Duration: 0:00

166 views

6

Azure Cosmos DB is widely recognized for its unmatched scalability and performance among NoSQL cloud databases. However, it often carries the perception of being a costly solution. In this session, we’ll explore strategies to maximize both the power and cost-effectiveness of Azure Cosmos DB through effective data modeling and architecture. Drawing from real-world experience, I’ll share how I’ve structured data in distributed applications to run production systems for under $100 per month in database costs. Additionally, we’ll delve into the critical decisions involved in balancing scalability with cost optimization. Join us to uncover practical techniques that make Azure Cosmos DB an indispensable tool for your platform.\n\n#azurecosmosdb #azure #databases\n\nUseful links:\n\n• Subscribe to this channel - https://aka.ms/AzureCosmosDBYouTube\n• Check out past meetups on YouTube to catch anything you might have missed -    • Global User Group Meetups  \n• Want to present at a future meetup? Fill out our intake form - https://aka.ms/AzureCosmosDB/UserGroupSubmission\n• Try Azure Cosmos DB Free - https://aka.ms/trycosmosdb\n• Microsoft Reactor - https://aka.ms/Reactor\n• Follow Azure Cosmos DB on X - https://twitter.com/AzureCosmosDB \n• Follow Azure Cosmos DB on LinkedIn - https://www.linkedin.com/company/azure-cosmos-db\n\nSpeaker: Michael Calvin\nMichael Calvin is a technology leader dedicated to delivering exceptional software through high-performance engineering teams. With over 15 years of experience, he has a proven track record in developing cloud-first SaaS solutions across various industries, including construction technology, identity-proofing (KYC), financial services, healthcare, and education.\n\nAt Kinectify, Michael leads the engineering team, focusing on building scalable and secure applications. His deep expertise in Microsoft Azure and Cosmos DB has been instrumental in architecting solutions that are both high-performing and cost-effective. He has a strong background in cloud architecture, distributed systems, and scalable solutions, making him a sought-after professional in the field.\n\nMichael's technical acumen encompasses a wide range of programming languages and frameworks, including C#, .NET, JavaScript, Angular, React, Java, and Python. He has extensive experience in implementing microservices architectures, utilizing containerization technologies such as Docker and Kubernetes, and adopting DevOps practices to streamline deployment pipelines. His proficiency with Azure services extends to Azure Functions, Azure DevOps, and Azure Active Directory, enabling him to design and deploy robust, secure, and efficient cloud-based applications.