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Autodesk on AWS

Autodesk is on a mission to empower everyone, everywhere to create solutions to challenges big and small. The company produces software for a range of Design and Make industries including architecture, construction, engineering, manufacturing, and media and entertainment. To better support more than 100 million customers worldwide, Autodesk migrated workloads from its on-premises data centers to Amazon Web Services (AWS), taking a hybrid cloud approach. As a result, Autodesk has increased reliability, scalability, and security, while saving up to 90 percent on data processing costs. Freed from manual processes, Autodesk’s data scientists can now focus on further innovation, using big data, machine learning, and serverless solutions on AWS.

  • Machine Learning
  • 2023

    Autodesk Improves Observability and Delivers Personalized User Experiences with AWS

    Yathaarth Bhansali, principal engineer on the data science team at Autodesk, shares how Autodesk built a platform that models and responds to user behavior data in near real-time to improve observability and to deliver a dynamic, personalized experience for its customers with AWS services including Amazon Kinesis and Amazon SageMaker.

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    2022

    Autodesk Rapidly Expands Insights in Software Using Amazon SageMaker and Amazon EMR

    Autodesk utilizes machine learning to deliver personalized tips that improve the user experience of its computer-aided design program AutoCAD. With Amazon SageMaker and Amazon EMR, Autodesk is able to generate more insights and leverage subject matter expert resources more effectively.

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    2020

    AWS Machine Learning Enables Design Optimization for Autodesk Customers

    Autodesk uses machine learning models built on Amazon SageMaker to help designers organize and sort through thousands of generative design options. With Autodesk's generative design process, Edera Safety, a design studio from Austria, build a better and more efficient spine protector.

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    2020

    Autodesk Develops Machine Learning Models on AWS to Route Cases Between Support and Technical Teams

    Autodesk built machine learning skills models using Amazon SageMaker that differed from typical classification models because they are designed to choose the correct team responsible for supporting users. This is in contrast to many models that attempt to predict the topic of a case and then route from that topic.

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    2020

    Machine Learning Helps Autodesk Customers Connect with Experts Faster

    Autodesk chose AWS solutions to build and rapidly deploy a machine learning model for a new iteration of a forum called Community Match. The model matches the expertise of forum members with questions posed on the forum—the idea being to encourage community members who are experts on a particular subject to share their insider knowledge on Autodesk solutions.

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    2019

    Deep Learning Applications Using PyTorch, Featuring Autodesk

    With support for PyTorch in Amazon SageMaker, customers benefit from a flexible deep learning framework combined with a fully managed machine learning solution to transition seamlessly from research prototyping to production deployment. At re:Invent 2019, the PyTorch team announced its latest features and library releases, and Autodesk shared best practices based on its experiences with Natural Language Processing.

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  • Born in the AWS Cloud
  • 2023

    Autodesk Boosts Startup Performance by 50% Using Amazon Elastic Container Service (ECS)

    Learn how Autodesk improved performance of long-running hydraulic modeling simulations using Amazon ECS and AWS Fargate.

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    2023

    Delivering Near-Real-Time Insights Using AWS Lambda with Autodesk

    Discover how Autodesk built Autodesk Forma (formerly Spacemaker), a service that provides conceptual design capabilities, predictive analytics, and automations to help users make informed decisions in the earliest phase of the design and planning process using AWS Lambda.

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    2023

    Innovyze, an Autodesk Company, Reduces Development Time by 60% Using AWS Managed Services and AWS IoT

    Learn how Innovyze, an Autodesk company, reduced development time from years to months and deployment time from months to days using AWS.

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    2019

    Amazon EC2 Spot Instances Help Autodesk Spend Less, Scale More

    Autodesk creates design software that requires significant compute capacity for rendering. For Autodesk, the Rendering-as-a-Service (RaaS) workload was its single largest when measured by total spend. The company now relies on Amazon EC2 Spot Instances for significant cost savings on its RaaS function.

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    2017

    Autodesk Goes Serverless on AWS, Reduces Account-Creation Time by 99%

    Autodesk built a solution using serverless architecture to minimize the time and cost required for infrastructure management. With the solution, Autodesk developers now submit an online form to request a new account, and an API triggers the account-creation process. The solution, which also supports querying accounts by account number, email address, or IP address, took only a month to develop and launch.

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  • Continuous Innovation
  • 2023

    Autodesk Fusion Delivers Generative Design Capabilities Powered by AWS

    Autodesk leveraged scalable compute power to bring its generative design feature in Autodesk Fusion to market, enabling customers to automatically generate hundreds of design options based on specified constraints and accelerate innovation. By combining Amazon Elastic Compute Cloud (Amazon EC2) instances, Amazon Elastic Container Service (Amazon ECS), and AWS Batch, Autodesk built a robust cloud infrastructure capable of high-speed parallel processing to facilitate generative design's intensive computations and dataset analysis.

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    2022

    Taking Risks Without Being Reckless

    In this AWS Conversations With Leaders video, Amy Bunszel, executive VP of architecture, engineering, and construction design solutions at Autodesk, dives into the success of Autodesk and how they take risks without being reckless. This approach created a culture of experimentation within the workplace, propelling them to solve complex problems as they build the right teams to scale at massive proportions.

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  • Business Transformation
  • 2022

    Designing a Cloud-Enabled Workforce

    Watch this conversation with Prakash Kota, CIO at Autodesk, about organizational strategies and best practices to empower people and business to succeed in the digital future.

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    2020

    Advice from Autodesk SVP & CIO on Digital Transformation and Training

    In this AWS Conversations With Leaders video, Amy Bunszel, executive VP of architecture, engineering, and construction design solutions at Autodesk, dives into the success of Autodesk and how they take risks without being reckless. This approach created a culture of experimentation within the workplace, propelling them to solve complex problems as they build the right teams to scale at massive proportions.

