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???Excited to announce the GA of Dynamic Scaling per Region and Partition in #AzureCosmosDB! Now you can optimize costs and performance with independent scaling for each partition and region. Learn more:?https://lnkd.in/eQh8NbCF

Considering Azure Cosmos DB for your project? We'll help you navigate this powerful but potentially expensive database solution. As Microsoft's enterprise-grade distributed database service, #CosmosDB offers impressive capabilities - but comes with important considerations for teams making infrastructure decisions. In this technical video, https://hubs.ly/Q02-BfCP0, we explore: ?? The true cost structure compared to alternatives ?? Architectural differences from traditional databases ?? Multi-model capabilities and API options ?? Partition management and scaling strategies ?? Operational advantages and potential drawbacks Let us know what you think and if you have any questions! #Azure #database #cloud #mongodb

ITS NOT TOO LATE; Join us today at 1pm EST if you want to learn how #CockroachDB stacks up to #AWSAurora. Join Morgan Winslow as he explores real-world workloads to provide a comprehensive overview of how CockroachDB and Aurora perform under various scenarios. Your Database should be a Cockroach?????: Scale Fast, Survive Anything, Thrive Everywhere. WOULD YOU LIKE TO KNOW MORE? Let's talk:

Lesson Learned #486: Snapshot Isolation Transaction Failed Due to a Concurrent DDL Statement. Today, we worked on a service request that our customer faced the following error message:?Msg 3961, Level 16, State 1, Line 4Snapshot isolation transaction failed in database 'DbName' because the object accessed by the statement has been modified by a DDL statement in another concurrent transaction since the start of this transaction. It is disallowed because the metadata is not versioned. A concurrent update to metadata can lead to inconsistency if mixed with snapshot isolation. ? What is Snapshot Isolation? Snapshot isolation allows... #techcommunity #azure #microsoft https://lnkd.in/g53N69Aa

Great talk by Kevin Pilch on Azure Cosmos DB architecture!

?? Excited to Announce My First Story on Medium! ?? I’m thrilled to share my insights in Optimizing Azure Cosmos DB: Lessons Learned and Best Practices That Saved Us $1M. In this piece, I discuss: - Effective Partitioning: Choosing the right partition key to prevent performance bottlenecks. - Dynamic Scaling: Utilizing features like Dynamic Scaling Per Region and Per Partition to align costs with actual usage. - Throughput Redistribution: Customizing Request Units (RUs) across partitions to enhance efficiency. These strategies led to significant performance improvements and approximately $1M / Year in cost savings. I hope our experiences provide valuable insights for optimizing your own Cosmos DB instances. #AzureCosmosDB #CostOptimization #CloudComputing #TechLeadership #Medium https://lnkd.in/dTm_MPMK

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

Learn how to protect your data and ensure high availability with object replication in #Azure Blob Storage. Dive into the technical setup and best practices to optimize data distribution across regions effortlessly. https://zurl.co/Dtq0 #DataProtection

This evening, we delve into a comparison between CockroachDB and Aurora, analysing performance in real-world workloads. For a detailed insight into how these databases fare in different scenarios, check out the webinar at the link below: https://lnkd.in/gPyeW5-3

Choosing the Right AWS S3 Storage Class Saves Cost and Optimizes Performance: 1?? S3 Standard: For frequently accessed data with low latency needs. Best for active datasets like logs or media files. 2?? S3 Intelligent-Tiering: Automatically moves data between storage tiers based on access patterns, reducing costs. 3?? S3 Standard-IA (Infrequent Access): Ideal for less-accessed data that still requires rapid retrieval, such as backups. 4?? S3 Glacier: Designed for archival storage with retrieval times from minutes to hours. 5?? S3 Glacier Deep Archive: Lowest-cost storage for long-term retention of rarely accessed data. ?? Pro Tip: Use Lifecycle Policies to automatically transition objects to cheaper storage classes over time. #AWS #S3Storage #CloudTips #CloudEdventures ?? Shoutout to Werner Vogels (AWS CTO) for constantly innovating S3 for scalability and efficiency!