Build a Low-Cost, High-Performance Analytic Platform with Kubernetes and Open Source

Recorded: July 27 @ 10:00 am PT
Presenter: Robert Hodges, CEO @Altinity

Tired of big bills from Snowflake and BigQuery? Want to keep data in-house? Trying to avoid vendor lock-in? Solve these problems and more by building your cloud-native analytic service.

We start with the architecture of close-source, cloud analytic databases like Snowflake. We then introduce an equally capable design for real-time analytics built entirely on robust open source.

Next, we set up an example using Kubernetes for the run-time, ClickHouse® as the query engine, and infrastructure-as-code to deploy apps. Ingest, visualization, and system services are all included.

The talk ends with cost numbers to prove that you can operate the service at a fraction of the cost of your current cloud database. 
(Code used in the platform demo is open source and available on GitHub.)

Here are the slides:

More resources

• Kubernetes Operator
• Kubernetes for beginners, What is Kubernetes, & Kubernetes basics
• Bring your own cloud
• Kubernetes cost optimization and Kubernetes cost management
• Altinity Kubernetes operator for ClickHouse (aka the clickhouse-operator)
• Bring up ClickHouse on Kubernetes with Argo CD
• Kubernetes operator and cloud native apps
• Kubernetes (and ClickHouse) monitoring
• The dangerous of vendor lock in
• Managing EBS GP3 Volumes in Kubernetes (EKS)