Nowadays, the services are deployed with cloud-native apps and microservice architectures. You could be beneficial from Kubernetes to build a robust application. Or you have integrated a Git server into the CI/CD pipeline to debug your applications. However, it is not that simple to emulate cloud systems when developing applications. If you are running applications on a laptop, it is hard to find issues about latency, concurrency, and synchronizations you would encounter on a real cluster system. If you build a business-level cluster at home, you will get high electricity bills and noises from cooling fans.
Turing Pi V2 is a single mini-ITX board with four CM4 compatible slots. You can plug Raspberry Pi CM4 and NVIDIA Jetsons on it to form a heterogeneous architecture.
The good news is that computing devices have been getting more powerful and energy-efficient in recent years. It makes it possible to run resource-intensive work in the house instead of a cloud, reducing latency and being economical under certain circumstances.
Turing Pi V2 is the solution
Turing Pi V2 is a single mini-ITX board with four CM4 compatible slots. You can plug Raspberry Pi CM4 and NVIDIA Jetsons on it to form a heterogeneous architecture. You could deploy backend servers, storage systems, and databases on different nodes to simulate the conditions you would encounter on production. Or you could have a local Git server to run the CI/CD jobs securely without connecting to the cloud resources. The extended interfaces, such as four USB and two SATA ports, enable convenient storage expansion. If you are developing wireless applications, you can have multiple choices like Wifi, Bluetooth, Lora, Zigbee, and 4G/5G by using the Mini-PCIe and SIM card slots. Moreover, onboard firmware (BMC) and command-line tools will let you manage the cluster remotely, like reboot, flash OS images, and OTA updates for each node.
Turning Pi V2, an ARM cluster is a perfect start for local development environments or small businesses in your home. It provides you with a close and secure environment to store your codebase and run resource-intensive work. It is also a Kubernetes-ready platform to build cloud-native applications or develop a proof-of-concept before you start to pay bills on a cloud.