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Posted to dev@community.apache.org by "Ross Gardler (MS OPEN TECH)" <Ro...@microsoft.com> on 2015/02/19 07:23:37 UTC
Cloud, Big Data and DevOps tracks
I've put together three tracks (if there is space), if not then we can talk about which ones are the best and put all other sessions on the wait list.
If there is more space I also have a DevOps track we could use (it's currently short one session though I have plenty of Devops sessions I could throw in to fill it out).
The tracks are:
Cloud
-------
Operating CloudStack: sharing my tool box
Building Primary Storage with Ceph
Guaranteeing Storage Performance in CloudStack
Introduction to Apache jclouds
Replatforming the Cloud and Datacenter with Apache Mesos
Scaling Hadoop In and Out of the Private Cloud
Big Data: Technologies
----------------------------
Apache Slider makes running applications on YARN a breeze
Apache Flink: Fast and reliable large-scale data processing
Introduction to Apache Kafka
Keep Me in the Loop: INotify in the Apache Hadoop Distributed Filesystem
Significantly speedup real-world big data applications using Apache Spark
Apache Bigtop: in-memory analytic software stack .Next
Big Data: Big Picture
-------------------------
Kafka at Scale: Multi-Tier Architectures
>From MapReduce to Spark with Apache Crunch
Letters from the Trenches: Behind the scenes with Hive at Yahoo
Delivering Systems of Insight by leveraging the Hadoop Ecosystem
Get Faster Data Flows with Spring, Hadoop and Hive
Real-time Big Data Analytics with Apache Spark and Apache Solr
Ross
Re: Cloud, Big Data and DevOps tracks
Posted by jan i <ja...@apache.org>.
On 19 February 2015 at 09:03, Ross Gardler (MS OPEN TECH) <
Ross.Gardler@microsoft.com> wrote:
> Don't go cutting without discussing with me. I'm trying to build a
> narrative here. I'm happy to cut for space, but I want to be the one who
> decides (recommendations welcome). Happy to jump on IRC to speed the
> process.
>
Of course NOT you made the tracks, you make the decisions....just wanted to
point out the need to do so.
IRC might be good, when both you and Rich are awake.
Have a good nights sleep.
rgds
jan i.
>
> Will try to do row numbers tomorrow (bed now)
>
Its just a convinience, search for the track names works too, just a bit
more clicks.
>
> Sent from my Windows Phone
> ________________________________
> From: jan i<ma...@apache.org>
> Sent: 2/18/2015 11:11 PM
> To: dev@community.apache.org<ma...@community.apache.org>
> Subject: Re: Cloud, Big Data and DevOps tracks
>
> hi
>
> Looks real good.
>
> There might be a need to cut down as far as I can judge, but since these
> track form a big part of ACNA, we really need a higher number of
> wait-listed tasks.
>
> just for info, adding the row# from the spreadsheet, helps the postprocess
> work.
>
> rgds
> jan i
>
> On Thursday, February 19, 2015, Ross Gardler (MS OPEN TECH) <
> Ross.Gardler@microsoft.com> wrote:
>
> > Formatting is screwy, here's a more readable version of below:
> >
> > Cloud
> > -------
> > Operating CloudStack: sharing my tool box
> >
> > Building Primary Storage with Ceph
> >
> > Guaranteeing Storage Performance in CloudStack
> >
> > Introduction to Apache jclouds
> >
> > Replatforming the Cloud and Datacenter with Apache Mesos
> >
> > Scaling Hadoop In and Out of the Private Cloud
> >
> > Big Data: Technologies
> > ----------------------------
> > Apache Slider makes running applications on YARN a breeze
> >
> > Apache Flink: Fast and reliable large-scale data processing
> >
> > Introduction to Apache Kafka
> >
> > Keep Me in the Loop: INotify in the Apache Hadoop Distributed Filesystem
> >
> > Significantly speedup real-world big data applications using
> >
> > Apache Spark Apache Bigtop: in-memory analytic software stack .Next
> >
> > Big Data: Big Picture
> > -------------------------
> > Kafka at Scale: Multi-Tier Architectures
> >
> > From MapReduce to Spark with Apache Crunch
> >
> > Letters from the Trenches: Behind the scenes with Hive at Yahoo
> >
> > Delivering Systems of Insight by leveraging the Hadoop Ecosystem
> >
> > Get Faster Data Flows with Spring, Hadoop and Hive
> >
> > Real-time Big Data Analytics with Apache Spark and Apache Solr
> >
> >
> > -----Original Message-----
> > From: Ross Gardler (MS OPEN TECH) [mailto:Ross.Gardler@microsoft.com
> > <javascript:;>]
> > Sent: Wednesday, February 18, 2015 10:24 PM
> > To: dev@community.apache.org <javascript:;>
> > Subject: Cloud, Big Data and DevOps tracks
> >
> > I've put together three tracks (if there is space), if not then we can
> > talk about which ones are the best and put all other sessions on the wait
> > list.
