Moving Apache Ignite into Production: Best Practices For Disaster Recovery and High Availability

Learn some of the best practices and the different options for maximizing availability and preventing data loss. This session explains in detail the various challenges including cluster and data center failures, and the best practices for implementing disaster recovery (DR) for distributed in-memory computing based on real-world deployments. Topics include:

  • The different components of a disaster recovery plan including recovery point and time objectives and architecture
  • Different options for DR including stretched clusters, change-data-capture (CDC), data center replication, and distributed backup and recovery
  • Recommendations for when to use each option, and when to use multiple options together

Whenever in-memory computing is used for customer-facing applications, or mission-critical applications in general, it needs to stay up and running no matter what happens. Attend this webinar by Stan Lukyanov on September 18th at 10:00am PT / 1:00am ET and learn best practices for disaster recovery and high availability.

About The Moving Apache Ignite into Production Series

This webinar is the fifth in a series that will guide you through the best development, monitoring, and troubleshooting practices for deploying Apache Ignite across different topologies and use cases. Other topics include:

Stanislav Lukyanov GridGain
Stanislav Lukyanov
Director of Product Management, GridGain

Stanislav Lukyanov is the Director of Product Management at GridGain Systems, a provider of enterprise-grade in-memory computing solutions based on Apache Ignite. A software engineer and architect, he helps to build the next generation of in-memory computing solutions to answer modern industry challenges.