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Lumigo raises $29M for its cloud-native application monitoring platform

TechCrunch

Lumigo , a cloud-native application monitoring and debugging platform, today announced that it has raised a $29 million Series A funding round led by Redline Capital. The company started with a focus on distributed tracing for serverless platforms like AWS’ API Gateway, DynamoDB, S3 and Lambda. Image Credits: Lumigo.

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How to Create Your First Lambda Function on AWS

MagmaLabs

In the beginning, the documentation for AWS LAMBDAS can be intimidating at times, but don’t worry, in this post, I will help you with the first steps to create an AWS LAMBDA Function. What’s a Lambda Function??. AWS Lambda is a compute service that lets you run code without provisioning or managing servers.

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Easily Debug Your AWS Lambda Functions With Honeycomb

Honeycomb

With the Honeycomb extension for AWS Lambda, you no longer need to make your Lambda functions Honeycomb-aware. Today, AWS announced the general availability of AWS Lambda Extensions, which make it easy for us to send logs from your Lambda functions directly to Honeycomb. Using AWS Lambda with Honeycomb.

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Why Object Storage is Best for Cloud-Native Apps

DevOps.com

A crucial question that plagues cloud application developers is, “What kind of storage should we use for our app?” Unlike other choices like compute runtimes—Lambda/serverless, containers or virtual machines—data storage choice is highly sticky and makes future application improvements and migrations much harder.

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The Cost Paradox Of The Cloud

Xebia

Transitioning to the cloud requires time and effort Applications often need adjustments to be compatible with Cloud resources, a factor that is generally expected. Hosting a test-environment for a straightforward application alone can, in some cases, result in costs running into hundreds if not thousands of euros.

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Architect defense-in-depth security for generative AI applications using the OWASP Top 10 for LLMs

AWS Machine Learning - AI

Generative artificial intelligence (AI) applications built around large language models (LLMs) have demonstrated the potential to create and accelerate economic value for businesses. Many customers are looking for guidance on how to manage security, privacy, and compliance as they develop generative AI applications.

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From “Secondary Storage” To Just “Storage”: A Tale of Lambdas, LZ4, and Garbage Collection

Honeycomb

Enter AWS Lambda. Amazon’s marketing of Lambda focuses on its use cases for data pipelines and as the basis of serverless API backends, but doesn’t dwell on what the service actually is: CPUs on demand, sold in 100ms increments. We use Lambda to accelerate the “secondary” part of secondary storage queries.

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