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Serverless is more than AWS Lambda

Stackery

Too often serverless is equated with just AWS Lambda. Yes, it’s true: Amazon Web Services (AWS) helped to pioneer what is commonly referred to as serverless today with AWS Lambda, which was first announced back in 2015.

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AWS Lambda Benchmarking

Xebia

In this blog post, we examine the relative costs of different language runtimes on AWS Lambda. Many languages can be used with AWS Lambda today, so we focus on four interesting ones. Rust just came to AWS Lambda in November 2023 , so probably a lot of folks are wondering whether to try it out.

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Build a read-through semantic cache with Amazon OpenSearch Serverless and Amazon Bedrock

AWS Machine Learning - AI

Given the increasing need for efficient and cost-effective AI solutions, we present a serverless read-through caching blueprint that uses repeated data patterns. With OpenSearch Serverless, you can establish a vector database suitable for setting up a robust cache system.

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Using design patterns in AWS Lambda

Xebia

I have noticed the same behavior with serverless. In this blog post I will go over some reasons why you should be using design patterns in your Lambda functions Getting started To get started with AWS Lambda is quite easy, and this is also the reason why some crucial steps are skipped.

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The Future of Serverless is … Functionless?

Stackery

I first heard about this pattern a few years ago at a ServerlessConf from a consultant who was helping a “big bank” convert to serverless. It will scale just fine… unless you hit your account-wide Lambda limit. 6.10, which is approaching EOL for AWS Lambda? They needed to ingest data from an API and put it in a DynamoDB table.

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Deploy a serverless web application to edit images using Amazon Bedrock

AWS Machine Learning - AI

However, by using various AWS services, you can quickly deploy a serverless solution to edit images. Amazon Bedrock is serverless, so you can get started quickly, privately customize FMs with your own data, and integrate and deploy them into your applications using AWS tools without having to manage infrastructure.

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Serverless and Edge Runtime Part 2

Apiumhub

This is the second post in a two-part series exploring the world of Serverless and Edge Runtime. In the previous post, we got familiar with serverless; the main focus of this post will be the Edge Runtime, where it can be useful, and what its caveats are. Edge, the Location: the concept of running servers closer to our users.