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Rubrik - Blog - Meet Cerebro, the Brains Behind Rubrik’s Time Machine

Architecture

Meet Cerebro, the Brains Behind Rubrik’s Time Machine

Fabiano Botelho, father of two and star soccer player, explains how Cerebro was designed. Previously, Fabiano was the tech lead of Data Domain’s Garbage Collection team. Rubrik is a scale-out data management platform that enables users to protect their primary infrastructure. Cerebro is the “brains” of the system, coordinating the movement of customer data from initial ingest and propagating that data to other data locations, such as cloud storage and remote clusters (for replication). It is also where the data compaction engine (deduplication, compression) sits. In this post, we’ll discuss how Cerebro efficiently stores data with global deduplication and compression while making Instant Recovery & Mount possible. Cerebro ties our API integration layer, which has adapters to extract data from various data sources (e.g., VMware, Microsoft, Oracle), to our different storage layers (Atlas and cloud providers like Amazon and Google). It achieves this by leveraging a distributed task framework and a distributed metadata system. See AJ’s post on the key components of our system. Cerebro solves many challenges while managing the data lifecycle, such as efficiently ingesting data at a cluster-level, storing data compactly while making it readily accessible for instant recovery, and ensuring data integrity at all times. This is what…
Rubrik - Blog - Restoring Entire Virtual Machines in 6 Seconds with Rubrik’s Instant Recovery Technologies

Product

Restoring Entire Virtual Machines in 6 Seconds with Rubrik’s Instant Recovery Technologies

Data protection is an insurance policy used to guard against loss, corruption, and failure. Because of this, I’ve often said that the true measure of any backup solution is the ability to restore data. After all, backups that can’t be restored aren’t really worth that much to you and your team, right? There are a number of quantifiable methods for putting your eyeball on the ease of a restore, with search time, recovery time, and overall simplicity of the workflow coming to mind. The amount of moving parts involved to restore data have a direct and exponential effect on restore times. Because most all solutions require combining disparate storage and software together, many of the top solutions in the Gartner Magic Quadrant require 10 – 30 minutes to restore pieces of data. This is measure from the start of the request to the end of the workflow. That seems like an incredibly long time and there are a number of reasons for it. Other solutions have to hydrate data, transfer it from one media to another, and are using write-optimized storage volumes for restores (this doesn’t work very well). Enter Rubrik: a converged data management stack that uses a combination of flash…
Rubrik - Blog - ExponentHR Goes Forward with a Simpler, Easier DR Strategy

Customers

ExponentHR Goes Forward with a Simpler, Easier DR Strategy

Misha Vyazmensky, CTO, and Chris Gurley, Sr. Network Engineer, explain how Rubrik helped ExponentHR move forward in its DR strategy. What does ExponentHR do? Misha: Since 2001, we’ve been a leading human resource information systems SaaS platform. We help businesses (100 to 10,000+ employees) drive smarter decision-making, from running payroll to accessing vast amounts of data for financial analysis to managing employee benefit plans in light of recent legislative changes like ObamaCare. Why were you investigating a new solution for backup and replication? Misha: We have a team of 4 employees. We’re a small group supporting an enterprise-level business so we place a high emphasis on technologies that deliver simplicity and ease of management. Chris: Before, we were using a virtualization-centric backup solution that had replication capabilities to deliver off-site availability. When it worked, it was fine. When it didn’t work, it was rocket science to root cause the issue. Restores were also click-intensive and time consuming – it took a hundred clicks and 30 minutes to start restore for just 50 VMs. Why Rubrik? Chris: We were two days away from signing paperwork to expand our existing backup system when I saw Duncan Epping’s post on Rubrik. We had…
Rubrik - Blog - Contrasting a Declarative Policy Engine to Imperative Job Scheduling

Architecture

Contrasting a Declarative Policy Engine to Imperative Job Scheduling

One of the topics du jour for next-generation architecture is abstraction. Or, more specifically, the use of policies to allow technical professionals to manage ever-growing sets of infrastructure using a vastly simpler model. While it’s true I’ve talked about using policy in the past (read my first and second posts of the SLA Domain Series), I wanted to go a bit deeper into how a declarative policy engine is vastly different from an imperative job scheduler. And, why this matters for the technical community at large. This post is fundamentally about declarative versus imperative operations. In other words: Declarative – Describing the desired end state for some object Imperative – Describing every step needed to achieve the desired end state for some object Traditional architecture has long been ruled by the imperative operational model. We take some piece of infrastructure and then tell that same piece of infrastructure exactly what it must do to meet our desired end state. With data protection, this has resulted in backup tasks / jobs. Each job requires a non-trivial amount of hand holding to function. This includes configuration items such as: Which specific workloads / virtual machines must be protected Where to send data and how to store that…
Rubrik - Blog - Top 10 Reasons Not to Buy Rubrik

Business

Top 10 Reasons Not to Buy Rubrik

15-year veteran of the storage industry, born and raised in Southern California, passionate about helping to solve his customer’s business challenges through the use of technology. You’ve had the same backup system in place for the last 10 years and even though you hate it, you hate innovation even more. You believe the public cloud is just a fad so why would you ever want to store instantly recoverable copies of your backups there for pennies per gigabyte? You look forward to your annual contract negotiations with your legacy vendors. Zero time restores, granular recovery to the file level, and Google-like predictive search? Boring… You enjoy busy work… checking and re-starting failed backup jobs, clicking thirty times to kick off a re-store, manually browsing snapshots for files. You have an affinity for tape and can’t imagine your life without it. You believe the words sexy and back-up never belong in the same sentence, unless it’s in a Justin Timberlake song. You’re a big fan of complexity and have no interest in deploying a backup solution in the same amount of time it takes you to make a cup of coffee (no PS & no training necessary). You find the idea…