Learn why more than 50,700 customers have chosen to build their applications on MongoDB here: https://trymongodb.com/4gttIcn Subscribe to MongoDB YouTube→ https://trymongodb.com/3MC41bS This session offers a deep dive into architecting SaaS platforms using MongoDB, focusing on scaling, performance, and AI-readiness. Gain insights into effective data management practices, ensuring seamless integration of AI use-cases like LLMs and vector search, and preparing your SaaS platform for the next generation of AI-driven features. Speaker: Steven Poitras, Chief Architect, devrev.ai ⏱️ Timestamps ⏱️ Introduction and Speaker Background 00:00:00 Steven Poitras Chief Architect at devrev, opens the session by encouraging audience interaction and emphasizing the importance of designing for the future, especially in the era of AI. He discusses the concept of convergence and its role in efficiency and innovation, using the iPhone as an example. The Evolution of Technology and Business 00:06:24 Steven delves into the historical context of technological evolution, highlighting the importance of convergence and autonomy in driving efficiency. He provides examples from past technological advancements and discusses the challenges of knowledge silos within organizations. AI and the Future of Work 00:12:48 The focus shifts to the impact of AI on the future of work and business. Steven talks about the rapid improvements in language models and the potential changes in how we interact with systems and each other. He stresses the importance of context and data in AI's effectiveness. Designing for Scalability and Agility 00:19:12 Steven discusses the core tenets of designing scalable and agile SaaS applications, including the need for scalability, agility, availability, and security. He shares insights on how to achieve these goals through various strategies and technologies. Overcoming Data Challenges and Leveraging MongoDB 00:25:36 The conversation turns to the challenges of data scale, distribution, and performance. Steven explains how they addressed these issues by leveraging MongoDB Atlas and its features, such as change streams and Kafka CDC, to efficiently handle large volumes of data. Embracing Edge Computing and Automation 00:32:10 Steven concludes by highlighting the importance of edge computing and automation in scaling and improving efficiency. He discusses the use of Fastly CDN, WebAssembly, and MongoDB Edge to bring computation closer to the user and reduce latency. He also emphasizes the significance of automation in code generation and infrastructure management. #devrev #devrevai #AI #SaaS

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