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.
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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.
Last updated
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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.
IntelliJ
VS Code
Eclipse
Plugin
App Engine Support
Yes
Yes
Yes
Kubernetes Support
Yes
Yes
No
Add Client Libraries
Yes
Yes
No
Maven
Gradle
App Engine Support
Cloud Function Support
N/A
Containerize with Jib
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.
Concerns
GCP Service
Micronaut Abstraction
Distributed Tracing
Cloud Trace
Zipkin / Brave
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
provides integration with GCP services.
Use to continue use Hibernate / JPA to use Cloud Spanner in your application.
with
with
with
Declare your CI/CD pipeline and run it with Cloud Build. See .
Publish Java artifacts to Artifact Registry, which can host Maven repositories. See section.
Use Spring Cloud Sleuth and send Distributed Tracing data to Cloud Trace, using Spring Cloud GCP. See .
Aggregate logs into a centralized logging console to easily search and view logs. See .
Automatically identifies Java exceptions and produce reports. Easily see new exceptions and their frequencies. See .
Collect system and application metrics, build dashboards, and setup alerts. See .
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 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 .