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Sending OpenTelemetry Data From AWS Lambda to Honeycomb

Honeycomb

In this post, I describe how to send OpenTelemetry (OTel) data from an AWS Lambda instance to Honeycomb. I will be showing these steps using a Lambda written in Python and created and deployed using AWS Serverless Application Model (AWS SAM). Add OTel and Honeycomb environment variables to your template configuration for your Lambda.

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Fargate vs. Lambda: The Battle of the Future

Dzone - DevOps

Fargate vs. Lambda has recently been a trending topic in the serverless space. Fargate and Lambda are two popular serverless computing options available within the AWS ecosystem. While both tools offer serverless computing, they differ regarding use cases, operational boundaries, runtime resource allocations, price, and performance.

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Enhancing Resiliency: Implementing the Circuit Breaker Pattern for Strong Serverless Architecture on AWS

Dzone - DevOps

Serverless architecture is a way of building and running applications without the need to manage infrastructure. AWS offers various serverless services, with AWS Lambda being one of the most prominent. There's no idle capacity because billing is based on the actual amount of resources consumed by an application.

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How a Serverless Architecture Can Help You Secure Cloud-Native Applications

Tenable

The good news is that deploying these applications on a serverless architecture can make it easier to protect them. Cloud-native architecture has opened up new avenues for developers, bringing individual components out of monolithic server configurations and making them readily available as consumable services. Here’s why.

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AWS Lambda vs. Fargate: The Battle of Cloud Giants

Dzone - DevOps

With the advent of serverless architectures and container services, the technology landscape has transformed dramatically. Two such services that have gained significant popularity are AWS Lambda and Fargate. AWS (Amazon Web Services) has been a major player in this transformation with their extensive suite of cloud services.

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Automate the process to change image backgrounds using Amazon Bedrock and AWS Step Functions

AWS Machine Learning - AI

The following diagram provides a simplified view of the solution architecture and highlights the key elements. The DynamoDB update triggers an AWS Lambda function, which starts a Step Functions workflow. The Step Functions workflow invokes a Lambda function to generate a status report. height – The height of the image in pixels.

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Accenture creates a regulatory document authoring solution using AWS generative AI services

AWS Machine Learning - AI

The following diagram illustrates the solution architecture. Amazon SQS enables a fault-tolerant decoupled architecture. The WebSocket triggers an AWS Lambda function, which creates a record in Amazon DynamoDB. Another Lambda function gets triggered with a new message in the SQS queue.