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Implementing a Serverless DevOps Pipeline With AWS Lambda and CodePipeline

Dzone - DevOps

AWS Lambda is a popular serverless platform that allows developers to run code without provisioning or managing servers. In this article, we will discuss how to implement a serverless DevOps pipeline using AWS Lambda and CodePipeline. What Is AWS Lambda?

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AWS Lambda Pricing for a Serverless Application

Dzone - DevOps

As you might already know, AWS Lambda is a popular and widely used serverless computing platform that allows developers to build and run their applications without having to manage the underlying infrastructure. But have you ever wondered how AWS Lambda Pricing works and how much it would cost to run your serverless application?

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When You Need More Power Than a Lambda Provides

Dzone - DevOps

In this article, I wanted to focus on an example where my project seemed like a perfect serverless use case, one where I’d leverage AWS Lambda. The expectation of learning valuable lessons should always be top of mind as design becomes a reality. Spoiler alert: it was not.

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Streamlining AWS Lambda Deployments

Dzone - DevOps

AWS Lambda, a serverless computing service from Amazon Web Services (AWS), allows developers to run code without provisioning or managing servers. However, managing AWS resources and deploying applications can become complex as projects grow.

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Seamless Integration: Connecting AWS Lambda to RDS and Writing Data Effortlessly

Dzone - DevOps

Connecting AWS Lambda to an AWS RDS instance allows you to build serverless applications that can interact with relational databases, thereby enabling you to manage database operations without provisioning or managing servers.

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Build a Serverless Application for Entity Detection on AWS

Dzone - DevOps

In this blog post, you will learn how to build a Serverless solution for entity detection using Amazon Comprehend , AWS Lambda , and the Go programming language. Text files uploaded to Amazon Simple Storage Service (S3) will trigger a Lambda function which will further analyze it, extract entity metadata (name, type, etc.)

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Dynamic Data Processing Using Serverless Java With Quarkus on AWS Lambda by Enabling SnapStart (Part 2)

Dzone - DevOps

This is the second article to teach developers how to make serverless Java for dynamic data processing with a NoSQL database. Let’s go into the outer loop practices in production using AWS Lambda and DynamoDB. In case, you haven’t already read it, find the first tutorial here.

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