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Foxx CLI – Managing Microservices
Anyone who has ever worked with our JavaScript framework Foxx was faced at some point with the challenge to install its Foxx service in its current ArangoDB instance or to replace the installed service with local code changes. This is not a big deal and can easily be done through ArangoDB’s WebUI. However, we developers always want to become more productive and clicking through a graphical UI is not the best way. Furthermore, this procedure is almost impossible to use in an automated deployment process. That’s why we decided to develop a node-based CLI tool to manage Foxx services, called Foxx-CLI, which we already released in version 1.1.
Static binaries for a C++ application
ArangoDB is a multi-model database written in C++. It is a sizable application with an executable size of 38MB (stripped) and quite some library dependencies. We provide binary packages for Linux, Windows and MacOS, and for Linux we cover all major distributions and their different versions, which makes our build and delivery pipeline extremely cluttered and awkward. At the beginning of this story, we needed approximately 12 hours just to build and publish a release, if everything goes well. This is the beginning of a tale to attack this problem. Read more
Win your free ticket and join ArangoDB @ JontheBeach 2018
We are thrilled to be attending one of Europe’s greatest events – JontheBeach (JOTB), an international rendezvous for developers and DevOps around Big Data technologies. No product talks just deep-tech topics presented by hand-picked speakers from Google, Apache Spark, RedHat, Stripe, Microsoft and many more. Read more
Welcome to the ArangoDB family, Ted Dunning!
We are absolutely thrilled to announce that one of the brightest and most respected minds in open-source software joins ArangoDBs Advisory Council. Hi, Ted and welcome to the ArangoDB family!
For those who don’t know Ted Dunning yet, maybe a quick introduction and the reason why the whole team is so amazed that he supports the project. Ted Dunning is Chief Application Architect at MapR, holds a PhD in computer science and is committer as well as PMC member of the Apache Mahout, Zookeeper and Drill projects. Besides his 25 patents, and even more pending, he mentors multiple well-known Apache projects like Storm, Flink, or DataFu with his broad experiences across industries and technologies. Ted contributes so much to the open-source world and we feel blessed to have him on board at ArangoDB. Read more
ArangoDB Easter Egg Hunt: Join the Fun and Discover Surprises!
While working hard on the next release and hacking away new interesting things to include into our favourite database, we decided to take a short break to have some fun just in time for Easter. All teams gathered together to do some Easter eggs coloring, chocolate-eating and fun-having 🙂
We’ve colored a lot of eggs in our favourite colors – green and brown, and hid them all around our office and beyond. Now, here is a little challenge for you to help us find them. Read more
Using the ArangoDB Swagger.io Interactive API Documentation
ArangoDB bundles its regular API Documentation also in Swagger.IO API description format. You can browse and explore it interactively via the ArangoDB Webinterface.
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The ArangoDB Operator for Kubernetes – Stateful Cluster Deployments in 5min
At ArangoDB we’ve got many requests for running our database on Kubernetes. This makes complete sense since Kubernetes is a highly popular system for deploying, scaling and managing containerized applications.
Running any stateful application on Kubernetes is a bit more involved than running a stateless application, because of the storage requirements and potentially other requirements such as static network addresses. Running a database on Kubernetes combines all the challenges of running a stateful application, combined with a quest for optimal performance.
This article explains what is needed to run ArangoDB on Kubernetes and what we’re doing to make it a lot easier.
Interested in trying out ArangoDB? Fire up your database in just a few clicks with ArangoDB ArangoGraph: the Cloud Service for ArangoDB. Start your free 14-day trial here. Read more
ArangoDB Cluster Administration Course Released
Cluster Administration course will take you all the way from concept and anatomy of the ArangoDB cluster to maintenance, resilience and troubleshooting of your distributed environment.
When data size or workload makes purchasing of a single database server prohibitive one needs to rethink the system architecture and consider to cluster a farm of more affordable machines. While ArangoDB clusters bring additional added value like seamless runtime scaling and thin provisioning, their management can look testy and challenging. Read more
Configuring ArangoDB-PHP to use active failover
This article is about setting up active failover for ArangoDB-PHP, the PHP client driver for ArangoDB. It requires ArangoDB-PHP 3.3.2 or higher, and an ArangoDB server version of 3.3.4 or higher.
Interested in trying out ArangoDB? Fire up your cluster in just a few clicks with ArangoDB ArangoGraph: the Cloud Service for ArangoDB. Start your free 14-day trial here
Active failover: basic setup
Historically, ArangoDB-PHP has been able to connect to a single ArangoDB endpoint, i.e. one combination of IP address and port number.
To connect to an ArangoDB server that is running on localhost or on a remote server, simply set the `OPTION_ENDPOINT` item in the `ConnectionOptions` and connect: Read more
Index types and how indexes are used in ArangoDB: Part II
In the first part of this article we dived deep into what indexes are currently available in ArangoDB (3.2 and 3.3), also briefly looking at what improvements are coming with ArangoDB 3.4. Read Part I here.
In this Part II, we are going to focus on how to actually add indexes to a data model and speed up specific queries.
Adding indexes to the data model
The goal of adding an extra index to the data model is to speed up a certain query or even multiple queries.
One of the first things that should be done during development of AQL queries should be to review the output of the explain command. A query can be explained using ArangoDB’s WEB UI or from the ArangoShell. In the ArangoShell it is as simple as db._explain(query), where query is the AQL query string. To explain a query which also has bind parameters, they need to be passed separately into the command, e.g. db._explain(query, bindParameters).
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