Application Load Balance
Amazon API Gateway
AWS Lambda
Amazon Route 53
Amazon EC2
Amazon S3
Amazon RDS for PostgreSQL
AWS WAF
Google Cloud PostgreSQL
Supabase
Firebase
pREST
Crunchy Bridge
Beekeeper Studio
Amazon RDS for PostgreSQL
Hightouch Audiences
No Google Cloud PostgreSQL videos yet. You could help us improve this page by suggesting one.
Based on our record, Application Load Balance should be more popular than Google Cloud PostgreSQL. It has been mentiond 27 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.
Then there's the Application Load Balancer. It works for both APIs and web apps, gives you full control, and is the most โproduction-readyโ option. But it comes with overhead: more infrastructure, higher cost, and the expectation that youโll eventually run multiple EC2 instances across multiple availability zones. ALB shines when your system is growing, but it's definitely not the lightest way to get started. - Source: dev.to / about 2 months ago
Application Load Balancer (ALB) - The public-facing endpoint. Although there is a running cost, its simpler TLS setup and support for scaling and AWS WAF integration makes it worthwhile. - Source: dev.to / 3 months ago
Scaling. If you outgrow a single instance, add an Auto Scaling Group with an Application Load Balancer to distribute traffic across multiple instances. - Source: dev.to / 5 months ago
Some exercises can be built on previous ones. For example, if you create an EC2 Auto Scaling group, you can use it to add an Application Load Balancer when an exercise needs that set-up. - Source: dev.to / 7 months ago
Say that we have an application running behind a public-facing Application Load Balancer (ALB). The load balancer's target can be any supported target, including ECS containers, EC2 instances or even Lambda functions. Because the application is only available to authenticated users, we want to find a solution to identify them. - Source: dev.to / almost 3 years ago
Google Cloud SQL for MySQL (for managed MySQL) or Google Cloud SQL for PostgreSQL (for managed PostgreSQL). - Source: dev.to / about 1 year ago
This is Google's managed service for databases that makes it easier to set up, maintain, and manage PostgreSQL databases on Google Cloud. - Source: dev.to / almost 2 years ago
For a small database you don't need Snowflake. You need Postgres or MySQL. Power BI for visualizing data seems fine. For entering data you can use Airforms. Source: almost 3 years ago
PostgreSQL is an open-source relational database, used by many companies, and is very common among cloud applications, where companies prefer an open-source solution, supported by a strong community, as an alternative to commercial database engines. The simplest way to run the PostgreSQL engine in the cloud is to choose one of the managed database services, such as Amazon RDS for PostgreSQL or Google Cloud SQL... - Source: dev.to / over 3 years ago
For the database, I used Cloud SQL, which is a managed database service from Google Cloud Platform (GCP). This GCP product provides a cloud-based alternative to MySQL, PostgreSQL and SQL Server databases. The great advantage of Cloud SQL is that it is a managed service, that is, you do not have to worry about some tasks related to the infrastructure where the database will run, tasks such as backups, maintenance... - Source: dev.to / about 4 years ago
Amazon API Gateway - Create, publish, maintain, monitor, and secure APIs at any scale
Supabase - An open source Firebase alternative
AWS Lambda - Automatic, event-driven compute service
Firebase - Firebase is a cloud service designed to power real-time, collaborative applications for mobile and web.
Amazon Route 53 - Amazon Route 53 is a highly available and scalable DNS web service.
pREST - A fully RESTful API from any existing PostgreSQL database written in Go