Debunking Common Myths of Cassandra Backup
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The document discusses common myths about backup and test data management in Cassandra, highlighting that data replicas and snapshots do not effectively prevent data loss. It emphasizes the challenges of traditional backup processes and the complexity of test data management. The Talena architecture offers a modern solution with capabilities like deep de-duplication and high availability.
Debunking Common Myths of Cassandra Backup
- 1. Confidential and Proprietary1 Debunking Common Myths About Cassandra Backup and Test Data Management Hari Mankude, CTO December 2016
- 2. Confidential and Proprietary2 My Background
- 3. Confidential and Proprietary3 Why Bother With Backup and Test Data Mgmt? The average cost of a data loss incident is $900,000 90% of enterprises delay applications because of a lack of test data • Source: EMC, Talena
- 4. Confidential and Proprietary4 Myth #1 Data Replicas Prevent Data Loss N1 N2 N3 N4 Human errors: dropping column of a table Application corruption: incorrect updates to a column
- 5. Confidential and Proprietary5 Myth #2 Cassandra Replication Prevents Data Loss N1 N2 N3 N4 N5 N6 N7 N8Data Center #1 Data Center #2
- 6. Confidential and Proprietary6 Myth #3: Cassandra snapshots are an effective backup strategy Snapshots result in storage amplification due to compaction PROBLEM Need scheduler to take timely snapshots & delete older restore points PROBLEM
- 7. Confidential and Proprietary7 Myth #4: Restoring from snapshots is trivial When your cluster size changes due to addition or deletion of nodes PROBLEM If you have config (e.g., compaction policy) or name changes PROBLEM Scaling your restore to hundreds of nodes PROBLEM
- 8. Confidential and Proprietary8 Myth #5: The traditional backup/restore process works
- 9. Confidential and Proprietary9 Myth #6 Test Data Management Is A Simple Process Change Request - 1 week Provision Production Data - 1 week Create Test DB and Mask Data - 1 week Create Samples of Production Data – 2 days Push Production Data To Test – Hours Repeat Process – 3-4 weeks
- 10. Confidential and Proprietary10 The Evolution of Data Management THE NEXT 25 YEARS THE TRADITIONAL WORLD Data ManagementData Platforms
- 11. Confidential and Proprietary11 Talena in Production Test Cluster Research Cluster Talena GUI Hadoop/Spark Cluster Cassandra Cluster Vertica Cluster Couchbase Cluster Talena Smart Storage Cluster
- 12. Confidential and Proprietary12 The Talena Architecture • Deep de-duplication and compression with app-aware architecture • Incremental-forever backup architecture • High availability via erasure coding in distributed cluster architecture Smart Storage Optimizer
- 13. Confidential and Proprietary13 The Talena Architecture Native querying and analytics via active compute layer Unbounded scale with a Hadoop-native architecture Smart Storage Optimizer Active Compute Services Distributed File System
- 14. Confidential and Proprietary14 The Talena Architecture • Google-like catalog shortens data recovery time • Automatic schema generation for mirroring and backups • Granular recovery at an object level • Recovery to multiple topologies • Native integration with LDAP and Kerberos for authentication • Role-based access control defines specific privileges • Transparent data encryption • Masking for PII data Smart Storage Optimizer Active Compute Services Distributed File System Metadata Catalog Data Orchestration ServicesSecurity Services
- 15. Confidential and Proprietary15 Smart Storage Optimizer The Talena Architecture GUI CLI API Active Compute Services Distributed File System • ‘Single pane of glass’ for multiple use cases and data platforms • Agentless architecture minimizes management overhead • GUI, CLI, REST-based Talena API options Metadata Catalog Data Orchestration ServicesSecurity Services
- 16. Confidential and Proprietary16 Q&A We’ll send you a link to our eBook “The Cassandra Backup Guide” Additional resources: talena- inc.com/resources and talena-inc.com/blog Ping us with any additional questions: info@talena- inc.com
- 17. Confidential and Proprietary17 Q and A
Editor's Notes
- #2: .
- #10: ----- Meeting Notes (9/1/16 13:59) ----- Change the slide ----- Meeting Notes (9/1/16 16:03) ----- Add sampling bullet point Then push sampled data to test Add repeat bucket
- #11: Starting over 20 years ago, the traditional database market became the foundation of enterprise applications. A whole ecosystem of data management products emerged to provide capabilities like backup/recovery (Veritas), storage pooling (Data Domain) test/dev management (Delphix) and Iron Mountain (archiving). But, companies had to purchase separate products to provide a full data management solution for their enterprise. Over the past few years and into the foreseeable future, modern data platforms will become new hubs of enterprise applications. These modern data platforms also need data management capabilities, similar to what happened with traditional databases. (Click for build) Our vision is to help companies with their critical data management needs in a single software product, one that is optimized specifically for these modern Big Data environments.
- #13: The next few slides will introduce the unique Talena architecture and highlight how this architecture delivers on these core business benefits. One of the most significant components of our architecture is our Smart Storage Optimizer. By integrating compute and storage management into our storage optimizer, we’re able to deliver significant cost savings. Our application-aware architecture enables us to do deep de-duplication and compression. Our backup process is incremental-forever, saving on storage costs, and by incorporating erasure coding we also ensure high availability no matter how large a Talena cluster you choose to deploy.
- #15: Supports transparent data encryption in the security services section
- #16: Our agentless architecture makes Talena an ideal solution for big data architectures and minimizes your operational overhead. Furthermore, Talena can support multiple data platforms, versions, and use cases in a single deployment of Talena, thereby providing a “single pane of glass” for all your big data management needs. While most of our clients work within our user interface, we also provide a REST-based API to accomplish the same tasks.