Google Cloud Run Features & Capabilities

Google Cloud Run

Notepad++

IntelliJ IDEA

Google Cloud Run is a serverless computing platform for developers.

Access Controls/Permissions

Application Security

Automated Testing 

Change Management

Container Scanning

Continuous Deployment

Continuous Integration

Data Storage Management

Debugging

Document Management

Encryption

For Developers

Graphical User Interface

Integrated Development Environment

Policy Management

Real-Time Monitoring

Runtime Container Security

Software Development

Third-Party Integrations

Web App Development

Workflow Management

GitLab

Datadog

Jira

Heroku

MuleSoft Anypoint Platform

GitHub

Microsoft Azure

Docker

Buddy

Jenkins

Bitbucket

SonarQube

Overall, the experience with Google Cloud Run has been positive. The platform provides a serverless architecture for container-based applications, which allows us as a team to focus on building and deploying code without worrying about server management or scaling. The multi-language support and integration with other GCP services is a boon while developing cloud native application.

Google Cloud Run - Game changer for microservices architecture

We use Cloud Run for many of our internal financial service applications. Currently we do not have compute intensive worklaods running, therefore, we haven't faced any major issues. However, during testing we have deployed some heavy workloads which did not turn out and work well in Cloud Run.

Easy deployment of container workloads with Cloud Run

Arijit review GC Run

We use Cloud Run for majority of our development activities. This helps our teams to have no kubernetes administrators and solely focus on development. Our developers have full control over the cloud run consoles and they are free to play around, deploy and manage existing workloads as well.

Run container workloads without managing the underlying infrastructure!

We use Cloud Run for our client applications and build, test and even monitor their environments on a daily basis. We have a heavy reliance on Cloud Run for end user applications which are required to be working efficiently at all times.

Managed Kubernetes environment backed by Google

We use Cloud Run extensively for all our client facing demo and PROD workloads. It lifts all the heavy work required in platforms such as Google Kubernetes Engine and developers are required to build and supply YAML files which are directly deployed on Cloud Run. Services can also be directly exposed in Cloud Run with native Load Balancers which takes care of frontend security and TLS offloading as well.

Powerful platform to run containerized applications.

Google Run - Review 

We are moving our container workloads from bare metal Kubernetes services to Cloud Run for better management. This relieves the effort of managing the infrastructure and the teams can purely focus on research and development. A huge chunk of effort is lifted from engineers who now can just code and build amazing softwares.

Amazing PaaS for running container workloads!

Google Cloud Run screenshot: Deploying your service with a build trigger

Compliance Management

Compatibility Testing

Data Import/Export

Customizable Branding

Configurable Workflow

Data Security

Multiple Programming Languages Supported

Mobile Development

Pre-built Templates

Custom Development

Version Control

Code Editing

Game Development

Deployment Management

Task Management

Activity Dashboard

Database Support

Data Modeling

Collaboration Tools

For Low-Code Development

Offline Access

Alerts/Notifications

Data Visualization

Reporting/Analytics

UI Prototyping

For No-Code Development

Code Development

Backup and Recovery

Performance Management

Drag & Drop

Lifecycle Management

Code Repository Integration

Source Control

Application Development

Google Cloud Run Features

Features Summary

Screenshots

Contenders comparison

Common Google Cloud Run comparisons

Reviewers who mentioned features said: