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Google Cloud Platform for Startups

Google Cloud Platform for Startups. Niedziela, 24 stycznia 2016. Google Cloud Datastore - Objectify vs. JPA DataNucleus (performance comparison). Please see current performance test results: https:/ github.com/maciej-arkit/GAE-Datastore-Performance-Test/blob/master/results/Objectify vs JPA - performance test plan.ods. There is no clear winner regarding performance - both JPA and Objectify may perform better in some areas but none perform better in all tests. Tests listed below cover only specific cases.

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Google Cloud Platform for Startups. Niedziela, 24 stycznia 2016. Google Cloud Datastore - Objectify vs. JPA DataNucleus (performance comparison). Please see current performance test results: https:/ github.com/maciej-arkit/GAE-Datastore-Performance-Test/blob/master/results/Objectify vs JPA - performance test plan.ods. There is no clear winner regarding performance - both JPA and Objectify may perform better in some areas but none perform better in all tests. Tests listed below cover only specific cases.
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Google Cloud Platform for Startups | startup-with-gae.blogspot.com Reviews

https://startup-with-gae.blogspot.com

Google Cloud Platform for Startups. Niedziela, 24 stycznia 2016. Google Cloud Datastore - Objectify vs. JPA DataNucleus (performance comparison). Please see current performance test results: https:/ github.com/maciej-arkit/GAE-Datastore-Performance-Test/blob/master/results/Objectify vs JPA - performance test plan.ods. There is no clear winner regarding performance - both JPA and Objectify may perform better in some areas but none perform better in all tests. Tests listed below cover only specific cases.

INTERNAL PAGES

startup-with-gae.blogspot.com startup-with-gae.blogspot.com
1

Google Cloud Platform for Startups: Geospatial Queries with Google Cloud Datastore (Java)

http://startup-with-gae.blogspot.com/2016/01/geospatial-queries-with-google-cloud.html

Google Cloud Platform for Startups. Czwartek, 7 stycznia 2016. Geospatial Queries with Google Cloud Datastore (Java). This article describes geospatial queries for Google Cloud Datastore. Please keep in mind that using Google Cloud Platform. You can also use Cloud SQL. Compatible with MySQL), which allows to use much more solutions / libraries for geospatial queries. PROBLEM: Currently Google Cloud Datastore doesn't provide built-in API to execute geospatial queries. Step 1: Annotate your domain class.

2

Google Cloud Platform for Startups: Google App Engine Datastore - OneToMany update operation fails due to bug in JPA datanucleus

http://startup-with-gae.blogspot.com/2015/05/google-app-engine-datastore-onetomany.html

Google Cloud Platform for Startups. Niedziela, 10 maja 2015. Google App Engine Datastore - OneToMany update operation fails due to bug in JPA datanucleus. Google Cloud Platform documentation states that JPA and JDO should not be used with Datastore ( see:. Developers should consider using low level Datastore API (for simple cases) or use Objectify. Library which is specifically created for Datastore. Code to reproduce this issue is available HERE. When this issue occurs. 313, 3.1.4. 211, 2.1.2. GoogleApp...

3

Google Cloud Platform for Startups: How to configure custom domain for Google App Engine

http://startup-with-gae.blogspot.com/2015/06/how-to-configure-custom-domain-for.html

Google Cloud Platform for Startups. Niedziela, 14 czerwca 2015. How to configure custom domain for Google App Engine. Please watch video for instructions. Below you can find additional useful information during the setup. 8216;A’ and "AAAA" entries for your domain. Please setup those records in DNS settings panel in your domain provider website. Please remove default DNS settings preconfigured by our domain provider, if needed. How to setup "www" subdomain for your domain (ex. www.domain.com).

4

Google Cloud Platform for Startups: stycznia 2016

http://startup-with-gae.blogspot.com/2016_01_01_archive.html

Google Cloud Platform for Startups. Niedziela, 24 stycznia 2016. Google Cloud Datastore - Objectify vs. JPA DataNucleus (performance comparison). Please see current performance test results: https:/ github.com/maciej-arkit/GAE-Datastore-Performance-Test/blob/master/results/Objectify vs JPA - performance test plan.ods. There is no clear winner regarding performance - both JPA and Objectify may perform better in some areas but none perform better in all tests. Tests listed below cover only specific cases.

5

Google Cloud Platform for Startups: How to deploy Ruby on Rails application on Google Compute Engine

http://startup-with-gae.blogspot.com/2015/08/how-to-deploy-ruby-on-rails-application.html

Google Cloud Platform for Startups. Czwartek, 6 sierpnia 2015. How to deploy Ruby on Rails application on Google Compute Engine. To allow better navigation, all actions to be taken are marked with. This is basic set of instructions to deploy Ruby on Rails application on Google Compute Engine. Is IaaS (Infrastructure as a Service). In other words, it's managed Virtual Machine, where you can install your software. Step 1: Create Google Cloud Project. Login to your google account. Click on "Create Project".

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Google Cloud Platform for Startups. Niedziela, 24 stycznia 2016. Google Cloud Datastore - Objectify vs. JPA DataNucleus (performance comparison). Please see current performance test results: https:/ github.com/maciej-arkit/GAE-Datastore-Performance-Test/blob/master/results/Objectify vs JPA - performance test plan.ods. There is no clear winner regarding performance - both JPA and Objectify may perform better in some areas but none perform better in all tests. Tests listed below cover only specific cases.

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