Based on our record, Amazon RDS should be more popular than Google Cloud Functions. It has been mentiond 68 times since March 2021. 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.
Database configuration - we had to modify the database configuration. This is very difficult in various database providers (like RDS) and may even not be possible. This is also not very uniform between various DB engines (like PostgreSQL and MySQL). - Source: dev.to / 3 months ago
Amazon Database Migration Service might initially seem like a perfect tool for a smooth and straightforward migration to RDS. However, our overall experience using it turned out to be closer to an open beta product rather than a production-ready tool for dealing with a critical asset of any company, which is its data. Nevertheless, with the extra adjustments, we made it work for almost all our needs. - Source: dev.to / 3 months ago
RDS - 750 hours per month of db.t2.micro, db.t3.micro, or db.t4g.micro, 20GB of General Purpose (SSD) storage, 20GB of storage backups. - Source: dev.to / 4 months ago
It's easy to get "database managers" and "managed databases" confused, for obvious reasons. Managed databases are a different product to database managers entirely: they are a service that hosts and maintains your database servers for you, so that you only have to worry about the data inside them. Managed databases are a great way to outsource some of your infrastructure overhead if you don't want to host database... - Source: dev.to / 5 months ago
The app can use a local PostgreSQL and has no issues using a cloud service like Amazon RDS. - Source: dev.to / 6 months 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 / 25 days 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 1 month 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
PostgreSQL - PostgreSQL is a powerful, open source object-relational database system.
Google App Engine - A powerful platform to build web and mobile apps that scale automatically.
MariaDB - An enhanced, drop-in replacement for MySQL
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.
MySQL - The world's most popular open source database
AWS Lambda - Automatic, event-driven compute service