To deploy for real, the fact service needs to connect to the Cloud SQL PostgreSQL database. There are several options for connecting to a Cloud SQL database from Cloud Run. In this case, as you are using the Spring Cloud GCP starter for Cloud SQL to connect to a Cloud SQL database using the Cloud […]
Creating a Secret in Secret Manager – Fact Service with Spring Boot, Cloud Run, and Cloud SQL
Before establishing a connection between the Cloud Run service and the Cloud SQL database, it’s necessary to create a secret in Secret Manager to safely store the database user’s password. Secret Manager is a secure and convenient solution provided by Google Cloud for managing sensitive information like passwords, API keys, and other secrets. It ensures […]
Tip – Fact Service with Spring Boot, Cloud Run, and Cloud SQL
It may surprise you to learn that the size of your disk space can directly affect the number of input/output operations per second (IOPS) your system can handle. IOPS is a common performance measurement used to benchmark computer storage devices like hard disk drives (HDD), solid-state drives (SSD), and storage area networks. The more IOPS […]
Building the Container – Fact Service with Spring Boot, Cloud Run, and Cloud SQL
With the Spring Boot application written, you need to package it into a container. In Chapter 10, I will cover more options for automating this process; however, for now, I will introduce Jib, a Google open source project that allows you to build containers for a Java application without a Dockerfile. Jib uses a plugin […]
Implementation – Fact Service with Spring Boot, Cloud Run, and Cloud SQL
Let’s get hands-on and implement this project. Creating a New Spring Boot Project To create a new Spring Boot project, you can use the Spring Initializr. This is a web application that allows you to create a new Spring Boot project with several initial dependencies. You will use the following dependencies: This is a great […]
Cloud Run – Fact Service with Spring Boot, Cloud Run, and Cloud SQL
As you have seen in Chapter 6, Cloud Run is a flexible solution for running containers, and you will use it here again. My approach is to work my way down from the highest abstraction until I find a service that can work within the constraints I have identified, a process I call progressive decomposition, […]
Identity Platform – Fact Service with Spring Boot, Cloud Run, and Cloud SQL
In this service, a fact is made up by relating a person to a skill via a level of interest or proficiency. A skill is represented by a Stack Overflow tag you retrieved in Chapter 5 and made searchable in Chapter 6. However, you need a way of capturing the person it is associated with, […]
Solution – Fact Service with Spring Boot, Cloud Run, and Cloud SQL
When choosing how to implement this requirement, you need to answer several questions: Where to run the compute? For this service, you have a long-running process, so it is not suitable for Cloud Functions. You will be using Java and Spring Boot in a container, so the startup time will be several seconds when using […]
Requirements – Fact Service with Spring Boot, Cloud Run, and Cloud SQL
In previous chapters, you embraced cloud native development. You made full use of the convenience of serverless Cloud Functions and then Cloud Run. You used the Go programming language, which, due to its relatively light footprint and fast startup time, is ideal for Cloud Run and autoscaling in particular. However, this chapter includes a more […]
How Much Will This Solution Cost? – Skill Service with Cloud Run
Now let’s look at how much the solution will cost. Cloud Run is charged based on three factors: CPU and memory per 100 ms of execution For example, 1 vCPU and 512 MB of memory for 1 second could be an execution unit. If you assigned 2 vCPUs and 1 GB of memory to a […]