How to Tackle Data and Application Growth with Pure Storage & Veeam

Modernise your current legacy protection for rapid recovery and data reuse, seamlessly between private and public clouds for your customers.

Learn how to benefit from the economies of cloud by leveraging AWS as the destination archive tier, all while maintaining that single namespace and global deduplication pool.

Key technical lessons:

- Modernise your legacy protection without the pain of a forklift solution.

- Meet the emerging expectations of data availability and reusability by taking advantage of the cloud as an archive tier.

- Move away from the cold, static tape tier to the more reliable, durable cloud tier.

This webinar will cover a broad set of practical capabilities needed to be successful implementing or optimizing a cloud 1st strategy. We will not only tell, but also demonstrate Pure's robust data mobility framework, infra-as-code and our new cloud scale data protection technology combing both flash and cloud (F2F2C).

The session will address VMware but also several CNCF - https://www.cncf.io/ - technologies that will help organizations build applications that can be written once and run anywhere.

As enterprises evolve and modernize their database platforms, the need for resiliency and recoverability becomes ever more critical. Join us as we turbo-charge critical database architectures such as Microsoft SQL Server, Oracle Database, and MySQL with the unprecedented throughput and test/dev capabilities of Pure Storage FlashBlade.

Сегодня данные — самый ценный ресурс бизнеса, но их эффективному использованию зачастую
препятствуют морально устаревшие, сложные, медлительные СХД. Ускорить получение
информации и упростить инфраструктуру призвана FlashBlade — горизонтально масштабируемая
СХД с лучшими в отрасли характеристиками.
В программе вебинара:
- Новый взгляд на СХД: FlashBlade — современная система, специально созданная для
обработки большого количества параллельных нагрузок.
- Первое горизонтально масштабируемое решение для хранения данных, сочетающее в
себе большую емкость, скорость и простоту.
- Передовые технологии: блейды, Purity//FB, коммутатор Elastic Fabric и др.
- Отличная замена множества устаревших СХД: непревзойденная производительность в
малом форм-факторе, 10-кратное сокращение расходов на электричество, охлаждение и
размещение оборудования.
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Veeam® and Pure Storage work together to drive application availability and application performance. FlashArray is integrated with Veeam’s Universal Storage API to provide seamless snapshot management.

"Legacy, complex disk-to-disk-to-tape backup architectures can no longer keep up with the constant flow of data that businesses must protect today. Data backup is no longer simply about storing data: it’s about flexible protection, fast restores – and above all making your valuable data available for other uses, such as test/dev and analytics, that drive your business’ value.

Introducing, Flash-to-Flash-to-Cloud (F2F2C) a revolutionary new solution that is designed for the scale and use cases of modern data backup and protection. Together, with Pure Storage and Veeam Backup & Replication this architecture provides significant improvements in recovery times, enabling organizations to meet stringent SLAs, RPOs, and RTOs to keep the business operational.

Watch this webinar and learn more about how F2F2C leverages on-premises flash for efficient, portable snapshots and rapid recovery, while also employing cost-effective, highly durable, off-site, and self-protected public cloud for long term retention."

NAS data is growing at a rapid rate, but many customers are facing challenges in wrangling this data with costly, slow, legacy solutions. Rubrik and Pure Storage have developed a compelling solution to help protect your NAS data at scale. Rubrik NAS Direct Archive to Pure FlashBlade allows our customers to manage, protect, and store their NAS data in a cost-effective, scalable and high-performing environment.

In this on-demand webinar, experts from Rubrik and Pure Storage present a technical deep dive on how to leverage Rubrik for NAS Direct Archive to Pure FlashBlade and the performance implications of this joint solution.

Join this on-demand webinar to learn how to:

Maximize backup and restore performance for any NAS host while reducing costs

Achieve fast search and near-zero RTO with cataloged metadata

Modernize your data center with Rubrik and Pure FlashBlade by simplifying management and providing the world's first datahub.

