Disaster Recovery Experience at CACIB: Hardening Hadoop for Critical Financial Applications

Disaster Recovery Experience at CACIB: Hardening Hadoop for Critical Financial Applications

Thursday, March 21
4:50 PM - 5:30 PM
Room 127-128

Hadoop is becoming a standard platform for building critical financial applications such as risk reporting, trading and fraud detection. These applications require high level of SLAs (service-level agreement) in terms of RPO (Recovery Point Objective) and RTO (Recovery Time Objective). To achieve these SLAs, organizations need to build a disaster recovery plan that cover several layers ranging from the infrastructure to the clients going through the platform and the applications. In this talk, we will present the different architecture blueprints for disaster recovery as well as their corresponding SLA objectives. Then, we will focus on the stretch cluster solution that Crédit Agricole CIB is using in production. We will discuss the solution’s advantages, drawbacks and the impact of this approach on the global architecture. Finally, we will explain in detail how to configure and deploy this solution and how to integrate each layer (storage layer, processing layer...) into the architecture.

Presentation Video

SPEAKERS

Mohamed Mehdi Ben Aissa
Big Data Technical Architect
Credit Agricole Group Infrastructure Platform (CA-GIP)
Mohamed Mehdi BEN AISSA - Big Data Technical Architect & Infrastructure Technical Owner at Credit Agricole Group Infrastructure Platform (CA-GIP, CIB branch). Speaker at Paris Apache Kafka (Confluent) Meetup, Future of Data (Hortonworks) Meetup & Big Data Paris 2018 and 2019.
Abdelkrim Hadjidj
Solution Engineer
Cloudera
Abdelkrim is a Solution Engineer at Cloudera with 10 years experience on several distributed systems (Big Data, IoT, Peer to Peer and Cloud). Before joining Cloudera, he held several positions including Big Data lead, CTO and Software Engineer at several companies. He was a speaker at various international conferences and published several scientific papers at well known IEEE and ACM Journals. Abdelkrim holds a PhD, MSc and MSe degrees in Computer Science.