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AWS vs. Azure vs. Google Cloud: Comparing Cloud Platforms

Kaseya

In addition, you can also take advantage of the reliability of multiple cloud data centers as well as responsive and customizable load balancing that evolves with your changing demands. In this blog, we’ll compare the three leading public cloud providers, namely Amazon Web Services (AWS), Microsoft Azure and Google Cloud.

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Deploy Django apps to AWS Elastic Beanstalk

CircleCI

This tutorial covers: Setting up a Django application on AWS. Your software development team has an enormous number of tools available to them. In this article, I will guide you through deploying a Django application to AWS Elastic Beanstalk. AWS account. AWS Elastic Beanstalk CLI installed on your computer.

AWS 98
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Moving to the Cloud: Exploring the API Gateway to Success

Daniel Bryant

Mercedes-Benz collects roughly nine terabytes of traffic from requests in a day” Nashon Steffen Staff Infrastructure Development Engineer at Mercedes-Benz Adopting cloud native: Changes, challenges, and choices Adopting cloud technologies brings many benefits but also introduces new challenges. Independently from this?—?although

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Quickly Turn ALB/ELB Status Codes into an Issue-Seeking Heatmap

Honeycomb

More often than not, as developers, when we get a report that a large customer is hitting 500 errors, there’s a flurry of activity. So you start digging through AWS logs to see what you can find, but it’s hard to reproduce. The example below uses an AWS account, ALB/ELB, S3, and a Lambda to send log data to Honeycomb.

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Ingesting HTTP Access Logs from AppService

Honeycomb

This is supplemental to the awesome post by Brian Langbecker on using Honeycomb to investigate the Application Load Balancers (ALB) Status Codes in AWS. Since Azure AppService also has a Load Balancer serving the application servers, we can use the same querying techniques to investigate AppService performance.

Azure 64
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The Mechanics of Deploying the Envoy Proxy at Lyft: Lessons Learned for Ambassador

Daniel Bryant

The out-of-process architecture of Envoy (typically running as a sidecar) allows the project’s developers at Lyft to “do a lot of the really hard [networking and communication] stuff in one place”, and crucially allows application developers to focus on the business logic. The primary Lyft application was deployed into the AWS cloud.

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Build enterprise-ready generative AI solutions with Cohere foundation models in Amazon Bedrock and Weaviate vector database on AWS Marketplace

AWS Machine Learning - AI

We demonstrate how to build an end-to-end RAG application using Cohere’s language models through Amazon Bedrock and a Weaviate vector database on AWS Marketplace. Cohere language models in Amazon Bedrock The Cohere Platform brings language models with state-of-the-art performance to enterprises and developers through a simple API call.