as modelizeIT, an advanced discovery and application architecture mapping tool that helps customers maximize discovery automation and accuracy.

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Using a Telefonica Data Bridge to Connect Narrow Band IoT Devices to AWS IoT Core

AWS IoT Core supports billions of devices and trillions of messages, and can process and route those messages to AWS endpoints and other devices reliably and securely. AWS IoT Core requires X.509 certificates for authentication, but the X.509 standard consumes battery power, negating LPWAN’s advantage in that area. Telefonica developed a data bridge to enable IoT devices to connect securely to AWS IoT Core, while preserving the long range, low cost, and low power advantages of LPWAN connections.

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Analyze Streaming Data from Amazon Managed Streaming for Apache Kafka Using Snowflake 

When streaming data comes in from a variety of sources, organizations should have the capability to ingest this data quickly and join it with other relevant business data to derive insights and provide positive experiences to customers. Learn how you can build and run a fully managed Apache Kafka-compatible Amazon MSK to ingest streaming data, and explore how to use a Kafka connect application to persist this data to Snowflake. This enables businesses to derive near real-time insights into end users’ experiences and feedback.

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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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How CloudHedge Transforms Legacy Web Applications on Windows to Containerized Cloud-Native on AWS

Many vendors, services, and resources are available to migrate one or two applications at a time, but most struggle to migrate a large number of applications with the same skill level and outcomes. A tool that provided effective application discovery and containerization for a large number of apps was missing. CloudHedge’s automated discovery, containerization, and deployment tools can reduce the time and effort required to transform large numbers of monolithic, on-premises Windows applications to cloud-native services running on AWS.

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How to Orchestrate a Data Pipeline on AWS with Control-M from BMC Software

In spite of the rich set of machine learning tools AWS provides, coordinating and monitoring workflows across an ML pipeline remains a complex task. Control-M by BMC Software that simplifies complex application, data, and file transfer workflows, whether on-premises, on the AWS Cloud, or across a hybrid cloud model. Walk through the architecture of a predictive maintenance system we developed to simplify the complex orchestration steps in a machine learning pipeline used to reduce downtime and costs for a trucking company.

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