Podcasts about azure cosmos db

Rakhi Thejraj joins Scott Hanselman to talk about Azure Cosmos DB! Azure Cosmos DB has been constantly bringing new features to boost performance and optimize costs. Azure Cosmos DB has optimized the autoscale feature to make it more cost-effective for customers with non-uniform workloads such as highly trafficked primary region and a passive secondary region just for disaster recovery. This breakthrough feature is called Dynamic Scaling. Binary Encoding feature on the other hand has optimized the storage and query costs Chapters 00:00 - Introduction 00:38 - Dynamic scaling 08:47 - Binary encoding Recommended resources Dynamic scaling Blog Dynamic scaling Public Documentation Dynamic scaling FAQ Binary Encoding Blog Connect Scott Hanselman | Twitter/x: @SHanselman Azure Friday | Twitter/x: @AzureFriday Azure | Twitter/x: @Azure

Rakhi Thejraj joins Scott Hanselman to talk about Azure Cosmos DB! Azure Cosmos DB has been constantly bringing new features to boost performance and optimize costs. Azure Cosmos DB has optimized the autoscale feature to make it more cost-effective for customers with non-uniform workloads such as highly trafficked primary region and a passive secondary region just for disaster recovery. This breakthrough feature is called Dynamic Scaling. Binary Encoding feature on the other hand has optimized the storage and query costs Chapters 00:00 - Introduction 00:38 - Dynamic scaling 08:47 - Binary encoding Recommended resources Dynamic scaling Blog Dynamic scaling Public Documentation Dynamic scaling FAQ Binary Encoding Blog Connect Scott Hanselman | Twitter/x: @SHanselman Azure Friday | Twitter/x: @AzureFriday Azure | Twitter/x: @Azure

Richa Gaur joins Scott Hanselman to talk about how to boost developer productivity & app efficiency with Azure Cosmos DB while building an energy optimization solution for enterprises to hit their emission targets. They start with a serverless Azure Cosmos DB account to dive into development without the hassle of capacity planning. Next, they explore how to seamlessly adjust partition keys for containers as large tenants join the platform. Finally, they transition from a serverless setup to a provisioned throughput mode, leveraging the cloud database's performance and availability guarantees to ensure your solution is both reliable and high performing. Chapters 00:00 - Introduction 01:45 - The demo app 04:56 - Adjusting partition keys (offline) 09:55 - Adjusting partition keys (online) 13:14 - Switch to provisioned throughput 16:37 - Wrap-up Recommended resources Changing the partition key in Azure Cosmos DB Container copy jobs in Azure Cosmos DB Change from serverless to provisioned capacity mode in Azure Cosmos DB for NoSQL Azure Cosmos DB serverless account type Create a Pay-as-You-Go account (Azure) Create a free account (Azure) Connect Scott Hanselman | Twitter/X: @SHanselman Richa Gaur | Twitter/X: @nonomadicc Azure Friday | Twitter/X: @AzureFriday Azure Cosmos DB | Twitter/X: @AzureCosmosDB

Richa Gaur joins Scott Hanselman to talk about how to boost developer productivity & app efficiency with Azure Cosmos DB while building an energy optimization solution for enterprises to hit their emission targets. They start with a serverless Azure Cosmos DB account to dive into development without the hassle of capacity planning. Next, they explore how to seamlessly adjust partition keys for containers as large tenants join the platform. Finally, they transition from a serverless setup to a provisioned throughput mode, leveraging the cloud database's performance and availability guarantees to ensure your solution is both reliable and high performing. Chapters 00:00 - Introduction 01:45 - The demo app 04:56 - Adjusting partition keys (offline) 09:55 - Adjusting partition keys (online) 13:14 - Switch to provisioned throughput 16:37 - Wrap-up Recommended resources Changing the partition key in Azure Cosmos DB Container copy jobs in Azure Cosmos DB Change from serverless to provisioned capacity mode in Azure Cosmos DB for NoSQL Azure Cosmos DB serverless account type Create a Pay-as-You-Go account (Azure) Create a free account (Azure) Connect Scott Hanselman | Twitter/X: @SHanselman Richa Gaur | Twitter/X: @nonomadicc Azure Friday | Twitter/X: @AzureFriday Azure Cosmos DB | Twitter/X: @AzureCosmosDB

Leverage Azure Cosmos DB for generative AI workloads for automatic scalability, low latency, and global distribution to handle massive data volumes and real-time processing. With support for versatile data models and built-in vector indexing, it efficiently retrieves natural language queries, making it ideal for grounding large language models. Seamlessly integrate with Azure OpenAI Studio for API-level access to GPT models and access a comprehensive gallery of open-source tools and frameworks in Azure AI Studio to enhance your AI applications. ► QUICK LINKS: 00:00 - Azure Cosmos DB for generative AI workloads 00:18 - Versatile Data Models 00:39 - Scalability and performance 01:19 - Global distribution 01:31 - Vector indexing and search 02:07 - Grounding LLMs 02:30 - Wrap up   ► Unfamiliar with Microsoft Mechanics?  As Microsoft's official video series for IT, you can watch and share valuable content and demos of current and upcoming tech from the people who build it at Microsoft. • Subscribe to our YouTube: https://www.youtube.com/c/MicrosoftMechanicsSeries • Talk with other IT Pros, join us on the Microsoft Tech Community: https://techcommunity.microsoft.com/t5/microsoft-mechanics-blog/bg-p/MicrosoftMechanicsBlog • Watch or listen from anywhere, subscribe to our podcast: https://microsoftmechanics.libsyn.com/podcast   ► Keep getting this insider knowledge, join us on social: • Follow us on Twitter: https://twitter.com/MSFTMechanics  • Share knowledge on LinkedIn: https://www.linkedin.com/company/microsoft-mechanics/ • Enjoy us on Instagram: https://www.instagram.com/msftmechanics/ • Loosen up with us on TikTok: https://www.tiktok.com/@msftmechanics

Get a unified solution for secure access management, identity verification, and Zero Trust security for cloud and on-premises resources. The new Microsoft Entra suite integrates five capabilities: Private Access, Internet Access, ID Protection, ID Governance, and Face Check as part of Verified ID Premium, included with Microsoft Entra Suite. With these capabilities, you can streamline user onboarding, enhance security with automated workflows, and protect against threats using Conditional Access policies. See how to reduce security gaps, block lateral attacks, and replace legacy VPNs, ensuring efficient and secure access to necessary resources. Jarred Boone, Identity Security Senior Product Manager, shares how to experience advanced security and management with Microsoft Entra Suite.   ► QUICK LINKS: 00:00 - Unified solution with Microsoft Entra Suite 00:38 - Microsoft Entra Private Access 01:39 - Microsoft Entra Internet Access 02:42 - Microsoft Entra ID Protection 03:31 - Microsoft Entra ID Governance 04:18 - Face Check in Verified ID Premium, included with Microsoft Entra Suite 04:52 - How core capabilities work with onboarding process 06:08 - Protect access to resources 07:22 - Control access to internet endpoints 08:05 - Establish policies to dynamically adjust 08:45 - Wrap up   ► Link References Try it out at https://entra.microsoft.com  Watch our related deep dives at https://aka.ms/EntraSuitePlaylist  Check out https://aka.ms/EntraSuiteDocs  ► Unfamiliar with Microsoft Mechanics?  As Microsoft's official video series for IT, you can watch and share valuable content and demos of current and upcoming tech from the people who build it at Microsoft. • Subscribe to our YouTube: https://www.youtube.com/c/MicrosoftMechanicsSeries • Talk with other IT Pros, join us on the Microsoft Tech Community: https://techcommunity.microsoft.com/t5/microsoft-mechanics-blog/bg-p/MicrosoftMechanicsBlog • Watch or listen from anywhere, subscribe to our podcast: https://microsoftmechanics.libsyn.com/podcast   ► Keep getting this insider knowledge, join us on social: • Follow us on Twitter: https://twitter.com/MSFTMechanics  • Share knowledge on LinkedIn: https://www.linkedin.com/company/microsoft-mechanics/ • Enjoy us on Instagram: https://www.instagram.com/msftmechanics/ • Loosen up with us on TikTok: https://www.tiktok.com/@msftmechanics

