Posts Tagged platform-engineering

Pulumi for Platform Teams: New Features for Developer Portals, Policy and Deployments

Pulumi for Platform Teams: New Features for Developer Portals, Policy and Deployments

Over the last two years, we’ve seen a huge surge in adoption of Pulumi by Platform Teams – centralized teams within a business responsible for building out core cloud infrastructure and providing tools to the rest of the organization to maximize the productivity, cost efficacy, compliance and velocity of application and service delivery throughout the organization. These teams use Pulumi to manage their own cloud infrastructure complexity, to offer best practices components to their organizations, to enforce organizational policy, and to drive infrastructure delivery automation.

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Introducing Pulumi ESC: Easy and Secure Environments, Secrets and Configuration

Introducing Pulumi ESC: Easy and Secure Environments, Secrets and Configuration

Today, we’re excited to introduce Pulumi ESC, a new product from Pulumi that manages and tames secrets and configuration complexity across all of your cloud infrastructure and application environments. Pulumi ESC introduces a new category of configuration-as-code product, motivated by our experience working with hundreds of Pulumi IaC customers to address their needs in managing secrets and configuration at scale within their Pulumi infrastructure and across other cloud applications and infrastructure projects.

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Deploy AI Models on Amazon SageMaker using Pulumi Python IaC

Deploy AI Models on Amazon SageMaker using Pulumi Python IaC

Running models from Hugging Face on Amazon SageMaker is a popular deployment option for AI/ML services. While the SageMaker console allows for provisioning these cloud resources, this deployment pattern is labor intensive to document and vulnerable to human errors when reproducing as a regular operations practice. Infrastructure as Code (IaC) offers a reliable and easy to duplicate deployment practice. By developing this IaC with Pulumi, practitioners can choose to write their infrastructure code in Python and seamlessly develop both AI application code and IaC code in the same language.

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