> >
> > If there is more space I also have a DevOps track we could use (it's
> > currently short one session though I have plenty of Devops sessions I
> could
> > throw in to fill it out).
> >
> > The tracks are:
> >
> > Cloud
> > -------
> > Operating CloudStack: sharing my tool box Building Primary Storage with
> > Ceph Guaranteeing Storage Performance in CloudStack Introduction to
> Apache
> > jclouds Replatforming the Cloud and Datacenter with Apache Mesos Scaling
> > Hadoop In and Out of the Private Cloud
> >
> > Big Data: Technologies
> > ----------------------------
> > Apache Slider makes running applications on YARN a breeze Apache Flink:
> > Fast and reliable large-scale data processing Introduction to Apache
> Kafka
> > Keep Me in the Loop: INotify in the Apache Hadoop Distributed Filesystem
> > Significantly speedup real-world big data applications using Apache Spark
> > Apache Bigtop: in-memory analytic software stack .Next
> >
> > Big Data: Big Picture
> > -------------------------
> > Kafka at Scale: Multi-Tier Architectures From MapReduce to Spark with
> > Apache Crunch Letters from the Trenches: Behind the scenes with Hive at
> > Yahoo Delivering Systems of Insight by leveraging the Hadoop Ecosystem
> Get
> > Faster Data Flows with Spring, Hadoop and Hive Real-time Big Data
> Analytics
> > with Apache Spark and Apache Solr
> >
> > Ross
> >
> >
>
> --
> Sent from My iPad, sorry for any misspellings.
>
RE: Cloud, Big Data and DevOps tracks
Posted by "Ross Gardler (MS OPEN TECH)" <Ro...@microsoft.com>.
Don't go cutting without discussing with me. I'm trying to build a narrative here. I'm happy to cut for space, but I want to be the one who decides (recommendations welcome). Happy to jump on IRC to speed the process.
Will try to do row numbers tomorrow (bed now)
Sent from my Windows Phone
________________________________
From: jan i<ma...@apache.org>
Sent: 2/18/2015 11:11 PM
To: dev@community.apache.org<ma...@community.apache.org>
Subject: Re: Cloud, Big Data and DevOps tracks
hi
Looks real good.
There might be a need to cut down as far as I can judge, but since these
track form a big part of ACNA, we really need a higher number of
wait-listed tasks.
just for info, adding the row# from the spreadsheet, helps the postprocess
work.
rgds
jan i
On Thursday, February 19, 2015, Ross Gardler (MS OPEN TECH) <
Ross.Gardler@microsoft.com> wrote:
> Formatting is screwy, here's a more readable version of below:
>
> Cloud
> -------
> Operating CloudStack: sharing my tool box
>
> Building Primary Storage with Ceph
>
> Guaranteeing Storage Performance in CloudStack
>
> Introduction to Apache jclouds
>
> Replatforming the Cloud and Datacenter with Apache Mesos
>
> Scaling Hadoop In and Out of the Private Cloud
>
> Big Data: Technologies
> ----------------------------
> Apache Slider makes running applications on YARN a breeze
>
> Apache Flink: Fast and reliable large-scale data processing
>
> Introduction to Apache Kafka
>
> Keep Me in the Loop: INotify in the Apache Hadoop Distributed Filesystem
>
> Significantly speedup real-world big data applications using
>
> Apache Spark Apache Bigtop: in-memory analytic software stack .Next
>
> Big Data: Big Picture
> -------------------------
> Kafka at Scale: Multi-Tier Architectures
>
> From MapReduce to Spark with Apache Crunch
>
> Letters from the Trenches: Behind the scenes with Hive at Yahoo
>
> Delivering Systems of Insight by leveraging the Hadoop Ecosystem
>
> Get Faster Data Flows with Spring, Hadoop and Hive
>
> Real-time Big Data Analytics with Apache Spark and Apache Solr
>
>
> -----Original Message-----
> From: Ross Gardler (MS OPEN TECH) [mailto:Ross.Gardler@microsoft.com
> <javascript:;>]
> Sent: Wednesday, February 18, 2015 10:24 PM
> To: dev@community.apache.org <javascript:;>
> Subject: Cloud, Big Data and DevOps tracks
>
> I've put together three tracks (if there is space), if not then we can
> talk about which ones are the best and put all other sessions on the wait
> list.
>
> If there is more space I also have a DevOps track we could use (it's
> currently short one session though I have plenty of Devops sessions I could
> throw in to fill it out).