Ensure high-accuracy, efficient vector search at massive scale with Azure Cosmos DB. Leveraging Microsoft's DiskANN, more IO traffic moves to disk to maximize storage capacity and enable high-speed similarity searches across all data, reducing memory dependency. This technology, powering global services like Microsoft 365, is now integrated into Azure Cosmos DB, enabling developers to build scalable, high-performance applications with built-in vector search, real-time fraud detection, and robust multi-tenancy support. Join Kirill Gavrylyuk, VP for Azure Cosmos DB, as he shares how Azure Cosmos DB with DiskANN offers unparalleled speed, efficiency, and accuracy, making it the ideal solution for modern AI-driven applications.   ► QUICK LINKS: 00:00 - Latest Cosmos DB optimizations with DiskANN 02:09 - Where DiskANN approach is beneficial 04:07 - Efficient querying 06:02 - DiskANN compared to HNSW 07:41 - Integrate DiskANN into a new or existing app 08:39 - Real-time transactional AI scenario 09:29 - Building a fraud detection sample app 10:59 - Vectorize transactions for anomaly detection 12:49 - Scaling to address high levels of traffic 14:05 - Manage multi-tenancy 15:35 - Wrap up   ► Link References Check out https://aka.ms/DiskANNCosmosDB Try out apps at https://aka.ms/DiskANNCosmosDBSamples   ► Unfamiliar with Microsoft Mechanics?  As Microsoft's official video series for IT, you can watch and share valuable content and demos of current and upcoming tech from the people who build it at Microsoft. • Subscribe to our YouTube: https://www.youtube.com/c/MicrosoftMechanicsSeries • Talk with other IT Pros, join us on the Microsoft Tech Community: https://techcommunity.microsoft.com/t5/microsoft-mechanics-blog/bg-p/MicrosoftMechanicsBlog • Watch or listen from anywhere, subscribe to our podcast: https://microsoftmechanics.libsyn.com/podcast   ► Keep getting this insider knowledge, join us on social: • Follow us on Twitter: https://twitter.com/MSFTMechanics  • Share knowledge on LinkedIn: https://www.linkedin.com/company/microsoft-mechanics/ • Enjoy us on Instagram: https://www.instagram.com/msftmechanics/ • Loosen up with us on TikTok: https://www.tiktok.com/@msftmechanics

In this episode, Steve, Frank and Mike discuss the benefits of using the free tier in Microsoft Azure. They explore the various free offerings available, such as Azure Cosmos DB, Azure DevOps, and speech-to-text translation. They also discuss the importance of monitoring costs and implementing processes to prevent unexpected expenses. Mike shares insights on cost optimization for Cosmos DB and announces an upcoming video on the topic.

Build low-latency recommendation engines with Azure Cosmos DB and Azure OpenAI Service. Elevate user experience with vector-based semantic search, going beyond traditional keyword limitations to deliver personalized recommendations in real-time. With pre-trained models stored in Azure Cosmos DB, tailor product predictions based on user interactions and preferences. Explore the power of augmented vector search for optimized results prioritized by relevance. Kirill Gavrylyuk, Azure Cosmos DB General Manager, shows how to build recommendation systems with limitless scalability, leveraging pre-computed vectors and collaborative filtering for next-level, real-time insights.   ► QUICK LINKS: 00:00 - Build a low latency recommendation engine 00:59 - Keyword search 01:46 - Vector-based semantic search 02:39 - Vector search built-in to Cosmos DB 03:56 - Model training 05:18 - Code for product predictions 06:02 - Test code for product prediction 06:39 - Augmented vector search 08:23 - Test code for augmented vector search 09:16 - Wrap up   ► Link References Walk through an example at https://aka.ms/CosmosDBvectorSample  Try out Cosmos DB for MongoDB for free at https://aka.ms/TryC4M   ► Unfamiliar with Microsoft Mechanics?  As Microsoft's official video series for IT, you can watch and share valuable content and demos of current and upcoming tech from the people who build it at Microsoft. • Subscribe to our YouTube: https://www.youtube.com/c/MicrosoftMechanicsSeries • Talk with other IT Pros, join us on the Microsoft Tech Community: https://techcommunity.microsoft.com/t5/microsoft-mechanics-blog/bg-p/MicrosoftMechanicsBlog • Watch or listen from anywhere, subscribe to our podcast: https://microsoftmechanics.libsyn.com/podcast   ► Keep getting this insider knowledge, join us on social: • Follow us on Twitter: https://twitter.com/MSFTMechanics  • Share knowledge on LinkedIn: https://www.linkedin.com/company/microsoft-mechanics/ • Enjoy us on Instagram: https://www.instagram.com/msftmechanics/ • Loosen up with us on TikTok: https://www.tiktok.com/@msftmechanics  

In this episode of "Legal Document Processing with Azure AI," we discussed how Azure AI is transforming legal document processing. Legal professionals often grapple with the time-consuming task of manually handling extensive paperwork, which can lead to inefficiencies and errors. Azure AI introduces a robust solution by automating these processes, significantly enhancing productivity and accuracy in legal settings.We start with Azure Form Recognizer, a tool that automates data extraction from complex documents such as client intake forms. It uses optical character recognition (OCR) and advanced machine learning to quickly and accurately extract essential information, converting hours of manual data entry into minutes.Next, we explore Azure Cognitive Search, which revolutionizes document retrieval by using natural language processing to understand the context and semantics of queries, delivering highly relevant search results.Additionally, we discuss the role of Azure Cosmos DB in providing scalable and secure document storage solutions, ensuring compliance and efficient data retrieval.Lastly, Azure Functions automate complex document processing tasks, allowing legal professionals to focus on more strategic work. This episode underscores the necessity of adopting AI technologies to enhance legal practices.

