Remove Load Balancer Remove Metrics Remove Serverless
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Build a multi-tenant generative AI environment for your enterprise on AWS

AWS Machine Learning - AI

API Gateway is serverless and hence automatically scales with traffic. Load balancer – Another option is to use a load balancer that exposes an HTTPS endpoint and routes the request to the orchestrator. You can use AWS services such as Application Load Balancer to implement this approach.

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Revolutionizing customer service: MaestroQA’s integration with Amazon Bedrock for actionable insight

AWS Machine Learning - AI

MaestroQA also offers a logic/keyword-based rules engine for classifying customer interactions based on other factors such as timing or process steps including metrics like Average Handle Time (AHT), compliance or process checks, and SLA adherence. Success metrics The early results have been remarkable.

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Creating Your Own Serverless Cloud with Fn Project

Gorilla Logic

In this Fn Project tutorial, you will learn the basic features of Fn Project by creating a serverless cloud and installing it on your own infrastructure. This will illustrate some of the most useful concepts of Fn Project and help you get familiarized with this lightweight and simple serverless platform. . What is Serverless? .

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Cybersecurity Snapshot: Insights on Hive Ransomware, Supply Chain Security, Risk Metrics, Cloud Security

Tenable

Get the latest on the Hive RaaS threat; the importance of metrics and risk analysis; cloud security’s top threats; supply chain security advice for software buyers; and more! . But to truly map cybersecurity efforts to business objectives, you’ll need what CompTIA calls “an organizational risk approach to metrics.”.

Metrics 52
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The AWS Cloud Migration Checklist Every Business Needs for a Smooth Transition

Mobilunity

Decompose these into quantifiable KPIs to direct the project, utilizing metrics like migration duration, savings on costs, and enhancements in performance. This could entail decomposing monolithic applications into microservices or employing serverless technologies to improve scalability, performance, and resilience.

AWS 52
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Cloudera DataFlow Designer: The Key to Agile Data Pipeline Development

Cloudera

When a draft is ready to be deployed in production, it is published to the Catalog, and can be productionalized with serverless DataFlow Functions for event-driven, micro-bursty use cases or auto-scaling DataFlow Deployments for low latency, high throughput use cases.

Agile 84
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Journey to Event Driven – Part 2: Programming Models for the Event-Driven Architecture

Confluent

Classic microservice concerns such as service discovery, load balancing, online-offline or anything else are solved natively by event streaming platform protocol. You not only monitor the happy path but also track all other aspects like error handling with dead letter queues, business metrics and flow metrics.