Patrick Chanezon

With MongoDB, we help engineering leaders get off the modernization hamster wheel and embrace predictable, optimised spending that fuels their most ambitious initiatives. With powerful features like automated cluster sizing, on-demand pausing, and granular spend visibility, MongoDB Atlas helps you right-size your data infrastructure and take complete control of your IT costs. Perfect way to break free from the constraints of economic uncertainty and get easier budget approvals. This blog helps you understand how MongoDB Atlas can help you take better control of your data costs. #MongoDB #cloud #innovation

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AI is revolutionizing the way we build and scale applications, driving innovation at an unprecedented pace. But at the heart of every AI solution is data—and the demands on data quality, security, and real-time access have never been higher. With Confluent Cloud, you can seamlessly stream, connect, and process your data across Microsoft Azure and multicloud environments, giving you the power to unlock AI-driven use cases faster and more efficiently. Ready to accelerate your AI journey? Explore Confluent Cloud on the Microsoft Marketplace today ⬇️ #AzureAI

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How to get started in Confluent Cloud? Dan Weston gives us a tour of the Confluent Cloud interface and shows us how to set up your first cluster. Watch and learn ⬇️ Try it yourself for free! Start with $400 in free credits. Use NEWUSERPROMO50 by November 30th for an extra $50.  https://cnfl.io/3UxwXpO

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This is incredible news for Amazon Kinesis Data Streams On-Demand users! KDS On-Demand now allows writing up to 10 GB/s, a significant 5x enhancement! The most remarkable aspect is that there is no action required to leverage this feature. #Kinesis #data #BigData #streamingdata #Datastreaming #ondemand #AWS Link: https://lnkd.in/gdm_FXrU

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From AWS and Microsoft Azure to Altair, MongoDB and Dynatrace, CRN lists 20 cloud AI companies you need to know about in 2024. Check it out, here.

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Today, Nexla joins the Connect with Confluent partner program! Start building Kafka streaming flows today with no-code, and use Nexla to connect any real-time or batch data in any format to Confluent streaming applications. Learn more about our integration with Confluent: https://lnkd.in/gnBvPSrG

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.@Amazon Web Services Evolves SageMaker into a Unified Data Platform Centered On AI https://buff.ly/4ilfcnT @DHenschen shares the key takeaways from the Amazon SageMaker announcement from @AWSreInvent. #reInvent @awscloud

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Each phase of an #AI pipeline has different storage requirements. Learn about the data size, access requirements & recommended type of storage for each AI phase in part 1 of our guide to storage for AI: https://eqix.it/45Erly5  

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This is a must see - 5mins of clear articulation of how and why Google Cloud differentiates in #GenAI with an unique approach and strategy relative to competitive #hyperscalers https://lnkd.in/gywMw7Dp

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Introducing new Self-Service features, Topics and Topic Policies. Self-service is key to scaling Kafka in your organization, fostering collaboration and eliminating operational bottlenecks. Application teams can now fully manage their Topic lifecycle with an infrastructure as code approach 💻 While Platform teams keep control with Topic Policies - restricting misconfigurations and enforcing best practices 🔐 See what else is new in Conduktor. Link in the comments. #kafka #conduktor #productupdate

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Ever wonder what the Confluent Cloud interface looks like, or how to effectively manage it? Look no further! Get an overview with Dan Weston in this video and learn how to create your #ApacheKafka cluster on the Cloud. ⬇️

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Learn how Run:ai on #OCI can help organizations scale their #AI capabilities without corresponding increases in operational complexities or costs. https://lnkd.in/dmF4FKkq #AI #Kubernetes

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Whether you're handling millions of requests per second, managing live chats, or running a high-speed leaderboard, Redis operates entirely in memory, making it incredibly fast. 🚀 Redis excels in real-time performance and in-memory operations for blazing-fast caching, messaging, and more. But Redis is just the beginning! 🌊 In my latest video, I explore 6 other lesser-known databases that can transform your projects, from handling complex relationships to AI-driven vector searches. Don't limit your tech stack—discover these powerful tools. Check out the video here: https://lnkd.in/dE7_dP_A #Databases #UncommonDatabases #Redis #ArjanCodes

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great post sharing our blogpost on fine tuning Claude 3 Haiku!

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HNSW Vector Index: Now Generally Available! #AzureCosmosDB for #MongoDB proudly introduces the general availability of the HNSW Vector Index, a leap forward in AI-driven database capabilities. https://lnkd.in/eWafQcgi

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