Beyond Backup The Next Generation Commvault Data Platform
Beyond Backup The Next Generation Commvault Data Platform Michael Porfirio and Chris Gondek DAT 225
Data Retention § Data Challenge § How long? § § The value of the data against the cost of protection § How does the data explosion and distributed data change your backup § BYOD – Have you considered this mission critical data?
Move to the Cloud Security Demands Anywhere Computing Data Growth
File Systems Databases Protect Users Virtual Machines Applications Access Comply Share One Virtual Repository Dedupe Encrypt Compress Retain Replicate Tier Expire Single Index Classify Organize Report Policy Search Discover Analyze Collaborate Operations Management Manage Physical Virtual Mobile Monitor Analyze Private Report Hybrid Automate Public M Public A Saa. S
blic A Saa. S
File Systems Databases Users Virtual Machines Applications LIVE COPY USES Hardware Native Snapshots Recovery Clone Replica Mount DR Share Sync Report Analytics Traditional Backup One Virtual Repository Single Index Operations Management Physical Virtual Mobile Private Hybrid Public M Public A Saa. S
Entity Sentiment Analysis Structured Graphical One Virtual Repository Analytics, Query & Ingest Engine Rich Meta Data and Deep Object Index Single Index Operations Management Physical Virtual Mobile Private Hybrid Public M Public A Saa. S
cloud Source: IDC “ “ By 2020 15% of data will be maintained in a
Virtualisation first – A given Added infrastructure = Complexity Cloud is not just a storage location
Data Management Use Cases Traditional on premise TO Azure Private Cloud Hybrid Cloud IN Azure Public Cloud FROM Azure DATA Deployment Models
Commvault VM Backup, Recovery and Cloud Management Virtual Machine Lifecycle Build Protect Optimize Configuration • Provisioning • Operation • Protection • DR/Recovery • Retirement • Retention Starting in the private or public cloud… . . . offering smart VM protections … managing relevant retention
More Streams = Greater Performance Multi-block upload Tunable Parameters for Optimized Read / Write Natively supported = No dedicated appliances REST, Encrypted, Compressed Deduplicated, Selective, Online
The Problem The Solution
Location NYC NJ Priority 2 3 1 4 East US Southeast Asia Cloud Region Network Bandwidth Back-end Backup Size Cloud Seeding Restore Method Philadelphia Hong Kong Shanghai Milan Brazil 5 6 7 Southeast Asia West Europe East US 200 Mbs Shared US locations 20 TB 4 TB 15 MBps 4 TB Physical Ship VM 4 TB < 20 TB Less than 4 TB Network Drip N/A Physical to Cloud
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