Maximizing Real-Time Data Processing with Apache Kafka and InfluxDB: A Comprehensive Guide

Combining Apache Kafka and InfluxDB can provide a powerful data pipeline for processing and analyzing real-time data. Kafka can be used to ingest data from various sources and stream it to InfluxDB for storage and processing. InfluxDB can then be used to analyze and visualize the data, providing insights and actionable information in real-time. This architecture can be especially useful for IoT applications, where large volumes of sensor data are generated in real-time and need to be processed and analyzed quickly. InfluxDB now offers storage in a parquet file format built on top of the Apache Arrow project that allows for querying in SQL and integration to a larger variety of visualization and analysis tools that Kafka users can now take advantage of. This talk will go into connecting the two platforms and the why, how, and what you can accomplish by doing so.

InfluxDB and IoT: Leveraging Time Series Data for Innovative Business Applications

This session will explore the intersection of InfluxDB and IoT, highlighting the latest trends and developments in time-series data management for connected devices. Attendees will learn how businesses are using InfluxDB to collect, store, and analyze massive amounts of IoT data in real-time, and how this technology is being leveraged to drive innovative new applications and experiences for customers. Examples will include use cases from various industries, such as manufacturing, healthcare, and smart cities.

Embracing the apache ecosystem and the SQL query language: A humbling lesson for a startup

We as a company made the hard decision to embrace change going into the future. We built our new back end storage engine on the open source apache ecosystem. And we gave up our own built query language for the more popular and well known SQL. These changes have rocked our company to its core and we look forward to our bright future. But to say that these changes have been smooth sailing would be a mistake. Come learn some of the changes we have made, how we have overcome the challenges of rebuilding our platform, and the struggles ahead. This talk will be valuable to anyone who is looking to take a risk at their company and wants to learn some of the first steps to take and the ones to avoid.

Harnessing the Potential of InfluxDB for IoT Applications: Real-Time Analytics and Beyond

Discover the untapped power of InfluxDB for real-time analytics in IoT applications. Learn how to seamlessly collect, store, and analyze massive streams of time-series data. Gain actionable insights, detect anomalies, and make data-driven decisions in the blink of an eye. Join us to witness the convergence of cutting-edge technology and limitless possibilities. Unleash InfluxDB's potential and transform your IoT applications today.

Building Real-Time Applications with InfluxDB and Go

In today's fast-paced world, real-time applications are becoming increasingly common. To build reliable and scalable real-time applications, developers need a powerful database that can handle high volumes of time-series data. InfluxDB is a popular choice for real-time data storage and analysis, and Go is a powerful language for building fast and efficient applications. This talk will cover how to use InfluxDB and Go together to build real-time applications. Topics will include:

Introduction to InfluxDB and Go
Storing time-series data in InfluxDB
Retrieving and querying data from InfluxDB with Go
Real-time data processing and analysis
Best practices for building real-time applications with InfluxDB and Go
Attendees will leave with a solid understanding of how to use InfluxDB and Go to build real-time applications, and they will be equipped with the knowledge to tackle complex time-series data challenges.

Building Real-Time Analytics with InfluxDB and Grafana

Ready to make your cloud-based applications smarter, faster, and more responsive? Join us for an interactive workshop where we'll show you how to build real-time analytics using InfluxDB and Grafana.
In this session, you'll learn how to set up a time-series database with InfluxDB, and then use Grafana's intuitive data visualization tools to build real-time analytics and dashboards. We will go into some of the tools that make this connection easy and painless. We'll cover everything from the basics of InfluxDB's data model and query language to the features of Grafana's alerting and graphing tools. This will include both cloud and open source options, so you can choose your own adventure.
So if you're ready to learn how to build real-time analytics that can transform your cloud-based applications fast and easy, come join us!

Building a Hybrid IoT Architecture with InfluxDB: A Hands-On Workshop

In this workshop, participants will learn how to build a hybrid IoT architecture using InfluxDB, Telegraf, and an MQTT broker. Through hands-on exercises, attendees will set up an instance of InfluxDB and Telegraf on an edge device to ingest sensor data, and explore how to downsample and replicate this data to an InfluxDB Cloud instance. Additionally, participants will learn how to build notebooks, create checks and alerts, and generate visualizations that leverage geolocation and time-series data. This workshop is ideal for developers, data analysts, and engineers who want to gain practical experience with InfluxDB and IoT, and will provide a foundation for further exploration and learning through InfluxDB University. Participants should have basic knowledge of programming and IoT concepts.

