High Availability and Disaster Recovery for IMDG
IMDG is generally used as a compute grid and/or DBMS cache. That's why data in a grid may be safely lost and then recovered from a persistent store. But what if we want to use the grid as the data store for the core banking platform? This paper is to describe the GridGain in-memory data fabric add-ons and new features to provide the ultimate distributed data store.
Contents:
- The bank requirements to HA & DR
- The legacy HA & DR architecture
- The high-level architecture of the Sberbank new generation core banking platform
- The business continuity threat model
- GridGain SPI implementation
- „Data cells“ and the new affinity function
- the node metadata-based topology validator
- the quorum-based topology validator
- The new features of GridGain in-memory data fabric Ultimate edition
- Local Fie Store (LFS) – the new distributed data store on the local disks
- write-ahead logging
- grid snapshots
- the common architecture of the backup/restore subsystem
- the log mining API and data replication
- the nodes' health self-check
- the system software/firmware upgrade without the grid downtime
Speakers
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Vladimir
Komarov
Enterprise IT Architect
at
Sberbank
Works in Sberbank since 2010. He realized the concepts of operational data store (ODS) and retail risk data mart as a part of enterprise data warehouse. In 2015 performed the test of 10+ distributed in-memory platforms for transaction processing. Now responsible for grid-based core banking infrastructure architecture including high availability and disaster recovery.
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Mikhail
Gorelov
Operations expert & manager
at
Sberbank
Works in Sberbank since 2012. He is responsible for building the infrastructure landscape for the major mission-critical applications as core banking and cards processing including new grid-based banking platform. Now he acts as both expert and project manager in “18+” core banking transformation program.