Join us at our first in-person conference on June 25 all about AI Quality: https://www.aiqualityconference.com/ MLOps Coffee Sessions Special episode with Databricks, Introducing DBRX: The Future of Language Models, fueled by our Premium Brand Partner, Databricks. DBRX is designed to be especially capable of a wide range of tasks and outperforms other open LLMs on standard benchmarks. It also promises to excel at code and math problems, areas where others have struggled. Our panel of experts will get into the technical nuances, potential applications, and implications of DBRx for businesses, developers, and the broader tech community. This session is a great opportunity to hear from insiders about how DBRX's capabilities can benefit you. // Bio Denny Lee - Co-host Denny Lee is a long-time Apache Spark™ and MLflow contributor, Delta Lake maintainer, and a Sr. Staff Developer Advocate at Databricks. A hands-on distributed systems and data sciences engineer with extensive experience developing internet-scale data platforms and predictive analytics systems. He has previously built enterprise DW/BI and big data systems at Microsoft, including Azure Cosmos DB, Project Isotope (HDInsight), and SQL Server. Davis Blalock Davis Blalock is a research scientist and the first employee at MosaicML. He previously worked at PocketSonics (acquired 2013) and completed his PhD at MIT, where he was advised by John Guttag. He received his M.S. from MIT and his B.S. from the University of Virginia. He is a Qualcomm Innovation Fellow, NSF Graduate Research Fellow, and Barry M. Goldwater Scholar. He is also the author of Davis Summarizes Papers, one of the most widely-read machine learning newsletters. Bandish Shah Bandish Shah is an Engineering Manager at MosaicML/Databricks, where he focuses on making generative AI training and inference efficient, fast, and accessible by bridging the gap between deep learning, large-scale distributed systems, and performance computing. Bandish has over a decade of experience building systems for machine learning and enterprise applications. Prior to MosaicML, Bandish held engineering and development roles at SambaNova Systems where he helped develop and ship the first RDU systems from the ground up, and Oracle where he worked as an ASIC engineer for SPARC-based enterprise servers. Abhi Venigalla Abhi is an NLP architect working on helping organizations build their own LLMs using Databricks. Joined as part of the MosaicML team and used to work as a researcher at Cerebras Systems. Ajay Saini Ajay is an engineering manager at Databricks leading the GenAI training platform team. He was one of the early engineers at MosaicML (acquired by Databricks) where he first helped build and launch Composer (an open source deep learning training framework) and afterwards led the development of the MosaicML training platform which enabled customers to train models (such as LLMs) from scratch on their own datasets at scale. Prior to MosaicML, Ajay was co-founder and CEO of Overfit, an online personal training startup (YC S20). Before that, Ajay worked on ML solutions for ransomware detection and data governance at Rubrik. Ajay has both a B.S. and MEng in computer science with a concentration in AI from MIT. // MLOps Jobs board https://mlops.pallet.xyz/jobs // MLOps Swag/Merch https://mlops-community.myshopify.com/ // Related Links Website: https://www.databricks.com/ Databricks DBRX: https://www.databricks.com/blog/introducing-dbrx-new-state-art-open-llm --------------- ✌️Connect With Us ✌️ ------------- Join our slack community: https://go.mlops.community/slack Follow us on Twitter: @mlopscommunity Sign up for the next meetup: https://go.mlops.community/register Catch all episodes, blogs, newsletters, and more: https://mlops.community/

Join us at our first in-person conference on June 25 all about AI Quality: https://www.aiqualityconference.com/ // Abstract Dive into the challenges of scaling AI models from Minimum Viable Product (MVP) to full production. The panel emphasizes the importance of continually updating knowledge and data, citing examples like teaching AI systems nuanced concepts and handling brand name translations. User feedback's role in model training, alongside evaluation steps like human annotation and heuristic-based assessment, was highlighted. The speakers stressed the necessity of tooling for user evaluation, version control, and regular performance updates. Insights on in-house and external tools for annotation and evaluation were shared, providing a comprehensive view of the complexities involved in scaling AI models. // Bio Alex Volkov - Moderator Alex Volkov is an AI Evangelist at Weights & Biases, celebrated for his expertise in clarifying the complexities of AI and advocating for its beneficial uses. He is the founder and host of ThursdAI, a weekly newsletter, and podcast that explores the latest in AI, its practical applications, open-source, and innovation. With a solid foundation as an AI startup founder and 20 years in full-stack software engineering, Alex offers a deep well of experience and insight into AI innovation. Eric Peter Product management leader and 2x founder with experience in enterprise products, data, and machine learning. Currently building tools for generative AI @Databricks. Donné Stevenson Focused on building AI-powered products that give companies the tools and expertise needed to harness to power of AI in their respective fields. Phillip Carter Phillip is on the product team at Honeycomb where he works on a bunch of different developer tooling things. He's an OpenTelemetry maintainer -- chances are if you've read the docs to learn how to use OTel, you've read his words. He's also Honeycomb's (accidental) prompt engineering expert by virtue of building and shipping products that use LLMs. In a past life, he worked on developer tools at Microsoft, helping bring the first cross-platform version of .NET into the world and grow to 5 million active developers. When not doing computer stuff, you'll find Phillip in the mountains riding a snowboard or backpacking in the Cascades. Andrew Hoh Andrew Hoh is the President and Co-Founder of LastMile AI. Previously, he was a Group PM Manager at Meta AI, driving product for their AI Platform. Previously, he was the Product Manager for the Machine Learning Infrastructure team at Airbnb and a founding team member of Azure Cosmos DB, Microsoft Azure's distributed NoSQL database. He graduated with a BA in Computer Science from Dartmouth College. A big thank you to our Premium Sponsors,  @Databricks  and  @baseten  for their generous support! // Sign up for our Newsletter to never miss an event: https://mlops.community/join/ // Watch all the conference videos here: https://home.mlops.community/home/collections // Check out the MLOps Community podcast: https://open.spotify.com/show/7wZygk3mUUqBaRbBGB1lgh?si=242d3b9675654a69 // Read our blog: mlops.community/blog // Join an in-person local meetup near you: https://mlops.community/meetups/ // MLOps Swag/Merch: https://mlops-community.myshopify.com/ // Follow us on Twitter: https://twitter.com/mlopscommunity //Follow us on Linkedin: https://www.linkedin.com/company/mlopscommunity/

Join Scott Hanselman and James Codella to learn how you can turn your natural language questions about your data into Azure Cosmos DB NoSQL queries to find the right data to power your applications more easily. Chapters 00:00 - Introduction 00:55 - Copilot for Azure in Cosmos DB 02:40 - Demo 08:30 - Discussion 10:20 - Wrap-up Recommended resources Microsoft Copilot for Azure enables natural language queries for Azure Cosmos DB data Generate NoSQL queries with Microsoft Copilot for Azure in Cosmos DB Frequently asked questions about Microsoft Copilot for Azure in Cosmos DB Create a Pay-as-You-Go account (Azure) Create a free account (Azure) Connect Scott Hanselman | Twitter/X: @SHanselman James Codella | Twitter/X: @JamesCodella Azure Cosmos DB | Twitter/X: @AzureCosmosDB Azure Friday | Twitter/X: @AzureFriday Azure | Twitter/X: @Azure

