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Serverless Model Deployment in AWS: Streamlining with Lambda, Docker, and S3

2023-11-30T06:08:01+00:00

Welcome back to our series on model deployment in AWS! In the fast-paced world of machine learning and data science, the ability to deploy models efficiently and reliably is crucial. This is where AWS services, with their vast array of tools and capabilities, come into play. In this second installment, we will delve into the potent combination of AWS Lambda and Docker, coupled with the convenience of storing models in S3. This trio offers a scalable, cost-effective, and streamlined solution for deploying machine learning models in a production environment. If you recall, in the first part of our series, we [...]

Serverless Model Deployment in AWS: Streamlining with Lambda, Docker, and S32023-11-30T06:08:01+00:00

Deploying Docker Images To Azure Container Apps

2023-04-26T07:59:52+00:00

Containers, cloud-native, and microservices are all used in modern software development and deployment. A container is a standalone executable package that contains everything needed to run a piece of software, creating an isolated environment for the application. While microservices are an architectural paradigm for developing applications composed of small, independent services. This enables teams to autonomously build, deploy, and grow their services, increasing the speed and agility of the development process. In Microsoft Azure, there is a fully managed service called Azure Container Apps, where you can deploy, manage, and scale multi-container applications and microservices. You can run your containers [...]

Deploying Docker Images To Azure Container Apps2023-04-26T07:59:52+00:00

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