Autodesk on AWS
A leader in 3D design, engineering, and entertainment software, Autodesk has been producing such software for the architecture, construction, engineering, manufacturing, and media and entertainment industries since 1982. To speed and streamline development, Autodesk has been steadily expanding its use of AWS and decreasing its data-center footprint.
When Autodesk launched in 1982, its desktop software helped transform the architecture, construction, engineering, manufacturing, and media and entertainment industries. The company has continued to innovate in the decades since, now offering subscription software services to more than 100 million customers worldwide. To meet this exponential growth in customers and data, Autodesk migrated workloads from its on-premises data centers to Amazon Web Services (AWS) in 2012, taking a hybrid cloud approach. As a result, Autodesk has increased efficiency, scalability, and flexibility and enhanced reliability, security, and analytics capabilities—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.
Cloud Services Help Autodesk Deliver Solutions to Customers
Scott Reese, Autodesk SVP, talks about about Autodesk’s high growth business areas and his customer-centric approach. Autodesk's high growth areas rely on cloud services to deliver solutions for some of the world’s most important challenges.
Construction companies are trying to manufacture large parts of a building offsite, so they want the predictability and the quality that manufacturing companies have had for decades. And manufacturing companies are trying to become more flexible and agile, as construction companies have been for decades. But to practically converge and automate workflows and data, you must be in the cloud."
SVP Manufacturing, Cloud, & Production Products, Autodesk
Infographic: Autodesk Increases Efficiency, Reduces Costs through Large-Scale Migration and Modernization on AWS
Advice from Autodesk SVP & CIO on Digital Transformation and Training
Prakash Kota, Autodesk SVP & CIO, speaks about getting staff and leadership onboard with the company-wide enterprise workloads migration to the AWS Cloud and discusses how to motivate staff through AWS Training and Certification. A key learning from Autodesk's transformation has been to start small and expand fast by investing in your people to build a culture of continuous learning.
We had this vision of moving all our enterprise applications and the back-office systems to the AWS Cloud, and it was a rocket launch. We had two months to engage staff in the migration."
SVP & CIO, Autodesk
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.
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.
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.
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.
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. And whereas previously customers sought Autodesk support only to troubleshoot problems, now they take advantage of the knowledge within the shared community to use Autodesk software more effectively.
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. This data can be presented in conflicting formats, and the number of records can exceed what common data tools can handle. Autodesk leverages Trifacta on AWS to create a streamlined data pipeline process to automate the delivery of holistic customer analytics.
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.
Autodesk Goes Serverless on AWS, Reduces Account-Creation Time by 99%
Although Autodesk benefited from its embrace of AWS, setting up new AWS accounts posed a challenge for the company’s two-person AWS Operations Team. Manual processes for account setup resulted in 2-week turnarounds on new-account requests and risked human error. 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.
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.
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.
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.
Securing Studio IP in AWS: Cloud-based VFX Project Management with Autodesk Shotgun
Learn about the architecture of Autodesk Shotgun Private Cloud, a cloud-based VFX Project Management application running on AWS. 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.
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. This migration helped streamline the management and resiliency of the Autodesk SSO service, optimize costs, and reduce overhead for infrastructure maintenance. This blog details the pre-migration architecture, migration strategy, migration steps, and performance comparison.
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.