Based on our record, Google Cloud Functions should be more popular than Google Cloud SQL. It has been mentiond 43 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.
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 / 28 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
Cloud SQL: managed relational database service for MySQL, PostgreSQL, and SQL Server. - Source: dev.to / 6 months ago
All cloud platforms are going to have a Postgres database support. Google has something called AlloyDB that looks fantastic for reliability and scalability. Cloud SQL is a bit more standard though. Source: about 1 year ago
Google SQL - not familiar with, does it solve the cons above? Source: about 1 year ago
Cloud SQL with MySQL as I can run it locally and know its queries will be expressive enough (where I am uncertain about Firestore, for instance). Source: over 1 year ago
For example, a Cloud Run Container is a provider for Services, whereas a Cloud SQL Server is a provider for databases. The providers are wrapped in parent containers that encapsulate the capabilities of their children. - Source: dev.to / over 1 year ago
Google App Engine - A powerful platform to build web and mobile apps that scale automatically.
PostgreSQL - PostgreSQL is a powerful, open source object-relational database system.
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
Oracle DBaaS - See how Oracle Database 12c enables businesses to plug into the cloud and power the real-time enterprise.