The cloud world moves fast, and if you’ve been selling software for a while, you know that staying ahead of customer demands is crucial. AWS Marketplace has become a key player in helping vendors get their products in front of the right people. Since its launch, AWS Marketplace has grown into a global service, sporting the following statistics:

• Over 300,000 active customers
• 4,000 vendors
• More than 15,000 listings.

From basic AMI listings to sophisticated SaaS solutions, containers, and machine learning models, it’s come a long way, and it’s not slowing down any time soon.

So, where did it all begin, and how did we get here? Let’s take a quick trip down memory lane, and I’ll give you a sneak peek into what’s coming next. Spoiler: 2025 is shaping up to be a game-changer, but you’ll have to stick around for future posts to get all the details.

Generative AI experts discuss current state and future

As developers, we’ve all encountered it: the dreaded task of writing documentation. Whether it’s explaining your own code or trying to understand someone else’s, a lack of clear documentation can be a major headache. Often, we spend hours deciphering code when we could be writing new features or fixing bugs.

Mike Chambers discusses generative AI and how it can be used to create agentic workflows that reach out into the real world to retrieve live data and perform actions. Examples of using AI to automate documentation generation and image classification are shown.

Are you ready to dive into the world of serverless databases? Join us for a brand new episode of The Sounding Board, “AWS Serverless Databases”!

Tune in as we kick off our journey into the realm of serverless technology with a special guest, Community Expert Bojan Zivic

Follow us now to be the first to know when the next episode of “The Sounding Board” goes live! Let’s embark on this serverless journey together.

In today’s tech-driven world, integrating Artificial Intelligence (AI) is a game-changer for businesses aiming to boost efficiency, streamline operations, and uncover new opportunities. But for those just dipping their toes into the AI waters – whether they’re newbie engineers, CEOs, or startup founders – there’s a common dilemma: “What kind of AI fits my needs?” By the end of this I hope to unravel the AI maze, with a special focus on AWS services, offering insights to help you pick the perfect tools tailored to your goals.

Learn how to build serverless applications with AWS Lambda and API Gateway. Step-by-step examples demonstrate creating serverless functions with Lambda and connecting them to APIs using SAM, the AWS Serverless Application Model CLI. Serverless concepts like triggers and events are also explained.

Create a simple website, build a Docker container, deploy to ECS Fargate as a serverless container architecture. Learn container basics, ECS clusters, task definitions and services.

If you’re like me you like to be across all the news, all the time.

There are a few key sources that I use to keep myself updated including:

• What’s New at AWS – Cloud Innovation & News
• Community.aws
• AWS News Blog

Each one of these sources has a slightly differing type of content but each is just as important as the other.

If you’re into your Machine Learning/Artificial Intelligence/Generative AI and have been living under a rock, it may be news to you that Anthropic have now released their latest version of the Claude Large Language Model (LLM), which they have predictively named, Claude 3. But what’s not so predictable is that not only is this the third generation of Claude, but there are also three different variations of Claude.

In this post, we’re going to explore the creation of a basic, serverless, image cataloguing application using Claude 3 and explore how it enhances the functionality of our AI photo album application. Powered by Amazon Bedrock, this application leverages the poetic prowess of Claude 3 Haiku to provide insightful summaries of uploaded images.