Michael Antonio

This is a big deal for using AI in production - Claude 3.5 Sonnet and 3 Haiku are now available in more regions. us-west-2 tends to get new AI stuff first, and it is great to see these 2 models now more geographically available. https://lnkd.in/gvQkMQbX

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🚀 Exciting news in the Rust and AWS communities! 🚀 On June 8th, Werner Vogels announced **distill CLI**, an efficient, Rust-powered tool for media summarization. 📜🔧 Check out his blog for more details: [Introducing Distill CLI](https://lnkd.in/dfUT4cmf) Notably, companies like Discord and Figma have achieved remarkable performance improvements by adopting Rust. Discord moved their Read States service from Go to Rust, resulting in a 10x speed increase and nearly 100x reduction in worst tail latencies. Similarly, Figma rewrote performance-sensitive parts of their multiplayer service in Rust, seeing a 6x reduction in peak average CPU usage per machine. 🌟💪 AWS is also embracing Rust with the general availability of Cargo support in CodeArtifact, enabling the storage of Rust libraries (crates) in CodeArtifact. 📦✨ More info: [AWS CodeArtifact and Cargo Support](https://lnkd.in/dYY_fgtU) As more customers leverage Rust for their critical workloads, AWS is providing robust building blocks. AWS Lambda, for instance, can now process HTTP events more efficiently with Rust. 🚀⚡️ Learn more here: [Rust HTTP Events in AWS Lambda](https://lnkd.in/diubf8bM) #RustLang #AWS #Serverless #Performance #CloudComputing #Innovation #TechNews #CodeArtifact #DistillCLI

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AI leaders have a crucial chance to address risks now and strengthen governance practices before playing catch-up to regulations, notes Kjell Carlsson, Ph.D. of Domino Data Lab. In a recent VentureBeat article, he shares his perspective on California's AI bill veto and why proactive governance is key to the future of AI innovation. Learn more about this addressing this opportunity: https://gag.gl/4WCTkP #AI #AIGovernance #AIInnovation #DataScience

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Whether or not you attended my talks at the last PostgreSQL Conference in Seattle, I am making all of my notes for "Tips and Tricks for Developers Moving to PostgreSQL" available for everyone. I hope you find them helpful! Tips and Tricks for developers moving to PostgreSQL: https://lnkd.in/gTXnV6tU

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Microservices get a bad rap due to complexity and high TCO. A lot of that is because a microservice-based application works the same way as a bunch of dominoes falling. If one misses, or falls out of order, the whole workflow stops. And you have no control over the process once your microservices start ping-ponging events and RPC's back and forth. That's why #microservices are so expensive to manage. Great blog post below by Colt McNealy about how LittleHorse can solve those problems. Give it a read. https://lnkd.in/gJECBwRu

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Redshift now supports streaming data directly from your Confluent topics into a Redshift materialized view. https://lnkd.in/gCQVZvZC https://lnkd.in/ghZqMbeU

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For those interested in how cloud scale database systems work, below is a deep dive on Amazon MemoryDB. MemoryDB delivers microsecond-level read latencies, and throughput in the hundreds of millions of queries per second, while offering multi-AZ durability with automatic failover.

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Thrilled to share our latest blog from OCI Data Science Team! In this post, we walk through how we built a state-of-the-art enterprise chatbot using the cutting-edge capabilities of OCI Data Science, Oracle Database 23ai, and Oracle Digital Assistant, backed by LLM models with the LangChain pipeline for RAG. From foundational AI models to creating a seamless conversational experience, this blog covers it all. Special thanks to Piyush Gajjariya (Thacker), Tzvi Keisar, Ashutosh Kumar Jha and SriRanjith R from OCI Data Science. Check it out here: [https://lnkd.in/dAudXG4J] #AI #Chatbots #OCIDatascience #EnterpriseAI #Oracle, #OCI, #oracle_database_23ai, #oda, #langchain, #rag, #LLM

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I wrote a piece on consuming AWS S3 events with Knative and Apache Camel K in an on-premise world: https://lnkd.in/evpa4GAQ

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A really nice read from Sai Maddali on the benefits of Tiered Storage with Amazon MSK. https://lnkd.in/gGNJ5nyt #ApacheKafka #Kafka #AWS #MSK #tieredstorage #streaming #storage

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This opens up a lot of interesting possibilities for new and easy ways to do ETL, big-ish data processing and analytics #aws #s3 #etl #data

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Learn how to access Anthropic Claude Sonnet on Vertex AI model garden. Quick lab shows you have easy it is to get up an running and also how to connect privately from you VM to the Vertex API. #ai #anthropic #vertex #psc #networking

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Have you ever wondered about "what if" scenarios? Have you ever done it at scale, where any given "what if" affect the other in complex systems? Take a look how it can be done with the Agent-Based Modeling (ABM) technology and get amused with what could be done!

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Object storage direct-write Kafka topics are coming to Confluent. In data system design, cost is a kind of unstoppable force that rewrites architectures every decade or so, and that is happening right now for high-volume streams. https://lnkd.in/dHRFnrMB

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Azure Cosmos DB Mongo vCore just made a big update! The HNSW vector index type have gone GA, allowing for more efficient and accurate similarity search. IVFFlat divides vectors into multiple lists and assigns them to their nearest centroid, while HNSW creates a graph with each node as a vector for proximity layers. Make sure to select the right index type for your needs. Check out the https://lnkd.in/eiBFGrtZ for more details! #Azure #cosmosdb #mongo #HNSW #vector #index #GenerativeAI #OpenAI

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