Speakers:
Adam Fox, Sr. Solutions Architect, Rubrik
David Huskisson, Rapid Restore Solutions Manager, Pure Storage

Join experts from Nvidia and Pure Storage for this webinar in which we explore one company’s IT journey, sharing their best practices and insights.

While it is still widely used, Disk to Disk to Tape (2D2T) architectures have long been optimized for backup performance, with little regard for the true goal – recover data when and where it’s needed- within business Service Level Agreements (SLA’s).

Tapes may relieve compliance concerns, but they lock data away, stranding any value residing in that data.

Learn how data protection is about much more than just backup and how Pure Storage with the industry’s first Flash-to-Flash-to- Cloud (F2F2C) Object Engine solution taps the power of flash and cloud to modernize data protection. With Object Engine organizations can deploy a cloud-native solution with scale-out rapid recovery on premises, benefit from cloud economics and reuse data with cloud apps such as analytics and test/dev.

During this technical webcast you will find out how Object Engine can help your organization to rapidly restore mission critical data exactly where it’s needed – and within an SLA.

Learn how Pure Storage engineering manages streaming 190B log events per day and makes use of that deluge of data in our continuous integration (CI) pipeline. Our test infrastructure runs over 70,000 tests per day creating a large triage problem that would require at least 20 triage engineers. Instead, Spark’s flexible computing platform allows us to write a single application for both streaming and batch jobs to understand the state of our CI pipeline for our team of 3 triage engineers. Using encoded patterns, Spark indexes log data for real-time reporting (Streaming), uses Machine Learning for performance modeling and prediction (Batch job), and finds previous matches for newly encoded patterns (Batch job).

Resource allocation in this mixed environment can be challenging; a containerized Spark cluster deployment, and disaggregated compute and storage layers allow us to programmatically shift compute resources between the streaming and batch applications.

This talk will go over design decisions to meet SLAs of streaming and batching in hardware, data layout, access patterns, and containers strategy. We will also go over the challenges, lessons learned, and best practices for this kind of setup.

The increasingly competitive climate within Financial Services means that enhancing business outcomes by leveraging AI is essential. Data has never been more important to business success and a key aspect to optimising its value is in conjunction with AI.

In this session we will discuss the areas in which Financial Services are looking to leverage their data together with AI and some of the considerations for successful implementation of an AI infrastructure that accelerates time to value for these projects.

"Pure Storage hat mit dem Data Hub eine neue Klasse von Speicherarchitektur definiert, die nach vier Prinzipien für Modern Analytics entwickelt wurde. Es handelt sich um eine datenzentrierte Architektur für Backup und Data Warehouse, Data Lake, Streaming Data Analytics und KI.
 
Für Kunden, die ihre Daten über Anwendungen hinweg vereinheitlichen und teilen möchten, nutzt Data Hub die wichtigsten Stärken jedes dieser vier Datensilos, einzigartige Funktionen, die sie für ihre eigenen Aufgaben geeignet machen, und integriert sie in eine einzige einheitliche Plattform.
 
FlashBlade vereint alle Eigenschaften dieser Datensilos: hoher Durchsatz, natives Scale-Out, multidimensional performance und massiv parallele Architektur. "

Immer häufiger werden Arbeiten an Storage Arrays nicht mehr über ein GUI oder CLI erledigt, sondern werden von Workflows oder Runbooks angestoßen. Ebenso werden Arrays in immer mehr 3rd Party Tools für z.B. Monitoring oder Backup integriert. Durch die offene HTTP REST API können diese Arbeiten sehr einfach und schnell erledigt werden. In diesem Webinar zeigen wir am lebenden Beispiel wie man Pure Arrays mittels APIs verwaltet und welche Integrationen von Partner (z.B. VMware, Veeam, Docker, Microsoft, etc.) diese bereits nutzen. Heute sind python, PowerShell, Ansible, Puppet, OpenStack, etc. keine Exoten mehr sondern ein Bestandteil der modernen IT, um Infrastructure As Code umzusetzen.

