Главная
Study mode:
on
1
Introduction
2
Distributed Data
3
Different Data Models
4
MultiModel Databases
5
Native MultiModel Databases
6
Why Different Models
7
Native Approach
8
Replication
9
Options
10
Kafka
11
Arango Sync
12
Replication between two data centers
13
Demo
14
Questions
Description:
Explore disaster recovery strategies for distributed databases in this conference talk. Delve into the complexities of implementing asynchronous replication between data centers, addressing challenges such as fault tolerance, network failures, automatic failover, and write load spikes. Learn how ArangoDB utilizes Kafka message brokers and an incremental replication protocol for DC-to-DC replication, and discover the crucial role of Apache Mesos in managing deployment, resources, and system liveness. Gain insights from mathematician Max Neunhöffer and software engineer Jörg Schad as they discuss multimodel databases, native approaches, and replication options. Witness a live demonstration and participate in a Q&A session to deepen your understanding of distributed database disaster recovery techniques.

Disaster Recovery with Distributed Databases - Implementing Asynchronous Replication

Linux Foundation
Add to list