Join Scott Hanselman and James Codella to learn how you can turn your natural language questions about your data into Azure Cosmos DB NoSQL queries to find the right data to power your applications more easily. Chapters 00:00 - Introduction 00:55 - Copilot for Azure in Cosmos DB 02:40 - Demo 08:30 - Discussion 10:20 - Wrap-up Recommended resources Microsoft Copilot for Azure enables natural language queries for Azure Cosmos DB data Generate NoSQL queries with Microsoft Copilot for Azure in Cosmos DB Frequently asked questions about Microsoft Copilot for Azure in Cosmos DB Create a Pay-as-You-Go account (Azure) Create a free account (Azure) Connect Scott Hanselman | Twitter/X: @SHanselman James Codella | Twitter/X: @JamesCodella Azure Cosmos DB | Twitter/X: @AzureCosmosDB Azure Friday | Twitter/X: @AzureFriday Azure | Twitter/X: @Azure

Join Scott Hanselman, Kirill Gavrylyuk, and James Codella to learn about Azure Cosmos DB's built-in vector search capabilities, how customers are using it in their AI apps, and how you can easily get started today. Chapters 00:00 - Introduction 02:05 - Overview with Kirill Gavrylyuk 06:46 - Real world example: Asos 09:12 - Retrieval Augmented Generation (RAG) 11:57 - Demo setup with James Codella 15:00 - Deploy to Azure 16:53 - Azure OpenAI Studio 26:19 - Graduating from the Chat Playground 29:13 - Wrap-up Recommended resources Vector database - Azure Cosmos DB Azure OpenAI On Your Data Azure / Vector-Search-AI-Assistant-MongoDBvCore Try Azure Cosmos DB for free Introducing the General Availability of Vector Search in Azure Cosmos DB for MongoDB vCore! Create a Pay-as-You-Go account (Azure) Create a free account (Azure) Connect Scott Hanselman | Twitter/X: @SHanselman Azure Cosmos DB | Twitter/X: @AzureCosmosDB Azure Friday | Twitter/X: @AzureFriday Azure | Twitter/X: @Azure

Join Scott Hanselman, Kirill Gavrylyuk, and James Codella to learn about Azure Cosmos DB's built-in vector search capabilities, how customers are using it in their AI apps, and how you can easily get started today. Chapters 00:00 - Introduction 02:05 - Overview with Kirill Gavrylyuk 06:46 - Real world example: Asos 09:12 - Retrieval Augmented Generation (RAG) 11:57 - Demo setup with James Codella 15:00 - Deploy to Azure 16:53 - Azure OpenAI Studio 26:19 - Graduating from the Chat Playground 29:13 - Wrap-up Recommended resources Vector database - Azure Cosmos DB Azure OpenAI On Your Data Azure / Vector-Search-AI-Assistant-MongoDBvCore Try Azure Cosmos DB for free Introducing the General Availability of Vector Search in Azure Cosmos DB for MongoDB vCore! Create a Pay-as-You-Go account (Azure) Create a free account (Azure) Connect Scott Hanselman | Twitter/X: @SHanselman Azure Cosmos DB | Twitter/X: @AzureCosmosDB Azure Friday | Twitter/X: @AzureFriday Azure | Twitter/X: @Azure

Take advantage of Azure Cosmos DB for your AI-driven applications. Seamlessly integrate with large language models like ChatGPT, for real-time operational efficiency and limitless scalability. With its built-in vector search engine and multi-model support, Azure Cosmos DB for MongoDB vCore optimizes for just-in-time data retrieval, so you can build cutting-edge solutions at any scale. Kirill Gavrylyuk, General Manager for the Azure Cosmos DB team, joins Jeremy Chapman to share how you can increase performance and cost-effectiveness, whether managing millions of users globally or building smaller-scale apps.   ► QUICK LINKS: 00:00 - Get your database ready for AI with Azure Cosmos DB 02:33 - Solve for real-time data access requirements 03:39 - Automatic scaling 05:35 - How Azure CosmosDB works for copilot-style apps 06:38 - App using vectorized data 07:24 - Jupyter notebook demo 09:19 - Vector indexing and search in Cosmos DB 10:14 - Building a small copilot-style app 12:10 - Run smaller apps serverless 12:35 - Set maximum throughput thresholds 13:39 - Auto scale using Cosmos DB 14:38 - Wrap Up ► Link References: See how Cosmos DB vector search capabilities work at https://aka.ms/CosmosVector  Get a free trial at https://aka.ms/trycosmosdb    ► Unfamiliar with Microsoft Mechanics?  As Microsoft's official video series for IT, you can watch and share valuable content and demos of current and upcoming tech from the people who build it at Microsoft. • Subscribe to our YouTube: https://www.youtube.com/c/MicrosoftMechanicsSeries • Talk with other IT Pros, join us on the Microsoft Tech Community: https://techcommunity.microsoft.com/t5/microsoft-mechanics-blog/bg-p/MicrosoftMechanicsBlog • Watch or listen from anywhere, subscribe to our podcast: https://microsoftmechanics.libsyn.com/podcast   ► Keep getting this insider knowledge, join us on social: • Follow us on Twitter: https://twitter.com/MSFTMechanics  • Share knowledge on LinkedIn: https://www.linkedin.com/company/microsoft-mechanics/ • Enjoy us on Instagram: https://www.instagram.com/msftmechanics/ • Loosen up with us on TikTok: https://www.tiktok.com/@msftmechanics

Khelan Modi joins Scott Hanselman to explore the features of Azure Cosmos DB for MongoDB vCore, highlighting enhanced compatibility, seamless Azure integration, and flat pricing. The vCore-based architecture streamlines MongoDB workloads, offering real-time AI capabilities, an optimized structure for rich queries, and support for distributed transactions. Chapters 00:00 - Introduction 00:57 - Demo in the Azure portal 06:50 - Khelan's blog post 08:08 - Documentation 08:27 - Wrap-up Recommended resources Introducing Azure Cosmos DB for MongoDB vCore: Now Generally Available! Quickstart: Create an Azure Cosmos DB for MongoDB vCore cluster by using the Azure portal What is Azure Cosmos DB for MongoDB vCore? What is RU-based and vCore-based Azure Cosmos DB for MongoDB? Create a Pay-as-You-Go account (Azure) Try Azure Cosmos DB for free Connect Scott Hanselman | Twitter/X: @SHanselman Khelan Modi | LinkedIn: /in/khelan-modi/ Azure Friday | Twitter/X: @AzureFriday Azure | Twitter/X: @Azure

Khelan Modi joins Scott Hanselman to explore the features of Azure Cosmos DB for MongoDB vCore, highlighting enhanced compatibility, seamless Azure integration, and flat pricing. The vCore-based architecture streamlines MongoDB workloads, offering real-time AI capabilities, an optimized structure for rich queries, and support for distributed transactions. Chapters 00:00 - Introduction 00:57 - Demo in the Azure portal 06:50 - Khelan's blog post 08:08 - Documentation 08:27 - Wrap-up Recommended resources Introducing Azure Cosmos DB for MongoDB vCore: Now Generally Available! Quickstart: Create an Azure Cosmos DB for MongoDB vCore cluster by using the Azure portal What is Azure Cosmos DB for MongoDB vCore? What is RU-based and vCore-based Azure Cosmos DB for MongoDB? Create a Pay-as-You-Go account (Azure) Try Azure Cosmos DB for free Connect Scott Hanselman | Twitter/X: @SHanselman Khelan Modi | LinkedIn: /in/khelan-modi/ Azure Friday | Twitter/X: @AzureFriday Azure | Twitter/X: @Azure

