Cluster Archives - Page 4 of 4 - ArangoDB

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Getting closer: ArangoDB 3.0 alpha release

00ReleasesTags: ,

There is this German saying “If it takes long enough, it will be all right in the end.” However, since just “all right” isn’t our quality standard this first alpha of 3.0 took us a bit longer to finish up than planned. We´d like to invite you to give this fully tested alpha a serious spin, test the new functionalities and share your thoughts and feedback with us on Slack in our “feedback30” channel

Within this short release note you´ll find 1) a quick overview of the most important changes; 2) an instruction on how to get the new version and 3) how to get your (test) data from your 2.x version into the 3.0 alpha which has our new binary storage format VelocyPack implemented. Read more

Open Source DC/OS: The modern way to run a distributed database

00Architecture, GeneralTags: ,

The mission of ArangoDB is to simplify the complexity of data work. ArangoDB is a distributed native multi-model NoSQL database that supports JSON documents, graphs and key-value pairs in one database engine with one query language. The cluster management is based on Apache Mesos, a battle-hardened technology. With the launch of DC/OS by a community of more than 50 companies all ArangoDB users can easily scale. Read more

Running ArangoDB Cluster on Debian and the Merii Hummingbird A80 Optimus – Part 1

00ARM: Raspberry + Co.Tags:

For running ArangoDB in clusters doing performance tests we wanted to have a non virtualized set of descent hardware with fast ethernet connection, enough RAM (since thats what Arango needs) and multicore CPU. Since you need a bunch of them, cheap ARM devel boards come to mind. The original Raspberry PI (we have those) is out of the game due to V8 is not supporting it anymore. The now available PI 2 doesn’t cut it, since its ethernet NIC is connected via USB (as on the original PI). The Odroid series only have one of both: Fast ethernet or enough RAM. The Cubieboard 4 wasn’t available yet, but its Allwinner A80 SOC seemed a good choice. Then we met the Merii Optimus board, which seems to be almost the same as the PCDuino (now renamed to Arches) with the A80. While we got a bunch of them for a descent price over at Pollin, the upstream support wasn’t that good.

However, with some help of the SunXi-Linux Project we started flashing OS images to replace the preloaded Android image with the Merii Linux image. Since the userland of the Merii image is pretty sparse, we wanted something more useable. There is already a how-to on running Ubuntu which requires running a Windows host. We prefer a Linux host and want to run a Debian. Since the new Pi2 is also able to run regular Debian with ArmV7, we pick the root fs from sjoerd.

IMG_7640 More info

Create an ArangoDB cluster on Microsoft Azure

02DocumentationTags:

During the last weeks we’ve released our new deployment tool for cloud computing platforms with how-to’s for Google Compute Engine, Digital Ocean and Amazon Web Services support.

Today we show how to deploy an ArangoDB cluster on Azure with a single command.

Azure

To easy-deploy an ArangoDB cluster on Azure you just need to install the official azure-cli, download a single bash script and watch the tool take care of the rest for you. Your azure account needs permission for creating instances, adding ssh-keypairs and managing virtual networks.

More info

Create an ArangoDB cluster on Amazon Web Services (AWS)

01DocumentationTags:

During the last weeks we’ve released our new deployment tool for cloud computing platforms with how-to’s for Google Compute Engine and Digital Ocean support.

Today we show how to deploy an ArangoDB cluster on Amazon Web Services with a single command.

Amazon Web Services (AWS)

To easy-deploy an ArangoDB cluster on AWS you just need to install the official awscli, download a single bash script and watch the tool take care of the rest for you. Your aws account needs permission for creating instances, adding ssh-keypairs and managing security groups.

More info

Create an ArangoDB cluster on Google Compute Engine with a single command

01DocumentationTags: ,

Last week we’ve released the first version of our new deployment tool for cloud computing platforms with Digital Ocean support. (Edit: now also available: Amazon Web Services) Today we show how to deploy an ArangoDB cluster on Google Compute Engine with a single command. :

Google Compute Engine

To easy-deploy an ArangoDB cluster on Google Compute Engine you just need to install the official gcloud tool, download a single bash script and watch the tool take care of the rest for you.

Google Compute Engine prerequisites

The script needs an available and configured Google Project.

ProjectID
  • Create a project (GCE Projects).
  • Remember your project-id, you’ll need that later for gcloud configuration.
  • Enable Google Compute Engine API More info

Create an ArangoDB cluster on Digital Ocean with a single command

03DocumentationTags:

It is often difficult and time-consuming to setup a cluster environment for development or production purposes. For this reason, we decided to make an initial setup for you as easy as possible.

Today we’re introducing the first part of our new deployment tool for cloud computing platforms (Edit: now also available: Amazon Web Services and Google Compute Engine):

Part 1: Digital Ocean

We’ve released our first prototype, which deploys an ArangoDB Cluster on Digital Ocean. Just download a single bash script, export your Digital Ocean API Token and watch the tool take care of the rest for you.

More info

ArangoDB Sharding Release 2.0.0 RC1

06ReleasesTags: ,

This version is deprecated. Download the new version of ArangoDB

Sharding has come to ArangoDB. We are proud to announce the release candidate of ArangoDB 2.0.0. The ArangoDB 2 is API downward compatible to ArangoDB 1.4. ArangoDB 2 can be used as standalone or distributed system. You can use the same packages / binaries for a stadalone and a sharding setup. See “setup cluster” for how to enable the cluster features of ArangoDB 2 and how to distribute your data to many servers. Please note that the datafiles are not compatible. ArangoDB 2 will convert these files to a newer format. If you only want to play with the new sharding features, make sure that you use a separate database directory. Where to go next? – a general introduction – how set up a distributed cluster. coming soon: guidelines for API implementors