Monitoring, Alerting, And Visualizing your Node.JS server infrastructure with Open Source tools

When monitoring Node.js, you can track your applications’ performance and availability by finding bottlenecks and fixing errors. You can identify issues by specifically looking at metrics like Process memory usage, Average response time, CPU usage, and more. If you add monitoring of the other components of your entire stack, you will gain a comprehensive view of what could be impacting application performance. At that point, it can point out the problem at the code level — allowing you to track down and fix those issues before they negatively impact end user experience. This talk will focus on the tools available from the Open Source time series database InfluxDB. It will be using the open source node.js telegraf plugin, so you can easily collect key metrics to help you get that view into your application. We will be using the Node.js Monitoring Template which is prebuilt and equipped to monitor an applications' performance and availability. All code examples will be in Javascript, and we will also go over the javascript library for those who are working in other javascript server environments, or who want to export data to their preferred visualization tools.

Unlocking Value from Time Series Data with Open Source Tools in .NET

Join Zoe, Developer Advocate at InfluxData, for a session where she will share how to take charge of your time series data with InfluxDB open source time series platform using .NET. In this session, you’ll learn how open source tools like Telegraf and InfluxDB can help you build real-time applications faster and with less effort. We will also demo how to use InfluxDB to gain visibility and insight into your time-stamped data from the edge to the cloud.

Using InfluxDB with PowerBi for the ultimate analytics combo

InfluxDB is a powerful time series platform with many tools for engineers and data scientists working with time series data. Open source collection agents like Telegraf can help with sourcing data from over 300 plugin options. We’ll explore how you can use Flux query language to prepare and clean your data as well as some preliminary data analysis. As well as with our new SQL support for querying your data. InfluxDB now has parquet file support and can be integrated into PowerBi.

How Time Series Data is Helping Power a Greener Future

It can be as simple as home automation done by individuals to become a more sustainable and less wasteful household. To wind farms off the coast of the Netherlands, time series data comes in small and large packages. But it is in every facet of our lives and in creating a greener future it will play an important role. This talk will go over how time series data is used for monitoring and automation in the green energy field.
This talk will include both open source and cloud based solutions provided by multiple platforms. It will go over how important it is for time series data to be stored in a performant database built for the unique problems time series data entails. Including fast querying, alerts and monitoring, and data science analysis. If you are interested in time series data, are currently working on time series problems, or want to become more familiar. This talk will be valuable to both beginners and those more advanced, engineers and non-engineers will both find value.

Observability with InfluxDB and Open Telemetry

Many developers and Devops Engineers have become aware of using their observability data to gain greater insights into their infrastructure systems. This session shows how to record metrics, logs, and traces with one library — OpenTelemetry — and store them in one open source time series database — InfluxDB. We will demonstrate how easy it is to set up the OpenTelemetry Operator for Kubernetes and to store and analyze your data in InfluxDB

Unlocking Value from Time Series Data with Open Source Tools in Java

Join Zoe, Developer Advocate at InfluxData, for a session where she will share how to take charge of your time series data with InfluxDB open source time series platform using Java. In this session, you’ll learn how open source tools like Telegraf and InfluxDB can help you build real-time applications faster and with less effort. We will also demo how to use InfluxDB to gain visibility and insight into your time-stamped data from the edge to the cloud.

Java focused talk

Unlocking Value from Time Series Data with Open Source Tools in javascript

Join Zoe, Developer Advocate at InfluxData, for a session where she will share how to take charge of your time series data with InfluxDB open source time series platform using JavaScript. In this session, you’ll learn how open source tools like Telegraf and InfluxDB can help you build real-time applications faster and with less effort. We will also demo how to use InfluxDB to gain visibility and insight into your time-stamped data from the edge to the cloud.

Javascript focused talk

Introduction to Time-Series databases

This presentation will go over one of the fastest growing segments in the database space. Time series databases are becoming more important as more IOT devices are giving us time stamped data to work with. This is relevant to many industries and the talk will be a surface level talk that both junior to senior devs will be able to understand. Real world examples will help highlight the many use cases and can inspire startups to think about if a time-series database is right for their use cases. Although having everything in one database seems like the straightforward path, it is not always the most cost or time effective path. And for some startups a simple time-series database is all they truly need to monitor their devices.

InfluxDB: The time-series platform built for people who build cool stuff

In this hour we will walk through the basics of InfluxDB, the purpose-built time series database. We will explain the use cases and needs of time series data. InfluxDB has everything you need from UI and dash-boarding, downsampling and data analytics tools, background processing and monitoring agents. With a learning module on Flux, the data scripting and query language for InfluxDB.We will take a look at a few real world use cases focusing on IOT monitoring and Data Science Solutions. We will also talk about new tools like Edge to Cloud replication and other new improvements including those currently in the pipeline. Come learn something new and be inspired to build your own cool projects!

