Surviving Black Friday & Turning Behavioural Signals Into User Profiles

18:00 - 18:30 - Mingling
18:30 - 18:40 - Sears Israel Introduction
18:40 - 19:35 - Surviving Black Friday, a resilience engineering tale״ - Omri Fima (Eng) @ Sears

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Abstract:
The 'Black Friday fail' is the greatest fear of every major online retailer. Since downtime equals money, and in Black Friday it means quite a lot of money.

But the sad truth is that a failure of a service is inevitable, especially in a large distributed system. So how can we survive a failure of a service when it inevitably fails.

• In this lecture I will show how failures in large systems differs from failures in small systems.
• Will show examples of resilience engineering.
• Why simulate failures, and how to do it in your system.
• How to use gradual rollout, circuit breakers and automatic fallback to protect your system.
• The importance of failing fast, and failing silently.
• And the misconceptions we all have on how a large scale website failure unfolds.

Bio:
Omri (https://il.linkedin.com/in/omri-fima-b4518211) is a TechLead at Sears Israel by day , and a Maker by night. in the last year Omri is responsible on designing the user profiling, personalization and recommendation capabilities for Sears Israel.
he is experienced in large scale system architecture, and Agile methodologies as well as integrating Hardware and software to create exciting new experiences.

19:35 - 19:45 - Coffee Break

19:45 -20:30 - Turning low level behavioural signals into user profiles (Eng) - Pablo Rosenman - VP Development @ Adience

Abstract:
In this talk we will discuss the server-side system of processing a flood of low-level behavioral / time-series signals into coherent user profiles and analytics.
We’ll cover how one can be cost effective with creating and incrementally updating user profiles.
We’ll also talk about how one can take advantage of a Hadoop MapReduce (or Apahce Spark) architecture to effectively create non-linear transformations such as correlations and anomaly detections on those profiles.
We’ll briefly touch how to adapt such architectures to the next generation of micro-service based cloud computing.

Bio:
Pablo Rosenman (https://il.linkedin.com/in/pablo-rosenman-94a52825) was the VP Product Delivery at Fabrix, and is now the COO and VP Development @ Adience.