"Die Einführung von Container nimmt rasant zu, aber die fehlende Unterstützung von persistentem Speicher und dessen Skalierbarkeit, um die Anforderungen und Geschwindigkeit von Containern zu erfüllen, scheint den Trend zu verlangsamen.
Mit dem Pure Service Orchestrator können Sie nun Storage- as- a- Service für Container liefern, um on-demand, microservicebasierende scale-out Applikationen aufzubauen und auszurollen, die die Anforderungen dynamischer, containerisierten Umgebungen erfüllen.
Mit Pure Storage können Sie somit in Ihrer eigenen Infrastruktur, on-premise, die Agilität erfahren und ausüben, die man so bisher nur von der Public Cloud kennt."

"Im ersten Teils dieses Webinars werden wir einen Architekturvergleich zum „standortübergreifenden synchronen Spiegel“ mit Blick auf die Verwendung von VMware vSphere beleuchten. Dabei gehen wir abgrenzend zu anderen Herstellern und Lösungen auf die Vorteile des Pure Storage ActiveCluster detailliert ein, um den automatischen transparenten Failover der ESXi Server in den einzelnen Szenarien zu würdigen.
Im zweiten Teil des Webinars geht es um VVOLs mit Pure. Was sind VVOLs, was machen VVOLs eigentlich und wie gehen wir mit VVOLs um. Eine kurze Darstellung, was sich VMware bei VVOLs gedacht hat, und warum wir die besten dafür sind."

The key battleground for automotive stakeholders over the next three years will be achieving the production of electric, connected and autonomous vehicles at scale. Learning how to keep graphics processing units (GPUs) fueled with data when training the next generation of deep learning architectures is critical.

As GPU technology continues to advance, the demand for faster data continues to grow. In this 60-minute webinar, Ramnath Sai Sagar, AI and DL Product Lead at Pure Storage, presents a new benchmark suite for evaluating and tuning input pipelines. He examines results with TensorFlow’s DataSets API on a DGX-1 ‘supercomputer’ with V100 GPUs, and provide guidance on key tuning parameters and diagnostic techniques for improving performance.

Information füllen die Entscheidungen, die wir jede Minute, jede Stunde und jeden Tag treffen, sowohl im persönlichen als auch im beruflichen Leben. Wir sind auf Daten angewiesen, um uns voranzubringen. Und während die Welt Fortschritte macht, ist diese Abhängigkeit immer komplexer geworden. Eine Datenzentrische Welt, ein sinnvoller Umgang mit künstlicher Intelligenz und Deep Learning, und mit Shared Accelerated Storage eine Basis um erfolgreich einen Erfolg daraus zu generieren.

Interested in learning about real-world AI use cases from a data scientist and founding engineer? That's exactly what we're covering in this exciting session featuring Joshua Robinson of Pure Storage. Tune in to discover:

- The top five lessons learned in making AI initiatives successful in real-world deployments
- How to navigate common pitfalls and challenges when deploying AI systems
- Compelling real-world examples of AI use cases for the enterprise
- and more!

Joshua Robinson is a Founding Engineer on the FlashBlade team at Pure Storage and is currently lead architect for advanced analytics and AI solutions. Prior to Pure, Joshua worked as a data scientist in the search infrastructure team at Google, focused on the data pipelines and machine-learning algorithms for selecting and crawling the Internet. Joshua graduated with a PhD in Electrical and Computer Engineering from Rice University in 2009 with a focus on machine learning and algorithms.

La reprise après incident - en particulier la récupération des données en cas d’urgence, ainsi que les coûts et la complexité associés - sont une des préoccupations principales de nombreuses directions informatiques.

Aujourd’hui, les organisations peuvent bénéficier d’un accompagnement de proximité et de solutions de continuité natives et sans surcoût privilégiant une approche synchrone active / active. En cas de panne sur un site, l'activité continue de façon transparente sur le 2nd site.



La panne de votre SI est une véritable hantise et vous souhaitez rompre avec la complexité et les coûts des reprises après incidents ? Vous souhaitez garantir une expérience utilisateur continue, même en cas de défaillance de l’un de vos systèmes ?

Rejoignez la discussion lors de notre webinar et posez vos questions à nos experts Pure Storage et AntemetA.