Talia Kohan (Nassi)
Staff Developer Advocate @ Postman
Los Angeles, California, United States
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Talia Kohan (Talia Nassi) is a Staff Developer Advocate at Postman, helping developers build, test, and scale APIs and AI-powered applications. A global keynote speaker, she works closely with the developer community to share best practices in modern software development and foster innovation through practical education and collaboration.
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Architecting the Future: Building Scalable and Secure Multi-Cloud Applications
In this talk, we’ll explore the intricate world of multi-cloud architecture. We'll dive into essential strategies for crafting resilient, scalable, and secure applications across multiple cloud providers, all while avoiding vendor lock-in. I'll share insights on how to choose the right cloud providers tailored to each business need, leveraging their unique strengths and capabilities. We'll also discuss the power of integrating with open-source tools to enhance flexibility and customization in your cloud environment. Throughout our discussion, we'll examine practical considerations like identity and access management, security, and cost management, ensuring a comprehensive understanding of multi-cloud complexities. Through the real-world examples that we'll discuss, you'll gain actionable insights. Whether you're a seasoned architect or a budding developer, this session will empower you to navigate the multi-cloud landscape with confidence and independence.
Cloud Computing 101
If you've always been curious about the cloud, or have had questions about how to start building in the cloud, this talk is for you! You’ll learn what the different resources and services are available in the cloud, when to use them, and how to deploy them in the cloud. You'll also learn how to solve common challenges via cloud compute. You’ll get an overview of Infrastructure as a Service, Platform as a Service, and Software as a Service and how each service can be used when you build on the cloud as well as tips on how to best set up your cloud security. We'll also do an infrastructure as code demo with Linode and Terraform.
Testing in Production
How do you know your feature is working perfectly in production? If something breaks in production, how will you know? Will you wait for a user to report it to you? What do you do when your staging test results do not reflect current production behavior? In order to test proactively as opposed to reactively, try testing in production! You will have an increased accuracy of test results, your tests will run faster due to elimination of bad data, and you will have higher confidence before releases. This can be accomplished through feature flagging, canary releases, and data cleanup. You will leave this talk with strategies to mitigate risk, to better your understanding of the steps to get there, and to shift your company’s testing culture, so you can provide the best possible experience to your users. This talk is beneficial because too many people are stuck in the old mindset of testing their features in a staging environment. At the end of the day, we don't care if your features work in staging, we care if they work in production.
Building applications with infrastructure as code
How do you ensure consistency in your environments? How do you make sure the resources you deploy have the same configurations across different accounts? How can I see all of the configurations for all of my resources in one place? Infrastructure as code is the answer. Many developers start building applications from their cloud console. While great for learning, this is not a scalable method for building applications. In this session, learn how to move from the console to using infrastructure as code. You will learn how to construct applications that can be versioned and deployed repeatedly across multiple environments.
There's no AI without APIs
We’re in the midst of an AI revolution—and APIs are its unsung heroes. While LLMs and AI agents grab headlines, it's APIs that power their ability. Behind every AI-generated insight, recommendation, or automated task is an API call connecting the model to the tools, services, and data it needs to get the job done.
As AI systems evolve from passive assistants to autonomous agents capable of decision-making and execution, APIs have become the essential infrastructure enabling this transformation. They are no longer just integration tools—they are the action layer of AI.
In this talk, we’ll explore how APIs are shaping the future of intelligent automation. Using real-world examples from across industries, we’ll examine how companies are leveraging APIs to orchestrate multi-step workflows, access real-time data, and drive operational efficiency with AI. Organizations with robust, scalable, and discoverable API ecosystems will not only keep up—they’ll lead. If AI is the recipe, APIs are the ingredients. It's time we start treating them that way.
What You’ll Learn:
- The shift from human-first to machine-first consumption patterns in API design
- Emerging standards that are streamlining AI-API interactions
- Strategies to future-proof your API ecosystem for the intelligent systems of tomorrow
Talia Kohan (Nassi)
Staff Developer Advocate @ Postman
Los Angeles, California, United States
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