>
> The tracks are:
>
> Cloud
> -------
> Operating CloudStack: sharing my tool box Building Primary Storage with
> Ceph Guaranteeing Storage Performance in CloudStack Introduction to Apache
> jclouds Replatforming the Cloud and Datacenter with Apache Mesos Scaling
> Hadoop In and Out of the Private Cloud
>
> Big Data: Technologies
> ----------------------------
> Apache Slider makes running applications on YARN a breeze Apache Flink:
> Fast and reliable large-scale data processing Introduction to Apache Kafka
> Keep Me in the Loop: INotify in the Apache Hadoop Distributed Filesystem
> Significantly speedup real-world big data applications using Apache Spark
> Apache Bigtop: in-memory analytic software stack .Next
>
> Big Data: Big Picture
> -------------------------
> Kafka at Scale: Multi-Tier Architectures From MapReduce to Spark with
> Apache Crunch Letters from the Trenches: Behind the scenes with Hive at
> Yahoo Delivering Systems of Insight by leveraging the Hadoop Ecosystem Get
> Faster Data Flows with Spring, Hadoop and Hive Real-time Big Data Analytics
> with Apache Spark and Apache Solr
>
> Ross
>
>
--
Sent from My iPad, sorry for any misspellings.
Re: Cloud, Big Data and DevOps tracks
Posted by jan i <ja...@apache.org>.
hi
Looks real good.
There might be a need to cut down as far as I can judge, but since these
track form a big part of ACNA, we really need a higher number of
wait-listed tasks.
just for info, adding the row# from the spreadsheet, helps the postprocess
work.
rgds
jan i
On Thursday, February 19, 2015, Ross Gardler (MS OPEN TECH) <
Ross.Gardler@microsoft.com> wrote:
> Formatting is screwy, here's a more readable version of below:
>
> Cloud
> -------
> Operating CloudStack: sharing my tool box
>
> Building Primary Storage with Ceph
>
> Guaranteeing Storage Performance in CloudStack
>
> Introduction to Apache jclouds
>
> Replatforming the Cloud and Datacenter with Apache Mesos
>
> Scaling Hadoop In and Out of the Private Cloud
>
> Big Data: Technologies
> ----------------------------
> Apache Slider makes running applications on YARN a breeze
>
> Apache Flink: Fast and reliable large-scale data processing
>
> Introduction to Apache Kafka
>
> Keep Me in the Loop: INotify in the Apache Hadoop Distributed Filesystem
>
> Significantly speedup real-world big data applications using
>
> Apache Spark Apache Bigtop: in-memory analytic software stack .Next
>
> Big Data: Big Picture
> -------------------------
> Kafka at Scale: Multi-Tier Architectures
>
> From MapReduce to Spark with Apache Crunch
>
> Letters from the Trenches: Behind the scenes with Hive at Yahoo
>
> Delivering Systems of Insight by leveraging the Hadoop Ecosystem
>
> Get Faster Data Flows with Spring, Hadoop and Hive
>
> Real-time Big Data Analytics with Apache Spark and Apache Solr
>
>
> -----Original Message-----
> From: Ross Gardler (MS OPEN TECH) [mailto:Ross.Gardler@microsoft.com
> <javascript:;>]
> Sent: Wednesday, February 18, 2015 10:24 PM
> To: dev@community.apache.org <javascript:;>
> Subject: Cloud, Big Data and DevOps tracks
>
> I've put together three tracks (if there is space), if not then we can
> talk about which ones are the best and put all other sessions on the wait
> list.
>
> If there is more space I also have a DevOps track we could use (it's
> currently short one session though I have plenty of Devops sessions I could
> throw in to fill it out).
>
> The tracks are:
>
> Cloud
> -------
> Operating CloudStack: sharing my tool box Building Primary Storage with
> Ceph Guaranteeing Storage Performance in CloudStack Introduction to Apache
> jclouds Replatforming the Cloud and Datacenter with Apache Mesos Scaling
> Hadoop In and Out of the Private Cloud
>
> Big Data: Technologies
> ----------------------------
> Apache Slider makes running applications on YARN a breeze Apache Flink:
> Fast and reliable large-scale data processing Introduction to Apache Kafka
> Keep Me in the Loop: INotify in the Apache Hadoop Distributed Filesystem
> Significantly speedup real-world big data applications using Apache Spark
> Apache Bigtop: in-memory analytic software stack .Next
>
> Big Data: Big Picture
> -------------------------
> Kafka at Scale: Multi-Tier Architectures From MapReduce to Spark with
> Apache Crunch Letters from the Trenches: Behind the scenes with Hive at
> Yahoo Delivering Systems of Insight by leveraging the Hadoop Ecosystem Get
> Faster Data Flows with Spring, Hadoop and Hive Real-time Big Data Analytics
> with Apache Spark and Apache Solr
>
> Ross
>
>
--
Sent from My iPad, sorry for any misspellings.
RE: Cloud, Big Data and DevOps tracks
Posted by "Ross Gardler (MS OPEN TECH)" <Ro...@microsoft.com>.
