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joyent: All content tagged as joyent in NoSQL databases and polyglot persistence

Joyent Solution for Hadoop Is About Speed

As with Riak’s hosting on Engine Yard, I’ve been wondering what Joyent solution for Hadoop is about. John Rath writes for DataCenterKnowledge:

Software product development services company Altoros Systems said that Hadoop clusters on Joyent Cloud produced a nearly 3X faster disk I/O response time versus identically-sized infrastructure. Through the use of the Joyent operating system virtualization and CPU bursting technology, Joyent says it is able to extract better response times and deliver results to data scientists and analysts faster.

Original title and link: Joyent Solution for Hadoop Is About Speed (NoSQL database©myNoSQL)


Hadoop in the Cloud: Skytap and Joyent

Besides the well established Amazon Elastic MapReduce and Windows Azure HDInsight, there are two new Hadoop-in-the-cloud services:

  • Skytap which offers Cloudera CDH4 Enterprise experimentation clusters up to 50 nodes
  • Joyent Solution for Hadoop which is offered in partnership with Hortonworks. I hesitated for a bit to mention Joyent considering the page says “Sign up now to talk to a Joyent Solutions Architect” which is anything but a cloud service.

Original title and link: Hadoop in the Cloud: Skytap and Joyent (NoSQL database©myNoSQL)

MongoDB: With Adoption Comes… More Adoption

  • Jaspersoft releases the 2nd version of JasperReports Server connector for MongoDB which “solves a key challenge in providing insight from Big Data systems with terabytes or even petabytes of data. Jaspersoft’s intelligent connector integrates 10gen’s NoSQL platform with the full Jaspersoft BI Suite, providing flexible and affordable reporting, ad hoc analysis, and dashboarding of MongoDB data.” [PR announcement]

  • Joyent announces SmartMachine appliance for MongoDB [PR announcement ]:

    • Instant capacity bursting of up to 800%.
    • On the fly MongoDB resizing with no reboot
    • 100% data integrity through the use of the ZFS file system, which provides default copy-on-write snapshotting
    • Joyent Cloud Analytics with DTrace for point-and-click root cause analysis of latencies
    • Security through the use of Zones, which protect vCPUs from other cloud users

    To get a better picture of why the Joyent appliance is interesting check the fantastic results of this Riak benchmark on Joyent SmartMachines and the technical details of the benchmark.

  • MongoDB on OpenShift

    When you sign up for OpenShift you get up to five, free 512 MB instances on which to deploy your applications and MongoDB. What’s the catch? There is none. Getting started with MongoDB in the cloud is fast, free and easy!

    That plus:

    • log tailing
    • snapshots
    • RockMongo web GUI

    You can watch Issac Roth (OpenShift PaaS Master) explaining all the new MongoDB features in this release and read more details here:

Original title and link: MongoDB: With Adoption Comes… More Adoption (NoSQL database©myNoSQL)

Node.js + MongoDB = Love

Pair Joyent Cloud’s hosted node.js SmartMachine Appliance with MongoLab’s hosted MongoDB and the integration becomes downright operatic. Angels sing. Trumpets blare. Grey storm thunderheads of object-relational-mapping haze part. Revealed are golden rays of low-impedance JSON object storage and query. All in the fertile green valley of asynchronous JavaScript on the unflappable, cool bedrock of Joyent’s SmartMachine hosting platform. Songbirds tweet. Life is good. Metaphors strain.

All that until you have to debug your code to find a missing var or purely drown under a pile of unmaintainable async Javascript code.

Original title and link: Node.js + MongoDB = Love (NoSQL database©myNoSQL)


Riak SmartMachine Benchmark: The Technical Details

Remember the Riak in the Joyent cloud benchmark? There’s a post providing many more details about the tests run:

The goal of the study was to demonstrate a baseline for users to understand Riak’s performance, stability, predictability, and linear scalability.  The systems were not tuned for optimal performance.  Instead, we chose to take standard 4 GB Riak Smartmachines and demonstrate throughput and latency for various access patterns and object sizes.

The conclusions is what made me say it got atypical (in a good sense) results:

Our benchmark tests bring us to the following conclusions:

  • Riak behaves predictably under high loads – depending on system resources, Riak exhibits either predictable, steady-state throughput with low errors or degrades gracefully with low errors.
  • Riak demonstrates stability under high loads – very few errors, no node failures under load, and behavior in line with expectations.
  • Riak demonstrates linear scalability – adding or removing capacity adds or subtracts a predictable amount of capacity from the cluster.

Original title and link: Riak SmartMachine Benchmark: The Technical Details (NoSQL databases © myNoSQL)


Riak in the Cloud with Joyent SmartMachines

I usually don’t trust vendor benchmarks, but these Riak benchmarks look pretty much inline with Mozilla’s Riak benchmark. What is even more impressive is that these results were from running Riak on virtualized machines (the Joyent SmartMachines[1]).

Watch it for youself. Slides can be downloaded from ☞ here

  1. You can read more about Joyent SmartMachines ☞ here.  ()

Original title and link: Riak in the Cloud with Joyent SmartMachines (NoSQL databases © myNoSQL)