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Build a multi-tenant generative AI environment for your enterprise on AWS

AWS Machine Learning - AI

It also uses a number of other AWS services such as Amazon API Gateway , AWS Lambda , and Amazon SageMaker. Load balancer – Another option is to use a load balancer that exposes an HTTPS endpoint and routes the request to the orchestrator. API Gateway also provides a WebSocket API.

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Enhance conversational AI with advanced routing techniques with Amazon Bedrock

AWS Machine Learning - AI

Conversational artificial intelligence (AI) assistants are engineered to provide precise, real-time responses through intelligent routing of queries to the most suitable AI functions. For direct device actions like start, stop, or reboot, we use the action-on-device action group, which invokes a Lambda function.

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AWS Lambda Versioning and Aliases

Linux Academy

The course has three new sections (and Lambda Versioning and Aliases plays an important part in the Lambda section): Deployment Pipelines. AWS Lambda, and. AWS Lambda and Serverless Concepts. Now to be clear, it is not Lambda’s sole purpose to work with CloudFormation, but it is certainly a common use case.

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

Kaseya

In addition, you can also take advantage of the reliability of multiple cloud data centers as well as responsive and customizable load balancing that evolves with your changing demands. Since your VMs will always be up and running, the Google Cloud engineers are better equipped to resolve updating and patching issues more efficiently.

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9 Best Free Node.js Hosting 2023

The Crazy Programmer

Try Render Vercel Earlier known as Zeit, the Vercel app acts as the top layer of AWS Lambda which will make running your applications easy. With the Google App Engine, developers can focus more on writing down code without worrying about managing its underlying infrastructure. It is simple to start with the App Engine guide.

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Quickly Turn ALB/ELB Status Codes into an Issue-Seeking Heatmap

Honeycomb

Explore logs in a new and faster way, using Honeycomb’s query engine. The example below uses an AWS account, ALB/ELB, S3, and a Lambda to send log data to Honeycomb. For this setup, we are going to use an Application Load Balancer (ALB). Additionally, we’ll need to make sure our Lambda function is associated with our S3.

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What Is a Telemetry Pipeline?

Honeycomb

We use Amazon’s Application Load Balancer (ALB), but it’s similar with other load balancing technology. We want you to avoid bad experiences caused by over-engineered telemetry pipelines. The overall recommendation is to keep it as simple as you can since your time is valuable.