First off, here is the latest State of IO post from Todd:

We are considering a change to the way IO handles the retain flag on MQTT publish packets. The retain flag is used to allow the MQTT broker to retain the sent value, and will tell the server to pass it to any new subscribers as soon as they connect. We found that this feature was a little hard for people to understand at first, so we decided to force the retain flag to true for users by default. This change ensured that users always got the current state of their IO feeds as soon as they connected, without having to send a HTTP request to the REST API for the current value.

The decision to force the retention of values caused issues with some users, because they lost the option to decide which values were cached. We are planning to revert this change, and give people the option to cache the values using the retain flag.

In addition to this change, we are thinking of extending the meaning of the retain flag, and also allowing users to decide which values are logged to the database. So for example, if you wanted to push out temperature values every second to your connected devices, but only wanted to log the temperature value every minute, you could do so by only setting the retain flag to true for the values you wish to log. This should allow for greater flexibility when logging, and will result in increased speed for feeds that are focused on realtime interaction. We welcome your feedback in the IO forum.

If you would like to read more about the MQTT retain flag, please check out this article on HiveMQ’s blog.

Here are the stats for the past week:

* 29.03 million inserts of logged data in the last 7 days
* 10,969 users
* 8,675 online feeds (24,277 feeds total)

With the release of the new Raspberry Pi v2 Camera, I thought it would be a good time to remind everyone that you can connect a Raspberry Pi camera to your Adafruit IO Dashboard. Our very own Tony DiCola shows us how in this Adafruit Learning System guide:

The cloud cam is a project to build an internet-connected security camera using a Raspberry Pi and Pi camera.  The camera can detect motion and upload images to Dropbox’s cloud storage service, or the beta of Adafruit IO, Adafruit’s internet of things service.

Here at Adafruit, we sell all of these amazing components, but we couldn’t find a good way to interact with them over the internet. There are certainly a lot of great services out there for datalogging, or communicating with your microcontroller over the web, but these services are either too complicated to get started, or they aren’t particularly fun to use. So, we decided to experiment with our own system, and that is how Adafruit IO got started.

To start, please visit https://io.adafruit.com, and take a look around. You can also visit our comprehensive tutorial located on the Adafruit Learning System.

We also have a blog/changelog specifically for Adafruit IO to keep you updated with the latest changes.

To make it easy for people to get started using Arduino or ESP8266 we have starter packs with just about everything you may want to connect to the internet, with known-working WiFi modules!
ESP8266 Huzzah Kit