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Divide, Conquer & Scale: Microservices powered by Azure Cosmos DB
Building microservices-based applications is a common consideration when designing modern, distributed systems. But what does it really mean to use Azure Cosmos DB as your data management system in the real world? What are the benefits of adopting this approach? What challenges might you face, and what trade-offs should you be aware of? This demo-driven session dives deep into leveraging Azure Cosmos DB's global distribution, partitioning strategies, and consistency models to build resilient and scalable microservices architectures. From simple approaches to advanced patterns, this session will provide you with the knowledge and skills to master data management complexities in distributed microservices architectures. Discover the best practices to tap into the power of Cosmos DB's multi-model, globally distributed data capabilities to boost the resilience, flexibility, and scalability of your microservices applications. #azurecosmosdb #microservices #azure Useful Links: Try Azure Cosmos DB Free: https://aka.ms/trycosmosdb Microsoft Developers AI Learning Hackathon: https://aka.ms/azurecosmosdbhackathon Try Azure Cosmos DB free with Azure AI Advantage: https://aka.ms/AzureAIAdvantage Subscribe to Azure Cosmos DB on YouTube:    / azurecosmosdb   Follow Azure Cosmos DB on X:   / azurecosmosdb   Follow Azure Cosmos DB on LinkedIn:   / azure-cosmos-db   Speaker: Teena Idnani Bio: Teena Idnani is a Senior Lead Software Engineer based out of London. As a certified Azure Solutions Architect, she excels in building scalable cloud-native event driven architectures and is a key player in uplifting engineering practices across her organisation. In her current role, she enables various teams as they migrate and modernize their applications on Azure. She is also passionate about exploring potential applications of Quantum computing in finance. She is a prolific public speaker and enjoys mentoring young minds/women in tech. [eventID:22811]

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Microsoft Reactor

114K subscribers
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