Mon-Fri 09.00 - 17.00 +34 610 30 58 05

Schedule

The schedule is under review and may suffer changes as we are doing a review of the talks.
Submit your talk and participate in this wonderful event!!! Contact dataops at binlogic.net
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  • Day 1 | Hall A

    June 21, 2018 | Hall A

  • 17:00 - 18:00
    Big Data
    Databases
    Engineering
    Infrastructure
    Where
    Hall 1, Building A

  • Day 1 | Hall B

    June 21, 2018 | Hall B

  • 14:00 - 14:45
    Security is an issue, control what can access your data is a must, how to do it is a nightmare. But if you follow us on this journey, you will discover how implementing a quite robust protection is possible. Even more is possible and your performances will improve. Cool right? We will discuss: - Implement selective query access - Define accessibility by location/ip/id - Reduce to a minimum cost of filtering - Automate the query discovery

  • 14:50 - 15:35
    This session describes the automated MySQL failover setup at GitHub, based on orchestrator, Consul and GLB/HAProxy, and which delivers hands-free high availability of our MySQL clusters. Our setup is tolerant to master, intermediate master and complete DC failures, and recovery makes the best of a situation based on state rather than configuration. We will illustrate our multi-DC orchestrator/raft, Consul & load balancers setups, as well as our production testing setup. We will discuss the choices we've made and the path we took while reducing MySQL outage without introducing false positives.
    Databases
    Engineering
    MySQL

  • Day 2 | Hall A

    June 22, 2018

  • 10:30 - 11:15

  • 11:20 - 12:10
    Redundancy and high availability are the basis for all production deployments. Database systems with large data sets or high throughput applications can challenge the capacity of a single server like CPU for high query rates or RAM for large working sets. Adding more CPU and RAM for vertical scaling is limited. Systems need horizontal scaling by distributing data across multiple servers. MongoDB supports horizontal scaling through sharding. Each shard consists of a replica set that provides redundancy and high availability. In this session we will talk about: -How MongoDB HA works -Replica sets components/deployment typologies -Cluster components - mongos, config servers and shards/replica set -Shard keys and chunks -Hashed vs. range based sharding -Reads vs. writes on sharded cluster
    Databases
    MongoDB

  • 11:30 - 12:15
    Dark Data are data that exist in companies but are not currently leveraged in decision making, due to cost of acquisition, technical complexity, and risk to critical systems. It is estimated that more than 65% of total data in a company is hidden in people, machines and networks. In this talk, Datumize engineers will explain some of the dark data we have found by doing network sniffing and machine unlocking, using real use cases for customers around the world, like a global Tour Operator that is understanding the "lost searches" in a website, or a toxicology company in United States feeding analytical insights into a cloud-based platform with AI connected. All these dark data, once refined, need to be stored and exploiting using a combination of resilient databases and mission-critical infrastructure that scales with load, so extreme operations are needed.

  • Day 2 | Hall B

    June 22, 2018

  • 11:00 - 11:40
    Databases
    MySQL
    Real life Cases
    Where
    Hall 1, Building A

  • 14:00 - 14:40
    Databases
    MySQL
    Where
    Hall 1, Building A

  • 14:30 - 16:00
    Databases
    MySQL
    Where
    Hall 1, Building A

  • 16:00 - 17:00
    Big Data
    Engineering
    Where
    Hall 1, Building A