The vFabric team is headed to SpringOne 2GX 2012 next week – from October 15-18 in Washington, DC. This is set to be a great event to learn the latest on Spring with over 100 sessions covering a wide variety of topics. For those of you looking to learn more about how vFabric is the best place to run Spring applications, here are the highlights you won’t want to miss:
Register for Session APP-CAP1250 Fast Data Meets Big Data: Click Here
Follow all vFabric updates at VMworld on Twitter: Click Here
Big Data allows you to find opportunities you didn’t know you had.
Fast Data allows you to respond to opportunities before they’re gone.
The combination of Big Data and Fast Data working together may enable new business models you never could have achieved before.
To elaborate, the idea here is to analyze the historical “Big Data” and look for trends or patterns that have lead to good results in the past. Then you try to model those patterns in such a way that you can detect them as they are unfolding in real-time based on incoming Fast Data. If we could analyze large amounts historical as well as recent data quickly enough, we have an opportunity to influence the behaviors of the actors real-time, and have a better chance to steer them toward the patterns that produce results.
If you are attending GigaOM Structure in San Francisco, VMware’s CTO and the VP of Emerging Products are both speaking Here are summaries:
Steve Herrod, CTO and SVP of R&D – Where Big Data Meets the Cloud
EMC’s reasoning for the acquisition of VMware has always been questioned. Was it because of the impact virtualization was having on storage, or was it something else? In this conversation with VMware’s technology leader, we will get a better understanding of the real impact of big data when it meets cloud computing. Some deep insights from customer deployments combined with industry announcements make this a must-attend panel.
Chris Keene, VP of Emerging Products at VMware and Tom Roloff, COO at EMC – Building Killer Apps with Big Data
Big data fast data architecture gives IT an opportunity to change the competitive landscape by helping companies make faster and better decisions. This architecture combines in-memory data management with business intelligence to develop big data applications. Join Chris Keene, VP Emerging Products and gain insight into the transformative value of big data fast data.
>> To get demonstrations, learn more about vFabric, meet experts, or even if you just want giveaways, come by the booth.
Despite what people tell you, managing on-line applications on a cloud-scale is hard. One of the main challenges is related to the fact that as an application gets more and more popular, the underlining database often becomes the bottleneck.
When demand spikes, organizations are comfortable scaling their Web and App Server layers. However, as they increase the number of application instances to accommodate the growing demand, their data layer is unable to keep up.
We all know that a solution’s overall performance is only as good as it’s lowest common denominator. Increasingly, the lowest common denominator of today’s on-line applications is the database.
A Customer Example
Recently, a large retail customer spoke to us about their experiences in dealing with demand spikes during holidays. Their virtualized infrastructure was more than capable of scaling horizontally to address the growing demand. However, their underlying, traditional database could not handle the large load increases. The database started to experience deadlocks, connection timeouts, and various other problems.
Traditional databases should not be used to do things for which they were never designed; like supporting thousands of concurrent users.
The main challenge of managing Web applications on a Cloud-scale is performance. Disk-based database architectures are fine when you have a small number of users, but they lack the facilities for horizontal scaling, and, are unable to address the variable access patterns.
In contrast, SQLFire, an in-memory database from VMware, was designed specifically for these kinds of challenges. With its speed and low latency, SQLFire delivers dynamic scalability and high performance for modern, data-intensive applications, all through a familiar SQL interface.
In this post, I will demonstrate one of the ways SQLFire can increase throughput and decrease latency of your current Web applications.