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Rubrik -  - Let’s Get Physical – Cloud Data Management for Physical Workloads

Product

Let’s Get Physical – Cloud Data Management for Physical Workloads

Rubrik Cloud Data Management pioneered a complete platform to deliver mission critical data management functions to hybrid cloud enterprises. With our Rubrik Firefly release, our platform extended data management from virtual to physical workloads. The Rubrik platform radically simplifies Microsoft SQL and Physical Linux protection by enabling instant access, policy-driven automation, and security and compliance for your physical environment. Rubrik provides a comprehensive data management solution for physical, including backup, replication, recovery, and data archival. With a single pane of glass, manage both virtual and physical workloads in one consumer-grade interface. As a result, the user can define both virtual and physical SLA policies in one place. The simplicity of Rubrik extends from the UI to the deployment and scalability. Just as with your virtual infrastructure, start small and linearly scale with no limitations. Some of the key benefits include: Automated database or host discovery: Save time with a simple search and setup for backup. Once the user enters the credentials for its physical environment, Rubrik auto-discovers details of the entire physical environments, such as hosts and applications. Easily search, select, and add hosts for backup through Rubrik APIs. Granular Protection: Rubrik offers protection down to a folder or file…
Rubrik -  - Next-Gen Backup at Wabash National, North America’s Leading Semi-Trailer Producer

Customers

Next-Gen Backup at Wabash National, North America’s Leading Semi-Trailer Producer

This week, I chat with Steve Bunch, Server and Storage Manager at Wabash National, on how next-gen backup helps Wabash in its quest to keep America’s leading fleets operating efficiently. Tell me about your role at Wabash and how you landed there.   I’ve been working at Wabash for 12 years, right out of college. I started answering phones with the Tier 1 support team, worked my way up the chain, and left to get some server, backup, and virtualization experience. I received a call from Wabash with an offer to re-join as a server admin. The company was  starting to diversify and acquisitions were a part of the strategy, which meant plenty of help was needed to standardize data center environments. The team grew from 3 to 14 people, and I was promoted to Server/Storage Manager, handling everything from servers, storage, virtualization, and business critical applications. What type of backup challenges were you experiencing? Our company is active in M&A activity, which means we acquire lots of different data centers and IT stacks. It wasn’t until I brought in a backup administrator to streamline our multiple backup solutions and firmware upgrade process that I realized how challenging backup was!…
Rubrik -  - Have Your Cake and Eat It Too – Object-Level Recovery

Product

Have Your Cake and Eat It Too – Object-Level Recovery

In the last few weeks, Kenny covered how we’ve designed Rubrik to eliminate the effects of VMware application stun and JB covered why we built our own VSS Provider to take application-consistent snapshots. In this post, I’ll wrap up the app consistency series by discussing our object-level recovery and search capabilities. Maintaining application and data consistency in data protection requires a “three-layer cake” design. The base layer is our Converged Data Management platform, the next layer is the application tier, and the frosting and sprinkles are the objects/messages/files that are embedded inside the application and database. Maintaining application and data consistency in data protection requires a “three-layer cake” design. The base layer is our Converged Data Management platform, the next layer is the application tier, and the frosting and sprinkles are the objects/messages/files that are embedded inside the application and database. Our platform features a Distributed Task Framework, an engine that assigns and executes data across the cluster in a fault tolerant and efficient manner. It ensures all tasks are load balanced across the cluster and distributed to the nodes that contain the relevant data. This allows us to handle the ingestion of data across multiple nodes in parallel. Adding more…