Formatting is screwy, here's a more readable version of below:
Cloud
-------
Operating CloudStack: sharing my tool box
Building Primary Storage with Ceph
Guaranteeing Storage Performance in CloudStack
Introduction to Apache jclouds
Replatforming the Cloud and Datacenter with Apache Mesos
Scaling Hadoop In and Out of the Private Cloud
Big Data: Technologies
----------------------------
Apache Slider makes running applications on YARN a breeze
Apache Flink: Fast and reliable large-scale data processing
Introduction to Apache Kafka
Keep Me in the Loop: INotify in the Apache Hadoop Distributed Filesystem
Significantly speedup real-world big data applications using
Apache Spark Apache Bigtop: in-memory analytic software stack .Next
Big Data: Big Picture
-------------------------
Kafka at Scale: Multi-Tier Architectures
>From MapReduce to Spark with Apache Crunch
Letters from the Trenches: Behind the scenes with Hive at Yahoo
Delivering Systems of Insight by leveraging the Hadoop Ecosystem
Get Faster Data Flows with Spring, Hadoop and Hive
Real-time Big Data Analytics with Apache Spark and Apache Solr
-----Original Message-----
From: Ross Gardler (MS OPEN TECH) [mailto:Ross.Gardler@microsoft.com]
Sent: Wednesday, February 18, 2015 10:24 PM
To: dev@community.apache.org
Subject: Cloud, Big Data and DevOps tracks
I've put together three tracks (if there is space), if not then we can talk about which ones are the best and put all other sessions on the wait list.
If there is more space I also have a DevOps track we could use (it's currently short one session though I have plenty of Devops sessions I could throw in to fill it out).
The tracks are:
Cloud
-------
Operating CloudStack: sharing my tool box Building Primary Storage with Ceph Guaranteeing Storage Performance in CloudStack Introduction to Apache jclouds Replatforming the Cloud and Datacenter with Apache Mesos Scaling Hadoop In and Out of the Private Cloud
Big Data: Technologies
----------------------------
Apache Slider makes running applications on YARN a breeze Apache Flink: Fast and reliable large-scale data processing Introduction to Apache Kafka Keep Me in the Loop: INotify in the Apache Hadoop Distributed Filesystem Significantly speedup real-world big data applications using Apache Spark Apache Bigtop: in-memory analytic software stack .Next
Big Data: Big Picture
-------------------------
Kafka at Scale: Multi-Tier Architectures From MapReduce to Spark with Apache Crunch Letters from the Trenches: Behind the scenes with Hive at Yahoo Delivering Systems of Insight by leveraging the Hadoop Ecosystem Get Faster Data Flows with Spring, Hadoop and Hive Real-time Big Data Analytics with Apache Spark and Apache Solr
Ross
Re: Cloud, Big Data and DevOps tracks
Posted by Rich Bowen <rb...@rcbowen.com>.
On 02/25/2015 06:46 PM, James Taylor wrote:
> I agree, Rich - can't have a talk on all 161 TLPs. But round about the
> 4th or 5th Tika talk (and no knock on that project - I'm sure it's a
> great project), I would have hoped you'd have considered other TLPs
> that don't have any representation (and that did submit a talk).
It's a bit of a catch-22. We have a limited number of tracks, and when
we have passionate champions come from various project communities to
pitch their track, and we're ignorant, as a group, of this other project
space, we have to make decisions based on what we know and who is
willing to do the work.
I've sent you private email with one possible option. Beyond that, the
solution here is to start campaigning for track space at ApacheCon EU.
(CFP coming soon at
http://events.linuxfoundation.org/events/apachecon-europe/program/cfp )
We cannot (and should not) cover every project at every event. We'd love
to see LF pitch a particular theme for a conference, and craft our
content around that. We'd also love to see N topic-specific ApacheCons
paced throughout the year, so that we don't have to pick and choose
quite so much. These things cost money, and we have explicitly and
intentionally delegated money matters to LF.
I would love to have an OSCON-sized venue, budget, and schedule, where
we could cover every TLP and bring 5000 people to come to the party.
Indeed, it is my eventual goal. But until we are there, we have to try
to build a schedule around those people/projects who are available to
put in the time and passion to craft and promote the content.
This is the other problem - if we build content around a TLP that hasn't
bothered to show up to help, then we (the few, the proud, the ignorant)
are also on the line to promote that content that we're ignorant of.
--
Rich Bowen - rbowen@rcbowen.com - @rbowen
http://apachecon.com/ - @apachecon
Re: Cloud, Big Data and DevOps tracks
Posted by James Taylor <ja...@apache.org>.
I agree, Rich - can't have a talk on all 161 TLPs. But round about the
4th or 5th Tika talk (and no knock on that project - I'm sure it's a
great project), I would have hoped you'd have considered other TLPs
that don't have any representation (and that did submit a talk).
On Wed, Feb 25, 2015 at 1:29 PM, Ross Gardler (MS OPEN TECH)
<Ro...@microsoft.com> wrote:
> And also note that most of those technologies are represented in at least one of the talks in other tracks.
>
> Microsoft Open Technologies, Inc.
> A subsidiary of Microsoft Corporation
>
> -----Original Message-----
> From: Rich Bowen [mailto:rbowen@rcbowen.com]
> Sent: Wednesday, February 25, 2015 1:09 PM
> To: dev@community.apache.org
> Subject: Re: Cloud, Big Data and DevOps tracks
>
>
>
> On 02/25/2015 01:01 PM, James Taylor wrote:
>> No HBase, Phoenix, Drill, or Cassandra talks and 6 Tika talks, 5 Spark
>> talks, 3 Cordova talks, 3 ODT talks? IMHO, seems out of balance.
