Find out what's new in the world of mission critical graph analytics.
17 Mar 2022 by Luanne Misquitta · 4 min read Engineering
Knowledge sharing has always been extremely important for Engineering at GraphAware.Whether it is techniques, tools or technology, lessons learned from our consulting engagements, or experience in general,sharing sparks conversation, creativity and discovery of different or better ways to do things.
10 Feb 2022 by Fabio Montagna · 13 min read Engineering Neo4j Hume Causal Cluster Orchestration
Only a few things are more satisfying for a graph data scientist than playing with Neo4j Graph Data Science library algorithms, most probably running them in production and at scale. Possibly also using them to fight against scammers and fraudsters that every day threatens your business.
02 Feb 2022 by Federica Ventruto, Grzegorz Aniol · 17 min read GraphAware Knowledge Graph Hume Engineering
It is always a valuable opportunity to understand our product better and recognize user needs. At GraphAware, building Hume, a graph-powered insight engine, we are proud of making an impact on our customers’ success. However, we use Hume also to support our processes and help our own needs. In the case of the event that took place throughout December, we were also able to have great fun and integrate the team.
16 Dec 2021 by Zsolt Katona · 8 min read Engineering
“Alright, could you please tell us a few benefits and drawbacks of working with microservices?” - starts the usual tech interview question, and the traditional answer often follows: “They’re smaller; therefore, they’re easier to develop and to troubleshoot. There’s better scaling control on parts of the system. They can be written in different programming languages. They can be deployed individually.”
27 Oct 2021 by Daniel Moraru · 8 min read Engineering
As someone with a background in performance engineering I was asked to cover this year’s Performance Summit Conference and share my experience with the team.No socializing this time between presentations - the conference was all online in keeping with the times.
29 Sep 2021 by Zsolt Katona · 5 min read Engineering
“Alright, could you please tell us a few benefits and drawbacks of working with microservices?” - starts the usual tech interview question, and the traditional answer often follows: “They’re smaller; therefore, they’re easier to develop and to troubleshoot. There’s better scaling control on parts of the system. They can be written in different programming languages. They can be deployed individually.”
20 Sep 2021 by Luanne Misquitta · 1 min read Engineering
Today, I’m happy to launch GraphAware’s Engineering blog!