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AWS Solutions Library

Guidance for Downstream Logistics Optimization on AWS

Overview

This Guidance helps oil and gas facility operators deploy AWS services and Independent Software Vendor (ISV) Partner applications to optimize asset tracking, fleet management, driving directions, and other location-centric business processes. You can increase efficiency and mitigate supply chain risks of feed, products, and intermediates through waterborne cargoes, pipelines, railcars, and trucks. This Guidance aims to improve logistics operational agility, lower operating expenses, and reduce field risk. 

How it works

This architecture diagram uses an industrial data lake and location-based data to increase asset utilization.

Download the architecture diagram

Well-Architected Pillars

The architecture diagram above is an example of a Solution created with Well-Architected best practices in mind. To be fully Well-Architected, you should follow as many Well-Architected best practices as possible.

Lambda application code emits information about logic and outcomes directly into Amazon CloudWatch. Logs and insights from CloudWatch use the instrumented logic to create operational dashboards for monitoring and alerts.

Read the Operational Excellence whitepaper

All services in this Guidance, including Amazon S3, Timestream, and Amazon Aurora, have server-side encryption using encryption keys stored in AWS Key Management Service (AWS KMS).

Read the Security whitepaper

This Guidance is event-driven, providing a modular, microservices approach for AWS services, including Amazon Location. Data processing pathways are loosely coupled, and you can remove these pathways or replace them with ISV AWS Partner software with minimal impact on the overall architecture.

Read the Reliability whitepaper

Amazon Location provides fleet tracking, optimized routing, and geofencing capabilities that are crucial for logistics-dependent business processes. If asset locations are better aligned with AWS IoT Core, you can instead send the data as MQTT messages, providing different configurations to match business and technical requirements.

Read the Performance Efficiency whitepaper

Lambda participates in Compute Savings Plans, which allows 1- or 3-year terms of discounted rates for the amount of Lambda usage.

Read the Cost Optimization whitepaper

Amazon S3 Lifecycle configuration supports transfers of data objects to a more sustainable storage class tier based on pre-defined rules.

Read the Sustainability whitepaper

Disclaimer

The sample code; software libraries; command line tools; proofs of concept; templates; or other related technology (including any of the foregoing that are provided by our personnel) is provided to you as AWS Content under the AWS Customer Agreement, or the relevant written agreement between you and AWS (whichever applies). You should not use this AWS Content in your production accounts, or on production or other critical data. You are responsible for testing, securing, and optimizing the AWS Content, such as sample code, as appropriate for production grade use based on your specific quality control practices and standards. Deploying AWS Content may incur AWS charges for creating or using AWS chargeable resources, such as running Amazon EC2 instances or using Amazon S3 storage.

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