Easy Geo-Redundant Handover + Failover with MARS + systemd
Arena | Mon 13 Jan | 2 p.m.–2:25 p.m.
Presented by
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Thomas Schoebel-Theuer
https://github.com/schoebel
Thomas is an old-school Linux kernel hacker, contributor of the dentry cache. Currently, he is working on the long-distance asynchonous replication MARS, which is in use at 1&1 Ionos for some petabytes of data, spread over thousands of geo-redundant hypervisors.
Thomas Schoebel-Theuer
https://github.com/schoebel
Abstract
The talk describes a simple setup of long-distance replication with minimum effort. The new systemd interface of MARS will drastically reduce your effort to make your existing complex solution geo-redundant.
Geo-redundancy / mass data replication over long distances is now much easier to manage for sysadmins. Although systemd has some shortcomings and earns some criticism, it can ease your automation of handover / failover when combined with the new unit-file template generator from the long-distance data replication component MARS. It is very flexible, supporting arbitrary application stacks, e.g. virtual machines, containers, and much more.
MARS is used by 1&1 IONOS for geo-redundancy of thousands of LXC containers, and on several petabytes of data, with very low cost.
Linux Australia: http://mirror.linux.org.au/pub/linux.conf.au/2020/arena/Monday/Easy_GeoRedundant_Handover_Failover_with_MARS_systemd.webm
YouTube: https://www.youtube.com/watch?v=yLyEv5KQPco
The talk describes a simple setup of long-distance replication with minimum effort. The new systemd interface of MARS will drastically reduce your effort to make your existing complex solution geo-redundant. Geo-redundancy / mass data replication over long distances is now much easier to manage for sysadmins. Although systemd has some shortcomings and earns some criticism, it can ease your automation of handover / failover when combined with the new unit-file template generator from the long-distance data replication component MARS. It is very flexible, supporting arbitrary application stacks, e.g. virtual machines, containers, and much more. MARS is used by 1&1 IONOS for geo-redundancy of thousands of LXC containers, and on several petabytes of data, with very low cost. Linux Australia: http://mirror.linux.org.au/pub/linux.conf.au/2020/arena/Monday/Easy_GeoRedundant_Handover_Failover_with_MARS_systemd.webm YouTube: https://www.youtube.com/watch?v=yLyEv5KQPco