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With a less than a week left before code freeze for the 4.2 release on 7/29, there is a lot of work still to be done and a lot of bugs that need to be worked out. With this major release many new and existing features need the blocker and critical bugs cleared out as soon as possible. There's been great teamwork in the community. Animesh Chaturvedi points out the work that still needs to be done:

...For the days remaining to code freeze, lets prioritize fixing blockers and critical over majors. As from last week in order to clear up our backlog I request you to help out on aggressively fixing the issues. The unassigned issue list is available at http://s.apache.org/BlH/. When you fix a bug in 4.2 please make sure it is also fixed in master.

The outstanding resolved issues now stand at 492 with 250 blockers and critical still to be verified. As with fixing issues now we need to focus on blockers and critical first.

The detailed bug status is captured below.

Bugs

This Week

 

 

 

Last Week

 

 

 

 

Blocker

Critical

Major

Total

Blocker

Critical

Major

Total

Incoming

29

48

64

144

31

40

46

120

Outgoing

37

68

51

159

33

38

65

140

Open Unassigned

6

13

149

208

6

46

120

226

Open Total

24

68

239

392

30

84

213

388

The status for features or improvement is depicted in table below

New Features / Improvements

Today

Last Week

Closed

13

12

Resolved

60

59

In Progress

9

10

Reopened

2

2

Ready To Review

0

0

Open

18

19

Total

102

102

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...that sweeping changes like this (or architectural changes as well) are best done early in a release cycle. The challenge we've run into here is that while 4.2 work is proceeding, master is open for 4.3 changes (and there is a preference that if something big is going to come in, nows the time to do it).

New Components in JIRA

To help clarify better on what a bug is all about, and to get it to the right visibility on it, Prasanna Santhanam and Animesh Chaturvedi have added several new component fields in JIRA to help with bug distinction. The new components:

  • Infra - Infrastructure managed by the project - CloudStack - (jenkins, builds, repos, mirrors)
  • SystemVM - SystemVM appliances, images, scripts, ssvm, cpvm
  • Virtual Router - Anything related to the Virtual Router appliance
  • XCP - Xen Cloud Platform
  • UCS - Cisco UCS System
  • Upgrade - Upgrade scripts, process, database

CloudStack Planet

Do You Have One of the Coolest CloudStack Clouds?

Gregg Watkins is doing a video on the Coolest Clouds and is looking for participants. Gregg has already spent most of the summer working with the project putting together videos on CloudStack, the CloudStack Collaboration Conference and is now looking to show case some of the best clouds in the world ran on Apache CloudStack. If you would like to participate please reach out to Gregg on the Dev or User lists.

The last video I plan on making this summer is a short video featuring some
of the coolest clouds and I am hoping you all will help me since we are all
so spread out.

Here is what I am needing to make this project a success: A webcam
interview of you (questions below) and screen casts/capture of your cloud
in action.

Because my fellowship ends August 9th I will need this information by no
later than the 29th of July.

While I appreciate how busy all of you are, I am hoping you can carve a few
moments out of a day this week and complete the questions and capture some
of your cloud. If you need any assistance in either capturing video
interviews or screens please let me know and I can help you.

This project is a great way to get your project some more visibility and I
thank you in advance for any help you can provide. Please let me know if
you have any questions or concerns.
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Apache Whirr and CloudStack for Big Data in the Clouds

Sebastien Goasguen has a tutorial on his blog about using Apache Whirr with CloudStack. "In this tutorial we introduce Apache Whirr, an application that can be used to define, provision and configure big data solutions on CloudStack based clouds. Whirr automatically starts instances in the cloud and boostrapps hadoop on them. It can also add packages such as Hive, Hbase and Yarn for map-reduce jobs."

Events

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