Kin Lane

Agents for Amazon Bedrock support memory retention and code interpretation - now in preview. Dynamically generate code and run code snippets and enable your agents to learn and adapt over time. #AWSome #GenAI #AmazonBedrock https://lnkd.in/gAj2N9q4

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Accelerate your Oracle to PostgreSQL migrations with DMS! Google Cloud Next '24 brings Gemini AI for code/schema conversions + explanations. Simplify the process, save time, & empower your devs. #GoogleCloudNext #Oracle #PostgreSQL #DMS

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Scale at ease, Lower cost & Future proof

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The #AWS Summit in New York City was the scene for a multitude of AWS announcements -- Amazon Q Developer updates, a plethora of new features for Amazon Bedrock, Amazon Q Apps, AWS App Studio, Vector search for Amazon MemoryDB, and new power for AWS Glue Studio. Read this post to learn more and to access detailed posts for each launch: https://lnkd.in/g-W9a6-R

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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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My newest blog post describes how we still work to improve the performance, security, and internal efficiency of the very first #AWS service: "Optimizing Amazon Simple Queue Service (SQS) for speed and scale" - https://lnkd.in/gjjk76Bn

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https://lnkd.in/ebRMV6pu Architectural Retrospectives are a key practice for teams to enhance their architectural decision-making processes. Unlike Architectural Reviews, which focus on the architecture's quality, Retrospectives examine how the team arrived at their decisions, aiming to identify and improve upon biases and inefficiencies in their approach. Regularly conducted retrospectives can lead to better team skills, more effective feedback utilization, and ultimately, superior architectural solutions. The process encourages teams to learn from their experiences, challenge assumptions, and evolve their architectural practices in an agile and continuous manner 

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Get to know Gemini in Databases: an #AI-powered assistant that helps across all stages of the database journey and simplifies all aspects of database operations with features like Database Insights, Database Migration Service, and more. #GoogleCloudNext

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Registration for #APISummit24 by Kong Inc. is about to close! RSVP now so you don’t miss out on lessons from some of the world’s most notable API practitioners and AI innovators. This global event will explore the convergence of AI and API tech and cut through the noise to provide real-world lessons for your organization. ⏰ The clock is ticking! 🦍 #KongPin #AI #API #TechEvent

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The USPTO team integrated Sonatype solutions and revolutionized their approach to software development. By automating the critical aspects of the #softwaredevelopmentlifecycle, they’re not just keeping pace with technology—but leading the charge in IT innovation. Curious about their journey and how we're tackling challenges with #opensource dependencies head-on? Dive into our story 👉 https://bit.ly/4aSrCz2

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AI next frontier is possibly developing and scaling the reasoning layer, where AI systems possess hard problem-solving and higher order cognitive intelligence. Came across this good article from Sequoia.

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Customers are using Amazon Managed Service for Apache Flink to process data in real-time. Data streaming enables generative AI to take advantage of real-time data and provide businesses with rapid insights. This post looks at how to integrate generative AI capabilities when implementing a streaming architecture on #AWS. https://lnkd.in/g9wezHvt #Streaming #Data #StreamingData #DataStreaming #Kinesis #ApacheFlink #Flink #Bedrock

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Kind of partial to #1 and #3. #agenticai #spatialcomputing https://lnkd.in/eSgvEuE6

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Really fun conversation with Joe Reis 🤓 on a variety of topics across the evolution in data architecture patterns, open table formats, the growing preference for object stores and data lakehouses. And of course the fun bits and challenges of building a company in the data infrastructure space. I've always enjoyed Joe's informal, no nonsense, common sense approach to making sense of the data world and was super kicked to have this conversation! #dataengineering #datalake Apache Iceberg Apache Hudi Delta Lake Apache XTable (Incubating)

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Incredibly proud of the latest Kinesis Client Library version (3.0) which, when compared to previous KCL versions, reduces compute costs by up to 33%. KCL 3.0 introduces an enhanced load balancing algorithm that continuously monitors resource utilization of the stream processing workers and automatically redistributes the load from over-utilized workers to other underutilized workers. This ensures even CPU utilization across workers and removes the need to over-provision the stream processing compute workers which reduces cost. Additionally, KCL 3.0 is built with the AWS SDK for Java 2.x for improved performance and security features, fully removing the dependency on the AWS SDK for Java 1.x. #Kinesis #DataStreaming #KCL

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