TigerGraph Cloud is the most scalable graph database platform for advanced analytics and machine learning on the cloud for connected data. The parallel native graph database technology behind the platform can scale horizontally and vertically to hundreds of servers in the cloud. As TigerGraph sees rapid growth in cloud adoption by companies of all sizes, it needs to find innovative ways to scale its cloud operations fast without the need to incur a lot of costs and to keep expanding the cloud DevOps team.
To enable a highly efficient cloud ops team, TigerGraph turned to AWS, Shoreline.io and Datadog.
Watch the webinar replay hosted by DevOps.com on Sept 29, 2022 at 1 pm ET to hear how Dr. Jay Yu, TigerGraph's VP of Product and Innovation, scaled in the cloud with a small ops team.
- How TigerGraph is integrating Shoreline actions with Datadog alerts to repair common incidents
- How TigerGraph is performing distributed repair actions across AWS EC2 clusters
- How TigerGraph is expanding the usage of Shoreline to create a self-healing system