Anais Dotis-Georgiou
Developer Advocate, InfluxData
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Anais Dotis-Georgiou is a developer advocate at InfluxData with a passion for making data beautiful using data analytics, AI, and machine learning. She takes the data that she collects and does a mix of research, exploration, and engineering to translate the data into something of function, value, and beauty. When she’s not behind a screen, you can find her outside drawing or playing soccer.
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Unleashing the Power of AI in IoT with InfluxDB 3.0
n the rapidly evolving IoT landscape, integrating disparate platforms to harness real-time insights remains a challenge. Many professionals grapple with the complexities of infrastructure setup, data streaming, and achieving cost-efficient scalability.
How can one seamlessly merge the capabilities of leading platforms like HiveMQ and InfluxDB 3.0 to create robust, AI-powered IoT solutions? Join our webinar for answers and stay ahead in the IoT game.
Top 10 Hurdles for Flux Beginners
Are you new to Flux? Let Faith and Anais help jump-start your learning curve. In this talk, they will introduce you to some common mistakes that beginner Flux users make and also share some best practices.
Machine Learning with Telegraf Execd Processor Plugin
Detect data anomalies in IoT temperature data with Python and Telegraf. The perfect batch of beer requires ideal brewing conditions; join Anais and Steven as they supercharge Luke's brew setup with custom Telegraf plugins to catch anomalous temperature readings in time to intervene.
Learn Flux by Example
Learn Flux by example with the NOAA dataset, and follow along as we go over some of the most common Flux questions from community members.
InfluxDB's Checks and Notifications System
In this session, we learn all about InfluxData's flexible and powerful Checks and Notifications System including how to write custom checks and notifications.
InfluxDB 3.0 and the Apache Ecosystem
In this talk, we'll learn about InfluxDB 3.0 and how it leverages the Apache Ecosystem to provide incredible story and query performance as well as increased interoperability. Then we'll dive into a variety of projects and use cases to understand how InfluxDB can be leveraged in the IoT, DevOps monitoring, and Data analytics spaces with the help of several other tools.
Harnessing the Power of InfluxDB Cloud IOx and OpenTelemetry to Uphold SLOs
In this talk, we explore the synergy between time series database, and OpenTelemetry standards, which together help organizations maintain their Service Level Objectives (SLOs) with precision and ease. We will discuss the significance of SLOs, the critical role of observability in modern systems, and the advantages of InfluxDB Cloud. Additionally, we will highlight the benefits of the InfluxDB Cloud architecture, which combines columnar-based data storage for high-performance queries and storage logs, traces, and metrics. Then we'll explore a demo that leverages Jaeger (to collect and visualize trace), InfluxDB (to collect metrics, logs, and traces) and Grafana (to visualize metrics) from an application.
Harnessing the Power of InfluxDB and OpenTelemetry
In this talk, we explore the synergy between InfluxDB Cloud and OpenTelemetry standards, which together help organizations maintain their Service Level Objectives (SLOs) with precision and ease. Finally, we’ll highlight the benefits of the InfluxDB v3, which leverages the Apache Ecosystem.
Get MAD! (Median Absolute Deviation)
Get MAD! (Median Absolute Deviation)
The beautiful thing about using InfluxDB as a time series data store is that you get to have more control over your data, and the algorithms that detect anomalies.
In this talk by Developer Advocate, Anais Dotis-Georgiou, we'll learn:
- How Median Absolute Deviation algorithm works
- Numerical example of Median Absolute Deviation
- Identifying an anomalous series
- Using Flux to calculate the MAD and flag anomalies
- MAD on large datasets to assist in root cause analysis efforts
- How to contribute a User Defined Flux Package
Anomaly Detection with InfluxDB and Mage.ai
In this talk we'll learn about how we can leverage InfluxDB 3.0 with Mage to create an anomaly detection and alert pipeline on some generated machine data.
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