Presentation from GDG DevFest Ukraine 2015 – the biggest Google related event in the country. October 23-24, Lviv. Learn more at http://devfest.gdg.org.ua/
Tag Archives: Cloud
Run 1,000 Docker Redis Containers in Less Than 15 Minutes on a Cluster of 5 Cloud Servers with 2GB of Memory Each
While application portability (i.e. being able to run the same application on any Linux host) is still the leading driver for the adoption of Linux Containers, another key advantages is being able to optimize server utilization so that you can use every bit of compute. Of course, for upstream environments, like PROD, you may still want to dedicate more than enough CPU & Memory for your workload – but in DEV/TEST environments, which typically represent the majority of compute resource consumption in an organization, optimizing server utilization can lead to significant cost savings.
This all sounds good on paper — but DevOps engineers and infrastructure operators still struggle with the following questions:
- How can I group servers across different clouds into clusters that map to business groups, development teams, or application projects?
- How do I monitor these clusters and get insight into the resource consumption by different groups or users?
- How do I set up networking across servers in a cluster so that containers across multiple hosts can communicate with each other?
- How do I define my own capacity-based placement policy so that I can use every bit of compute in a cluster?
- How can I automatically scale out the cluster to meet the demands of the developers for new container-based application deployments?
DCHQ, available in hosted and on-premise versions, addresses all of these challenges and provides the most advanced infrastructure provisioning, auto-scaling, clustering and placement policies for infrastructure operators or DevOps engineers.
- A user can register any Linux host running anywhere by running an auto-generated script to install the DCHQ agent, along with Docker and the software-defined networking layer (optional). This task can be automated programmatically using our REST API’s for creating “Docker Servers” (https://dchq.readme.io/docs/dockerservers)
- Alternatively, DCHQ integrates with 13 cloud providers, allowing users to automatically spin up virtual infrastructure on vSphere, OpenStack, CloudStack, Amazon Elastic Cloud Computing, Google Compute Engine, Rackspace, DigitalOcean, SoftLayer, Microsoft Azure, and many others.
Sunitha Muthukrishna comes by Azure Friday to show Scott how to do sophisticated staged WordPress Deployments on the Azure Cloud.
New Release of Aspose.Pdf Cloud SDK for Python – A Complete Solution to Manipulate PDF Portab le Document Format in Python Using Powerful Aspose.Pdf Cloud APIs
Aspose.Pdf for Cloud
Aspose.Pdf for Cloud’s platform independent document manipulation API is a true REST API that can be used with any language: .NET, Java, PHP, Ruby, Rails, Python, jQuery and many more. You can use it with any platform — web, desktop, mobile, and cloud.
With Aspose.Pdf for Cloud you can work with all aspects of PDF (portable document format) file: read, write, convert, split, merge and many more options to manipulate PDF documents. Aspose.Pdf for Cloud is a complete solution for performing any manipulation you can wish to perform on PDF files in the cloud. Learn More
One of the new features announced as part of the Visual Studio 2013 Ultimate Preview is ‘Cloud Based Load Testing’. In this blog post I’ll walk you through, What is Cloud
As it seems that Google is officially ending the support of Eclipse-based Android Development Toolkit (ADT), we’ve prepared everything for you in Android Studio and our Gradle-based plugin is readily available to get your tests seamlessly running from Android Studio (instead of using our old Eclipse-plugin) to Testdroid Cloud.
According to that blog, Google will end their development and official support for ADT at the end of this year and both Eclipse ADT and Android Ant build system are affected.