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    2018

    AWS Support Helps Autodesk Focus on its Core Business

    AWS Support helps Autodesk focus on its core business instead of spending valuable time worrying about architecting its foundational AWS services. Autodesk thinks of AWS Support as its virtual infrastructure support team as if it was just another department or group within Autodesk because it knows it can contact them with no prior notice and get the level of support it needs.

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    2018

    Autodesk Creates Hundreds of Virtual Desktops in Days Using Amazon WorkSpaces

    Autodesk uses Amazon WorkSpaces instead of renting physical hardware to host its virtual workstations on zero clients, improving setup efficiency and reducing its carbon footprint. Using AWS, Autodesk sets up and deploys 450 workstations at its Autodesk University events, saving nearly a week’s worth of time and thousands of dollars.

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  • Data Solutions
  • 2024

    Autodesk Delivers a World Beyond Files Using Amazon DynamoDB

    Learn how Autodesk helps the AEC industry realize better business outcomes with accessible data using Amazon DynamoDB.

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    2023

    Autodesk Builds Reliable, Cost-Effective Big Data Analytics Using Amazon EMR

    Learn how 3D design, engineering, and entertainment software company Autodesk migrated to Amazon EMR and improved performance and reliability while saving costs.

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    2022

    Creating a Data-Centric Security Platform

    Anmol Misra, senior director of infrastructure security at Autodesk, discusses how Autodesk built a data-centric security platform that collects, centralizes, processes, and responds to configuration changes in near real-time by leveraging AWS services including AWS Lambda and Amazon S3.

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    2020

    Autodesk Reduces Big Data Processing Cost by 90% Using AWS

    The Autodesk Data Platform (ADP) collects and processes product usage data, providing Autodesk’s operating teams with a product analytics platform. By migrating the ADP from a Spark-based processing system to AWS Lambda, Autodesk saves up to 90 percent in data processing costs annually. Today, Autodesk is able to process data in near real-time, providing timely analytics for business users to leverage for product improvements and other business opportunities.

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    2020

    Database Freedom Allowed Autodesk to Modernize Legacy Commercial Databases with Amazon Aurora

    To give its customers the power to work more quickly, effectively, and sustainably throughout project lifecycles, Autodesk needed to reimagine its infrastructure to support this complex, exponentially growing data. Learn about the five step framework that Autodesk used.

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    2019

    Data Preparation on AWS Enables Autodesk Customer Analytics

    Developing a 360-degree view of customer financial metrics can give organizations the ability to make proactive decisions instead of being reactive with account team strategies. However, customer data is usually housed in various sources and requires a lot of effort to join metrics by mapping IDs, account names, and other fields. Autodesk leverages Trifacta on AWS to create a streamlined data pipeline process to automate the delivery of holistic customer analytics.

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  • Architecture
  • 2020

    Autodesk Optimizes Visual Similarity Search Model in Fusion 360 with Amazon SageMaker Debugger

    Autodesk quickly designed, trained, and debugged a machine learning model on visual similarity. Using SageMaker Debugger, Autodesk improved Fusion 360 performance and saved both time and compute costs.

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    2019

    Securing Studio IP in AWS: Cloud-Based VFX Project Management with Autodesk Shotgun

    Autodesk Shotgun simplifies creative project management and unifies visual effects (VFX), animation, and games teams of all sizes. Shotgun is a scalable on-demand platform that can support just a few users to thousands—used by more than 1,000 studios globally to track millions of tasks each day. This walkthrough shows how AWS helps customers build robust SaaS applications that address even the most stringent security needs.

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    2019

    Autodesk Deploys Windows and Linux Workloads Using Amazon ECS

    Autodesk created an end-to-end ecosystem that standardizes the way it built, ran, and deployed software. One Amazon ECS cluster allows Autodesk to run both Linux and Windows workloads.

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  • Migration
  • 2020

    The Architecture Behind Autodesk's Mission-Critical Database Migration from Microsoft SQL Server to Amazon Aurora MySQL

    Autodesk migrated a mission-critical database with minimal downtime. The initiative helped streamline the management and resiliency of the Autodesk SSO service, optimize costs, and reduce overhead for infrastructure maintenance. Learn about the pre-migration architecture, migration strategy, migration steps, and performance comparison.

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    2020

    Autodesk Adopts Amazon S3 to Save 75% on Storage and Modernize Backup and Recovery

    Learn about Autodesk’s journey to the cloud and the Amazon S3 storage classes and features Autodesk uses to save both time and money. This includes a step-by-step overview of Autodesk’s data ingestion pipeline, from the data sources to cloud storage, and an explanation of how Autodesk recovers backup copies of their data.

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    2019

    Migrating Hundreds of TB of Data to Amazon S3 with AWS DataSync

    Enterprises are often faced with challenges in migrating vast amounts of data efficiently and effectively from their on-premises data storage environments to AWS. Autodesk successfully used DataSync to migrate over 700 terabytes (TB) of data from their on-premises Dell EMC Data Domain storage system to Amazon S3.

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    2018

    How Autodesk Increased Database Scalability and Reduced Replication Lag Using Amazon Aurora

    Autodesk migrated to Amazon Aurora from both managed MySQL databases running on Amazon RDS and self-managed MySQL databases hosted on Amazon EC2. Learn about factors that influenced Autodesk’s decision to move to Amazon Aurora, benefits of the migration, and best practices for migration and optimization.

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About Autodesk

Autodesk is a software provider in 3D design for the architecture, engineering, manufacturing, media, and entertainment industries. Over 100 million people worldwide use Autodesk products, which include computer-aided design and building information modeling software.

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