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For this, you will need authentication and authorization. Authentication vs Authorization Authentication is all about identifying who you are. I am using an Application LoadBalancer to invoke a Lambda function. In this case, we can use the native Cognito integration of the application loadbalancer.
Before processing the request, a Lambda authorizer function associated with the API Gateway authenticates the incoming message. After it’s authenticated, the request is forwarded to another Lambda function that contains our core application logic. This request contains the user’s message and relevant metadata.
It also uses a number of other AWS services such as Amazon API Gateway , AWS Lambda , and Amazon SageMaker. It contains services used to onboard, manage, and operate the environment, for example, to onboard and off-board tenants, users, and models, assign quotas to different tenants, and authentication and authorization microservices.
In addition, you can also take advantage of the reliability of multiple cloud data centers as well as responsive and customizable loadbalancing that evolves with your changing demands. Cloud adoption also provides businesses with flexibility and scalability by not restricting them to the physical limitations of on-premises servers.
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 LoadBalancer (ALB). Once that is created, we need to make sure our S3 bucket is associated with our Lambda. A Honeycomb API key ( create a free account ) . Spoiler: we can).
We use them at Honeycomb to get statistics on loadbalancers and RDS instances. Heres a query looking at Lambda invocations and concurrent executions by function names. Queries like this allow us to see trends in our AWS Lambda usage over time: However, CloudWatch metrics filtering capabilities are pretty limited.
Event-driven compute with AWS Lambda is a good fit for compute-intensive, on-demand tasks such as document embedding and flexible large language model (LLM) orchestration, and Amazon API Gateway provides an API interface that allows for pluggable frontends and event-driven invocation of the LLMs.
In this blog post, we'll examine the question of public access, focusing on the main offerings of the three leading cloud providers — AWS Lambda, Azure Functions and GCP Cloud Functions. AWS Cheat Sheet: Is my Lambda exposed? Does the site force authentication that we might want to trickle down? Already an expert?
A tool called loadbalancer (which in old days was a separate hardware device) would then route all the traffic it got between different instances of an application and return the response to the client. This includes such functions as: Authentication and authorization. Loadbalancing.
AWS Lambdas don’t let you do that. If you’re still using an Elastic Compute Cloud (EC2) Virtual Machine, enjoy this very useful tutorial on loadbalancing. That’s what I’m using AWS Application LoadBalancer (“ALB”) for, even though I have only a single instance at the moment so there’s no actual loadbalancing going on.
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