Process Mining with Elasticsearch + Centralized Logging Patterns

Copenhagen

Apr 4, 2019, 3:30 – 5:30 PM

RSVPs

About this event

Join us for our next Elastic Copenhagen meetup! We will have two talks:

* Talk 1: Process Mining with Elasticsearch

Learn how Elastic partner Infoventure leverages Elasticsearch as the core engine for mapping and analysis of business processes in realtime. Get to understand why Elasticsearch was selected as the core engine compared to other enterprise data platforms and see a demo of InfoVentures Process Navigator tool.

Presenters: Alexander M. Littau, CTO and Equity Partner at Infoventure,
Marcus Emil Jacobsen, Data Scientist and Principal Developer

* Talk 2: Centralized Logging Patterns

Most organizations feel the need to centralize their logs — once you have more than a couple of servers or containers, SSH and tail will not serve you well any more. However, the common question or struggle is how to achieve that.

This talk presents multiple approaches and patterns with their advantages and disadvantages, so you can pick the one that fits your organization best:

- Parse: Take the log files of your applications and extract the relevant pieces of information.
- Send: Add a log appender to send out your events directly without persisting them to a log file.
- Structure: Write your events in a structured file, which you can then centralize.
- Containerize: Keep track of short lived containers and configure their logging correctly.
- Orchestrate: Stay on top of your logs even when services are short lived and dynamically allocated on Kubernetes.

Each pattern has its own demo with the open source Elastic Stack (previously called ELK Stack), so you can easily try out the different approaches in your environment. Though the general patterns are applicable with any centralized logging system.

Presenter: Philipp Krenn, Community Advocate at Elastic

Food and beverages will be provided.

When

When

Thursday, April 4, 2019
3:30 PM – 5:30 PM UTC

Organizer

  • Thomas Watson

    Co-organizer

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