This site uses cookies to improve your experience. To help us insure we adhere to various privacy regulations, please select your country/region of residence. If you do not select a country, we will assume you are from the United States. Select your Cookie Settings or view our Privacy Policy and Terms of Use.
Cookie Settings
Cookies and similar technologies are used on this website for proper function of the website, for tracking performance analytics and for marketing purposes. We and some of our third-party providers may use cookie data for various purposes. Please review the cookie settings below and choose your preference.
Used for the proper function of the website
Used for monitoring website traffic and interactions
Cookie Settings
Cookies and similar technologies are used on this website for proper function of the website, for tracking performance analytics and for marketing purposes. We and some of our third-party providers may use cookie data for various purposes. Please review the cookie settings below and choose your preference.
Strictly Necessary: Used for the proper function of the website
Performance/Analytics: Used for monitoring website traffic and interactions
Pure Storage and Rubrik are expanding their partnership to offer a holistic and secure reference architecture that tackles the challenges of managing and securing unstructured data at scale. A modern data storage solution unifies block and file services in a single storage pool while optimizing capacity through deduplication and compression.
Parallel Architecture Benefits Multi-stream AI Workloads Building foundational models with complex data input requires powerful, scale-out accelerated compute. FlashBlade//S couples high-throughput, low-latency performance with industry-leading energy efficiency of 1.4TB effective capacity per watt. All as-a-service.
Being able to choose between different compute architectures, such as Intel and AMD, is essential for maintaining flexibility in your DR strategy. Key Takeaways: Thorough capacity planning : Accurately assess your compute requirements to ensure you have sufficient capacity for an extended DR scenario.
3 Primary Factors for Choosing Disaster Recovery Storage Storage Size / Capacity It is important to consider how much storage will be needed for disaster recovery. You may be protecting all your data and applications for disaster recovery, or you may only be protecting business-critical systems. How much are you protecting?
Recovery Time Objective (RTO): Measures the time it takes to restore applications, services, and systems after a disruption. Data Protection and Recovery Architecture Why It Matters: Data loss during a disaster disrupts operations, damages reputations, and may lead to regulatory penalties. Inadequate bandwidth can create bottlenecks.
As AI progressed, each wave of innovation placed new demands on storage, driving advancements in capacity, speed, and scalability to accommodate increasingly complex models and larger data sets. They lack the agility, performance, and scalability required to support AIs diverse and high-volume data requirements.
Firms designing for resilience on cloud often need to evaluate multiple factors before they can decide the most optimal architecture for their workloads. Example Corp has multiple applications with varying criticality, and each of their applications have different needs in terms of resiliency, complexity, and cost. Trade-offs.
FlashBlade//S builds on the simplicity, reliability, and scalability of the original FlashBlade ® platform, with a unique modular and disaggregated architecture that enables organizations to unlock new levels of power, space, and performance efficiency using an all-QLC flash design. FlashBlade//S: A Solution for Tomorrow’s Challenges .
In this blog, we talk about architecture patterns to improve system resiliency, why observability matters, and how to build a holistic observability solution. As a refresher from previous blogs, our example ecommerce company’s “Shoppers” application runs in the cloud. The monolith application is tightly coupled with the database.
On premises or cloud” has given way to hybrid operational and purchasing models, even for portions of the same applications or application stack. To that end, we’ve expanded our portfolio to provide more choices for subscriptions built on Evergreen architecture. Capacity mobility. Should I budget for years or months?
In this blog post, we share a reference architecture that uses a multi-Region active/passive strategy to implement a hot standby strategy for disaster recovery (DR). With the multi-Region active/passive strategy, your workloads operate in primary and secondary Regions with full capacity. This keeps RTO and RPO low.
Taming the Storage Sprawl: Simplify Your Life with Fan-in Replication for Snapshot Consolidation by Pure Storage Blog As storage admins at heart, we know the struggle: Data keeps growing and applications multiply. Enter your knight in shining armor—snapshot consolidation via fan-in replication.
