emphasize SES for email at massive bursts and appreciate that “boring just works.” Others note strong security and GPU options for ML, while one user wants faster UX improvements to reduce reliance on CLI/CDK and make configuration simpler.

+216

Summarized with AI

Pros

reliable cloud services (35)

scalable infrastructure (33)

extensive service offerings (7)

AWS Lambda (5)

AWS EC2 (2)

Pros

Cons

Reviews

All Reviews

Most Informative

used

AWS

to build Amploo

•9 reviews

The service is built for scalability, effectively managing numerous simultaneous connections and messages without the need for manual infrastructure oversight. It offers high reliability, ensuring real-time message delivery. Security is robust, featuring SSL/TLS for data protection, and options for private channels and authentication to manage access.

What's great

scalable infrastructure (33)reliable cloud services (35)AWS IAM (1)

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2 views1yr ago

used

AWS

to build Naoma AI Demo Agent

•9 reviews

Powers our backend and infrastructure so we can run reliable, low-latency live demos at scale.

Alternatives Considered

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10d ago

used

AWS

to build Miro 2.0 The Innovation Workspace

•3 reviews

We are thrilled to partner with AWS to streamline cloud architecture design. With the new AWS Cloud View integration and the AWS Cost Calculator app directly in Miro, teams can effortlessly visualize, collaborate, and estimate service costs in one place. This partnership makes cloud optimization more intuitive and efficient than ever.

What's great

AWS Cost Calculator (1)AWS Cloud View (1)

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1yr ago

used

AWS

to build Gro

•5 reviews

We chose AWS Cloud for thegro.ai because reliability and scale aren’t optional when you’re building an AI Sales Co-Pilot. From day one, we needed infrastructure that could handle high-volume outbound workflows, real-time data enrichment, and secure CRM integrations without compromise. AWS gives us the flexibility to scale fast, maintain strong security standards, and deploy globally as we expand across markets.

Alternatives Considered

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1 view1mo ago

used

AWS

to build simply

•4 reviews

Our server who comes at a decent cost

Alternatives Considered

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1 view7d ago

used

AWS

to build Corgi AI

•2 reviews

Shoutout to AWS — our infrastructure backbone. Corgi runs on AWS because of its reliability, global reach, and robust security controls. The platform lets our small team move fast while keeping user data safe and scalable. Grateful for the tools and services that help us turn bookmarks into actionable intelligence.

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1 view6mo ago

Atlas Icons

•3 reviews

I have been a software engineer for nearly 30 years. I started developing on AWS Cloud in 2020. The impact of the cloud on software engineering, especially for enterprises is hard to over-state. It's also just fun. Not only do I develop on AWS at my day job but also on all of my personal projects (including Vectopus.com).

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1 view1yr ago

used

AWS

to build Origin AI + templates

•3 reviews

It's not perfect, but then what is? What it does give is the ability to create crazy amounts of different infrastructure using a serverless model using infrastructure as code - which is like manna from heaven for tools like Origin.

What's great

scalable infrastructure (33)AWS Lambda (5)

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9mo ago

used

AWS

to build Roadloom

•10 reviews

AWS is unmatched in its breadth of services and global reach. It’s the backbone of so many modern applications, offering everything from computing to storage at scale. The ecosystem is vast, and its reliability and community support make it a go-to for developers and enterprises alike.

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1yr ago

used

AWS

to build TestSprite 2.0

•9 reviews

Big thanks to AWS — the reliable backbone powering TestSprite’s infrastructure. From Lambda to Amplify, AWS makes it easy for us to scale, run tests at speed, and deliver a seamless experience to every dev team using TestSprite.

What's great

scalable infrastructure (33)reliable cloud services (35)AWS Lambda (5)

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1 view8mo ago

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