HBase Next & The Cloud-Native Future: A Strategy Session
HBase Meetup 2026: Innovations in Scalability, Caching, and Cloud Recovery
Join engineers from Cloudera, HubSpot, and Salesforce as they dive into the latest architectural advancements for Apache HBase. This session covers critical updates designed to improve performance, reduce costs, and enhance data resilience in modern cloud environments.
Highlights
- Shared Storage Read Replicas: Scale reads without the cost of data duplication.
- Massive GC Reduction: HubSpot slashed allocation stalls by hundreds of percent via "fast path" decompression.
- Continuous Backup: Real-time WAL streaming to enable Point-in-Time Recovery (PITR).
- DynamoDB on Phoenix: Use the AWS SDK to talk to HBase with new BSON/document support.
- Carrot Cache: A new pluggable engine reducing metadata memory overhead by over 90%.
- HBase 3.0 Roadmap: Updates on Beta 2, Kubernetes networking, and Zookeeper reduction.
Join the Cloudera Community to learn more! 👉https://community.cloudera.com
Explore the Full Series: 👉 https://www.youtube.com/playlist
- Get Started*
- 🔹 Watch Demos: https://www.cloudera.com/products/cloudera-data-platform/cdp-demos.html
- 🔹 Customer Success Stories: https://www.cloudera.com/customers.html
- 🔹 Read the Cloudera blog: https://www.cloudera.com/blog.html
- Resources:*
- Hear more from our customers: https://www.youtube.com/playlist
- Watch Demos: https://www.youtube.com/playlist
Chapters:
00:00 Introduction
01:30 Session 1: Read Replica Implementation in Cloud Environments
06:00 Enabling Global Read-Only Configurations
12:00 Manual Synchronization: Refresh Meta and HFiles
16:45 Q&A
33:00 Session 2: Reducing GC Pauses at HubSpot
49:45 Session 3: Continuous Backup & Point-in-Time Recovery
59:00 Q&A
01:07:00 Session 4: DynamoDB Adapters for Phoenix & HBase
02:11:00 Introducing Carrot Cache: Pure Java Off-Heap Caching
02:36:00 Session 5: Containerized HBase on Kubernetes
03:05:00 Open Discussion
03:20:00 Regulatory Compliance & Multi-Data Center Resiliency
- Connect with Cloudera*
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