For sure, Microsoft is interested in providing European companies with AI models. But Xiaopeng has good arguments. In this expanded role, he leads the business growth and go-to-market across AI services (e.g. Azure OpenAI), databases (e.g. Azure Cosmos DB), containers (e.g. Azure Kubernetes Service) and serverless (e.g. Azure Functions). Thanks for listening. We welcome suggestions for topics, criticism and a few stars on Apple, Spotify and Co. We thank our partner **HANNOVER MESSE** https://www.hannovermesse.de/de/ Xiaopeng Li (李小鹏) [Contact](https://www.linkedin.com/in/xiaopeng-li/)

We're ready for the days to start getting longer as we're coming in hot this Thursday. Join in as we discuss store profitability returning to a normal state, TomTom gets a foot in the door with future auto tech, and how retailers use music to keep you shopping longer this holiday season.Show Notes with links:The first of a new quarterly report from a partnership between buy/sell firm The Presidio Group and NCM that reviews the data of 4400 franchised dealerships, reveals some stark changes in dealership profitability being dubbed “The Great Normalization”The data reveals a significant 19.5% drop in average dealership pretax profits through Q3 of 2023. A steep decline in gross profit per new vehicle, at 26%Dealership profitability is returning to more traditional patterns following unusually high profits during the COVID-19 pandemic, notes Presidio President George Karolis.George Karolis commented, “I think it gives a really good barometer and a different perspective to folks interested in following the industry.”NADA stopped releasing this data in 2021 its average dealership financial profile data, and this is the first time it has been available sinceAlso notable, F&I income is down 8.1% to $1,587 / per unitYou can get the report by going to the company's site or clicking this link in the show notesGPS company TomTom is collaborating with Microsoft to introduce a sophisticated AI-powered conversational assistant in automobiles, enhancing voice interactions for navigation and vehicle control.The assistant is built on OpenAI's large language models and Microsoft's Azure Cosmos DB and Cognitive Services, promising high capabilities.This technology will be integrated into TomTom's Digital Cockpit and various automobile manufacturers' interfaces, with the auto companies maintaining their brand identity.TomTom has not yet disclosed specific partnerships with vehicle manufacturers, but the technology's versatility suggests widespread adoption potentialAs the holiday shopping season is reaching its peak, you probably have noticed the increase in music being played in retail stores. This isn't new, but there is a lot to learn about how  the strategic deployment of music in the shopping experience influences purchasingSpecialists like Audiosocket and Jukeboxy emphasize the psychological impact of music on shopping behavior, suggesting that uplifting holiday music can encourage longer store visits and increased browsing.According to Magnus Rydén of Soundtrack Your Brand, creating a brand sound involves aligning music with the brand's identity, values, and customer demographics.Hosts: Paul J Daly and Kyle MountsierGet the Daily Push Back email at https://www.asotu.com/ JOIN the conversation on LinkedIn at: https://www.linkedin.com/company/asotu/ Read our most recent email at: https://www.asotu.com/media/push-back-email ASOTU Instagram: https://www.instagram.com/automotivestateoftheunion

Marco Slot spent nearly five years as lead engineer on Citus, an extension that turns Postgres into a distributed database. Citus Data was acquired by Microsoft in 2019, so these days Marco spends his time developing the Citus database engine which powers Azure Cosmos DB for PostgreSQL.

In episode 151 of our SAP on Azure video podcast we talk about the SAP Community events that happend last week: reCAP and the UI5Con in St. Leon-Rot and also the hackathon on SAPs Cloud Application Programming model with Azure Cosmos DB. Volker Buzek and Martin Pankraz join us to talk about how the event was planned and the results. https://www.saponazurepodcast.de/episode151 Reach out to us for any feedback / questions: * Robert Boban: https://www.linkedin.com/in/rboban/ * Goran Condric: https://www.linkedin.com/in/gorancondric/ * Holger Bruchelt: https://www.linkedin.com/in/holger-bruchelt/ #Microsoft #SAP #Azure #SAPonAzure #CosmosDB #CAP

Welcome to the newest episode of The Cloud Pod podcast! Justin, Ryan, Jonathan, and Matthew are all here this week to discuss the latest news and announcements in the world of cloud and AI - including New Relic Grok, Athena Provisioned Capacity from AWS, and updates to the Azure Virtual Desktop. Titles we almost went with this week: None! This week's title was SO GOOD we didn't bother with any alternates. Sometimes it's just like that, you know?  A big thanks to this week's sponsor: Foghorn Consulting, provides top-notch cloud and DevOps engineers to the world's most innovative companies. Initiatives stalled because you have trouble hiring?  Foghorn can be burning down your DevOps and Cloud backlogs as soon as next week.

Welcome to the newest episode of The Cloud Pod podcast! Justin, Ryan and Jonathan are your hosts this week as we discuss all the latest news and announcements in the world of the cloud and AI - including Amazon's new AI, Bedrock, as well as new AI tools from other developers. We also address the new updates to AWS's CodeWhisperer, and return to our Cloud Journey Series where we discuss *insert dramatic music* - Kubernetes!  Titles we almost went with this week: ⭐I'm always Whispering to My Code as an Individual

On this episode of The Cloud Pod, the team discusses the new Amazon Linux 2023, Google Bard,  new features of Google Chronicle Security Operations, GPT-4 from Azure Open AI, and Oracle's Kubernetes platform comparison. They also talk about cloud-native architecture as a way to adapt applications for a pivot to the cloud. A big thanks to this week's sponsor, Foghorn Consulting, which provides full-stack cloud solutions with a focus on strategy, planning and execution for enterprises seeking to take advantage of the transformative capabilities of AWS, Google Cloud and Azure. This week's highlights

On this episode of The Cloud Pod, the team talks about the new AWS region in Malaysia, the launch of AWS App Composer, the expansion of spanner database capabilities, the release of a vision AI by Microsoft; Florence Foundation Model, and the three migration techniques to the cloud space. A big thanks to this week's sponsor, Foghorn Consulting, which provides full-stack cloud solutions with a focus on strategy, planning and execution for enterprises seeking to take advantage of the transformative capabilities of AWS, Google Cloud and Azure. This week's highlights

On this episode of The Cloud Pod, the team discusses the AWS systems manager default enablement option for all EC2 instances in an account, different ideas from leveraging innovators plus subscription using $500 Google credits, the Azure Open Source Day, the new theme for the Oracle OCI Console, and lastly, different ways to migrate to a cloud provider. A big thanks to this week's sponsor, Foghorn Consulting, which provides full-stack cloud solutions with a focus on strategy, planning and execution for enterprises seeking to take advantage of the transformative capabilities of AWS, Google Cloud and Azure. This week's highlights