Building an IoT Monitoring App with InfluxDB, Python, and Flask with Edge to cloud replication

"The Internet of Things (IoT) is increasingly driven by sensor data, with devices taking measured actions based on everything from wind speed and direction, vital body functions, illumination intensity, and temperature.

In this session we will showcase how to build a fully functional sample IoT monitoring application built on the Flask framework and utilizing InfluxDB as its backend. With integrations to visualization libraries such as Plotly, creating automated alerts with InfluxDB as well as data downsampling."

Using the InfluxDB native MQTT broker to ingest IOT data the easy way

The MQTT Native Collector is an all new way to natively ingest MQTT data from your MQTT Broker into InfluxDB Cloud. This zero code solution makes it easier than ever to monitor your IoT devices in InfluxDB. This session provides an overview of the MQTT Native Collector, describes when and how to use it, and explains how it works behind the scenes. Lastly, come see a demo IoT project that utilizes the MQTT Native Collector.

Lightning talk, at max 20 minutes

Forecasting with Prophet and InfluxDB

Data collection is only half of the battle. The other half is being able to easily perform data analysis. FB Prophet aims to make time series forecasting simple and fast. In this latest Data Science Central webinar, we’ll learn how to make a univariate time series prediction with Prophet and a time series database.

Data science focused talk

Methods and Tools for Time Series Data Science Problems with InfluxDB

In this talk, we’ll explore the ways a time series platform supports data scientists. We’ll learn how you could use Telegraf open source collection agent to perform forecasting at the edge. We’ll explore how you can use Flux query language to prepare and clean your data as well as some preliminary data analysis. Next, we’ll learn about integrations with Jupyter and Zeppelin notebooks. Finally, we’ll cover some statistical properties of time series and some general recommendations for forecasting and anomaly detection algorithm selections.

Data Science focused

Unlocking Value from Time Series Data with Open Source Tools in Python

Join Zoe, Developer Advocate at InfluxData, for a session where she will share how to take charge of your time series data with InfluxDB open source time series platform using Python. In this session, you’ll learn how open source tools like Telegraf and InfluxDB can help you build real-time applications faster and with less effort. We will also demo how to use InfluxDB to gain visibility and insight into your time-stamped data from the edge to the cloud.

Python Focused

Mastering IoT Telemetry Data

The more data, the more insight, the quicker your return on investment is. What many realize quickly is that this is only half the story. In this talk, you will be walked through the journey of transforming your data into real business insight. Starting with a current review of what role time series databases take in the IoT ecosystem, some typical time series analytics applied in IoT solutions, and how to run it along with technologies like the Things Stack.

Introduction to Flux and Edge data replication

In this session we’ll learn about Flux, the data scripting and query language for InfluxDB. InfluxDB is the leading time series database platform. With Flux you can perform time series lifecycle management tasks, data preparation and analytics, alert tasks, and more. InfluxDB has two offerings: InfluxDB Cloud and InfluxDB OSS. Finally, we’ll learn about how you can use Flux and the replication tool to consolidate data from your OSS instances running at the edge to InfluxDB Cloud.

Cleaning and Interpreting Time Series Metrics with InfluxDB

Raw time series metrics data can benefit from clean-up and normalization before exposing it for broader use and storage. When dealing with large amounts of time series metrics, it can be helpful to be able to standardize the ways in which others can search through that data for specific time frames using easy to understand tags.

This technical session focuses on using Flux, the data processing language of InfluxDB open source time series platform, for addressing these challenges. Examples of how to leverage Flux to accomplish data cleansing and analytics through the browser and via Visual Studio will be demonstrated.

Developer Advocates, who they are, what they do, and how you can become one

In this talk I will highlight the importance of developer advocacy, and how this role is so diverse. Im going to talk about how our company manages our dev-rel team and our own community. What you should do if you are considering a switch into developer advocacy yourself, and some of the strategies for success in your new role. I will also tell my own story and mistakes i have learned from.

How to choose the right database for your application

In this talk, we will review the strengths and qualities of each database type from their particular use-case perspectives. Although having everything in one database seems like the straightforward path, it is not always the most cost or time effective path. Many Databases have become more specialized for the types of data they handle. Learn how to make the right choice for your workloads with this walkthrough of a set of distinct database types (graph, in-memory, search, columnar, document, relational, key-value, and time series databases). Learn about current trends in the database ecosystem and then learn about a number of different specialized databases and their strengths and weaknesses. This presentation will go over some of the fastest growing segments in the database space.