Based on our record, Google Cloud Functions seems to be a lot more popular than Azure Logic Apps. While we know about 44 links to Google Cloud Functions, we've tracked only 1 mention of Azure Logic Apps. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Over the last couple of years, I had projects involving Excel. In this post, I will dive into the details of implementations (use cases) concerning Excel Workbooks. One project involved processing Excel files in a Container running on an Azure Kubernetes Service (AKS) cluster, the other generating an Excel Workbook for reporting purposes orchestrated by an Azure Logic App. Source: almost 2 years ago
Data-Driven Projects: Seamless integration with Google's data and AI/ML services (like Cloud Functions and Cloud SQL) streamlines development workflows for data-driven applications. - Source: dev.to / 4 days ago
The first reason is that serverless architectures are inherently scalable and elastic. They automatically scale up or down based on the incoming workload without requiring manual intervention through serverless compute services like AWS Lambda, Azure Functions, or Google Cloud Functions. - Source: dev.to / about 2 months ago
The FaaS platform gained a lot of popularity which resulted in many competitors. There was OSS providers like OpenFaaS or Fission. There were of course the commercial versions to like Azure Functions and Google Cloud Functions. - Source: dev.to / about 2 months ago
One of the issues developers can encounter when developing in Cloud Functions is the time taken to deploy changes. You can help reduce this time by dynamically loading some of your Python classes. This allows you to make iterative changes to just the area of your application that you’re working on. - Source: dev.to / 7 months ago
I've been looking at Google Secret Manager which sounds promising but I've not been able to find any examples or tutorials that help with the actual practical details of best practice or getting this working. I'm currently reading about Cloud Functions which also sound promising but again, I'm just going deeper and deeper into GCP without feeling like I'm gaining any useful insights. Source: 9 months ago
Apache Kafka - Apache Kafka is an open-source message broker project developed by the Apache Software Foundation written in Scala.
Google App Engine - A powerful platform to build web and mobile apps that scale automatically.
MuleSoft Anypoint Platform - Anypoint Platform is a unified, highly productive, hybrid integration platform that creates an application network of apps, data and devices with API-led connectivity.
Salesforce Platform - Salesforce Platform is a comprehensive PaaS solution that paves the way for the developers to test, build, and mitigate the issues in the cloud application before the final deployment.
RabbitMQ - RabbitMQ is an open source message broker software.
AWS Lambda - Automatic, event-driven compute service