Is there an update when we might expect the resources to be available
in the Budapest node?

On 29/04/2015 08:42, dave.watson@trendalyze.com
wrote:

> Franck
>
> From Spain2 region:
>
> This is information from
Spain2:
>
> INFO: Connected to project dave-watson (ID
00000000000000000000000000005623)
>
> On 28/04/2015 17:11, Franck Le
Gall wrote:
>
>> Dave
>>
>> Could you let me know what is your tenant
ID ?
>>
>> Thank you
>>
>> ----Message d'origine----
>> De : S�ndor
Laki (JIRA) communityaccount@fiware.org
>> Envoy� : mardi 28
avril 2015 18:38
>> � : Franck Le Gall
>> Objet : [FI-WARE-JIRA]
(FLUA-204) Assign Resources and Status for: Trendalyze Decisions
>>
>>
[
https://jira.fiware.org/browse/FLUA-204?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=20149#comment-20149]

>>
>> S�ndor Laki commented on FLUA-204:
>>
----------------------------------
>>
>> Dear Franck,
>>
>> In
Budapest, we are migrating to the new version of the cloud environment
this week or early next week at the latest. After that we will assign
the extra IPs to your tenant. However, we need some more information:
>>
the company name or user names and tenant IDs in the FIWARE Lab portal.
Please check them in the portal, and send us so that we could increase
the quotas.
>>
>> Best regards,
>> Sandor
>>
>>> Assign Resources and
Status for: Trendalyze Decisions
----------------------------------------------------- Key: FLUA-204 URL:
https://jira.fiware.org/browse/FLUA-204 [1] Project: FIWARE LAB Upgrade
Account Issue Type: AccountUpgradeByNode Components: FICHe Reporter: FW
External User Assignee: Budapest Node Helpdesk eHealth Sensor Network
PaaS aims to provide a FI-Ware based platform for healthcare data
collection, aggregation, integration and analytics. Trendalyze is
designed for the internet of things (IoT) and leverages open source
technologies from Google and Twitter to expand the Cosmos big data
analytics enabler. Unique ability to perform trend and pattern visual
search; descriptive, predictive and prescriptive analytics with multiple
IoT time series data streams. When deployed in Acute hospital
environment it can provide more effective monitoring and help to reduce
mortality rates substantially. The PaaS enables a solution that has the
potential to save 10% of acute care costs making it one of the most
promising solutions for eHealth today. Reporter: David Watson
E-mail: [mailto:dave.watson@trendalyze.com [2]]
>>
>> –
>> This
message was sent by Atlassian JIRA
>> (v6.4.1#64016)

Links:
------
[1] https://jira.fiware.org/browse/FLUA-204
[2]
dave.watson@trendalyze.com

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[Created via e-mail received from: dave.watson@trendalyze.com]