In episode 129 of our SAP on Azure video podcast we talk about ANF Backup, DB2 Installations on ANF, HA deployment with File Share running on Windows failover to DR region using ASR, a new blog post series on Event Drive Architectures between SAP and Microsoft, OpenAI and Microsoft Extending their Partnership, Interviews in Davos with Satya Nadella and Christian Klein, Garnter Magic Quadrants for iPaas and Enterprise Low-Code Application Platforms, SAP and Power Apps use cases, Private Link with Azure Cosmos DB and SAP S/4HANA app for Microsoft Teams. Then we have Siddhartha Rabindran joining us to talk about the different storage options on Azure. Ranging from standard discs to Azure NetApp Files - not everything is certified and supported to run your productive workload on Azure. Sid provides us with a great overview and talks about the benefits of each offering. https://www.saponazurepodcast.de/episode129 Reach out to us for any feedback / questions: * Robert Boban: https://www.linkedin.com/in/rboban/ * Goran Condric: https://www.linkedin.com/in/gorancondric/ * Holger Bruchelt: https://www.linkedin.com/in/holger-bruchelt/ #SAPonAzure

(00:00) - Intro and catching up.(03:35) - Show content starts.Show links- GA: PostgreSQL 15 support in Azure Cosmos DB for PostgreSQL (Microsoft Learn)- GA: More free services for new Azure PAYG customers (Microsoft Azure)- Public preview: Go language support on Azure App Service (Azure Updates)- Updates to Azure Monitor logs (Microsoft Learn)- Public preview: Azure Bastion now support shareable links (Microsoft Learn)- A plan: IPv6 support for Microsoft Azure AD (Microsoft Learn)SPONSORThis episode is sponsored by Sovelto.We at Sovelto support your personal growth, keep your Azure skills up to date and increase your market value. Learn or expire: sovelto.fi/pro 

RE:INVENT NOTICE Jonathan, Ryan and Justin will be live streaming the major keynotes starting Monday Night, followed by Adam's keynote on Tuesday, Swami's keynote on Wednesday and Wrap up our Re:Invent coverage with Werner's keynote on Thursday. Tune into our live stream here on the site or via Twitch/Twitter, etc.  On The Cloud Pod this week, Amazon Time Sync is now available over the internet as a public NTP service, Amazon announces ECS Task Scale-in protection, and Private Marketplace is now in preview. Thank you to our sponsor, Foghorn Consulting, which provides top notch cloud and DevOps engineers to the world's most innovative companies. Initiatives stalled because you're having trouble hiring? Foghorn can be burning down your DevOps and Cloud backlogs as soon as next week. Episode Highlights ⏰ Amazon Time Sync is now available over the internet as a public NTP service. ⏰ Amazon announces ECS Task Scale-in protection. ⏰ Private Marketplace is now in preview. Top Quote

On The Cloud Pod this week, Amazon announces Neptune Serverless, Google introduces Google Blockchain Node Engine, and we get some cost management updates from Microsoft. Thank you to our sponsor, Foghorn Consulting, which provides top notch cloud and DevOps engineers to the world's most innovative companies. Initiatives stalled because you're having trouble hiring? Foghorn can be burning down your DevOps and Cloud backlogs as soon as next week. General News [1:24]

Azure Cosmos DB for PostgreSQL enables developers to build scalable PostgreSQL apps. Kirill Gavrylyuk and Charles Feddersen join Scott Hanselman to explain Distributed SQL PostgreSQL in Azure Cosmos DB. Chapters 00:00 - Introduction 02:12 - Azure Cosmos DB for PostgreSQL demo 09:36 - Demo loading data from Azure Storage and sharding 15:34 - Demo creating a replica for reduced latency 21:56 - Wrap-up Recommended resources Azure Cosmos DB for PostgreSQL Use Azure Cosmos DB for free Azure Cosmos DB for PostgreSQL | How it Works Create an Azure Cosmos DB for PostgreSQL cluster in the Azure portal Create a Pay-as-You-Go account (Azure) Create a free account (Azure) Connect Scott Hanselman | Twitter: @SHanselman Azure Friday | Twitter: @AzureFriday Azure Cosmos DB | Twitter: @AzureCosmosDB

Azure Cosmos DB for PostgreSQL enables developers to build scalable PostgreSQL apps. Kirill Gavrylyuk and Charles Feddersen join Scott Hanselman to explain Distributed SQL PostgreSQL in Azure Cosmos DB. Chapters 00:00 - Introduction 02:12 - Azure Cosmos DB for PostgreSQL demo 09:36 - Demo loading data from Azure Storage and sharding 15:34 - Demo creating a replica for reduced latency 21:56 - Wrap-up Recommended resources Azure Cosmos DB for PostgreSQL Use Azure Cosmos DB for free Azure Cosmos DB for PostgreSQL | How it Works Create an Azure Cosmos DB for PostgreSQL cluster in the Azure portal Create a Pay-as-You-Go account (Azure) Create a free account (Azure) Connect Scott Hanselman | Twitter: @SHanselman Azure Friday | Twitter: @AzureFriday Azure Cosmos DB | Twitter: @AzureCosmosDB

Estefani Arroyo joins Scott Hanselman to talk about and demo Azure Cosmos DB desktop tools for developing, querying, and testing your applications. The Azure Cosmos DB Linux Emulator provides a high-fidelity emulation of the Azure Cosmos DB service. The Azure Data Studio Cosmos DB API for Mongo DB extension enables you to connect to your Mongo resources and query your data using the mongo shell. Chapters 00:00 - Intro 01:03 - Emulator configuration options 02:20 - Emulator pre-requisites 04:36 - Adding certificates 07:20 - Azure Cosmos DB emulator 08:31 - Querying data 09:27 - Python sample app to try it 10:30 - Visualizing data with Azure Data Studio 12:26 - Mongo shell 15:13 - Wrap-up Recommended resources Install and use the Azure Cosmos DB Emulator for local development and testing Run the emulator on Docker for Linux (Preview) Quickstart: Use Azure Data Studio to connect and query Azure Cosmos DB API for MongoDB (Preview) Get Azure Data Studio Create a Pay-as-You-Go account (Azure) Create a free account (Azure) Connect Scott Hanselman | Twitter: @SHanselman Azure Friday | Twitter: @AzureFriday

Estefani Arroyo joins Scott Hanselman to talk about and demo Azure Cosmos DB desktop tools for developing, querying, and testing your applications. The Azure Cosmos DB Linux Emulator provides a high-fidelity emulation of the Azure Cosmos DB service. The Azure Data Studio Cosmos DB API for Mongo DB extension enables you to connect to your Mongo resources and query your data using the mongo shell. Chapters 00:00 - Intro 01:03 - Emulator configuration options 02:20 - Emulator pre-requisites 04:36 - Adding certificates 07:20 - Azure Cosmos DB emulator 08:31 - Querying data 09:27 - Python sample app to try it 10:30 - Visualizing data with Azure Data Studio 12:26 - Mongo shell 15:13 - Wrap-up Recommended resources Install and use the Azure Cosmos DB Emulator for local development and testing Run the emulator on Docker for Linux (Preview) Quickstart: Use Azure Data Studio to connect and query Azure Cosmos DB API for MongoDB (Preview) Get Azure Data Studio Create a Pay-as-You-Go account (Azure) Create a free account (Azure) Connect Scott Hanselman | Twitter: @SHanselman Azure Friday | Twitter: @AzureFriday

