Local deal pioneer, and our client Groupon has just launched deal personalization, allowing users to receive deals that are more relevant based on zip code and personal preferences. This is great for all the fans of Groupon out there, as it gives them more interesting deals to choose from, and it allows Groupon to distribute more deals in each city it serves.

We're excited to have gotten a chance to help with this feature, and look forward to seeing how this reshapes the daily deal landscape!

There appears to have been a data center outage early morning, affecting a number of applications including Pivotal Tracker. This has caused connectivity problems for users in some locations, and it appears to still be persisting for some.

We're working with our hosting provider to get this resolved as soon as possible, this is our top priority.

This is the second data center outage this week. At the moment, we do not have enough information to know whether the outages are related.

Also, we have received reports that Tracker has been unreachable from certain parts of the world (including China) since the migration to a new data center last week. We've filed a request with Engine Yard to investigate, and hope to have this resolved soon.

Our apologies for the inconvenience these outages have caused. We'll post more information here as we receive it. You can also follow @pivotaltracker on Twitter for updates.

I often hear questions from Pivotal Tracker users about how to organize teams and projects. We also see many requests for features that would make it easier to see stories from across multiple projects.

Tracker is designed for full immersion in one project at a given time. This stems from how we work at Pivotal Labs.

We organize teams such that a single team (and the people on that team) have a single backlog (and Tracker project). This means that within a team, there are no conflicts in terms of priorities, there is less context switching, and the team is completely focused. It leads to more consistency from iteration to iteration and therefore a steadier velocity, which allows you to have a more accurate insight into how long the rest of the backlog (or a release) might take to complete.

We also make it so that anyone on a given team can grab the next available story from the top of the backlog (or the current iteration). This implies few or no specialists (there is no back-end guy), and is generally referred to as collective ownership. It increases overall efficiency by allowing the team to dynamically re-balance, and minimizes reliance on any individual person (which among other things, leads to more relaxing vacations for developers).

The project's customer (or product manager) focuses on prioritizing stories in the backlog, and the development team is collectively responsible for delivering software based on the backlog.

We use labels to tie related stories together within a project. These can represent a major feature, specific end customer, etc. Labels can help answer questions like, how much work is left in this large feature?

A single backlog for the entire team does put more work on the plate of the owner of the backlog (customer / product manager), as he or she has to constantly make potentially difficult prioritization decisions, but, thinking hard about priorities is a good thing, and it allows the development team to focus on getting more work done. That ultimately makes everyone happier.

Also, there are people in certain roles (for example executives and designers), that given their nature, tend to be involved with multiple projects at once. Tracker could certainly use some features to help these roles, and we're thinking about these, but overall, it's more oriented towards enabling the immersed team.

A single team/project can get large enough to the point where it becomes challenging to manage a single backlog. For us, this point is generally reached with 5 to 6 pairs of developers (or 10 - 12 people). Assuming that more developers can actually add value to the overall project (this is not always the case), it's probably worth considering splitting the team into multiple smaller teams, each with their own single backlog.

To avoid knowledge and cultural silos with multiple teams, we find it helpful to rotate a few people around teams every iteration. It's important to maintain consistency (and therefore a steady velocity), so you don't want to shift too many people around too often - usually rotating just 1 person (on each team) each iteration is enough, assuming you're pairing and switching pairs within each team often.

In a multi-team (and Tracker project) environment, the product/project manager acts as a load balancer, and allocates work across the multiple teams/backlogs by considering velocity, dependencies, etc. This is typically a full time job. Tracker doesn't have much out of the box to help with this, but we're thinking about this as well, although it may be that some of this kind of work is better done in a spreadsheet, or other, more traditional project management tools. (As a side note, we did recently add the ability to move stories between Tracker projects, making things a tiny bit easier for people who manage multiple teams/projects).

I'd love to hear your thoughts on any of this, including suggestions for how to organize large projects and multiple teams (and how Tracker can help with that).

Pivotal Tracker is moving to a new private cloud hosting environment at Engine Yard this Thursday, July 22, starting at 8pm PDT.

Planned downtime is approximately one hour, but because we're changing IP addresses of the Tracker servers, it may take longer for DNS changes to full propagate.

If you've opened your firewall to a specific IP address for Tracker integrations, you'll need to make changes. We'll post the new address of the integrations server after the move, you can also 'ping api.pivotaltracker.com' to resolve it.

Apologies for the inconvenience, we're hoping for noticeable performance improvements in the new environment.

With Github's help, we've added Pivotal Tracker to the list of Github's built in service hooks, making it easier to tie commits to Tracker stories.

To set it up, go to the Repository Administration section of your Githup repo, click on Service Hooks on the left, and choose PivotalTracker from the list. Enter your API token, and you should be good to go.

More on Tracker commit hooks on the API help page.