Explore the revolutionary cloud-first storage model for streaming data in this Linux Foundation webinar. Discover how leveraging public cloud object stores like AWS S3 and Google Cloud Storage as default storage can significantly reduce costs and unlock new capabilities. Learn about the key drivers behind this approach, its advantages over traditional local disk storage, and the exciting possibilities of combining real-time and historical data. Gain insights into instant disaster recovery, fast cluster scaling, offloaded analytics, and the creation of "stretch clusters." Understand how this model provides a single interface for accessing both real-time and historical data, enabling more efficient and cost-effective streaming data environments.
New Application Capabilities Unlocked by Infinite Storage for Streaming Data
Overview
Syllabus
Intro
The evolution of streaming data technologies
Immutable append-only logs
Local-only storage limits data retention
Tiered storage leverages the cloud
Redpanda tiered storage overview
Tiered storage limitations
A cloud-first storage engine
Instant disaster recovery (DR) clusters
Fast decommissioning/scaling of clusters
Offload analytics from operational clusters
Build "stretch clusters"
Single interface to access real-time and historical data
Separation of concerns
Taught by
Linux Foundation
