Time Series Meetup: The Virtual Edition

We’re a diverse bunch who have one thing in common: we want developer life to be happy and that means building better tools and understanding new concepts.
Time Series Meetup: The Virtual Edition

What are time series meetups?

Time series meetups are events for everyone who is passionate or curious about time series data and how it can be used.

Interested in attending?

Time series data is gaining momentum and we’re set on exploring and pushing its boundaries by learning from each other’s experiences. We’re like NASA for time series but nobody has to sit on top of jet fuel.

Check out the next virtual meetup below to find a time perfect for you. These sessions will be recorded and posted to our YouTube page.

December 16, 2020

10 am PST  |  6 pm GMT  |  REGISTER NOW!

Obtaining the Perfect Smoke By Monitoring Your BBQ with InfluxDB and Telegraf

Will Cooke | Engineering Manager, Storage Team, InfluxData
Scott Anderson | Technical Writer, InfluxData
Abstract

Did you know you can use InfluxDB to monitor your BBQ and to ensure the tastiest results? Join this meetup to learn two different approaches to using a time series database to monitor a BBQ or a smoker. Learn how Will Cooke uses Python, MQTT, Telegraf and InfluxDB 2.0 to monitor his smoker and to gain insight into temperature changes, the stall, and other important stats about his brisket. Scott Anderson will demonstrate how he uses a FireBoard wireless thermometer, Telegraf and InfluxDB 2.0 to continuously work towards the perfect smoke.

Will Cooke

Will Cooke: Will leads the Storage Engine team at InfluxData. He has a diverse background originally specializing in data networks and global communications systems and has provided consultancy to clients such as BT, Verizon, Inmarsat and Schlumberger. Will has a passion for IoT and connected things, free and open source software and drawing charts of all the things. He has three kids, plays golf badly and has recently gained his Amateur Radio license in the UK.

Scott-Anderson

Scott Anderson: Scott Anderson is a Technical Writer for InfluxData who thrives on distilling complex information into simple, easy-to-understand concepts. His formal education is in graphic design, but he is a self-taught coder and applies skills and principles learned in both worlds to many different disciplines including programming and software development, information design, and data processing. He was born and raised in West Texas where he gained a love for Texas-style BBQ at an early age. Now he uses technology to inch closer to the "perfect smoke".

Past Events

September 23, 2020

How to Use InfluxDB and Grafana to Monitor Your Aquarium

Jeremy White | Senior Network Automation Consultant, Network to Code
Abstract

Time series has countless applications at work and at home. Jeremy has created a Raspberry Pi-based aquarium controller by using the Django REST framework toolkit, InfluxDB and Grafana. After creating his own IoT monitoring solution, Jeremy's fish and coral are thriving in their new 200 gallon aquarium. By using a time series database, Jeremy has been able to stabilize his aquarium environment even further. Discover how you can create a plug-and-play solution which will enable data-driven decisions and help you understand the current status of your aquarium better.

View presentation

Jeremy White

Jeremy White is a network automation developer. He is currently a platform architect at Network to Code, a network automation startup based out of Manhattan that is focused on open source vendor agnostic solutions that are able to translate months to minutes within the network realm. This encompasses aspects from device configuration to event based automation triggered from telemetry data gathered from network devices. The tools in his tool belt have predominately been self taught out of necessity to fill holes left from existing manual processes. In his free time he has been applying what he has learned from network automation to his home aquarium. This has spawned a whole new realm of collection of telemetry data to make informed decisions when it comes to the overall health of his ~200 gallon saltwater reef.

July 21, 2020

Get MAD! Median Absolute Deviation with Flux for Anomaly Detection & Contributing Custom Flux Packages

Anais Dotis-Georgiou | Developer Advocate, InfluxData
Abstract

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, Developer Advocate, Anais Dotis-Georgiou wil cover:

  • 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

View presentation   Read blog

About

Anais Dotis-Georgiou is a Developer Advocate for InfluxData with a passion for making data beautiful with the use of Data Analytics, AI, and Machine Learning. She takes the data that she collects, does a mix of research, exploration, and engineering to translate the data into something of function, value, and beauty. When she is not behind a screen, you can find her outside drawing, stretching, boarding, or chasing after a soccer ball.

