Hybrid Cloud NAS Enablement

The advancements in scientific computing and healthcare are coming fast—from next generation sequencing onto precision medicine, “big data” and artificial intelligence. We’re embarking on a massive convergence of clinical analysis and information systems, and many are not prepared. With these advancements in technologies, comes higher demand for both compute and storage to degrees difficult to comprehend. An NCBI published study predicts that up to 40 exabytes of storage capacity will be needed by 2025 just to support the growth of sequenced human genomes.
Adapting to this exciting shift in science will require changes in the way we think about IT infrastructure. In this webinar, BioTeam’s Adam Kraut will discuss…

•How science changes faster than IT infrastructure, and what we can do to keep pace.
•Converged infrastructures and their impact on research productivity.
•How machine learning and microservices are changing the way we architect Cloud solutions.

In addition, you’ll hear how companies are already supporting HPC workloads in hybrid cloud environments to increase analytic throughput efficiently. These workloads supply adaptability to changing research needs, integration into existing resources, and scalability to support growing demand for both compute and storage capacity.

In this webinar, Avere Systems and Google Cloud explore the ways in which alternative asset managers are leveraging technology to drive improved profitability data without large capital investments in infrastructure.

Today’s hedge fund managers are consistently analyzing greater volumes of data, with more speed, from a plethora of sources, with the end ambition of generating more alpha. Balancing the growing risks associated with proprietary data, compliance and regulatory restrictions, while supplying top-level performance is a dilemma facing IT managers everywhere.

In this webinar we will discuss:

– The trends driving increased demand for analytics in the alternative asset management sphere
– Considerations for leveraging the cloud for short-term backtesting workloads
– Practical tips for overcoming potential obstacles of latency, data movement, and lock-in

The sixth year of Amazon RE:Invent is almost upon us (November 27 to December 1 in Las Vegas). In this webinar join Storage Switzerland, Avere Systems and SwiftStack for a storage professional’s guide to the event.


Learn about:
- The different tiers of the Amazon storage offering
- How to create hybrid cloud storage combining private and public offerings
- Learn how to interconnect multiple cloud providers

Howard Marks looks ahead at the storage trends rolling into IT Operations in the new year.

Today’s data center is a much more dynamic environment than ever before leaving IT organizations struggling to compete, and or integrate, with public cloud services with tools and hardware designed for the much more static datacenter of yesteryear. In this webinar long time industry observer Howard Marks will examine five of the trends that IT operators should pay attention to in the coming year.

Our discussion will focus on the promise, tools and challenges involved in moving to hybrid architectures that bridge private data centers and cloud resources to shift workloads, support data-intensive compute operations, manage unstructured data growth, build affordable archives, and prepare for disaster recovery. These technologies will consider macro-level trends as well as solving operational challenges that come with the growth of cloud.

Infrastructure architects, systems engineers, storage engineers, data strategists, HPC specialists and other enterprise IT professionals will learn:
- Current environment and challenges in building hybrid infrastructures that support traditional and object storage
- Five not-to-be-ignored trends ripe for adoption in 2018
- How compute and storage can mix in the new cloud-enabled world

For most federal agencies dealing with increased security threats, limiting machine-data collection is not an option. But faced with finite IT budgets, few agencies can continue to absorb the high costs of scaling high-end network attached storage (NAS) or moving to and expanding a block-based storage footprint. During this webcast, you’ll learn about more cost-effective solutions to support large-scale machine-data ingestion and fast data access for security analytics.

You’ll learn about:
- The common challenges organizations face when scaling security workflows

- Why a high-performance cache works to solve these issues

- How to integrate cloud into processing and storage for additional scalability and efficiencies

Having an agile, enterprise hybrid cloud platform that lets you leverage cloud compute, storage, or both and keep data where it makes the most sense—without lofty storage costs, latency, and security concerns.

In this webinar, you’ll learn how organizations with complex IT environments like the Cancer Center harness hybrid cloud environments to simplify data storage and management, and improve both security and performance. Find out how Avere and Amazon Web Services (AWS) provide hybrid cloud solutions that can eliminate roadblocks and open opportunities to more efficiently meet the needs of your users and customers.

Presenters:
Dirk Petersen, Scientific Computing Director, Cancer Research Center
Jeff Tabor, Sr. Director of Product Marketing, Avere Systems
Ian Scofield, Solutions Architect, Amazon Web Services

For most enterprises dealing with increased security threats, limiting machine data collection is not an option. But with finite IT budgets, few organizations can continue to absorb the high costs of scaling high-end Network Attached Storage (NAS) or moving to and expanding a block-based storage footprint. Join this webinar to discover options for more cost-effective solutions that enable large-scale machine data ingestion and fast data access for security analytics.

You’ll learn:
- The common challenges companies see when scaling security workflows
- Why a high-performance cache works to solve these issues
- How to integrate cloud into processing and storage for additional scalability and efficiencies

Presenters will build an actionable framework in just thirty minutes and then take questions.

Enterprises aren't the only organizations that can benefit from big data. Medium and large businesses can too. The challenge is, can these businesses build the same big data infrastructure enterprises do? The short answer is, they can't. But the secret is, they don’t have to.

In this webinar, join Storage Switzerland and Avere Systems as they show you how to shift large workload compute processing into the cloud in just 10 minutes. This quick onramp to unlimited cores can level the playing field and improve your ability to compete with the global giants.

While cloud computing and storage are where IT is going, it is important to get the most value out of your existing data center assets. Seamless integration between these assets and cloud resources is key to optimizing each to match agency needs. But, how difficult is it to build a hybrid cloud architecture? How do you maximize performance while keeping security and cost in check?

Ready to learn more? Please join Avere Systems, Google, and Carahsoft for a webcast as we explore how to approach integration between your existing architecture and Google Cloud Platform.

Attendees of this webcast will learn:
- Why and when to use Hybrid Cloud Architectures
- Advantages of using Google Compute Engine and Google Cloud Storage services to government agencies
- How to provide seamless integration between existing clients, network attached storage resources, and remote Google Cloud Platforms services

Next-generation sequencing (NGS) technology has brought an influx of large-scale data and ever-growing demands for compute, resulting in a challenge for those in science informatics. To overcome these issues, laboratories need to be able to support researchers while managing data and the infrastructure needed to deliver mission-critical results and ultimately, positive patient outcomes.

At the NGS Data Analysis and Informatics Conference in February, attendees spoke about these challenges at length. This webinar, built from content shared at the event, will review potential approaches to cost-effective data growth using cloud compute and storage. Moving genomics workloads to the cloud can provide scale and affordability, while optimizing investments in existing resources. Adding that ability to allow researchers to easily collaborate while reducing latencies to these resources is pertinent to usability.

In this webinar, you’ll learn how to:
- Increase computation potential
- Optimize your physical infrastructure
- Diagram common use cases to meet specific research goals
- Increase flexibility by limiting data gravity