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Rubrik - Blog - Better NAS Backup RPO with Changelist Snapshots

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Better NAS Backup RPO with Changelist Snapshots

Although NDMP has long been the de facto approach for protecting NAS data, some limitations have led Rubrik to choose a different approach from day 1, leveraging NFS and SMB instead.  To ensure that customers are able to reliably protect their data and recover quickly from data corruption and data loss, Rubrik takes an approach that obviates the need for complex NDMP implementations. Three-phase Approach NAS protection with Rubrik utilizes a three-phase approach. Each phase is optimized using modern techniques such as snapshot API integration, data partitioning, and parallel file streaming. The Rubrik three-phase approach for NAS protection includes: Scan: Rubrik identifies which files need to be protected for full or incremental backups. Fetch: Rubrik takes the list of files from the Scan phase and reads them over the NAS protocol. Copy: Rubrik compresses, encrypts, and writes the data to either the Rubrik cluster or, using NAS Direct Archive, to an archive location on-premises or in the cloud. NAS Data Scan File scanning has historically been the biggest bottleneck for NAS backup performance. This challenge has only grown as the amount of data has grown. Previous approaches, such as image-level backups, have increased backup performance by avoiding file scanning altogether.…
Rubrik - Blog - How to Create a Successful Data Lake

General Tech

How to Create a Successful Data Lake

Data-driven decision making is transforming how businesses and IT operate. As organizations look to access all types of information, they have carved out a need for higher-level infrastructure experts who help unlock new value from their data. The modern-day DBA has an opportunity to be an in-house expert and operate as a strategic business partner for managing this data and ensuring it is available to those who need it. To do this, in addition to building up their cloud and DevOps skills, many DBAs are delivering on this opportunity by turning to data lakes, a large repository into which data—in its raw, natural form—flows from many sources. Users across an organization can then access and analyze the centralized data. The true power of a data lake shines when you can maximize adoption across your enterprise so that big data informs as many business decisions as possible. To create your own data lake, you’ll need to decide on platforms and data sources, but, most importantly, you’ll need to determine how you can present the data lake to stakeholders to increase adoption across the organization. What is a Data Lake & Do You Need One? Enterprises in all industries and of all…
Rubrik - Blog - The Right Recipe for a Multi-Cloud Transition

General Tech

The Right Recipe for a Multi-Cloud Transition

An inside look at how America’s Test Kitchen navigated their multi-cloud journey The outset of a new year (and a new decade) is prime time for IT teams to reevaluate their environments and scope out new data management strategies. And yet, with talk of digital transformation and cloud journeys saturating the air at tech conferences and consuming Twitter feeds, it’s also prime time for IT leaders to catch a case of the buzzword blues. The amount of information and choices available can be more paralyzing than freeing, leaving IT teams trudging into 2020 without any energy or motivation to enact change and modernize their infrastructure.  But before all the buzzwords have you spinning into an existential crisis, consider taking a page out of Dustin Brandt’s book. Brandt, Director of IT at America’s Test Kitchen (ATK), saw a relocation in ATK’s headquarters as an opportunity to reduce their data center footprint and overhaul their entire IT infrastructure. Despite challenges of re-platforming and re-provisioning infrastructure, ensuring consistent security, and navigating complex network integrations, Brandt also seized this opportunity to transition to a multi-cloud model. Take a look at how Brandt and his team made these changes as painless as possible, and what…
Rubrik - Blog - 5 Signs You’ve Outgrown Your Legacy Data Management System

General Tech

5 Signs You’ve Outgrown Your Legacy Data Management System

Despite all the talk about “data-driven decisions,” one thing is often neglected: making sure the data is actually ready to “drive.” Too many companies continue to cling to their legacy IT systems, even when those systems no longer fit the business. Outdated data management solutions require IT teams to spend valuable time maintaining and troubleshooting, and also prevent organizations from getting the most out of their data. On top of this time-consuming management, relying on legacy technology can increase vulnerability to serious risk factors—from customer dissatisfaction to security breaches. So, how can you tell that you’ve outgrown your legacy data management system and that it’s time for a change? Here are five strong signals. Unnecessary Complexity Has You Spinning Your Wheels Legacy data management often entails a complicated, multi-tiered architecture that results in siloed data and disorganization. As a result, maintenance requires a lot of manual work. These are some of the signs that you’re mired neck-deep in unnecessary complexity: Your team spends time devising workarounds for software or designing workflows specifically to accommodate a legacy technology’s capabilities. Your team has created a Frankenstein-like combination of supplemental software to make up for the shortcomings of your legacy system
. Your team…
Rubrik - Blog - Rubrik Intelligent Data Tiering Helps Customers Optimize Microsoft Azure Storage Consumption

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Rubrik Intelligent Data Tiering Helps Customers Optimize Microsoft Azure Storage Consumption

The advantage of automation for archiving your protected data in storage tiers is really about one thing – optimizing storage consumption costs. Storing data in Azure Storage Archive or Cool tiers saves costs for enterprises but requires time and effort to retrieve or move that data. Many Rubrik customers store snapshots, or point-in-time images of their workloads, in the public cloud using blob storage. Storage tiering in Azure requires the use of General Purpose v2 (GPv2) storage accounts. Here is a table of the General Purpose v2 storage tiers: * Data housed in the Premium tier cannot be migrated to any other tiers currently Let’s dive a bit deeper into the use cases for utilizing this tiering. For example, suppose you have an audit requirement to store certain year-end financial data for up to 24 months and make the data readily accessible for up to 6 months. That data will be initially stored in the Hot tier for the first 6 months, then moved to the Archive tier, where it will remain until it expires in 17 months and is finally retired. Example use case for using Archive storage tiering In this scenario, tiering is optimal for satisfying retrieval and…