While personalized medicine is shifting from experimental to mainstream, many health organizations are realizing that not only is the IT infrastructure to support the necessary components lacking, but that they look very different than what typically supports a patient-centered health system. In a recent Healthcare IT News article covering a Black Book Market Research Survey, precision medicine was described by respondents as “very hard to implement.” The data required looks very different than what typically supports EHR-driven and connected systems, as it depends on “fine-toothed data that most hospitals simply don’t have.”
Last year was a big year for the cloud. The provider landscape became more competitive in 2016 with the likes of Google Cloud Platform, IBM, Microsoft Azure and Oracle stepping up to AWS’s dominance to secure a position on the field of viable contenders for enterprise cloud business.
Companies have many options for object storage these days, but the list narrows when this object storage needs to fit in enterprise-scale IT. While it may seem the market is overcrowded, many still struggle with finding the right fit.
As an early cloud solution vendor with a foundation in NAS, Avere has spent some time talking to customers about object storage strategies. While small and medium-sized businesses are finding some compelling option for allow shifting to object storage, those with more demanding and complex IT needs are struggling to make decisions, are finding themselves in situations where expectations are falling short, or simply are waiting for the dust to settle and a more palatable solution to present itself.
The pharmaceutical and drug discovery industry brings life saving medicines that can dramatically improve patient care. While globalization and advances in science secure the industry’s future for decades to come, it is not without hurdles that threaten to slow advancements. Recently, changes in regulations coupled with new healthcare payer models challenge past business models. But, perhaps one of the more controllable threats is taking place in within the company’s walls.
According to a PWC report, From vision to decision Pharma 2020, productivity has flatlined for some time, yet processes in research and development internally have been slow to change. Pertaining to development, the macroenvironment is positive which should be a catalyst for improvements. Processing power has become more plentiful and affordable, advances in genomics has made new research possible, and computer technology has enabled more data—from analysis to patient outcomes—to be efficiently used to test, collaborate, and discover more.
Financial services workloads require massive compute and storage resources. Finance IT organizations are faced with finding solutions that meet this demand by providing simpler, faster, and more economical access to both enterprise data centers and, more recently, cloud-based infrastructures. When built, analysts can run more simulations in less time, store more market data at reduced total cost of ownership (TCO), and run larger, more complex risk and backtesting models with the compute scale needed to return results within demanding timeframes.
Clients in this space are finding Avere file system and caching technology a perfect fit to accomplish these goals. In our recently released white paper, Winning Three Ways: Avere Hybrid Cloud NAS for Financial Use Cases, we dive into three use cases heating up in Wall Street technology.
Cloud computing is gaining traction as a primary track for cloud adoption. Once people start using the compute cloud, one of the most challenging areas is managing the costs around storage of the data being used by the compute resources. To bring understanding, here’s a crash course about managing and reducing cloud computing costs.
I want to preface this topic by stating that cost management of cloud compute services is complicated. You have your costs for the compute, block storage in compute, possibly cloud storage, and/or cloud-assistive software like Avere’s. For today, we’re going to focus on understanding how charges are accrued and billed for persistent block storage (elastic block storage) necessary for cloud computing.
When it comes to backup practices, snapshots are much loved due to the ease of restoring data quickly to a past form. In the desktop world, Apple brought snapshot technology to the home user with its Time Machine application. In the world of enterprise storage, snapshots serve the same purpose, but at a much larger scale with much larger datasets. Using snapshots, IT can bring back data quickly in the event of accidental deletion or data corruption. These snapshots enhance, but do not replace, more complete backup processes.
While Apple has made significant headway in getting people to switch from a PC to a Mac, many people still have more than one machine running each OS or are running programs for both operating systems on a Mac. While things looked great on the other side, it was simply too difficult or costly to make a complete switch, or necessary applications would not move with you. Many of us live in “hybrid” environment matching the operating system to the task at hand.
The adoption of cloud compute and storage looks like it is rolling down a similar path. Like Apple’s market share, cloud usage will continue to grow at the same time as the entire market continues to grow. According to the Cisco Global Cloud Index, more than three quarters of workloads will be processed by cloud data centers by 2018, while overall data center workloads will nearly double in the same time frame.
When I was invited to present at the online Cloud Storage Summit, I knew immediately where I would take my presentation. The industry is bombarded with information on cloud adoption, but a limited amount speaks directly to enterprise IT.
In this presentation, I hope to supplement the limited resources with technical content directed at what is needed to integrate cloud into these complex environments. We’ll be talking specifically about enterprise infrastructures and what a hybrid cloud environment should deliver in order to operate in hybrid system architecture. This presentation is going to be about best practices – including the requirements and the pros and cons of available options. I promise and warn - we're going to dive a bit deeper than most!
Corporate Cloud Appeal
The world of data storage in life-science related organizations – specifically those that require the sequencing, analysis, and distribution of genetic data – has been one that has migrated in recent years from stacks of drives under a lab hood to more “enterprise” storage solutions from vendors like EMC Isilon, NetApp, and HDS BlueArc. The move has been driven primarily by capacity needs. However, as we hear in this comprehensive blog post by self-proclaimed infrastructure geek, Chris Dagdigian of BioTeam, as instruments for science become less expensive and sequencing becomes a commodity, the rate of capacity expansion to keep pace with data growth is simply not sustainable.