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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 Outdated data management solutions require IT teams to spend valuable time maintaining and troubleshooting, and also prevent organizations from getting the most out of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…
Rubrik - Blog - How Automation Can Advance Your Career

General Tech

How Automation Can Advance Your Career

Working in IT keeps you on your toes as you constantly evaluate, test, and implement new technologies and applications. In many ways, IT environments are getting more difficult to manage and protect due to rapid data growth, the increase in available tools and integrations, and the rise of cloud adoption. In addition, IT organizations are now (finally!) often considered strategic business partners as data becomes more valuable and business-critical. This shift also means that IT admins are often asked to do more with less, which is why many organizations are leaning on automation. And (despite popular belief) creating scripts and automated tooling isn’t just for developers. Any IT professional—whether you’re an entry-level backup admin or seasoned DBA—can leverage automation. It’s a great way to meet your goals and advance your skillset. To give you a little inspiration, I can still remember exactly where I was and what process I automated for the first time. It was a fully automated NetApp Clustered Data ONTAP upgrade process that included creating a temporary HTTP server that could be used in the field. I also remember, looking back at that specific piece of automation, how rudimentary it was compared to what I’m doing today.…
Rubrik - Blog - Auto-Protect and Cross-Region Replication Using AWS Tags

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Auto-Protect and Cross-Region Replication Using AWS Tags

Rubrik Polaris, our innovative SaaS platform, delivers a new breed of data management applications designed to tackle data fragmentation and simplify protection across data centers and clouds.  Many customers who have adopted Polaris leverage the platform for their AWS workloads and are continuing to look for ways to increase automation and ditch manual tasks and ad-hoc scripts.  In response to these needs, Polaris now has the ability to protect Amazon Elastic Compute Cloud (EC2) instances and Amazon Elastic Block Store (EBS) volumes automatically upon creation through the use of snapshots. Once these snapshots have been taken, they can be configured to replicate automatically to another AWS Region. Auto-Protecting Using AWS Tags When speaking with our customers, we found that many want the ability to automatically apply appropriate protection policies to resources whenever an Amazon EC2 instance or Amazon EBS volume is created. By leveraging AWS tags, Polaris gives users the flexibility to determine precisely which resources to protect and when they should be protected. Polaris makes setting up auto-protection using tags incredibly simple to implement. Users simply need to create a tag rule in the Polaris dashboard that specifies the: tag to monitor. AWS account to manage. SLA Domain that…
Rubrik - Blog - GraphQL vs REST: What You Need to Know

General Tech

GraphQL vs REST: What You Need to Know

Of late, GraphQL has been presented as a revolutionary alternative to REST APIs—but as with anything else, it has its pros and cons. In some scenarios, GraphQL will indeed be a better solution, but in others, you might find that REST APIs are still preferable. This blog post will walk through the basic differences between GraphQL and REST APIs so you can make the best possible decisions for your automation needs. GraphQL: An Introduction GraphQL follows the same set of constraints as REST APIs, but it organizes data into a graph using one interface. Objects are represented by nodes (defined using the GraphQL schema), and the relationship between nodes is represented by edges in the graph. Each object is then backed by a resolver that accesses the server’s data. When a GraphQL server responds to an end user’s request, it begins with the query root, and the resolver executes every field on the requested object. A key-value map houses each field’s values, and some return another object selecting another set of fields. This continues until only a string or a number is returned. The server then responds with a nested set of objects, as requested by the end user. The…