|
AI SREs are here. Here's how to prepare your stack. (Sponsored)
 |
AI SREs are here. If your telemetry, alerts, and access controls aren’t ready, expect missed incidents, alert fatigue, and AI-driven investigations that go nowhere. This Datadog eBook covers how to prepare your stack for the AI SRE future, including a practical self-assessment checklist and real examples from Datadog’s own implementation.
You’ll learn how to:
Assess whether your telemetry coverage gives an AI SRE enough signal to investigate effectively
Design alerts and monitors that an AI agent can act on, not just surface to humans
Set up the access controls and data quality foundations that make AI-driven investigations trustworthy
For 30 years, every online business has been built with a simple assumption that your customers are human. Humans browse the website. Humans enter credit card numbers. Humans click buy.
AI Agents are starting to change this assumption. If ChatGPT is going to be your customer, the internet may need a new protocol.
That’s the question behind Machine Payments Protocol (MPP). To better understand this shift, I attended a MPP event at Stripe HQ, where I spoke with Emily Sands and Matt Schulman from Stripe, along with Brendan Ryan from Tempo.
In this deep dive, we’ll explore:
The problem with today’s payment flow
What is MPP
How MPP works
Two use cases of agentic payment
Your Next Customer Might Be an Agent
The Problem with Today’s Payment Flow
Right from its inception, the internet has run on the basic assumption that it will be used mostly by humans. However, this assumption is no longer valid.
 |
According to a recent report from Cloudflare, automated systems are now generating around 57.5% of HTTP requests to web content. AI tools are evolving from question-and-answer chatbots to autonomous agents that can make comprehensive plans, execute actions based on those plans, and evaluate the outcomes of those actions.
However, the internet’s payment model is still stuck in the human-centric era.
 |
This is where MPP (Machine Payments Protocol) comes into the picture. It is a protocol that removes the friction between the buyer and the seller. This friction exists at the interface, which has been built keeping in mind a user reading a web page to figure things out. MPP creates a similar interface for AI agents so that they can settle payments with a service on the internet, irrespective of the payment method.
In other words, the innovation that MPP brings to the table is not only about making payments. It is more about the disappearance of the human from this process.
[Webinar] How to stop babysitting your agents (Sponsored)
 |
Agents can generate code. Getting it right for your system, team conventions, and past decisions is the hard part. You end up wasting time and tokens in the correction loops.
More MCPs, rules, and bigger context windows give a