GrafanaCONLine 2022
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Live-monitoring stocks and crypto with Grafana Cloud

Grafana is the de facto standard for time-series visualization and observability, but it’s also increasingly being used outside of the IT domain. During a recent company-wide hackathon, a team of Grafana Labs engineers decided to take on a use case that has a massive amount of time series data, where folks like to stare at time-series graphs all day (ideally up and to the right), and where up-to-date information (live data!) is critical: stocks and crypto trading by institutional and retail traders. In this session, the team will demo the live stock/crypto monitoring platform they built, combining the power of Loki, Mimir, and Grafana via Grafana Cloud.
  • Ward Bekker
    Ward Bekker
    Senior Principal Solutions Engineer at Grafana Labs
    Ward Bekker

    Ward Bekker

    Senior Principal Solutions Engineer at Grafana Labs

    Ward Bekker is based in The Netherlands and is part of the Solutions Engineering team at Grafana Labs. As a big fan of the Grafana Loki project, he likes to publish Loki how-to videos on YouTube, share project news and tips on social media, and give Loki- and observability-flavored workshops and webinars. Earlier in his career, he specialized in big data cybersecurity and worked as a developer of high-traffic websites.

  • Willie Engelbrecht
    Willie Engelbrecht
    Principal Solutions Engineer at Grafana Labs
    Willie Engelbrecht

    Willie Engelbrecht

    Principal Solutions Engineer at Grafana Labs

    Willie is currently enjoying a new hobby: astrophotography. He also loves to tinker and visualize all kinds of data in Grafana. Willie has been a user of Grafana for over 6 years and likes helping everyone democratize their observability strategy.

  • Leon Sorokin
    Leon Sorokin
    Principal Software Engineer at Grafana Labs
    Leon Sorokin

    Leon Sorokin

    Principal Software Engineer at Grafana Labs

    Leon Sorokin is a Principal Software Engineer at Grafana Labs, where he focuses on performance optimization and efficient data visualization. With a background in computer science, Leon is known for his expertise in reducing computational overhead and enhancing user experiences. He maintains an active presence on GitHub under the handle "leeoniya," where he contributes to various open-source projects and shares his insights on code efficiency. Leon is also a speaker at industry events, sharing his knowledge on topics related to software engineering and data visualization.