Xiang Shen

Oracle today announced the general availability of HeatWave #GenAI, including in-database LLMs, an automated in-database vector store, and the ability to have human-like contextual conversations in natural language. https://lnkd.in/gK-Q44gc

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New Episode: 260: Amazon Dispatches AWS CEO Adam Selipsky with Prime 2-day delivery Episode 260 of The Cloud Pod podcast, bringing you all the latest news from Cloud and AI including AWS, Azure, Google, OCI, GPT-4.o, C7i-flex, AWS CEO Changes and Amazon Polly #aws #gcp #azure #cloud #cloudpodcast #podcast

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Amazon RDS Multi-AZ deployment with two readable standbys supports 6 additional AWS Regions Three-node Multi-AZ DB Cluster is now available in Asia Pacific (Hyderabad), Asia Pacific (Melbourne), Europe (Spain), Europe (Zurich), Middle East (UAE), and Israel (Tel Aviv) Regions. This deployment option supports minor version upgrades and system maintenance updates with typically less than one second of downtime when using Amazon RDS Proxy or any one of the open-source AWS Advanced JDBC Driver, PgBouncer, or ProxySQL. https://lnkd.in/g9D9RGVB #Amazon #RDS #PostgreSQL #MySQL

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Accelerate your cloud journey with our new generative AI assistant on AWS re:Post https://repost.aws/. Collaborate with re:Post Agent and community experts to build your cloud workloads with confidence. #AWSrePost #GenerativeAIAssistant #CloudDevelopment 🤖💡🚀

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Cloud adoption comes with challenges: data sovereignty, compliance, and low latency. Google Distributed Cloud offers a managed solution with flexible deployment options, including air-gapped environments. Learn about GDC at #GoogleCloudNext.

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Simple be effective analogy included!

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When working with Amazon MSK, developers are interested in accessing the service locally. This allows developers to test their application with a Kafka cluster that has the same configuration as production and provides an identical infrastructure to the actual environment without needing to run Kafka locally. This post presents a practical approach to accessing your Amazon MSK environment for development purposes through a bastion host using a Secure Shell (SSH) tunnel (a commonly used secure connection method). Whether you’re working with Amazon MSK Serverless, where public access is unavailable, or with provisioned MSK clusters that are intentionally kept private, this post guides you through the steps to establish a secure connection and seamlessly integrate your local development environment with your MSK resources. https://lnkd.in/g4yiF3yH #MSK #serverless #ApacheKafka #testing

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Here's the Part 2 of the series of blogs on how we are modernizing Uber's batch data lake: Enabling Security for Hadoop Data Lake on Google Cloud Storage [Part 1: https://lnkd.in/esyhMSSg]

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We’re excited to announce vector search on both the new Memorystore for Valkey and Memorystore for Redis Cluster, combining 1) ultra-low latency in-memory vector search, with 2) zero-downtime scalability (in or out), and 3) powerful high performance vector search across millions or billions of vectors. #databases #valkey #redis Google Cloud

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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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Great blog post written by Felix Wu specifically addressing SaaS - multi-tenant applications. Maintaining secure data segregation can be difficult when administering a centralised PostgreSQL® database for several clients in the context of multi-tenant Software-as-a-Service (SaaS) applications. Even if a single database can save infrastructure costs, it becomes important to make sure that every organisation has separate access to and control over its data. In order to break through these constraints and enable safe and effective multi-tenant analytics for your PostgreSQL® deployments, this blog article presents a revolutionary solution.

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Oracle Cloud Native Environment Release 1.9 supports Kubernetes 1.29. Learn what else is new and how you can use it to deploy your containerized applications across clouds and on-premises. https://lnkd.in/gEePKuXY

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Learn how to deploy fine-tuned #LLM inference containers on #OKE, an #OCI managed #Kubernetes service that simplifies deployments and operations at scale for enterprises. https://lnkd.in/eSnkkSX9

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Steph Gooch recently released a great article about Spring Cleaning your AWS Costs. Her article was great, and emphasizes removing idle resources (S3 buckets, EBS snapshots), and creating a prioritized list. 👇 Rahul Subramaniam and myself discussed it on our stream last week: https://lnkd.in/g885fzVC Steph's article: https://lnkd.in/gJHCs2Mk At CloudFix, we have automated finder/fixers for most of the points that Steph brought up. - Enable S3 Intelligent Tiering - https://lnkd.in/g3pkkZvq - Get rid of unused AMIs and EBS volumes - https://lnkd.in/g6Swa-xU - RDS Multi-AZ Deployments that could be Single AZ - https://lnkd.in/gACUrhB3 - Move managed services to graviton - https://lnkd.in/gfbh7v7Z & https://lnkd.in/g3qeQ-5q If you need to do spring cleaning in your AWS account, consider CloudFix your Roomba - always looking for bits to clean up so you can spend your time doing something else (like migrating to serverless or deploying AI)! #aws #costoptimization

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Customers often ask if Amazon Q Developer is only for Amazon Web Services (AWS) workloads. The short answer is no. Our developer platform can add value to your on-premises development and multi-cloud needs, regardless of your platform. Our partners at Heroku have a great use case for this. Check out their blog post on how the Amazon Q Developer / Heroku integration simplifies their customer workflows.

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