The Insider's Guide to Next-Generation BPM
By Dr. John Busch, CEO, President and Co-Founder, Schooner Information Technology , 09/14/2009
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Explosive datacenter workloads make the prospect of long-term profitability a challenge for Web-based organizations. Yet, as with any business, profitability is a must.
As key contributors to Web 2.0 and cloud computing enterprise success, IT and datacenter managers today are finding it difficult to meet the accelerating demands for performance, capacity, scalability and reliability, while at the same time meeting budgets, maintaining service level agreements and driving green initiatives.
New component and middleware technologies -— including multi-core processors, low-latency interconnect, flash memory, and highly optimized data access and caching technologies -— may hold the key for reversing this trend. But without optimal integration and implementation, these technologies fail to deliver the benefits that datacenter managers and the business demand. Because Web 2.0 and cloud computing datacenter managers must focus on their core businesses, they need highly integrated, enterprise-ready appliances that exploit these advanced technologies to fundamentally solve the costly challenges.
Datacenter trends and challenges
With the explosive growth of Web 2.0, software-as-a-service (SaaS), cloud computing and other emerging Web-based applications, datacenter workloads have increased exponentially. While the business opportunities these applications create are substantial, they place daunting demands on the datacenter. Challenges include:
1. Unprecedented data growth. Recent studies indicate that the amount of data managed by today's datacenters will quadruple every 18 months. To complicate matters, online users are getting much more sophisticated, and response time expectations are at an all time high. But with the large increases in data volume, user interaction times are actually increasing for many datacenters.
2. Severe capacity constraints. Datacenter managers are struggling to manage huge increases in rack, power and network utilization. They are constrained by limited datacenter power and space and are seeking cost-effective ways to expand capacity without increasing the datacenter footprint.
3. Increasing data complexity. Organizations have too much data to process in a time-sensitive and consistent manner. Information management requires extensive data partitioning and application level mapping, caching, replication/recovery and load balancing. Existing data management tools are complex and existing commodity, non-application specific hardware is difficult to use and manage.
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Date:Apr 07, 2010
Time:13:00 PM
ET- (17:00 GMT)
Date:Apr 07, 2010
Time:12:00 PM
ET- (16:00 GMT)
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