Cut Compute Costs by Scaling ClickHouse Servers to Zero on Kubernetes
Learn how to significantly reduce compute costs for ClickHouse servers on Kubernetes by leveraging the Altinity Kubernetes Operator. Discover the ‘stop: yes’ property to turn off ClickHouse pods, preserve storage, and save money on business-hours-only clusters.
Build a Low-Cost, High-Performance Analytic Platform with Kubernetes and Open Source
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 own 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 stand 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.) Presenter: Robert Hodges
Using the Schema-Agnostic Design Pattern on ClickHouse for Product Analytics at Sumsub
The Cisco Umbrella team is working with Altinity to stand up a FedRAMP Medium deployment for government customers using Altinity’s FIPS-compatible builds of ClickHouse. Join us to learn how the teams are working together on this critical project.
What is Cisco Umbrella and how does it use ClickHouse?
What are the challenges of bringing up ClickHouse in a FedRAMP environment?
How are Cisco Umbrella and Altinity working together to deploy FIPS-compatible analytics?
What lessons can we share with other users on the same path?
