Google Cloud Functions
Google App Engine
Salesforce Platform
AWS Lambda
Dokku
Azure Web Apps
Now Platform
AWS Elastic Beanstalk
Adobe Analytics
Google Analytics
Mixpanel
Heap
Matomo
Google Tag Manager
Hotjar
Plausible.io
Based on our record, Google Cloud Functions seems to be a lot more popular than Adobe Analytics. While we know about 43 links to Google Cloud Functions, we've tracked only 2 mentions of Adobe Analytics. 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.
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 1 month 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: 8 months ago
Serverless computing was also introduced, where the developers focus on their code instead of server configuration.Google offers serverless technologies that include Cloud Functions and Cloud Run.Cloud Functions manages event-driven code and offers a pay-as-you-go service, while Cloud Run allows clients to deploy their containerized microservice applications in a managed environment. - Source: dev.to / 11 months ago
Google Analytics was launched in 2005 as a tool for reporting web traffic. It is one of many web analytics tools. Adobe Analytics and Hubspot Analytics are example competitors to Google Analytics. - Source: dev.to / over 2 years ago
What it is: Adobe Analytics provides a set of tools that lets you collect, measure, and explore data you can use to predict traffic and gain insights. It has an interactive analytics workspace that helps you easily drag and drop data tables, visualizations, and components. - Source: dev.to / over 2 years ago
Google App Engine - A powerful platform to build web and mobile apps that scale automatically.
Google Analytics - Improve your website to increase conversions, improve the user experience, and make more money using Google Analytics. Measure, understand and quantify engagement on your site with customized and in-depth reports.
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.
Mixpanel - Mixpanel is the most advanced analytics platform in the world for mobile & web.
AWS Lambda - Automatic, event-driven compute service
Heap - Analytics for web and iOS. Heap automatically captures every user action in your app and lets you measure it all. Clicks, taps, swipes, form submissions, page views, and more.