PiCloud‘s web interface allows you to easily manage and analyze jobs that run. The entire interface can be accessed via the My Account tab. The web interface should be quite intuitive, but if you wish to learn all about its features, read on.
You can find your api_key and api_secretkey under API Keys. This information is needed to connect to PiCloud. You can also create additional API keys through this menu.
In the Jobs menu, you can view the status of jobs and even kill or delete them. You can also filter jobs by date, API Key, status, and label.
Each job shows important information, including the hostname of the computer it was launched from, the function that was called via the cloud module, the label set in the cloud call, and the job’s status. If the job was created by another job running on PiCloud, the id of the creating job is displayed as the “parent”. Clicking on the job will show more details such as what was written to standard output and error, runtime, dependencies, any exception raised, and, if enabled, a profile.
Manage crontabs you have registered. You can also manually run the registered function and see all jobs that the crontab has spawned.
Manage functions that have been published to PiCloud for use with the REST API. See documentation on the REST API for more information.
Guarentee a certain level of parallelization. See scheduling overview <overview_scheduling.
Environments allow you to install any software package (binaries, python extensions, etc.) on PiCloud. See our documentation.
For instance, if you are using a custom python extension written in C/C++ that is not already installed on PiCloud. you will need to install it in your environment.
See real-time statistics of how many jobs are queued and processing. Also shows PiCloud utilization over past day.
See your bill, including how much bandwidth and compute units you have utilized.