TDengine is a time-series database purpose-built for Industry 4.0 and Industrial IoT. It enables real-time ingestion, storage, analysis, and distribution of petabytes of data per day, generated by billions of sensors and data collectors. With TDengine making big data accessible, valuable, and affordable, digital transformation has never been easier.

TDengine

Join us for a practical session on deploying a high-availability TDengine time-series database cluster using AWS CloudFormation and EC2 instances. In this live demo, you’ll see how to set up a resilient TDengine cluster, ensuring continuous operation and fault tolerance. We’ll showcase how the cluster maintains seamless performance and data integrity even when individual nodes are intentionally taken offline for maintenance or unexpected failures.

Key takeaways include:

*   How to deploy a high-availability TDengine cluster using AWS CloudFormation and EC2
*   Techniques to ensure fault tolerance and uninterrupted operation
*   Best practices for maintaining cluster reliability and data integrity during node failures or maintenance

Who should attend:

*   DevOps engineers looking to simplify high-availability deployment
*   Data platform architects focused on real-time operational resilience
*   Developers and system integrators working with time-series or IoT workloads
