Development Tools
Overview of application development tools for Java developers with Google Cloud Platform. Google Cloud Platform has a range of tools to span across all application development lifecycle.
A general overview of all the tools available for Java developers so that you are aware of the breadth and depth of what's available. You do not need to install any of this at the movement, or only install what you need.
IDE
IntelliJ
VS Code
Eclipse
Plugin
App Engine Support
Yes
Yes
Yes
Kubernetes Support
Yes
Yes
No
Add Client Libraries
Yes
Yes
No
Maven / Gradle Plugins
Maven
Gradle
App Engine Support
Cloud Function Support
N/A
Containerize with Jib
Framework Support
Spring Boot
Spring Cloud GCP provides 10+ integrations with Spring Boot across Spring Data, Spring Integration, Spring Cloud Streams, and more to provide idiomatic access databases, Cloud Trace, and Cloud Logging.
Micronaut
Micronaut GCP provides integration with GCP services.
Concerns
GCP Service
Micronaut Abstraction
Distributed Tracing
Cloud Trace
Zipkin / Brave
Hibernate
Use Hibernate Cloud Spanner Dialect to continue use Hibernate / JPA to use Cloud Spanner in your application.
R2DBC
Use R2DBC to access database to produce highly concurrent non-blocking microservices.
Database
R2DBC Support
Cloud Spanner
Cloud SQL - PostgreSQL
Cloud SQL - MySQL
Cloud SQL - Microsoft SQL Server
DevOps Tools
Cloud Build
Declare your CI/CD pipeline and run it with Cloud Build. See Cloud Build with Java application documentation.
Artifact Registry
Publish Java artifacts to Artifact Registry, which can host Maven repositories. See Artifact Repository section.
Cloud Trace
Use Spring Cloud Sleuth and send Distributed Tracing data to Cloud Trace, using Spring Cloud GCP. See Trace section.
Cloud Logging
Aggregate logs into a centralized logging console to easily search and view logs. See Logging section.
Error Reporting
Automatically identifies Java exceptions and produce reports. Easily see new exceptions and their frequencies. See Logging section.
Cloud Monitoring
Collect system and application metrics, build dashboards, and setup alerts. See Metrics section.
Cloud Debugger
Cloud Debugger can debug your production application without halting the application. Cloud Debugger can capture application state as a Snapshot, and also able to add additional log messages without redeploying the code. See Cloud Debugger section.
Cloud Profiler
Cloud Profiler can continuously profile CPU and heap usages in a production application with minimal overhead. The profiled flame graph can help you understand performance hotspots. See Cloud Profiler section.
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