>
>
>
>
> With 126 conference sessions and 161 TLPs, it is simply impossible to represent every project, and so we have to make some decisions, and we need help from the community to make those decisions.
>
> I asked - no, begged - for people to step up to craft the content. The people (and the projects) that responded to that request are more represented than those that didn't.
>
>
>
>
>>
>> On Thu, Feb 19, 2015 at 6:16 AM, Ross Gardler (MS OPEN TECH)
>> <Ro...@microsoft.com> wrote:
>>> I covered that in a separate mail. In the end I left your track untouched. I've recorded it in the spreadsheet as a "container" track for you.
>>>
>>> Ross
>>>
>>> -----Original Message-----
>>> From: Joe Brockmeier [mailto:jzb@zonker.net]
>>> Sent: Thursday, February 19, 2015 6:15 AM
>>> To: dev@community.apache.org
>>> Subject: Re: Cloud, Big Data and DevOps tracks
>>>
>>> What happened with the container track? I don't see that reflected in the "Cloud" track.
>>>
>>>
>>>
>>> On Thu, Feb 19, 2015, at 12:23 AM, Ross Gardler (MS OPEN TECH) wrote:
>>>> I've put together three tracks (if there is space), if not then we
>>>> can talk about which ones are the best and put all other sessions on
>>>> the wait list.
>>>>
>>>> If there is more space I also have a DevOps track we could use (it's
>>>> currently short one session though I have plenty of Devops sessions
>>>> I could throw in to fill it out).
>>>>
>>>> The tracks are:
>>>>
>>>> Cloud
>>>> -------
>>>> Operating CloudStack: sharing my tool box Building Primary Storage
>>>> with Ceph Guaranteeing Storage Performance in CloudStack
>>>> Introduction to Apache jclouds Replatforming the Cloud and
>>>> Datacenter with Apache Mesos Scaling Hadoop In and Out of the
>>>> Private Cloud
>>>>
>>>> Big Data: Technologies
>>>> ----------------------------
>>>> Apache Slider makes running applications on YARN a breeze Apache
>>>> Flink: Fast and reliable large-scale data processing Introduction to
>>>> Apache Kafka Keep Me in the Loop: INotify in the Apache Hadoop
>>>> Distributed Filesystem Significantly speedup real-world big data
>>>> applications using Apache Spark Apache Bigtop: in-memory analytic
>>>> software stack .Next
>>>>
>>>> Big Data: Big Picture
>>>> -------------------------
>>>> Kafka at Scale: Multi-Tier Architectures From MapReduce to Spark
>>>> with Apache Crunch Letters from the Trenches: Behind the scenes with
>>>> Hive at Yahoo Delivering Systems of Insight by leveraging the Hadoop
>>>> Ecosystem Get Faster Data Flows with Spring, Hadoop and Hive
>>>> Real-time Big Data Analytics with Apache Spark and Apache Solr
>>>>
>>>> Ross
>>>>
>>>
>>>
>>> Best,
>>>
>>> jzb
>>> --
>>> Joe Brockmeier
>>> jzb@zonker.net
>>> Twitter: @jzb
>>> http://www.dissociatedpress.net/
>
>
> --
> Rich Bowen - rbowen@rcbowen.com - @rbowen http://apachecon.com/ - @apachecon
RE: Cloud, Big Data and DevOps tracks
Posted by "Ross Gardler (MS OPEN TECH)" <Ro...@microsoft.com>.
And also note that most of those technologies are represented in at least one of the talks in other tracks.
Microsoft Open Technologies, Inc.
A subsidiary of Microsoft Corporation
-----Original Message-----
From: Rich Bowen [mailto:rbowen@rcbowen.com]
Sent: Wednesday, February 25, 2015 1:09 PM
To: dev@community.apache.org
Subject: Re: Cloud, Big Data and DevOps tracks
On 02/25/2015 01:01 PM, James Taylor wrote:
> No HBase, Phoenix, Drill, or Cassandra talks and 6 Tika talks, 5 Spark
> talks, 3 Cordova talks, 3 ODT talks? IMHO, seems out of balance.
With 126 conference sessions and 161 TLPs, it is simply impossible to represent every project, and so we have to make some decisions, and we need help from the community to make those decisions.
I asked - no, begged - for people to step up to craft the content. The people (and the projects) that responded to that request are more represented than those that didn't.
>
> On Thu, Feb 19, 2015 at 6:16 AM, Ross Gardler (MS OPEN TECH)
> <Ro...@microsoft.com> wrote:
>> I covered that in a separate mail. In the end I left your track untouched. I've recorded it in the spreadsheet as a "container" track for you.