Build highly scalable applications using the distributed Postgres relational database in Azure Cosmos DB for PostgreSQL. See how it works with current Postgres tools, how to scale out with distributed tables and nodes to keep apps responsive, and how to eliminate latency with geo-replication capabilities for globally distributed apps. Cosmos DB has a variety of APIs, including native NoSQL and compatible APIs, targeted at NoSQL workloads. With the introduction of Postgres, Cosmos DB offers relational capabilities— a key cornerstone for application developers. With distributed Postgres in Cosmos DB, you can build highly scalable, cloud native apps using NoSQL and relational capabilities within a single managed service. Principal Group Program Manager, Charles Feddersen, from the Cosmos DB team joins Jeremy Chapman to walk you through the process. Join the Azure Cosmos DB team for all our announcements from Ignite 2022. Visit https://aka.ms/azurecosmosdbliftoff ► QUICK LINKS: 00:00 - Introduction 00:51 - Relational capabilities and scalability 01:46 - See it in action 02:48 - Connect code to cluster 05:20 - Scaling your application 07:49 - SaaS application example 11:05 - Geo-replication 13:21 - Wrap up ► Link References: Get started at https://aka.ms/trycosmosdb ► Unfamiliar with Microsoft Mechanics? As Microsoft's official video series for IT, you can watch and share valuable content and demos of current and upcoming tech from the people who build it at Microsoft. • Subscribe to our YouTube: https://www.youtube.com/c/MicrosoftMechanicsSeries?sub_confirmation=1 • Talk with other IT Pros, join us on the Microsoft Tech Community: https://techcommunity.microsoft.com/t5/microsoft-mechanics-blog/bg-p/MicrosoftMechanicsBlog • Watch or listen from anywhere, subscribe to our podcast: https://microsoftmechanics.libsyn.com/website • To get the newest tech for IT in your inbox, subscribe to our newsletter: https://www.getrevue.co/profile/msftmechanics ► Keep getting this insider knowledge, join us on social: • Follow us on Twitter: https://twitter.com/MSFTMechanics • Share knowledge on LinkedIn: https://www.linkedin.com/company/microsoft-mechanics/ • Enjoy us on Instagram: https://www.instagram.com/msftmechanics/ • Loosen up with us on TikTok: https://www.tiktok.com/@msftmechanics

James Tabor from the Azure CXP CRE (Customer Reliability Engineering) team shares how he improves team productivity by building Power Platform Apps and gives us tips and tricks to get us started on the same journey.   Media file: https://azpodcast.blob.core.windows.net/episodes/Episode437.mp3 YouTube: https://youtu.be/_t6BIh-9vHI   Other Updates: Public preview: Ephemeral OS disks supports host-based encryption using customer managed key | Azure updates | Microsoft Azure   Generally available: Live resize for Premium SSD and Standard SSD Disk Storage | Azure updates | Microsoft Azure     Elevate your visualizations with Azure Managed Grafana—now generally available https://azure.microsoft.com/en-us/blog/elevate-your-visualizations-with-azure-managed-grafana-now-generally-available/   Microsoft Cost Management updates – August 2022 https://azure.microsoft.com/en-us/blog/microsoft-cost-management-updates-august-2022/   Azure private MEC—A thriving partner ecosystem https://azure.microsoft.com/en-us/blog/azure-private-mec-a-thriving-partner-ecosystem/   Azure Virtual Machines with Ampere Altra Arm–based processors—generally available https://azure.microsoft.com/en-us/blog/azure-virtual-machines-with-ampere-altra-arm-based-processors-generally-available/     Azure Cosmos DB integrated cache | Microsoft Docs Public preview: App Configuration references for App Service and Azure Functions | Azure updates | Microsoft Azure   Generally available: Azure Functions extension for Event Grid blob trigger | Azure updates | Microsoft Azure

On The Cloud Pod this week, the team discusses Jonathan's penance for his failures. Plus: Microsoft makes moves on non-competes, NDAs, salary disclosures, and a civil rights audit; AWS modernizes mainframe applications for cloud deployment; and AWS CEO Adam Selipsky chooses to be intentionally paranoid. A big thanks to this week's sponsor, Foghorn Consulting, which provides full-stack cloud solutions with a focus on strategy, planning and execution for enterprises seeking to take advantage of the transformative capabilities of AWS, Google Cloud and Azure. This week's highlights

  Episode 243 Billy is a Senior Developer working @ Next PLC in the Warehouse & Distribution Systems Team.   Links https://twitter.com/billydev5 https://billy-mumby-dev.com/ https://github.com/mumby0168   Resources https://discord.com/invite/qMXrX4shAv https://mumby0168.github.io/cosmos-event-sourcing-docs/ https://ievangelist.github.io/azure-cosmos-dotnet-repository/ https://github.com/IEvangelist/azure-cosmos-dotnet-repository https://devblogs.microsoft.com/cosmosdb/azure-cosmos-db-repository-net-sdk-v-1-0-4/   Videos https://www.youtube.com/watch?v=izdnmBrTweA https://www.youtube.com/watch?v=_rsVwc4n8Ps   "Tempting Time" by Animals As Leaders used with permissions - All Rights Reserved × Subscribe now! Never miss a post, subscribe to The 6 Figure Developer Podcast! Are you interested in being a guest on The 6 Figure Developer Podcast? Click here to check availability!  

On The Cloud Pod this week, the team rediscovers who Ryan is after an eternity (a secret agent). Plus AWS Fargate now delivers faster scaling of applications; new features for Oracle Support Rewards; and Google Cloud Optimization AI: Cloud Fleet Routing API from GCP. A big thanks to this week's sponsor, Foghorn Consulting, which provides full-stack cloud solutions with a focus on strategy, planning and execution for enterprises seeking to take advantage of the transformative capabilities of AWS, Google Cloud and Azure. This week's highlights

We are fortunate to have Abhishek Tiwari, from the Azure Networking team, join us again on the podcast, this time to discuss the Front Door service. Media File: https://azpodcast.blob.core.windows.net/episodes/Episode419.mp3 YouTube: https://youtu.be/QrNMpugD4zA Resources: Front Door Announcement Updates: General availability: Bring your own IP ranges to Azure Public preview: Simplified compute node communication Public preview: Azure Bastion support for Kerberos authentication Public preview: Azure Arc integration with VMware vSphere and Azure VMware Solution Public preview: Azure Cosmos DB partition key advisor notebook Join us at the Innovate for Impact digital event

