Posts Tagged ‘Storage’

 

InformationWeek’s “IaaS Buyer’s Guide” with some Updated Information from GoGrid

Friday, October 19th, 2012 by

This week, InformationWeek published an extremely handy IaaS Buyer’s Guide designed to help companies navigate the complex airspace of cloud computing, specifically the Infrastructure-as-a-Service marketplace. The Guide covers 9 IaaS providers, including GoGrid, that each submitted responses to a questionnaire about their service offerings. InformationWeek then compiled and categorized those responses in this easy-to-understand Guide. You can find the full Guide (behind a registration wall) here.

InformationWeek-guide-cover

Topics covered in the Guide include:

  • CPU & Memory
  • Storage
  • Operating Systems
  • Database Software Needs
  • Redundancy/Data Center Needs
  • Additional VM Features
  • Cost
  • Security & Compliance
  • Support & SLA
  • Additional Services

A few things have changed since GoGrid was originally interviewed, and we wanted to provide updated information for some of these categories.

CPU & Memory

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Create a Basho Riak Cluster on GoGrid

Monday, July 9th, 2012 by

Basho is a GoGrid partner and responsible for the open-source Riak project. If you are not familiar with Riak, it is a well regarded open-source distributed database. It was built off of the Dynamo concept so it is often compared to Cassandra and Amazon Dynamo DB.

Riak is used as a fast, fault-tolerant distributed database. Companies like Mozilla use it for storing and analyzing beta testing results. Mozilla needed a solution to help improve the user experience and that would allow them to store large amounts of data very quickly. Another example of a company using Riak is Bump which uses Riak to scale and manage massive amounts of data sent between it’s millions of users. Riak is used to store elements of past user conversations so that communication history is readily accessible to users.

basho_logo2

Basho Riak version 1.1.4 is now available as a GoGrid Community Server Image (CGSI). You can find it when you launch a virtual machine and search for “Riak”. This image is available in all our data centers. This CGSI contains the open source version so support is only available via the community site and will not have all the features present in the Enterprise version. However, you can use this image to either run a proof of concept (POC) of Riak to see if it will meet your needs or to run a small cluster. These will run on GoGrid’s high performance VMs which have been shown to have significant performance advantages over other cloud implementations.

Riak_image

Why is GoGrid faster?

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2012 Cloud Computing Predictions from GoGrid Executives, Customers & Partners (Part 1)

Tuesday, January 17th, 2012 by

As is customary with the passing of an old year and the exciting entrance into a new one, people try to make their best predictions as to what the future holds within their area of expertise. For GoGrid, this is obviously around Cloud Computing. This year, instead of making my own prediction list (as I have done in the past), I thought it would be important to get some other expert voices from the GoGrid and cloud community to do this task.

2012-cloud-year-pt1

The important thing to always remember here, especially when dealing with the cloud, is that it changes quickly. It’s similar to buying the latest technology, the moment you buy it (or make the prediction, in this case), it’s instantly outdated. But still, the process is fun if not, educational.

Below is a compilation of 2012 cloud computing predictions from a variety of subject matter experts and thought-leaders in the field of cloud infrastructure, security and services. The contributors are:

  • Warren Heffelfinger (CEO – GoGrid)
  • James Urquhart (Cloud Writer – GigaOm/VP of Product Strategies – enStratus/GoGrid Partner)
  • Larry Warnock (CEO – Gazzang/GoGrid Partner)
  • John Keagy (Chairman & Founder – GoGrid)
  • Carson Sweet (CEO – CloudPassage/GoGrid Partner)
  • Antonio Piraino (CTO – ScienceLogic/GoGrid Customer)

Because of the wealth of knowledge coming from this group, I have actually broken this article out into a series of 2 posts. Without further ado, onto the first set of predictions!

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How to Set Up a Gluster File System within the GoGrid Cloud (Part 1)

Friday, August 19th, 2011 by

In this blog post series, I want to take a closer look at a storage technology called Gluster File System, and how it can be set up (this article), connected to (article #2) and expand storage (article #3). This is the first blog post of the series and I will review what GlusterFS is, why you would consider using it, and how to deploy it using the GoGrid GlusterFS Partner GSI.

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GoGrid offers a great storage solution called Cloud Storage. But what if you want to deploy your own storage so that you can directly control performance and redundancy? What software would you use to provide this? The simple answer is Gluster. It is a powerful software-based storage solution that offers a centralized controlled storage pool management system that is very easy to use.

There are many different ways to take advantage of the GlusterFS storage solution. (Note: in the descriptions below a “brick” is a GoGrid Virtual Server.)

1. Distributed Volumes:

“Distributed volumes distribute files throughout the bricks in the volume. You can use distributed volumes where the requirement is to scale storage and the redundancy is either not important or is provided by other hardware/software layers.” – Gluster.org

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New Larger RAM Instances Now Available on GoGrid

Tuesday, February 17th, 2009 by

GoGrid_win2k8_4GB_ram Last week, we quietly released some new larger GoGrid Cloud server instances. Today we are making that announcement a bit louder. What does this mean to you? Well, your GoGrid cloudcenter just got a bit broader and more powerful. For a year now, we have been offering 0.5, 1 and 2 Gigabyte RAM options in both Windows and Linux, now we have 4 and 8 GB RAM instances available. These larger instances, available on all 64-bit operating systems, allow for new types of higher-end environments to be spun up using all of the characteristics of Cloud Computing.

The lower size RAM instances (0.5, 1 & 2 GB) are perfect for a web front-end, where either Apache or IIS are running. For extremely high-performance and high I/O instances, we have been offering Cloud Connect as a way to create a dedicated hybrid infrastructure where Cloud Web Servers running on GoGrid can be linked via private dedicated network connections to dedicated and managed servers within the ServePath network.

With the new 4 and 8 GB RAM options, you can now set up a infrastructure with a robust set of high-performance application servers within the Cloud. These types of high RAM instances are perfect for users who want to take advantage of the increased RAM, CPU cores and persistent storage, especially when used in conjunction with specific applications (e.g., Microsoft SQL server or other Enterprise applications) that require more larger amounts of resources like RAM or CPU.

The 4 GB RAM server images can be deployed via the GoGrid web portal and API. The 8 GB RAM server images currently may only be deployed via the GoGrid API. I recommend reading the API section of the GoGrid wiki in order to fully understand how to deploy 8 GB RAM instances.

The 4 and 8 GB RAM images, available for Red Hat Enterprise Linux 5.1, CentOS 5.1, and Windows Server 2003 and Windows Server 2008 64-bit operating systems bring a new level of performance to the GoGrid line. 4 GB Cloud Servers have 3 CPU Cores and 8 GB have 6 CPU Cores, ensuring dedicated CPU allocations and high performance.

All GoGrid Cloud Servers come with persistent storage. The new larger RAM allocations announced today, are delivered with increased persistent storage: 4 GB Cloud Servers have 240 GB of hard drive space and 8 GB have 480 GB of storage allocated at boot time. Additional storage can be added using GoGrid’s dynamically scalable Cloud Storage offering which includes a 10 GB free allotment to start with. Each 1 GB thereafter costs $0.15/GB/month.

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