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AI as Your New SRE: The Next Frontier of DevOps
In the early days of DevOps, automation was the revolution. Today, AI is bringing the second wave – not just automating tasks, but reasoning, predicting, and autonomously managing complex systems like a tireless Site Reliability Engineer.
In this talk, we’ll explore how AI will reshape the DevOps lifecycle: from intelligent CI/CD pipelines and automated incident response to self‑healing infrastructure and generative configuration management.
You’ll see live demos of AI detecting, diagnosing, and fixing infrastructure issues in real time, and we’ll discuss the risks – over‑reliance on AI, governance challenges, and the need for explainability – plus the steps teams can take today to prepare for an AI‑augmented future.
Jon Topper
FounderThe Scale FactoryEvent Date: 14/01/2026Topics: EC2, GuardDuty, Integrations, S3, Security, ServerlessAWS re:Invent 2025 Recap & Discussion.
re:Invent is always packed with announcements, deep dives, and more sessions than any one person can keep up with. This event is your chance to cut through the noise and get a recap from our very own community organiser – Jon Topper.
What to expect
- The announcements and topics he found most interesting
- The things that didn’t live up to the hype
- Real-world thoughts on what’s useful now vs. “maybe later”
- How some of the new services/features might affect the way we build on AWS
How to Put Amazon Q or Any Agentic Coding on Steroids with MCPs
Amazon Q is powerful out of the box, but in the terminal it becomes a superpower. In this talk, I share how I turned Amazon Q CLI into a fully-fledged, verification‑first AI platform using the Model Context Protocol (MCP) all without adding $0 extra cost.
I’ll walk through how I built 49 MCP servers to remove hallucinations, browser automation with Playwright, and live AWS verification that eliminates hallucinations in practice.
You’ll see Financial Services Institution grade guardrails (production protection, cost controls, and full audit trails) that makes Q feel native to a builder’s workflow, secure and reliable. You’ll leave with a blueprint to extend Amazon Q/ any agentic coding beyond chat into a trusted, terminal‑first, agentic platform you own and can evolve infinitely.
I’ll walk through how I built 49 MCP servers to remove hallucinations, browser automation with Playwright, and live AWS verification that eliminates hallucinations in practice.
You’ll see Financial Services Institution grade guardrails (production protection, cost controls, and full audit trails) that makes Q feel native to a builder’s workflow, secure and reliable. You’ll leave with a blueprint to extend Amazon Q/ any agentic coding beyond chat into a trusted, terminal‑first, agentic platform you own and can evolve infinitely.
Using AI to Help Process Documents in Insurance
The insurance industry has billions of historical documents; with hundreds of thousands more being generated every day. The documents, in varying formats are used both internally and with other insurers to agree terms, assess risk and create accurate quotes. Historically each document can take a few hours or even days to manually process and needs to be loaded into each company’s systems.
AI is helping several companies to reduce this processing time to minutes by automating the process using Intelligent Document Processing (IDP), saving time, increasing the accuracy, and readying the data for further analysis – giving valuable insights back to the business. IDP uses the latest AI services; Amazon’s Bedrock, Textract to extract text, Amazon Comprehend to classify and detect entries in the documents and custom models with labelled grown truth in SageMaker. This architecture will look at these services alongside the pre-processing, processing, and post processing challenges and showcase how to jointly leverage these services for the best success.
Using IDP, one customer achieved an accuracy of 90%+ and a more than 500x reduction in processing time across over £500 million worth of business
AI is helping several companies to reduce this processing time to minutes by automating the process using Intelligent Document Processing (IDP), saving time, increasing the accuracy, and readying the data for further analysis – giving valuable insights back to the business. IDP uses the latest AI services; Amazon’s Bedrock, Textract to extract text, Amazon Comprehend to classify and detect entries in the documents and custom models with labelled grown truth in SageMaker. This architecture will look at these services alongside the pre-processing, processing, and post processing challenges and showcase how to jointly leverage these services for the best success.
Using IDP, one customer achieved an accuracy of 90%+ and a more than 500x reduction in processing time across over £500 million worth of business
A Hitchhiker’s Guide to Nitro
A large range of EC2 instance families and AWS services make use of AWS’ custom-built hypervisor, AWS Nitro. Learn what it is, how we ended up there and what advantages it has for your workloads in this whistle stop tour, featuring special guests, such as dom0
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