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June 2021: What’s the Latest with ArangoDB?
Estimated reading time: 5 minutes
Hello Community,
Welcome to the sixth ArangoDB newsletter of 2021! Hard to believe we are already half-way through 2021 🤯
In this edition, we are excited to share:
- Our next Graph & Beyond Lunch Break: Kubernetes Meets Graphs
- Developer deployments for ArangoDB ArangoGraph (NEW!)
- Our first online Meetup of 2021
- The latest blog post in our ArangoML series
- Our growing avocado grove (aka we are hiring!)
Graph & Beyond Lunch Break #13: Kubernetes Meets Graphs
Are you familiar with Kube-Arango, our Kubernetes Operator, which powers our managed service ArangoDB ArangoGraph?
In this Lunch Break, our CTO Joerg Schad will cover the entire Lifecycle of an ArangoDB Cluster on Kubernetes, starting from deployment, over scaling, to upgrades. He will also touch upon best practices such as Monitoring.
Register to have this short video sent to your inbox at 12:00 in your local time zone on Wednesday, June 30th here.
Developer Deployments Now Available on ArangoDB ArangoGraph
Since we launched our managed service ArangoDB ArangoGraph, an ArangoGraph deployment has always been a highly-available ArangoDB cluster. Many customers have told us that they would like something a bit smaller that can be used by an individual developer, or better yet, let every developer have their own deployment.
That request is exactly what we have answered with the introduction of Developer deployments.
A Developer deployment consists of only a single server on a single node. It is ideal for (small scale) analytics experiments, or if you are just learning the features of ArangoDB.
You can read much more about Developer deployments, including how to get started, on in this blog post.
Online Meetup: Fast image search using ArangoDB and the Google Vision API
After a long hiatus, we are thrilled to host another Community Pioneer online meetup!
Community member Anthony Mahanna will share how he leverages ArangoDB’s multi-model capabilities along with the Google Vision API to build Picsum Vision.
Picsum Vision is a searchable image repository powered by Lorem Picsum images, the Google Vision API, and a multi-model ArangoDB instance. This meetup serves as an overview of Picsum Vision’s architecture and features, as well as a deep dive into how ArangoDB plays its part.
Wednesday, June 30th 2021 – 11:00am PDT / 2:00pm EDT / 8:00pm CEST
ArangoML Blog Series: Multi-Model Collaboration
This article looks at how a team collaborating on a real-world machine learning project benefits from using a multi-model database for capturing ML meta-data.
The specific points discussed in this article are how:
- The graph data model is superior to relational for ML meta-data storage
- Storing ML experiment objects is natural with multi-model
- ArangoML promotes collaboration due to the flexibility of multi-model
- ArangoML provides ops logging and performance analysis
Upcoming Events
Where else can you find ArangoDB?
- July 8: Workshop – Serving AI Models at Scale with Nvidia Triton
- July 14: Graph & Beyond Lunch Break #14 – Monitoring ArangoDB
From the Avocado Grove: We’re Hiring!
Team Avocado is continuing to grow! We have nearly 30 open positions (almost all fully-remote) on our website across Engineering, Product Management, Sales, and Recruiting.
Today we’d like to introduce you to Manuel Pöter, who joined us recently as a Senior Software Engineer.
Manuel started to work with ArangoDB in its very early days, somewhere in 2012. Now, he is a C++ developer on the Core team. Manuel has a Masters degree in Software Engineering from the Vienna University of Technology, where his research focus was on parallel programming with an emphasis on memory reclamation for concurrent data structures on shared-memory systems. Manuel has several years of experience working on a high-performance application (optimization of mobile radio networks) where his main focus was on parallelization and low-level optimization, so you could say that he “likes to make things run fast.” Naturally, his focus at ArangoDB is also on performance optimizations, in particular parallel AQL execution. You can reach Manuel through our ArangoDB Community Slack @mpoeter.arangodb.
Would you like to join Team Avocado? Check out our open positions here.
ArangoDB recognized as Leader on G2
We couldn’t be more thrilled to be recognized by our users as a Graph Database Leader on G2 Crowd.
Are you happy with how things are going with ArangoDB so far, and have a few minutes to spare? Then take a break from coding and write a review about your experience on G2.
We hope you enjoyed our latest news!
Until next time 🖖
The ArangoDB Team
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