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Leveraging Serverless and Generative AI for Image Captioning on GCP

Xebia

In my recent endeavor, I explored a seamless integration of serverless architecture with the power of generative AI to auto-caption images on Google Cloud Platform (GCP). A Pub/Sub topic detects this upload and notifies our main Python Cloud Function. The result? In our setup, this is where the image captions are stored.

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Unlocking the Power of AI with a Real-Time Data Strategy

CIO

To succeed with real-time AI, data ecosystems need to excel at handling fast-moving streams of events, operational data, and machine learning models to leverage insights and automate decision-making. report they have a data-driven organization 39.7% report they have a data-driven organization 39.7%

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The Good and the Bad of Apache Kafka Streaming Platform

Altexsoft

But to understand why Kafka is omnipresent we have to look at how it works — in other words, to get familiar with its concepts and architecture. Kafka architecture. Let’s start with an asynchronous communication pattern Kafka revolves around — publish/subscribe or simply Pub/Sub. Kafka cluster architecture.

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Communication Between Loosely Coupled Microservices?—?Webinar FAQ

Bernd Rucker

As community questions are really important to me I want to follow my tradition to answer remaining questions in a blog post (as I have for example also done roughly a year ago in “ Webinar FAQ for Monitoring & Orchestrating Your Microservices Landscape using Workflow Automation ”). Microservices can react to events.

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Cellular Automata Using Rust: Part II

Xebia

In this post, the second of the three-part series, we describe the theory underlying entity-component-system (ECS) architecture, how the Bevy game engine operationalizes this into practice, how to set up and streamline Bevy for cross-platform development, and how to build a static user interface using Bevy. add_systems(Startup, add_camera).add_systems(Startup,

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Making Sense of IoT Platforms: AWS vs Azure vs Google vs IBM vs Cisco

Altexsoft

IoT architecture layers. AWS IoT Events is designed to identify complicated changes in equipment behaviour across thousands of devices and react to them based on predefined rules. Source: Cisco Blogs. It publishes data streams to Cloud Pub/Sub service that allows for merging messages from different sources into a single system.

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Scylla and Confluent Integration for IoT Deployments

Confluent

In light of this, we’ll share an emerging machine-to-machine (M2M) architecture pattern in which MQTT, Apache Kafka ® , and Scylla all work together to provide an end-to-end IoT solution. An end-to-end architecture for the Internet of Things. We’ll also provide demo code so you can try it out for yourself. What is Apache Kafka?

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