>>
>> Ross
>>
>> -----Original Message-----
>> From: Joe Brockmeier [mailto:jzb@zonker.net]
>> Sent: Thursday, February 19, 2015 6:15 AM
>> To: dev@community.apache.org
>> Subject: Re: Cloud, Big Data and DevOps tracks
>>
>> What happened with the container track? I don't see that reflected in the "Cloud" track.
>>
>>
>>
>> On Thu, Feb 19, 2015, at 12:23 AM, Ross Gardler (MS OPEN TECH) wrote:
>>> I've put together three tracks (if there is space), if not then we
>>> can talk about which ones are the best and put all other sessions on
>>> the wait list.
>>>
>>> If there is more space I also have a DevOps track we could use (it's
>>> currently short one session though I have plenty of Devops sessions
>>> I could throw in to fill it out).
>>>
>>> The tracks are:
>>>
>>> Cloud
>>> -------
>>> Operating CloudStack: sharing my tool box Building Primary Storage
>>> with Ceph Guaranteeing Storage Performance in CloudStack
>>> Introduction to Apache jclouds Replatforming the Cloud and
>>> Datacenter with Apache Mesos Scaling Hadoop In and Out of the
>>> Private Cloud
>>>
>>> Big Data: Technologies
>>> ----------------------------
>>> Apache Slider makes running applications on YARN a breeze Apache
>>> Flink: Fast and reliable large-scale data processing Introduction to
>>> Apache Kafka Keep Me in the Loop: INotify in the Apache Hadoop
>>> Distributed Filesystem Significantly speedup real-world big data
>>> applications using Apache Spark Apache Bigtop: in-memory analytic
>>> software stack .Next
>>>
>>> Big Data: Big Picture
>>> -------------------------
>>> Kafka at Scale: Multi-Tier Architectures From MapReduce to Spark
>>> with Apache Crunch Letters from the Trenches: Behind the scenes with
>>> Hive at Yahoo Delivering Systems of Insight by leveraging the Hadoop
>>> Ecosystem Get Faster Data Flows with Spring, Hadoop and Hive
>>> Real-time Big Data Analytics with Apache Spark and Apache Solr
>>>
>>> Ross
>>>
>>
>>
>> Best,
>>
>> jzb
>> --
>> Joe Brockmeier
>> jzb@zonker.net
>> Twitter: @jzb
>> http://www.dissociatedpress.net/
--
Rich Bowen - rbowen@rcbowen.com - @rbowen http://apachecon.com/ - @apachecon
Re: Cloud, Big Data and DevOps tracks
Posted by Rich Bowen <rb...@rcbowen.com>.
On 02/25/2015 01:01 PM, James Taylor wrote:
> No HBase, Phoenix, Drill, or Cassandra talks and 6 Tika talks, 5 Spark
> talks, 3 Cordova talks, 3 ODT talks? IMHO, seems out of balance.
With 126 conference sessions and 161 TLPs, it is simply impossible to
represent every project, and so we have to make some decisions, and we
need help from the community to make those decisions.
I asked - no, begged - for people to step up to craft the content. The
people (and the projects) that responded to that request are more
represented than those that didn't.
>
> On Thu, Feb 19, 2015 at 6:16 AM, Ross Gardler (MS OPEN TECH)
> <Ro...@microsoft.com> wrote:
>> I covered that in a separate mail. In the end I left your track untouched. I've recorded it in the spreadsheet as a "container" track for you.
>>
>> Ross
>>
>> -----Original Message-----
>> From: Joe Brockmeier [mailto:jzb@zonker.net]
>> Sent: Thursday, February 19, 2015 6:15 AM
>> To: dev@community.apache.org
>> Subject: Re: Cloud, Big Data and DevOps tracks
>>
>> What happened with the container track? I don't see that reflected in the "Cloud" track.
>>
>>
>>
>> On Thu, Feb 19, 2015, at 12:23 AM, Ross Gardler (MS OPEN TECH) wrote:
>>> I've put together three tracks (if there is space), if not then we can
>>> talk about which ones are the best and put all other sessions on the
>>> wait list.
>>>
>>> If there is more space I also have a DevOps track we could use (it's
>>> currently short one session though I have plenty of Devops sessions I
>>> could throw in to fill it out).
>>>
>>> The tracks are:
>>>
>>> Cloud
>>> -------
>>> Operating CloudStack: sharing my tool box Building Primary Storage
>>> with Ceph Guaranteeing Storage Performance in CloudStack Introduction
>>> to Apache jclouds Replatforming the Cloud and Datacenter with Apache
>>> Mesos Scaling Hadoop In and Out of the Private Cloud
>>>
>>> Big Data: Technologies
>>> ----------------------------
>>> Apache Slider makes running applications on YARN a breeze Apache
>>> Flink: Fast and reliable large-scale data processing Introduction to
>>> Apache Kafka Keep Me in the Loop: INotify in the Apache Hadoop
>>> Distributed Filesystem Significantly speedup real-world big data
>>> applications using Apache Spark Apache Bigtop: in-memory analytic
>>> software stack .Next
>>>
>>> Big Data: Big Picture
>>> -------------------------
>>> Kafka at Scale: Multi-Tier Architectures From MapReduce to Spark with
>>> Apache Crunch Letters from the Trenches: Behind the scenes with Hive
>>> at Yahoo Delivering Systems of Insight by leveraging the Hadoop
>>> Ecosystem Get Faster Data Flows with Spring, Hadoop and Hive Real-time
>>> Big Data Analytics with Apache Spark and Apache Solr
>>>
>>> Ross
>>>
>>
>>
>> Best,
>>
>> jzb
>> --
>> Joe Brockmeier
>> jzb@zonker.net
>> Twitter: @jzb
>> http://www.dissociatedpress.net/
--
Rich Bowen - rbowen@rcbowen.com - @rbowen
http://apachecon.com/ - @apachecon
Re: Cloud, Big Data and DevOps tracks
Posted by James Taylor <ja...@apache.org>.
