Kubernetes has transformed cloud infrastructure by enabling scalable, containerized applications. While it initially gained traction for managing web applications and microservices, its capabilities now extend to AI/ML workloads, making it the go-to platform for data scientists and machine learning engineers.

Running AI/ML workloads on Kubernetes presents unique challenges, including:

• Specialized hardware requirements (e.g., GPUs, TPUs)
• Scalability for model training and inference
• Complex data pipelines that integrate various cloud services
• Infrastructure automation for seamless deployment

Google Cloud Kubernetes (GKE) provides a robust foundation for AI/ML workloads, but managing infrastructure manually can be cumbersome. This is where Pulumi comes in—enabling Infrastructure as Code (IaC) to automate and simplify AI/ML infrastructure on Kubernetes.

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Pulumi Cloud empowers engineers to automate, secure, and manage modern infrastructure platforms.

Many companies are building internal developer platforms or modern infrastructure platforms to provide developer self-service while maintaining security and compliance. Companies adopt Pulumi IaC so they can apply software engineering practices to their infrastructure scaling problems and because it is fully open source with a strong community and public roadmap.

At Pulumi, we’re committed to open source—always have been; always will be. Pulumi IaC is entirely open source (Apache 2.0 license), meaning you can adopt and extend it however you like. If you’re new to Pulumi, the open source edition is an excellent way to start modernizing your infrastructure. But as your organization grows and the complexity of your environment increases, you may find yourself devoting significant time to rolling your own enterprise IaC backend features.

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Pulumi is excited to announce the addition of 27 new providers to the Pulumi Registry, significantly expanding our ecosystem and empowering developers with more choices for infrastructure as code. This expansion includes providers like Temporal, Vantage, and Honeycomb, among many others, making it even easier to manage diverse cloud and SaaS services with Pulumi.

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Managing secrets is one of the most critical responsibilities in cloud engineering. Secrets like API keys, database credentials, and encryption tokens are the backbone of secure and seamless cloud operations. Yet they are so often an afterthought. They get replicated across cloud-specific secrets managers and stuffed in GitHub secrets, compromising security for the sake of simplicity. ¿Por que no los dos? Why can’t secrets management be secure and simple?

Enter Pulumi ESC (Environments, Secrets, and Configuration)—a breakthrough in taming secrets sprawl and streamlining configuration management across infrastructure. Let’s explore why Pulumi ESC is a necessity for cloud engineers, helping make secrets management secure while keeping it simple.

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Pulumi’s integration with GitLab has reached new heights with enhancements designed to streamline your infrastructure as code workflows. Today, we’re excited to announce several significant improvements to our GitLab integration that make managing cloud infrastructure with Pulumi and GitLab more seamless than ever before: GitLab as a first-class VCS in Pulumi Cloud, enhanced merge request comments, organizational templates in GitLab, and later this year, Pulumi Deployments for GitLab.

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Pulumi now handles secrets more efficiently through optimized encryption and decryption processes, reducing deployment times while maintaining security standards. Users of Pulumi Cloud for state management will notice the most improvement due to new batch API capabilities.

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In the last article in this Platform Engineering Pillars series, we explored how self-service infrastructure sets developers free from bottlenecks and dependency gates. By providing reusable infrastructure modules and intent-based configurations, platform teams dramatically reduce infrastructure friction. This sefl-service then powers faster deployments, increased autonomy, and fewer delays.

But infrastructure provisioning alone doesn’t ensure happy, productive developers. Even with efficient, streamlined infrastructure interactions, developers still battle daily hurdles: from inconsistent local dev setups and sluggish CI/CD pipelines to poor documentation and fragmented knowledge. These obstacles quietly chip away at momentum, reduce feature velocity, and increase operational overhead.

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Previous articles in this series explored platform engineering principles and how Infrastructure as Code creates a solid foundation. But there’s still an important challenge to address: the infrastructure provisioning process itself. Without proper modularity and a clear separation between intent and infrastructure details, things get messy—leading to friction, delays, and unnecessary complexity.

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We’re excited to share our latest addition to the Pulumi Ecosystem: the Pulumi ESC GitHub Action. This Action lets you inject secrets and configuration securely into your GitHub Actions workflows as they are needed, rather than storing them as static, long-lived secrets.

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Big news for infrastructure teams looking to migrate – we’ve just supercharged Pulumi’s Terraform conversion capabilities, making it easier than ever to modernize your infrastructure as code.

Pulumi already lets you use any Terraform/OpenTofu provider in your existing projects, and now we’ve taken it to the next level. With Pulumi CLI version 3.153.0 and above, you can now automatically convert ANY Terraform project to Pulumi and import its resources - even if it uses providers that don’t have native Pulumi equivalents!

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