geckoboard | Receive Calibre snapshot webhooks , push to Geckoboard | Cloud Storage library

It is likely that your recursive resolver is misconfigured or just broken. It probably does not handle EDNS correctly, or does not process TCP queries at all. (Some client virtualization solutions have built-in DNS forwarders with these problems.)

The reason why TCP is needed is that the response size is larger than 512 bytes:

Update: Geckoboard now has their own official Python client library for their Datasets API https://github.com/geckoboard/geckoboard-python

It's definitely possible to use Python with Geckoboard's Datasets API. You can use any language or platform that can perform HTTPS requests with JSON - though Geckoboard has only released official library's for Ruby and Node so far.

Edit: I made a quick example below, but later found this: https://github.com/helium/geckoboard-python/

In short you just need to:

• PUT with the a schema object to https://api.geckoboard.com/datasets to create a dataset
• PUT with the a data array to https://api.geckoboard.com/datasets/:id to replace all data in a dataset
• POST with the a data array to https://api.geckoboard.com/datasets/:id to append to the data in a dataset
• DELETE to https://api.geckoboard.com/datasets/:id to delete a dataset

These requests are outlined at -- https://developer.geckoboard.com/api-reference/curl/

I haven't written much Python, so this may not be very Pythonic, but here's a way you could create a Geckoboard library in Python to do this for you, using the requests library underneath:

As it turns out, the code is just fine. The problem was that, along the development process we had enabled a VPC in the lambda configuration - in the hopes of enabling what we thought were necessary RDS read abilities.

Turning it off solved the perpetual time-outs, and revealed that no VPC was needed to make RDS queries. Oops!