Remove topics server-sent-events
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Getting started with Kafka client metrics

IBM Journey to AI blog

Apache Kafka stands as a widely recognized open source event store and stream processing platform. With Kafka, monitoring typically involves various metrics that are related to topics, partitions, brokers and consumer groups. In addition, the Event Streams service supports a rich set of metrics produced by the server.

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Real-Time Sentiment Analysis with Kafka and PySpark

Towards AI

This action will be stored and sent back to the system. Apache Kafka Apache Kafka is a distributed event streaming platform used for building real-time data pipelines and streaming applications. Let's take a better look at the key components: Producers: They publish/push records to Kafka topics.

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Promote pipelines in a multi-environment setup using Amazon SageMaker Model Registry, HashiCorp Terraform, GitHub, and Jenkins CI/CD

AWS Machine Learning Blog

Infrastructure as code – The infrastructure as code (IaC), created using HashiCorp Terraform , supports the scheduling of the inference pipeline with EventBridge, triggering of the train pipeline based on an EventBridge rule and sending notifications using Amazon Simple Notification Service (Amazon SNS) topics.

AWS 99
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Reinventing a cloud-native federated learning architecture on AWS

AWS Machine Learning Blog

FL increases the amount of data available for training ML models, especially data associated with rare and new events, resulting in a more general ML model. Overview of federated learning FL typically involves a central FL server and a group of clients. Existing partner open-source FL solutions on AWS include FedML and NVIDIA FLARE.

AWS 92
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MLOps for IoT Edge Ecosystems: Building an MLOps Environment on AWS

The MLOps Blog

Moreover, this role needs to be granted the proper rights and permissions to create, for example, rules for events, Lambdas, layers, and logs. After assembling a workflow, the lambda function that is invoked by the event will pass the workflows repository and tell the SageMaker notebook which script or notebook needs to be executed.

AWS 52
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Build an image search engine with Amazon Kendra and Amazon Rekognition

AWS Machine Learning Blog

Understanding the nuances between search queries for similar topics is important to provide relevant results and minimize the effort required from the user to manually sort through results. First, the diagrams inserted into DynamoDB create a Put event via Amazon DynamoDB Streams.

AWS 101
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GraphQL vs. REST API: What’s the difference?

IBM Journey to AI blog

REST Developed in the early 2000s, REST is a structured architectural style for networked hypermedia applications, which is designed to use a stateless, client/server, cacheable communication protocol. When the client requests a resource, the server processes the query and returns all the data that is associated with that resource.