⭐ AWS partner spotlight: Amplience Amplience is revolutionizing the content supply chain with #AWS services like Amazon Bedrock and Amazon SageMaker. With their new product, the Content Factory, customers can automate their content creation process with full agentic architecture and create a large quantity of content that would normally take weeks, in just minutes. 👂Hear from John Williams, Co-CEO and CTO of Amplience, on why customers need to give their Content Factory a try. Learn more here. 👉 https://go.aws/47yRUrG Amazon Web Services (AWS) #agenticAI

🚀 Big Milestone: Future AGI is now live on AWS Marketplace! We’re excited to share that Future AGI is officially available on AWS Marketplace, making it easier than ever for teams to bring evaluation, guardrails and observability into their GenAI applications. This unlocks a simpler path for enterprises already building on Amazon Web Services (AWS) to: ✅ Experiment faster with multi-agent systems, RAG workflows, etc.  ✅ Catch hallucinations before they hit customers ✅ Monitor model performance in real time with actionable insights ✅ Add guardrails and evaluations at scale with 6× the cost efficiency of alternatives But here's what we are REALLY excited for: we're meeting AI builders exactly where they live and breathe. No more friction, no more "let me check with procurement" just pure, unfiltered innovation at the speed of thought! 💭 🔗 Explore Future AGI on AWS Marketplace: [Link in comments] A huge thank you to our team, our early customers, and the AWS crew for helping make this possible. This is just Day 1. The future we're building together is going to be absolutely incredible! 🌍 👉 If you’re already running GenAI workloads on AWS, what’s the biggest challenge you face scaling them in production?

A small note quietly appeared in the AWS Support pricing docs: “Please note that Bedrock Marketplace and Bedrock serverless purchases are considered Bedrock usage, though you may see a bill through AWS Marketplace. Please see Billing and Support FAQs for additional detail.” It looks small. It isn’t. That line means your GenAI usage on Bedrock Marketplace now counts toward AWS Support fees. Translation: as your AI bills climb, so will the flat monthly support charge on your AWS invoice. This isn’t AWS squeezing revenue—it’s a signal. AI workloads are no longer side projects. They’re cost drivers. And AWS Support, that one big monthly line item, doesn’t get broken out by team. FinOps takeaway: support is no longer “just overhead.” If 40% of your AWS bill is GenAI, then 40% of your support fee is GenAI too. Without proper showback or chargeback, other teams end up subsidizing it. This is exactly why modern reallocation is a must. Finout automates cost attribution at scale—across services, across teams, even support. #finops #finopsforai #finout

👋 What is the Account Display Settings Feature? Amazon Web Services (AWS) has rolled out a new feature that lets you add color to the AWS Management Console header, making it easier to visually identify which account you're currently logged into. This is especially valuable when managing multiple environments—like development, staging, and production—helping prevent accidental operations on the wrong account. Here is how it works! 🎥👇 https://lnkd.in/gP_dKiWm #AWS #CloudComputing #DevOps #AWSFeatures #AccountManagement #AI

Amazon OpenSearch Ingestion now supports cross-account ingestion - Amazon OpenSearch Ingestion now supports cross-account ingestion for push-based sources such as HTTP and OpenTelemetry (OTel). With this launch, customers can easily share OpenSearch Ingestion pipelines across AWS accounts without relying on additional configurations like VPC peering or AWS Transit… https://lnkd.in/erC7H4kE

Keeping docs and code samples up to date is one of the most complex parts of the developer experience. 📚💡 At Google Cloud, we’re now using Gemini to give our teams a real productivity boost – not by replacing expertise, but by supercharging it. Our writers use AI to speed up formatting, translations, and style checks. Even better: automated orchestration scripts run the quickstarts in a live environment, so we know they work. ✅ And for code samples? An agentic system takes care of the full cycle – generating, refining, testing – all grounded in API definitions. The outcome: documentation you can trust, at a scale that just wasn’t possible before. 🌍 https://ow.ly/NurR50WPBzo

Viseven AI-powered content ecosystem enablement in action ↓ The synergy between eWizard, Amazon Web Services (AWS), and our intelligent assistant eVa is a lot more than tech – it's a comprehensive solution tailored for enterprise needs. See the full story in the article by Roman Vasylenko, Dennis Lauth, and Jyothi Jayaraman. How Viseven, as an AWS Partner, is transforming Life Sciences content for the digital age: https://lnkd.in/eRVxn7fv

AWS CEO Matt Garman urged employees to accelerate product rollouts, emphasizing speed and innovation as critical to maintaining cloud leadership via Greg Bensinger on Thomson Reuters https://lnkd.in/dZ4xTwGm #aws #AWSCloud #Leadership #Innovation #CloudComputing #MattGarman #Reuters

My Learning Experience with AWS SNS & SQS Recently, I spent time learning about Amazon SNS (Simple Notification Service) and Amazon SQS (Simple Queue Service), and I want to share my key takeaways A) Amazon SQS (Queue-based Messaging) When I first tried SQS, it felt like a simple yet powerful way to decouple applications. A producer sends a message → SQS stores it safely → one consumer picks it up. What I liked: Messages don’t get lost, and consumers can process them at their own pace. Use case I visualized: Order → Billing → Delivery, each step independent but connected through the queue. B) Amazon SNS (Publish/Subscribe Messaging) Then I explored SNS, and it clicked instantly — it’s like making an announcement . You publish one message → SNS fans it out to multiple subscribers (Email, Lambda, SQS, etc). What I liked: The flexibility to notify many systems at once. Use case I practiced: A new user signup → Notify Email service + Analytics + Logging simultaneously. SQS = Great for point-to-point reliable processing. SNS = Great for broadcasting events to multiple services. The most powerful pattern I learned: SNS + SQS together → reliable, scalable event-driven architecture. -> Learning these services gave me a clearer understanding of how event-driven systems are built in AWS. -> If you’re starting with AWS, I highly recommend practising both — you’ll quickly see how they solve different real-world problems. #AWS #CloudComputing #LearningJourney #SNS #SQS #EventDriven

Reimagining the future of AI-powered experiences. 🌎🔮🤖 https://go.aws/4pKpSQF From enabling personalized, AI-powered shopping to supporting Amazon's #generativeAI assistant Rufus, AWS Trainium is the backbone that makes these experiences possible. It allows businesses to run massive inference workloads across multiple nodes, ensuring they can serve millions of customers seamlessly. #AWS #TrainiumTuesdays