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What does it take to go from an idea in a notebook to an application handling real-world traffic? The Pinecone and Pulumi teams will explore the infrastructure and service architecture you need in order to scale AI apps in production. We will delve into deploying high-volume AI systems through scalable microservices, efficient data processing, and seamless synchronization between user interfaces and databases. We will examine the nuances of containerization for enhanced portability and Infrastructure as Code (IaC) for streamlined cloud deployments. The workshop will also discuss industry best practices in scalability and security for production-grade AI systems in a cloud-native landscape. This workshop is designed to help developers and engineers gain valuable insights and practical strategies for evolving AI applications into resilient and efficient cloud-native solutions.

What does it take to go from an idea in a notebook to an application handling real-world traffic? The Pinecone and Pulumi teams will explore the infrastructure and service architecture you need in order to scale AI apps in production.

We will delve into deploying high-volume AI systems through scalable microservices, efficient data processing, and seamless synchronization between user interfaces and databases. We will examine the nuances of containerization for enhanced portability and Infrastructure as Code (IaC) for streamlined cloud deployments. The workshop will also discuss industry best practices in scalability and security for production-grade AI systems in a cloud-native landscape.

This workshop is designed to help developers and engineers gain valuable insights and practical strategies for evolving AI applications into resilient and efficient cloud-native solutions.

Speakers:

• Scott Lowe, Principal Community Engineer, Pulumi
• Zach Proser, Staff Developer Advocate, Pinecone

Join us to learn:

• The basics of infrastructure as code and the Pulumi programming model
• How to provision, update, and destroy AWS resources (Amazon ECS clusters, networking infrastructure, messaging queues, and Amazon RDS Postgres databases)
• How to create and manage Pinecone indexes

Where: BigMarker at https://pulumip.us/AI-apps-to-Production Please register at the link above to be able to attend and receive the link to the example code and workshop recording. Join our other workshop here: https://pulumip.us/UpcomingWorkshops

What does it take to go from an idea in a notebook to an application handling real-world traffic? The Pinecone and Pulumi teams will explore the infrastructure and service architecture you need in order to scale AI apps in production.

We will delve into deploying high-volume AI systems through scalable microservices, efficient data processing, and seamless synchronization between user interfaces and databases. We will examine the nuances of containerization for enhanced portability and Infrastructure as Code (IaC) for streamlined cloud deployments. The workshop will also discuss industry best practices in scalability and security for production-grade AI systems in a cloud-native landscape.

This workshop is designed to help developers and engineers gain valuable insights and practical strategies for evolving AI applications into resilient and efficient cloud-native solutions.

Speakers:

• Scott Lowe, Principal Community Engineer, Pulumi
• Zach Proser, Staff Developer Advocate, Pinecone

Join us to learn:

• The basics of infrastructure as code and the Pulumi programming model
• How to provision, update, and destroy AWS resources (Amazon ECS clusters, networking infrastructure, messaging queues, and Amazon RDS Postgres databases)
• How to create and manage Pinecone indexes

Where: BigMarker at https://pulumip.us/AI-apps-to-Production Please register at the link above to be able to attend and receive the link to the example code and workshop recording. Join our other workshop here: https://pulumip.us/UpcomingWorkshops