Posts Tagged aws

Every developer building AI agents knows the gap between a working prototype and production deployment. Your fraud detection agent works perfectly on your laptop, but how do you deploy it with proper authentication, memory persistence, observability, and guardrails? This post walks through a complete journey from local development to production-ready AI agents using Amazon Bedrock AgentCore, the Strands SDK, and Pulumi.

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The IDE is dying, and so is tool calling. OpenAI is not going to win. And next year, you’re going to be shipping code that you’ve never reviewed before, even as an experienced engineer.

These are bold claims, but the way we use AI in 2026 for coding and agents is going to look completely different. In this post, I want to cover my predictions and why they matter right now for DevOps engineers. Some of these are definitely hot takes, but that’s what makes this conversation worth having.

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AWS re:Invent 2025 delivered a myriad of announcements across AI, silicon, and cloud infrastructure. AWS unveiled the expanded Nova model family, introduced Nova Forge for custom model training, launched Trainium3 UltraServers, and added major production features to AgentCore. It was a lot, and taken at face value, it looks like another scattershot year of big releases.

But if you look past the firehose, a pattern emerges. These announcements fit together into a single bet about how enterprise AI will be built.

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One of Pulumi’s foundational benefits is that it allows you to manage your infrastructure as software with rich programming languages, robust testing, and CI/CD patterns that you’d use with your application code. This post will cover applying another classic software development technique to your infrastructure: feature flagging. You can use feature flags to control change rollout, reduce the risk of new releases, and speed up the development of your infrastructure, the same way you do with your applications.

The examples in this post range from simply creating a flag and using it in a Lambda function to fully integrating with LaunchDarkly to build a comprehensive flagging system for your infrastructure.

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Tags are the foundation of cloud governance, enabling cost allocation, ownership tracking, compliance reporting, and automation across your AWS infrastructure. Yet missing or inconsistent tags remain one of the most common governance challenges. Manual tag enforcement is error-prone, and discovering missing tags after deployment means your cost reports and compliance audits are already operating with incomplete data.

Today, we’re excited to announce a new pre-built policy pack created in partnership with AWS: AWS Organizations Tag Policies. This pack validates your infrastructure as code against tag policies configured in AWS Organizations, blocking deployments when required tags are missing and shifting tag governance left into your development workflow. Define your tag requirements once in AWS Organizations and enforce them consistently across all your Pulumi deployments.

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Since launching Pulumi Neo two weeks ago, we’ve seen platform teams discover creative ways to put their newest AI teammate to work. We have also been using Neo internally for a handful of use cases. Neo shifts the conversation from “what could AI do for infrastructure?” to “what can I actually accomplish with Neo today?”

The answer is quite a bit. Here are 10 concrete workflows that platform teams can use Neo for right now, each one designed to save hours of manual work while keeping humans in the driver seat.

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Architecture diagrams are one of the most tedious aspects of infrastructure management. Teams spend countless hours manually creating and updating visual representations of their systems, only to see them become outdated the moment infrastructure changes.

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Pulumi AWS provider 7.0 is here with powerful new capabilities that simplify and scale infrastructure as code on AWS. As the most widely used provider in the Pulumi ecosystem, it offers access to the full surface area of the upstream Terraform AWS Provider in Pulumi projects in all supported languages, like TypeScript, Python, Go, C#, Java, and YAML.

The 7.0 release brings fixes and improvements to the provider, including several breaking changes as part of the major version release.

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Infrastructure as Code (IaC) has evolved beyond simple automation into a fundamental shift toward applying software engineering practices to infrastructure management. In 2025, leading organizations aren’t just provisioning infrastructure—they’re treating it as software, complete with testing, version control, code reviews, and continuous integration.

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AWS RDS supports blue/green deployments to support database maintenance. In a blue/green deployment, you have one production (blue) and one staging (green) database. You can safely make changes to the green instance without affecting production and promote it to be the main instance. When you enable blue/green updates, Pulumi will temporarily set up a blue/green deployment for the duration of the update to minimize downtime.

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