Learn how to use the new Azure Cosmos DB indexing metrics to improve query performance. Tim Sander shows Scott Hanselman how to obtain, interpret, and make changes based on the indexing metrics. Chapters 00:00 - Introduction 02:23 - Default indexing policy 04:18 - Optimizing for write performance 07:23 - Index metrics 09:32 - Composite indexes 16:42 - Roadmap insights 18:00 - Wrap-up Recommended resources Optimize query performance with Azure Cosmos DB indexing metrics Troubleshoot query issues when using Azure Cosmos DB New ways to use composite indexes in Azure Cosmos DB Indexing metrics in Azure Cosmos DB Connect Scott Hanselman | Twitter: @shanselman Tim Sander | Twitter: @_TimSander Azure Friday | Twitter: @AzureFriday

Learn how to use the new Azure Cosmos DB indexing metrics to improve query performance. Tim Sander shows Scott Hanselman how to obtain, interpret, and make changes based on the indexing metrics. Chapters 00:00 - Introduction 02:23 - Default indexing policy 04:18 - Optimizing for write performance 07:23 - Index metrics 09:32 - Composite indexes 16:42 - Roadmap insights 18:00 - Wrap-up Recommended resources Optimize query performance with Azure Cosmos DB indexing metrics Troubleshoot query issues when using Azure Cosmos DB New ways to use composite indexes in Azure Cosmos DB Indexing metrics in Azure Cosmos DB Connect Scott Hanselman | Twitter: @shanselman Tim Sander | Twitter: @_TimSander Azure Friday | Twitter: @AzureFriday

A big part of traditional DevRel has always been speaking in front of an audience. Whether at a virtual meetup or live at a large conference, it can be complicated to navigate coming up with an idea, building a talk, getting it accepted somewhere, and actually delivering the thing. We wanted to take a look at some of the tips, tricks, and things you need to know to be successful in finding your way to becoming a great DevRel speaker! Checkouts Kat Cosgrove * NONS SL660 (https://www.kickstarter.com/projects/nonscamera/sl660-interchangeable-lens-slr-analogue-instant-camera) Vicky Brasseur * Harvard Census II (https://derechodelared.com/wp-content/uploads/2022/03/LFResearch_Harvard_Census_II.pdf) * #YarnIsForEveryone (https://twitter.com/hashtag/YarnIsForEveryone) Jason Hand * DevOpsDays Rockies (https://devopsdays.org/events/2022-denver/welcome/) * Azure Cosmos DB conf (https://www.gotcosmos.com/conf) PJ Hagerty * American Beauty/Innerlove split 7” (https://www.stereogum.com/2151217/american-beauty-stage-fright-innerlove-murder/music/) * Wikipedia Devrel page (https://en.wikipedia.org/wiki/Developer_relations) Photo by Kane Reinholdtsen (https://unsplash.com/@kanereinholdtsen) on Unsplash (https://unsplash.com/@kanereinholdtsen) Enjoy the podcast? Please take a few moments to leave us a review on iTunes (https://itunes.apple.com/us/podcast/community-pulse/id1218368182?mt=2) and follow us on Spotify (https://open.spotify.com/show/3I7g5WfMSgpWu38zZMjet?si=565TMb81SaWwrJYbAIeOxQ), or leave a review on one of the other many podcasting sites that we're on! Your support means a lot to us and helps us continue to produce episodes every month. Like all things Community, this too takes a village. Special Guests: Kat Cosgrove and VM (Vicky) Brasseur.

On The Cloud Pod this week, the team heads down a Cisco business model rabbithole. Plus cloud status pages struggle with reality, AWS is tracking carbon footprints, and Microsoft sees serious security business growth with Defender.  A big thanks to this week's sponsor, Foghorn Consulting, which provides full-stack cloud solutions with a focus on strategy, planning and execution for enterprises seeking to take advantage of the transformative capabilities of AWS, Google Cloud and Azure. This week's highlights

Matias Quaranta joins Scott Hanselman to show how the updated Azure Cosmos DB extension for Azure Functions uses the latest Azure Cosmos DB .NET SDK to add support for Azure AD authentication. Dispense with connection strings required, improve performance, and get support for custom serialization. Chapters 00:00 - Introduction 01:31 - Identity-based connections with managed identities 09:50 - Performance improvements 12:15 - Custom serialization 13:59 - Wrap-up Recommended resources Azure Functions developer guide Built-in role definitions Azure Cosmos DB trigger for Azure Functions Create a free account (Azure) Connect Scott Hanselman | Twitter: @shanselman Matias Quaranta | Twitter: @ealsur Azure Friday | Twitter: @azurefriday

Matias Quaranta joins Scott Hanselman to show how the updated Azure Cosmos DB extension for Azure Functions uses the latest Azure Cosmos DB .NET SDK to add support for Azure AD authentication. Dispense with connection strings required, improve performance, and get support for custom serialization. Chapters 00:00 - Introduction 01:31 - Identity-based connections with managed identities 09:50 - Performance improvements 12:15 - Custom serialization 13:59 - Wrap-up Recommended resources Azure Functions developer guide Built-in role definitions Azure Cosmos DB trigger for Azure Functions Create a free account (Azure) Connect Scott Hanselman | Twitter: @shanselman Matias Quaranta | Twitter: @ealsur Azure Friday | Twitter: @azurefriday

Kirill Gavrylyuk, Matias Quaranta, Deborah Chen, and Estefani Arroyo join Scott Hanselman to provide another set of updates for Azure Cosmos DB.  Learn about: using Azure Cosmos DB as a Session State Provider for ASP.NET Core; the latest updates for Azure Cosmos DB free tier; how to optimize cost and performance by scaling the throughput (RU/s) of your database or container automatically and instantly; and the great new monitoring and diagnostic features that make it even easier to monitor and debug your Azure Cosmos DB resources using insights, workbooks and logs.[0:00:00]– Introduction with Kirill Gavrylyuk[0:01:56]– Session state provider with Matias Quaranta[0:10:32]– Free tier with Deborah Chen[0:12:57]– Autoscale with Deborah Chen[0:25:18]– Monitoring and Diagnostics with Estefani Arroyo[0:33:21]– Wrap-upMicrosoft Caching Extension using Azure Cosmos DB (GitHub)Azure Cosmos DB free tierCreate Azure Cosmos containers and databases with autoscale throughputProvision autoscale throughput on database or container in Azure Cosmos DB - SQL APIHow to choose between standard (manual) and autoscale provisioned throughputMonitor Azure Cosmos DB data by using diagnostic settings in AzureMonitor and debug with insights in Azure Cosmos DBWork with NoSQL data in Azure Cosmos DB learning pathCreate a free account (Azure)

Kirill Gavrylyuk and friends join Scott Hanselman to discuss Azure Cosmos DB updates: integrated cache, serverless for MongoDB API, and Managed Instance for Apache Cassandra with dual write proxy.[0:00:00]– Opening[0:01:33]– Integrated cache with Tim Sander[0:17:36]– Serverless for MongoDB API with Gahl Levy[0:24:00]– Managed Instance for Apache Cassandra with Theo van Kraay[0:37:35]– Wrap-upHow to configure the Azure Cosmos DB integrated cache (Preview)Azure Cosmos DB serverlessAzure Managed Instance for Apache Cassandra documentationGitHub - Azure-Samples / cassandra-proxyLearning path: Work with NoSQL data in Azure Cosmos DBCreate a free account (Azure)