Specifying an environment in this way also makes it easy to link microservices together to form a larger application. This guide shows how to build and deploy an example microservice using Docker and Docker Compose. Before You Begin If you have not already done so, create a Linode account ...
Learn about common microservices configuration patterns and how to deploy and configure a series of microservices.
Microservices are small, independent applications that perform specific tasks, allowing for flexible deployment and scaling. This modular approach to software design loosens the coupling between components, enhancing flexibility and manageability throughout development. The article provides an overview ofmicros...
That makes them more reliable, easier to deploy, and safer to upgrade. What are the risks of deploying virtual CMTS? Software can handle the load: When Harmonic first introduced the vCMTS to the market, many were wary of a software-based CMTS solution’s capability to offer even the same...
Microservices are advantageous over monolithic applications for several reasons. Building them is easier due to their smaller size. You can deploy, scale, and maintain them more efficiently, as you can add more services to run in parallel at any step. Microservices are not new, as the concept ...
Both approacheshave their own pros and cons. In-process calls are faster and less resource-intensive; however, with microservices, you don’t have to re-deploy the entire application whenever there’s a change to one service, and each component can be developed and maintained independently. ...
Digital transformation often leads to breaking software monoliths into microservices exposed as REST APIs.
You can deploy the model from its model card in the catalog UI of Azure AI Foundry or Azure Machine Learning studio or deploy it programmatically. To deploy the model through the UI: Go to the model catalog. Search for the MedImageInsight model and select its model card. On the model's...
Overview of how to create a container from a Python web app and deploy it to Azure Container Apps, a serverless platform for hosting containerized applications.
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