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Amazon Web Services (AWS)
IT Services and IT Consulting
Seattle, WA 10,796,280 followers
Official Global LinkedIn page for Amazon Web Services (AWS).
About us
Launched in 2006, Amazon Web Services (AWS) began exposing key infrastructure services to businesses in the form of web services -- now widely known as cloud computing. The ultimate benefit of cloud computing, and AWS, is the ability to leverage a new business model and turn capital infrastructure expenses into variable costs. Businesses no longer need to plan and procure servers and other IT resources weeks or months in advance. Using AWS, businesses can take advantage of Amazon's expertise and economies of scale to access resources when their business needs them, delivering results faster and at a lower cost. Today, Amazon Web Services provides a highly reliable, scalable, low-cost infrastructure platform in the cloud that powers hundreds of thousands of businesses in 190 countries around the world. With data center locations in the U.S., Europe, Singapore, and Japan, customers across all industries are taking advantage of our low cost, elastic, open and flexible, secure platform.
- Website
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http://aws.amazon.com
External link for Amazon Web Services (AWS)
- Industry
- IT Services and IT Consulting
- Company size
- 10,001+ employees
- Headquarters
- Seattle, WA
- Type
- Public Company
- Founded
- 2006
Products
Locations
Employees at Amazon Web Services (AWS)
Updates
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Think modernizing your Microsoft workloads is too complex, too costly, too slow? Think again. Episode 6 of the AWS Migration & Modernization Podcast is live. Sio Irani & Yogi Barett share what it really takes to modernize your Microsoft estate in the cloud: + 35-65% cost savings with Optimizing & Licensing Assessment + 1M lines of .NET code modernized per month (for free) + Generative AI accelerating SQL Server to PostgreSQL migrations Your Microsoft workloads belong in the cloud. 🎧 Tune in to the full episode. https://go.aws/4vvjH4N
Microsoft Workloads with AWS Cloud
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Most startups drown in engineering before they ever reach their customers. Moments Lab didn't. Moments Lab specializes in video understanding, helping customers find the exact moment they need across petabytes of archive footage. When a new customer onboards, that means indexing millions of hours of video in days. All that data needs a home. Amazon S3 Vectors stores those massive vector embeddings at scale-no performance degradation, no matter how much data you throw at it. AWS clears the engineering roadblocks. Moments Lab focuses on the customers. https://go.aws/4dVGhxN
AWS + Moments Lab
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8 startup founders, all building on AWS. They built on AWS Activate Credits, shipped faster with Amazon Bedrock, and scaled through AWS Marketplace. From the first line of code to millions of customers. It's never been easier to get started: https://go.aws/4uj1kPP Featuring: • Matt Garippa | Order.co • George Sivulka | Hebbia • Anshika Srivastava | Apoha • Daniel Hesslow | Adaptive ML • Kushal Byatnal | Extend • Alberto Taiuti | Reactor • Jerry Liu | LlamaIndex • Shane Hegde | Air
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📢 Announcing H0: Hack the Zero Stack, a global virtual hackathon with $160K+ in prizes. Register now. 👉 h01.devpost.com What if you could go from a prompt to a deployed, production-ready full-stack app in minutes? The stack: Vercel or v0 by Vercel for AI-powered frontend generation + #AWS serverless databases (Aurora PostgreSQL, DynamoDB, or Aurora DSQL). Zero infrastructure management. Zero capacity planning. Just your ideas and a prompt. What you're building: A full stack application in one of four challenge tracks: B2C apps, B2B apps, million-scale global apps, or open innovation. What's in it for you: 💰 $160,000 in prizes (cash + AWS Credits) ☁️ $130 in AWS & Vercel credits for participating 🛠️ Production-ready databases from day one, the same infrastructure running at scale for AWS customers worldwide 🗓️ Submit your projects by 5 pm PT on June 29, 2026. Whether you're an AI-native builder, professional developer, or building your side hustle, this is your chance to ship something real on infrastructure that won't break when real users show up. #AWSDatabases #H0Hackathon
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Monaco GP weekend. The most iconic street circuit on the calendar. 🇲🇨 https://go.aws/4ayC8NZ But what actually makes street circuits different from the rest? It comes down to one thing: risk versus reward. Our latest Circuit Classes episode explains how AI tracks car trajectory in real time, measuring just how close drivers dare to get to the wall. Speed or precision: what matters more on a street circuit?
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Is your organization's foundation strong enough for AI?
The infrastructure problem nobody is talking about, and how three companies fixed it: AI demos can look impressive. But when pilots move into production, the real challenge often appears. Legacy systems, fragmented data, latency demands, and deployment cycles that were never designed for enterprise AI. That is why modernization is becoming a board-level priority. I explored how Thomson Reuters, BMW, and Experian approached AI readiness differently by treating migration and modernization as part of the AI strategy, not just as an infrastructure project. Thomson Reuters modernized 1.5 million lines of code per month, accelerated modernization 4x, reduced costs by 30%, and used that foundation to deploy AI agents across 70% of revenue streams. BMW compressed years of mainframe modernization into months and now runs 600+ productive AI use cases daily. Experian saved 300 engineering days across seven projects by automating legacy upgrades, freeing teams to focus on innovation. The implication for leaders is clear: Enterprise AI does not scale on ambition alone. It scales when infrastructure, data, teams, and operating models are ready to support continuous change. Modernization is no longer preparation for transformation. It is transformation. Learn more about AWS Migration & Modernization: https://fandf.co/42HQrLX Sponsored by AWS #AWSpartner Amazon Web Services (AWS) #ArtificialIntelligence #AI #GenerativeAI #CloudComputing #DigitalTransformation #EnterpriseAI
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Jupiter Medical Center cut imaging scheduling wait times from weeks to hours with Amazon Connect Customer. https://go.aws/4e6tmI0 30% cost reduction. 40% less scheduling backlog. Call abandonment cut from 9% to 4%. Now they're expanding across every care setting to build one unified patient experience.
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Every team wants to build bigger and move faster with AI. But at scale, ambition runs into constraints across data, infrastructure, development, operations, and security. Tune in live on June 17 for major launch announcements, demos, and customer stories showing how organizations are building at scale with agentic AI. https://go.aws/4dXWZg5
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Astronomer didn't just adopt AI...they evolved with it. https://go.aws/4amPFIk In this episode of the AWS for Software Companies Podcast, Steven Hillion shares how Astronomer: → Built on Apache Airflow to orchestrate ML & data engineering pipelines for companies like Uber & Lyft → Used AWS Marketplace to accelerate customer acquisition & simplify procurement → Evolved their platform to support the shift from gen AI experimentation to production-ready agentic workflows
Astronomer's Approach to AI on AWS