No HBase, Phoenix, Drill, or Cassandra talks and 6 Tika talks, 5 Spark
talks, 3 Cordova talks, 3 ODT talks? IMHO, seems out of balance.
On Thu, Feb 19, 2015 at 6:16 AM, Ross Gardler (MS OPEN TECH)
<Ro...@microsoft.com> wrote:
> I covered that in a separate mail. In the end I left your track untouched. I've recorded it in the spreadsheet as a "container" track for you.
>
> Ross
>
> -----Original Message-----
> From: Joe Brockmeier [mailto:jzb@zonker.net]
> Sent: Thursday, February 19, 2015 6:15 AM
> To: dev@community.apache.org
> Subject: Re: Cloud, Big Data and DevOps tracks
>
> What happened with the container track? I don't see that reflected in the "Cloud" track.
>
>
>
> On Thu, Feb 19, 2015, at 12:23 AM, Ross Gardler (MS OPEN TECH) wrote:
>> I've put together three tracks (if there is space), if not then we can
>> talk about which ones are the best and put all other sessions on the
>> wait list.
>>
>> If there is more space I also have a DevOps track we could use (it's
>> currently short one session though I have plenty of Devops sessions I
>> could throw in to fill it out).
>>
>> The tracks are:
>>
>> Cloud
>> -------
>> Operating CloudStack: sharing my tool box Building Primary Storage
>> with Ceph Guaranteeing Storage Performance in CloudStack Introduction
>> to Apache jclouds Replatforming the Cloud and Datacenter with Apache
>> Mesos Scaling Hadoop In and Out of the Private Cloud
>>
>> Big Data: Technologies
>> ----------------------------
>> Apache Slider makes running applications on YARN a breeze Apache
>> Flink: Fast and reliable large-scale data processing Introduction to
>> Apache Kafka Keep Me in the Loop: INotify in the Apache Hadoop
>> Distributed Filesystem Significantly speedup real-world big data
>> applications using Apache Spark Apache Bigtop: in-memory analytic
>> software stack .Next
>>
>> Big Data: Big Picture
>> -------------------------
>> Kafka at Scale: Multi-Tier Architectures From MapReduce to Spark with
>> Apache Crunch Letters from the Trenches: Behind the scenes with Hive
>> at Yahoo Delivering Systems of Insight by leveraging the Hadoop
>> Ecosystem Get Faster Data Flows with Spring, Hadoop and Hive Real-time
>> Big Data Analytics with Apache Spark and Apache Solr
>>
>> Ross
>>
>
>
> Best,
>
> jzb
> --
> Joe Brockmeier
> jzb@zonker.net
> Twitter: @jzb
> http://www.dissociatedpress.net/
RE: Cloud, Big Data and DevOps tracks
Posted by "Ross Gardler (MS OPEN TECH)" <Ro...@microsoft.com>.
I covered that in a separate mail. In the end I left your track untouched. I've recorded it in the spreadsheet as a "container" track for you.
Ross
-----Original Message-----
From: Joe Brockmeier [mailto:jzb@zonker.net]
Sent: Thursday, February 19, 2015 6:15 AM
To: dev@community.apache.org
Subject: Re: Cloud, Big Data and DevOps tracks
What happened with the container track? I don't see that reflected in the "Cloud" track.
On Thu, Feb 19, 2015, at 12:23 AM, Ross Gardler (MS OPEN TECH) wrote:
> I've put together three tracks (if there is space), if not then we can
> talk about which ones are the best and put all other sessions on the
> wait list.
>
> If there is more space I also have a DevOps track we could use (it's
> currently short one session though I have plenty of Devops sessions I
> could throw in to fill it out).