If you think about it, each of the six pitfalls could apply to (or be solved by) your FlashStack ® database and application infrastructure overall. FlashStack is supported by Cisco Validated Designs (CVDs), which are predefined architectures for the industry’s most common workloads. Outdated Legacy Architecture .
How to Achieve IT Agility: It’s All About Architecture by Pure Storage Blog In our conversations with business and IT leaders, one overarching theme comes up again and again: “How can your company help me achieve my tactical and strategic IT goals, without straining my budget and resources?” The result is the antithesis of IT agility.
With capacity on demand and integrated management across hybrid-cloud landscapes, FlashStack for AI reduces the complexity associated with setting up an AI environment and simplifies expansion of your AI infrastructure as your needs grow. New hardware requirements can be daunting to integrate and costly to deploy and manage.
But when it comes to powering modern applications, the technologies of the past just don’t cut it. Legacy file storage systems, built on technology from 20 years ago, lock customers into archaic, rigid architecture they can’t easily change, even as application requirements evolve.
In Part I of this two-part blog , we outlined best practices to consider when building resilient applications in hybrid on-premises/cloud environments. In Part II, we’ll provide technical considerations related to architecture and patterns for resilience in AWS Cloud. Considerations on architecture and patterns.
While some use it within their applications for search and indexing, others use it for log analysis where they analyze application, infrastructure, or security logs to trace problems and find root causes to issues. In addition, malware may be within an enterprise’s firewalls for weeks before it is detected.
In addition, it can deliver upgrades that are 100% non-disruptively compliments of our Evergreen architecture to support future scale and upgrades. Every three to five years, customers must commonly repurchase entire storage capacities and retire their last generation of nodes. Learn more about our “better science.”
Complete overhauls of the storage infrastructure — the dreaded “forklift upgrade” — are required every few years to meet the growth of data and applications. This is due to the limited, rigid architecture legacy storage uses, which was never designed for upgradability—especially between storage generations.
Companies that believe they have a responsibility or regulatory obligation to reduce their carbon footprint are looking for solutions that give them more capacity to do so. Offer the scale and performance needed for the most innovative and demanding applications. At Pure, sustainability isn’t an attribute; it’s an architecture.
Pure Storage’s 48TB DirectFlash® Modules deliver more than 50% greater capacity than the largest commodity solid-state drives (SSDs), such as those that our competitors use. . FlashBlade capacity has increased by more than 100% CAGR since its introduction six years ago. And, We’re Just Getting Started.
Dont Miss Our Demos and Expert Speaking Session Stop by to see demonstrations showcasing how Pure Storage has overcome the performance limitations previously set on HPC on AI workloads and learn about our new validated reference architectures that can fast-track your AI projects.
To maximize ROI and minimize disruption to business, a cloud migration approach that preserves applicationarchitecture with a consumption-based pricing model is the ideal approach. This combined flexibility and mobility of licensing de-risks this migration or hybrid cloud architecture rebalances.
Using a backup and restore strategy will safeguard applications and data against large-scale events as a cost-effective solution, but will result in longer downtimes and greater loss of data in the event of a disaster as compared to other strategies as shown in Figure 1. Architecture overview. Looking for more architecture content?
Whether you’re a CIO tasked with managing complex resources; part of the DevOps team that’s leading cultural change; or an application architect specifying compute, storage, and networking requirements; you’re putting data at the center of your business. . And when it’s time to upgrade, add capacity virtually. . Next Steps.
Simplicity Delivered through a True Services Experience Imagine a world where a storage administrator can deliver storage based solely on capacity, protocol, and performance. Evergreen//One, Optimized for AI Projecting future storage capacity needs for AI workloads can be nearly impossible. There’s a better way.
With capacity on demand and integrated management across hybrid-cloud landscapes, FlashStack for AI reduces the complexity associated with setting up an AI environment and simplifies expansion of your AI infrastructure as your needs grow. New hardware requirements can be daunting to integrate and costly to deploy and manage.
With an ever-increasing dependency on data for all business functions and decision-making, the need for highly available application and database architectures has never been more critical. . Alternatively, shut down application servers and stop remote database access. . Re-enable full access to the database and application.