June 25, 2020

Using a Raspberry Pi Cluster to Monitor with InfluxDB and Telegraf

Andrew Brower | Senior Software Engineer, Human Interest
Abstract

Explore using Ansible and Docker to set up a Raspberry Pi cluster from scratch! Walk through building an affordable Raspberry Pi cluster, and using InfluxDB + Telegraf to monitor the cluster itself. See what a Raspberry Pi cluster can do, and how Ansible can automate configuring Telegraf on machines on your own network.

About

Andrew Brower is a Senior Software Engineer at Human Interest. His free time is often spent 3D printing. He is passionate about devops, monitoring and security.

May 28, 2020

Introducing ClickHouse — The Fastest Data Warehouse You've Never Heard Of

Robert Hodges | CEO, Altinity
Abstract

The market for scalable SQL data warehouses is dominated by proprietary products. ClickHouse is one of the first open source projects to give those products a run for their money. ClickHouse scales to hundreds of nodes with ingest measured in millions of events per second. The user community includes CloudFlare, Cisco, and numerous financial services companies. This talk briefly recounts the history of ClickHouse, starting with its origins at Yandex, then dives into popular features. These include column storage with efficient data encoding and compression, vectorized query execution, sharding and replication, and materialized views. We will end with a short survey of popular use cases and questions.

About

Robert Hodges is the CEO of Altinity, a venture-backed startup that markets ClickHouse to enterprises. He is also a database geek who has used or worked on over 20 different database systems. Other interests include distributed systems, Kubernetes, and open source. He is an organizer of the San Francisco ClickHouse meetup.

April 28, 2020

Introduction to Time Series in a Practical Way

Saiyam Pathak | Software Engineer, Walmart Labs
Abstract

In this session, Saiyam will discuss the what, why and how of InfluxDB time series database. The session will feature several demos on Kubernetes that can be performed by the viewers. He will also discuss Telegraf and its plugins and will use Kubernetes plugin as well during the demo(s).

About

Saiyam is Software Engineer of the large scale multi cloud kubernetes project, and works on Kubernetes at Walmart Labs with a focus on creating and managing the project ecosystem. Previously at HP and Oracle, Saiyam has worked on many facets of Kubernetes including scaling, multi-cloud, managed kubernetes services, k8s documentation and testing. He’s worked on implementing the major managed services (GKE/AKS/OKE) in different organizations. When not coding or answering Slack messages, Saiyam works on contributing to the community by writing blogs and giving sessions on InfluxDB, Docker, and Kubernetes.

March 31, 2020

Prophet for Forecasts with InfluxDB

Anais Dotis-Georgiou | Developer Advocate, InfluxData
Abstract

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. We’ll learn how to make a univariate time series prediction with Prophet and InfluxDB.

About

Anais Dotis-Georgiou is a Developer Advocate for InfluxData with a passion for making data beautiful with the use of Data Analytics, AI, and Machine Learning. She takes the data that she collects, does a mix of research, exploration, and engineering to translate the data into something of function, value, and beauty. When she is not behind a screen, you can find her outside drawing, stretching, boarding, or chasing after a soccer ball.

How to Grow Peppers Using InfluxDB

Aleksandr Tavgen | Software Architect, Playtech
About

Alex is a Software Architect at Playtech. His main points of interest are data science and machine learning, distributed systems, graph computations and domain design. Alex finds it hard to define where he is from, as he says: “I am some kind of nomad, digital nomad. I am from Tallinn, but lived in Germany, Sweden and the UK. I have been in in IT development for more than 17 years, but actually everything had begun much earlier. My classmate and I wrote our first game for Soviet computer when we were 13 — it was written on Basic. A spaceship bombed tanks while tanks tried to hit the spaceship.” Having shifted from Developer to DevOps Engineer, Alex has always been interested in technology, development, math and computer science and has worked in diverse fields at all levels of abstraction, from micro controllers to high-level declarative programming and all points in between.

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