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InfluxDB is a backing service for time series data that is becoming increasingly popular. Errplane introduced InfluxDB in 2013 as a backing service for performance monitoring and alerting. In a short time, InfluxDB has become a widely used backing service for Internet of Things, DevOps, and real-time Analytics & Machine Learning applications for time-series data ingestion, analysis and visualization. Errplane became InfluxData in 2015. InfluxData provides open source and commercialized versions of InfluxDB, as one of the leading time series platform to instrument, observe, learn and automate any system, application and business process across a variety of use cases. This is a hands-on course for building software solutions using InfluxDB. Learn the fundamentals required to implement complex and sophisticated applications that leverage the unique capabilities of InfluxDB.


The audience is anyone with a basic understanding of programming concepts, and the use of backing services. Previous experience with InfluxDB is not required.

This class is available for a variety of platforms: Windows, Linux, or MacOs. In addition, students can use their preferred integrated development environment for the development.

Two days.

Skills Gained

At the end of this class, you will be familiar with interacting with InfluxDB with multiple programming languages and IFQL (InfluxDB Query Language). This course also includes an understanding of how to leverage the InfluxDB data model for design of efficient and effective applications consuming and processing time series data. Hands-on labs in creating, writing, reading, and processing InfluxDB data stores via IFQL and programmatically enforce the concepts discussed. Data modeling discussions focus on how to determine your schema of tags, fields, and data organization.


Outline of Programming InfluxDB Kickstart Training Chapter 1. Introduction to Time Series Data

  • What is time series data?
  • How do we get started?
  • CAP Theorem
  • Eventual consistency
  • Durability
  • Scalability
  • Cardinality
  • Timestamps
  • Total Cost of Data Ownership (TCDO)

Chapter 2. Use cases for TSDB and InfluxDB

  • Monitoring
  • IoT
  • Fraud analysis
  • Event handling
  • DevOps

Chapter 3. Introduction to InfluxDB

  • Measurements
  • Tags
  • Fields
  • Shards
  • Indices
  • Retention policies
  • Tag sets
  • Databases

Architecture Chapter 4. Getting started with InfluxDB

  • Quickstart
  • TICK
  • Local Sandbox

Chapter 5. Schema design with InfluxDB

  • Schema design (tags, fields, sets, indices)
  • Data model
  • Schema optimization
  • Query optimization
  • Understanding retention policy
  • What are shard groups?
  • Importing data int InfluxDB

Chapter 6. Introduction to IFQL

  • What is IFQL
  • Query
  • Statement
  • Database vs Table
  • Accepts
  • Arguments
  • Examples

Chapter 7. API Basics

  • Batching
  • Points
  • Line protocol
  • Writing data
  • Results
  • Queries

Chapter 8. Initial InfluxDB programming with Node.js

  • Using influx in Node
  • Database connections
  • First query
  • Simple processing

Chapter 9. Performance considerations

  • Load levels
  • Query throughput
  • Write thoughput
  • Clustering data
  • Tags and Fields revisited
  • Compaction
  • Hot shard

Chapter 10. Creating an InfluxDB application with Java

  • Using influx in Java
  • Processing
  • Batching data

Chapter 11. Grafana and InfluxDB

  • Use case
  • Data source plugin
  • Annotations
  • Query editor
  • Templating

Chapter 12. Creating an InfluxDB application with Ruby

  • Using influx in Ruby
  • Time precision
  • Multi-point batch
  • Writing to specific database/file/shard

Chapter 13. E2E Python and InfluxDB

  • Using influx in Python
  • Data Frames
  • Python Data Analysis Library (pandas)

Chapter 14. Advanced InfluxDB concepts

  • Replication
  • Tuning retention
  • Using clusters
  • WAL
  • TSM
  • Pong

Chapter 15. InfluxDB Best Practices

  • Operationalize
  • Development
  • Cluster basics

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Thinking about Onsite?

If you need training for 3 or more people, you should ask us about onsite training. Putting aside the obvious location benefit, content can be customised to better meet your business objectives and more can be covered than in a public classroom. Its a cost effective option. One on one training can be delivered too, at reasonable rates.

Submit an enquiry from any page on this site and let us know you are interested in the requirements box, or simply mention it when we contact you.

All $ prices are in USD unless it’s a NZ or AU date

SPVC = Self Paced Virtual Class

LVC = Live Virtual Class

Please Note: All courses are availaible as Live Virtual Classes

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