AI and Enterprise IT: How to Embrace Change without Disruption by Pure Storage Blog AI will be disruptive to enterprises, but how will it be disruptive to the enterprise IT architectures that support them? That’s in part because the AI application lifecycle is more iterative than traditional enterprise applications.
With regards to calculating efficiency, “TiB” means the amount of the reserve commitment plus the 25% buffer deployed with the system, or the total estimated effective used capacity for the applicable systems (whichever is greater). . Actual W/TiB used will be lower as typical customers achieve 5:1 data reduction. . Performance.
From 2012 to 2019, AFAs have risen in popularity and now drive approximately 80% or more of all storage shipments for performant application environments. are needed to build a system to meet any given performance and capacity requirements. HDDs have essentially been left in the magnetic dust. Next, let’s look at DRAM. form factor.
Instead, enterprises need to prepare for the inevitable — adopting a cyber recovery-focused approach that emphasizes high speed recovery with minimal application and workload disruption. Infinidat’s primary storage portfolio is made up of InfiniBox, which offers high-capacity, performance capabilities and resilient storage architecture.
Today, that same FlashArray from 2014 has 10 times its original storage capacity in just three rack units. FlashArray//E operates with the same unified block and file architecture as FlashArray to streamline management and operations and is also a perfect complement to our FlashBlade ® family providing unified file and object.
The Pure Storage Unified App allows you to visualize your Pure storage inventory, monitor capacity, and audit usage. Many organizations that use FlashArray and/or FlashBlade to host their critical applications also use Splunk for monitoring. Figure 3: Architecture of the unified technical add-on and application for Splunk.
A recent Gartner reports reveals that by 2025, more than 70% of corporate, enterprise-grade storage capacity will be deployed as consumption-based offerings—up from less than 40% in 2021. . Consumed capacity. SLAs are the legal agreements we make with our customers on measurable metrics like uptime, capacity, and performance.
This creates a Storage-as-Code experience for both your own IT team and your application owners. They care about arrays, networking, and other physical configuration, and they don’t directly own applications that consume storage. They are application owners/operators who are focused on business value. Let’s get started!
In the cloud, everything is thick provisioned and you pay separately for capacity and performance. When you deploy mission-critical applications, you must ensure that your applications and data are resilient to single points of failure. How to Gain Portability and Visibility for Multicloud Success.
In the past, it was sufficient to bring order to the randomness of enterprise data collection through applications of technology resources (databases and storage devices) that were aimed primarily at organizing, storing, indexing, and managing enterprise information assets for single purposes or single business units.
The better option is disaggregated scale-out storage architectures that allow for more efficient sharing of purchased storage capacity across different servers, including enterprise storage management capabilities that drive higher availability and increased efficiencies. But not just any storage will do.
AI and Enterprise IT: How to Embrace Change without Disruption by Pure Storage Blog AI will be disruptive to enterprises, but how will it be disruptive to the enterprise IT architectures that support them? That’s in part because the AI application lifecycle is more iterative than traditional enterprise applications.
Design deficiencies can lead to reliability risk, reduced capacity, and malfunctioning. Data center costs from application infrastructures that still run on legacy storage. This process generates a massive amount of files during different phases of the workflow, and these files require high-performance and high-capacity data storage.
Being able to migrate, manage, protect, and recover data and applications to and in the cloud using purpose-built cloud technologies is the key to successful cloud adoption and digital transformation. Using AWS as a DR site also saves costs, as you only pay for what you use with limitless burst capacity.
Leaders should focus on three areas of evaluation to help them determine what type of cloud storage and backup solution is best for their unique business needs and requirements: application support, cloud data lock-in, and speed and cost of access. Cloud storage and application support. Don’t get locked in with cloud storage.
We organize all of the trending information in your field so you don't have to. Join 25,000+ users and stay up to date on the latest articles your peers are reading.
You know about us, now we want to get to know you!
Let's personalize your content
Let's get even more personalized
We recognize your account from another site in our network, please click 'Send Email' below to continue with verifying your account and setting a password.
Let's personalize your content