Azure Cosmos DB: Low Latency and High Availability at Planet Scale Mei-Chin Tsai and Vinod Sridharan discuss the internal architecture of Azure Cosmos DB and how it achieves high availability, low latency, and scalability. https://lnkd.in/en7t94sM
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QCon London 2023: Azure Cosmos DB: Low Latency and High Availability at Planet Scale Mei-Chin Tsai and Vinod Sridharan discuss the internal architecture of #AzureCosmosDB and how it achieves high availability, low latency, and scalability. https://lnkd.in/e36nHbS3
Azure Cosmos DB: Low Latency and High Availability at Planet Scale
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Great talk by Kevin Pilch on Azure Cosmos DB architecture!
#AzureCosmosDB - Low Latency and High Availability at Planet Scale - Kevin Pilch This talk covers the internal architecture of Azure Cosmos DB and how it achieves high availability, low latency, and scalability. https://lnkd.in/gehf55RK
Azure Cosmos DB - Low Latency and High Availability at Planet Scale - Kevin Pilch
https://www.youtube.com/
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Watch the final part of the series "Crafting Applications with Cosmos DB" where Saranya Sriram and Sandeep S Nair unpack how surprisingly simple it is to make your app on Cosmos DB resilient in the case of a Datacenter failure. They also refer to a new preview feature that is a steal: Dynamic Autoscaling: https://lnkd.in/e74PXE4V #Autoscale Azure Cosmos DB #HighAvailability #NoSQL #DistributedData https://lnkd.in/e8he9PCy
Prototype to Production: Crafting Applications with Azure Cosmos DB - Part 3
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Tune in for Deborah Chen's #AzureCosmosDBConf session on optimizing cost/performance with Azure Cosmos DB elasticity. Discover best practices in partitioning and use features like autoscale and partition merge for better workload management. https://lnkd.in/e69XA_6h
How to achieve good cost/performance with Azure Cosmos DB elasticity
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Tune in for Deborah Chen's #AzureCosmosDBConf session on optimizing cost/performance with Azure Cosmos DB elasticity. Discover best practices in partitioning and use features like autoscale and partition merge for better workload management. https://lnkd.in/eiD5usrF
How to achieve good cost/performance with Azure Cosmos DB elasticity
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Discover how to build scalable, resilient systems with Azure Cosmos DB! Join Shahab Ganji on Sep 10 at 10AM PT / 1PM ET for an insightful session. 🌐🔗 https://lnkd.in/e9ceYjbf #AzureCosmosDB #EventDriven
Building Event-Driven Systems at Scale with Azure Cosmos DB - Sept. 2024
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Discover how to build scalable, resilient systems with Azure Cosmos DB! Join Shahab Ganji on Sep 10 at 10AM PT / 1PM ET for an insightful session. 🌐🔗 https://lnkd.in/enHCZvrD #AzureCosmosDB #EventDriven
Building Event-Driven Systems at Scale with Azure Cosmos DB - Sept. 2024
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Every day there is a little bit of #AzureCosmosDB in your life. Whether it's your morning coffee or that flight you have booked, you can count on applications built with Azure Cosmos DB. Watch this short video and learn more! https://lnkd.in/eHqxkYt2
A day in the life with Azure Cosmos DB (Captions)
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Join me at Cosmos Conf in a few weeks to learn how to read millions of items in seconds with the Azure Cosmos DB Spark Connector! This quick and informative talk will cover how to achieve lightning-fast results when working with large datasets. The records came back so fast, it's just unbelievable! 😂 Don't miss out on this opportunity to learn more about the Spark Connector and Azure Cosmos DB. Check out the link for more details. #CosmosConf #SparkConnector #AzureCosmosDB
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🚀 Announcing dynamic scaling per region and per partition (public preview) for new #AzureCosmosDB accounts! Optimize costs as regions and partitions scale independently based on usage patterns. Perfect for non-uniform workloads. 🌍💡 https://lnkd.in/eh_7UtKB
Introducing Dynamic Scaling Per Region and Per Partition on Azure Cosmos DB's Autoscale
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