>
> The tracks are:
>
> Cloud
> -------
> Operating CloudStack: sharing my tool box Building Primary Storage
> with Ceph Guaranteeing Storage Performance in CloudStack Introduction
> to Apache jclouds Replatforming the Cloud and Datacenter with Apache
> Mesos Scaling Hadoop In and Out of the Private Cloud
>
> Big Data: Technologies
> ----------------------------
> Apache Slider makes running applications on YARN a breeze Apache
> Flink: Fast and reliable large-scale data processing Introduction to
> Apache Kafka Keep Me in the Loop: INotify in the Apache Hadoop
> Distributed Filesystem Significantly speedup real-world big data
> applications using Apache Spark Apache Bigtop: in-memory analytic
> software stack .Next
>
> Big Data: Big Picture
> -------------------------
> Kafka at Scale: Multi-Tier Architectures From MapReduce to Spark with
> Apache Crunch Letters from the Trenches: Behind the scenes with Hive
> at Yahoo Delivering Systems of Insight by leveraging the Hadoop
> Ecosystem Get Faster Data Flows with Spring, Hadoop and Hive Real-time
> Big Data Analytics with Apache Spark and Apache Solr
>
> Ross
>
Best,
jzb
--
Joe Brockmeier
jzb@zonker.net
Twitter: @jzb
http://www.dissociatedpress.net/
Re: Cloud, Big Data and DevOps tracks
Posted by Rich Bowen <rb...@rcbowen.com>.
On 02/19/2015 09:14 AM, Joe Brockmeier wrote:
> What happened with the container track? I don't see that reflected in
> the "Cloud" track.
>
http://apacheconna2015.sched.org/overview/type/containers should be what
you provided.
--Rich
>
>
> On Thu, Feb 19, 2015, at 12:23 AM, Ross Gardler (MS OPEN TECH) wrote:
>> I've put together three tracks (if there is space), if not then we can
>> talk about which ones are the best and put all other sessions on the wait
>> list.
>>
>> If there is more space I also have a DevOps track we could use (it's
>> currently short one session though I have plenty of Devops sessions I
>> could throw in to fill it out).
>>
>> The tracks are:
>>
>> Cloud
>> -------
>> Operating CloudStack: sharing my tool box
>> Building Primary Storage with Ceph
>> Guaranteeing Storage Performance in CloudStack
>> Introduction to Apache jclouds
>> Replatforming the Cloud and Datacenter with Apache Mesos
>> Scaling Hadoop In and Out of the Private Cloud
>>
>> Big Data: Technologies
>> ----------------------------
>> Apache Slider makes running applications on YARN a breeze
>> Apache Flink: Fast and reliable large-scale data processing
>> Introduction to Apache Kafka
>> Keep Me in the Loop: INotify in the Apache Hadoop Distributed Filesystem
>> Significantly speedup real-world big data applications using Apache Spark
>> Apache Bigtop: in-memory analytic software stack .Next
>>
>> Big Data: Big Picture
>> -------------------------
>> Kafka at Scale: Multi-Tier Architectures
>> From MapReduce to Spark with Apache Crunch
>> Letters from the Trenches: Behind the scenes with Hive at Yahoo
>> Delivering Systems of Insight by leveraging the Hadoop Ecosystem
>> Get Faster Data Flows with Spring, Hadoop and Hive
>> Real-time Big Data Analytics with Apache Spark and Apache Solr
>>
>> Ross
>>
>
>
> Best,
>
> jzb
>
--
Rich Bowen - rbowen@rcbowen.com - @rbowen
http://apachecon.com/ - @apachecon
Re: Cloud, Big Data and DevOps tracks
Posted by Joe Brockmeier <jz...@zonker.net>.
What happened with the container track? I don't see that reflected in
the "Cloud" track.
On Thu, Feb 19, 2015, at 12:23 AM, Ross Gardler (MS OPEN TECH) wrote:
> I've put together three tracks (if there is space), if not then we can
> talk about which ones are the best and put all other sessions on the wait
> list.
>
> If there is more space I also have a DevOps track we could use (it's
> currently short one session though I have plenty of Devops sessions I
> could throw in to fill it out).
>
> The tracks are:
>
> Cloud
> -------
> Operating CloudStack: sharing my tool box
> Building Primary Storage with Ceph
> Guaranteeing Storage Performance in CloudStack
> Introduction to Apache jclouds
> Replatforming the Cloud and Datacenter with Apache Mesos
> Scaling Hadoop In and Out of the Private Cloud
>
> Big Data: Technologies
> ----------------------------
> Apache Slider makes running applications on YARN a breeze
> Apache Flink: Fast and reliable large-scale data processing
> Introduction to Apache Kafka
> Keep Me in the Loop: INotify in the Apache Hadoop Distributed Filesystem
> Significantly speedup real-world big data applications using Apache Spark
> Apache Bigtop: in-memory analytic software stack .Next
>
> Big Data: Big Picture
> -------------------------
> Kafka at Scale: Multi-Tier Architectures
> From MapReduce to Spark with Apache Crunch
> Letters from the Trenches: Behind the scenes with Hive at Yahoo
> Delivering Systems of Insight by leveraging the Hadoop Ecosystem
> Get Faster Data Flows with Spring, Hadoop and Hive
> Real-time Big Data Analytics with Apache Spark and Apache Solr
>
> Ross
>
Best,
jzb
--
Joe Brockmeier
jzb@zonker.net
Twitter: @jzb
http://www.dissociatedpress.net/