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NOTICE: DISCONTINUATION OF SNAP TELEMETRY PROJECT. The Snap Telemetry project will no longer be maintained by Intel. Intel will not provide or guarantee development of or support for Snap, including but not limited to, maintenance, bug fixes, new releases or updates. Patches to this project are no longer accepted by Intel. If you have an ongoing need to use Snap, are interested in independently developing it, or would like to maintain patches for the community, please create your own fork of the project.

NOTICE: DISCONTINUATION OF SNAP TELEMETRY PROJECT. The Snap Telemetry project will no longer be maintained by Intel. Intel will not provide or guarantee development of or support for Snap, including but not limited to, maintenance, bug fixes, new releases or updates. Patches to this project are no longer accepted by Intel. If you have an ongoing need to use Snap, are interested in independently developing it, or would like to maintain patches for the community, please create your own fork of the project.

Ever Since Grafana 2.0 was released with its own backend, we’ve added many ways to help you board and authenticate users. It’s easy to use Grafana as a hub to invite and manage users across multiple Organizations. We’ve also added LDAP support to allow for external authentication. But what if you want to do something else? SSO? TACACS? ActiveDirectory? Something custom that you’re running already? Would the new backend make it hard for those use cases?

The raintank software stack is comprised of a number of different components that all work together to deliver our platform. Some of our components include: front-end visualization and dashboarding (based on Grafana) network performance data “collectors” event and metric processing and persisting core RESTful API To support these services we have a number of shared services including: Elasticsearch InfluxDB MySQL RabbitMQ Redis As the stack has grown it has become increasingly more difficult to manage our development environments.

As we begin to develop the raintank platform, we’ve started to play with numerous solutions for time series databases including MongoDB, OpenTSDB, Graphite, and even MySQL. The more generic database solutions, MongoDB and MySQL, were quickly ruled out as viable options. Though they are both great tools, they are not suited to the narrow use case of large scale time-series data, which is of particular interest to us. OpenTSDB showed a lot of promise, but we found the complexity of keeping a Hadoop cluster running not worth the rewards.