# About Google Axion C4A series and MongoDB

## In this learning path

- [Introduction](https://learn.arm.com/learning-paths/servers-and-cloud-computing/mongodb-on-gcp/)
- [About Google Axion C4A series and MongoDB](https://learn.arm.com/learning-paths/servers-and-cloud-computing/mongodb-on-gcp/background/)
- [Create Google Axion instance](https://learn.arm.com/learning-paths/servers-and-cloud-computing/mongodb-on-gcp/create-instance/)
- [Install MongoDB](https://learn.arm.com/learning-paths/servers-and-cloud-computing/mongodb-on-gcp/mongodb-deploy/)
- [Baseline Testing](https://learn.arm.com/learning-paths/servers-and-cloud-computing/mongodb-on-gcp/baseline-testing/)
- [MongoDB Benchmarking](https://learn.arm.com/learning-paths/servers-and-cloud-computing/mongodb-on-gcp/benchmarking/)
- [Next Steps](https://learn.arm.com/learning-paths/servers-and-cloud-computing/mongodb-on-gcp/_next-steps/)

## Google Axion C4A series
The C4A series is a family of Arm-based instance types for Google’s custom Axion CPU, which is based on Arm Neoverse-V2 cores. Designed for high performance and energy-efficient computing, these virtual machines offer strong performance suitable for modern cloud workloads such as CI/CD pipelines, microservices, media processing, and general-purpose applications.

The C4A series provides a cost-effective virtual machine while leveraging the scalability and performance benefits of the Arm architecture in Google Cloud.

To learn more about Google Axion, see the blog post [Introducing Google Axion Processors, our new Arm-based CPUs](https://cloud.google.com/blog/products/compute/introducing-googles-new-arm-based-cpu).

## MongoDB
MongoDB is a popular open-source NoSQL database designed for performance, scalability, and flexibility. It stores data in JSON-like BSON documents, making it well suited to applications that require dynamic, schema-less data models.

MongoDB is widely used for web, mobile, IoT, and real-time analytics workloads. Learn more on the [MongoDB website](https://www.mongodb.com/) and in the [MongoDB documentation](https://www.mongodb.com/docs/).