Remove IoT Remove Load Balancer Remove Scalability
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Build and deploy a UI for your generative AI applications with AWS and Python

AWS Machine Learning - AI

The custom header value is a security token that CloudFront uses to authenticate on the load balancer. By using Streamlit and AWS services, data scientists can focus on their core expertise while still delivering secure, scalable, and accessible applications to business users. Choose a different stack name for each application.

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Internet of Things (IoT) and Event Streaming at Scale with Apache Kafka and MQTT

Confluent

The Internet of Things (IoT) is getting more and more traction as valuable use cases come to light. Confluent MQTT Proxy , which ingests data from IoT devices without needing a MQTT broker. Use cases for IoT technologies and an event streaming platform. Use cases for IoT technologies and an event streaming platform.

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AWS vs. Azure vs. Google Cloud: Comparing Cloud Platforms

Kaseya

The public cloud infrastructure is heavily based on virtualization technologies to provide efficient, scalable computing power and storage. Cloud adoption also provides businesses with flexibility and scalability by not restricting them to the physical limitations of on-premises servers. Scalability and Elasticity.

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Enhance conversational AI with advanced routing techniques with Amazon Bedrock

AWS Machine Learning - AI

They provide a strategic advantage for developers and organizations by simplifying infrastructure management, enhancing scalability, improving security, and reducing undifferentiated heavy lifting. This function initiates a process that sends commands to the IoT device. on Amazon Bedrock.

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Build Hybrid Data Pipelines and Enable Universal Connectivity With CDF-PC Inbound Connections

Cloudera

In the second blog of the Universal Data Distribution blog series , we explored how Cloudera DataFlow for the Public Cloud (CDF-PC) can help you implement use cases like data lakehouse and data warehouse ingest, cybersecurity, and log optimization, as well as IoT and streaming data collection. It also configures NiFi accordingly.

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Create a generative AI–powered custom Google Chat application using Amazon Bedrock

AWS Machine Learning - AI

Performance optimization The serverless architecture used in this post provides a scalable solution out of the box. You can also fine-tune your choice of Amazon Bedrock model to balance accuracy and speed. As your user base grows or if you have specific performance requirements, there are several ways to further optimize performance.

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Streaming Edge Data Collection and Global Data Distribution

Cloudera

From origin through all points of consumption both on-prem and in the cloud, all data flows need to be controlled in a simple, secure, universal, scalable, and cost-effective way. Ingesting all device and application logs into your SIEM solution is not a scalable approach from a cost and performance perspective. Getting started.

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