Generally, we recommend using nightly builds of Scala plugin to stay up to date in cutting-edge features and bug-fixes. Most nightlies are rather stable and may often work even better than “officially stable” releases.
I encourage you to think about collecting data like this at your company. You need to be careful though. Because you’ll be collecting actual effort expended on each user story, it’s possible that team members feel more than the normal amount of pressure to finish within any estimates they give. They may then respond by padding their estimates. This defeats the whole purpose. So, show a graph like the one above to the team and be clear that having this data can help them. For example, the team above could learn that they put 8s on stories that should perhaps have been 5s. (Looking at the data, they could also learn that they estimated correctly but that they really had more sixes in the eight bucket.)
"This factor alone is a huge gain but an even bigger gain can be found by noting that all workloads are cyclic and go through sinusoidal capacity peaks and troughs. Some cycles are daily, some weekly, some hourly, and some on different cycles but nearly all workloads exhibit some normal expansion and contraction over time. This capacity pumping is in addition to handling unusual surge requirements or increasing demand discussed above."
"Spot instances effectively harvest unused infrastructure capacity. The servers, data center space, and network capacity are all sunk costs. Any workload worth more than the marginal costs of power is profitable to run. This is a great deal for customers in because it allows non-urgent workloads to be run at very low cost. Spot Instances are also a great for the cloud provider because it further drives up utilization with the only additional cost being the cost of power consumed by the spot workloads."
links for 2011-09-21