Canva on AWS
Canva runs its global design platform—used by 260 million monthly active creators and 95 percent of the Fortune 500—on AWS. It scales worldwide, giving users a next-generation visual design experience built on cutting-edge machine learning and AI technology.
How Canva’s AI-driven tools built on AWS bring visual design to life
Canva is putting the “superpower” of generative AI into the hands of a new generation of creators. Tools like Canva AI, Magic Studio, and Canva Code, which are built using AWS, enhance the creative process and help users produce high-quality content faster. Canva empowers its people to see AI as a creative ally. Hear from Canva’s technology and design leaders as they talk about their vision for making creativity universal by cutting complexity and removing coding barriers, enabling anyone to design websites or build apps. All you need is an idea!
The beauty of AWS is that it works the same way with 100,000 users as it does with 100 million users.
Jim Tyrrell
Head of Infrastructure, CanvaRay White streamlines brand consistency with Canva Enterprise on AWS
Ray White's adoption of Canva Enterprise, powered by AWS, has not only streamlined their marketing operations but also showcased the power of generative AI in enhancing productivity and efficiency. By leveraging AWS's cutting-edge technologies, such as Amazon Elastic Container Service (ECS) and G5 instances, Canva Enterprise can harness the capabilities of GPU-accelerated image processing, enabling Ray White's teams to create high-quality, on-brand marketing materials with ease.
Canva helps the world design the future with data-driven insights using AWS
In this video, Fawaz Ahmed, Canva’s director of engineering, talks about how data drives the business. Each week, the design platform handles around 100 billion events and 400 TB of data. Canva uses Amazon Web Services (AWS) solutions to help it manage and scale its data infrastructure. Specifically, Amazon Kinesis allows it to process and analyze streaming data, giving even non-data specialists—such as its product managers—the insight they need to deliver value to customers.
We need to be laser focused on our customers, who are leaning into the magic opportunities that machine learning and artificial intelligence give us. Amazon Kinesis helps us focus on our customers—and focus on the opportunities for our business.
Fawaz Ahmed
Director of Engineering, CanvaDesign without limits: Canva’s generative AI journey
Canva built generative AI tools on Amazon Bedrock to help users go from blank page to design faster—generating text, images, and recommendations with features like Magic Write and chat assistants. The team shares lessons in model selection, trust, and responsible AI at scale.
AWS re:Invent | Customer keynote Canva
Canva, an online visual communication and collaboration platform shares its engineering principles and lessons learned as it scaled from startup to more than 220 million monthly users worldwide. Canva will share its architectural evolution, starting with a monolith on Amazon EC2 and progressively transitioning to a microservices architecture utilizing various AWS services, as well as its focus on allowing anyone to build functionality on top of the Canva platform.
How Canva saves over $3 million a year in Amazon Simple Storage Service (Amazon S3) costs
With more than 100 million monthly active users who have created billions of designs, Canva handles massive amounts of data. In fact, it stores more than 230 petabytes of data in Amazon S3. Being able to use different storage classes designed for varying access patterns and workloads is critical for the company to operate cost-effectively at scale. By migrating around 130 petabytes of infrequently accessed user data to Amazon S3 Glacier Instant Retrieval, Canva is saving more than $3 million a year.
Being on AWS gives us credibility in the enterprise space by enabling us to check every box and answer our users’ security questions confidently.
John Eitel
Global Vice President of Sales and Success, CanvaDid you find what you were looking for today?
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