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Tag Archives: transactions

Scaling and Modernizing .NET and Java: SQLFire Performance Test Blows Away Traditional RDBMS

We all know the devil is in the details when it comes to technology.

Yet, our recent vFabric SQLFire performance test (a benchmark from vFabric SQLFire Best Practices Guide) is certainly worth review if you need to scale a Java app, .NET app, or other legacy data source.

If you don’t know what vFabric SQLFire is, it is basically what happens when Apache Derby gets married to vFabric GemFire:

  • Apache Derby is used for its RDBMS components, JDBC driver, query engine, and network server.
  • The partitioning technology of GemFire is used to implement horizontal partitioning features of vFabric SQLFire.
  • vFabric SQLFire specifically enhances the Apache Derby components, such as the query engine, the SQL interface, data persistence, and data eviction, as well as adding additional components like SQL commands, stored procedures, system tables, functions, persistence disk stores, listeners, and locators, to operate a highly distributed and fault tolerant data management cluster.

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Big, Fast Data Opportunities in Mobile Applications

Mobile applications are one thing, but mobile apps WITH fast data requirements are another.

The combination of mobile apps and fast data requirements can cause major data scale issues. Whether you are trying to update an existing application or build a new application, mobile apps with personalization, pricing, location, or gaming functionality must consider data architecture differently from the outset.

The Fundamental Growth Characteristics of Mobile

It’s official, mobile applications now account for over 50% of the computing market. It crept up on us quickly, and it’s easy to forget that mobile growth is different than what we’ve seen before. Of course, most people in the mobile space know about the growth. You would have to be living in a country without internet, TV, or radio if you haven’t heard that mobile usage is growing tremendously along with mobile applications. But, let’s put this in perspective: AOL took 2.5 years to reach 50 million users and Angry Birds took 35 days. Yes, Angry Birds was a smash hit, but so was AOL.

An AT&T Senior EVP recently wrote, “Over the past five years, AT&T’s wireless data traffic has grown 20,000%. The growth is now primarily driven by smartphones.” In fact, many say that mobile use will cause a spectrum deficit in the U.S. According to the Telegraph, smartphones are mostly used for internet (24 minutes and 29 seconds per day) and social media (17 minutes and 29 seconds per day) while phone calls are ranked 5th (12 minutes and 6 seconds per day).  Similarly, mobile commerce is planned to rise from 1% of all e-commerce sales in 2010 to 7% in 2016 (i.e. from $3 billion to $31 billion in a 6 years period). Apps are also accounting for more minutes of usage. So, no wonder business groups are clamoring for mobile-centric programs and applications.

The bottom line is that mobile applications are growing data differently than traditional database applications.

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Cloud Diaries: Financial Services Company Saves 30-50% Capex & Automates 3000+ VM Deployment

Deploying an application automatically to over 1000 blades with 3000 to 5000 virtual machines is a big deal, particularly when a failed system can stop millions in daily revenue as is the case with large financial services company.

When you are an architect within a financial services company and responsible for such a massive infrastructure like this, your technology architecture decisions also cost millions of dollars.

VMware had the opportunity to open the “private diary” of a cloud architect responsible for such a system at one of the most well-known global financial services brands in the world. In our dialogue, we were able to better understand why and how they use VMware’s vCloud Suite and vFabric Application Management in their data center.

Here are the highlights:

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3 Key Stages to Evolve from Legacy Databases to a Modern Cloud Data Grid

How do you plan a roadmap for moving from a legacy data architecture to a cloud-enabled data grid? In this article, we will offer a pragmatic, three-stage approach. At SpringOne-2012, the “Effective design patterns with NewSQL” session (see presentation embedded below) generated a lot of interest. (Thank you to everyone who joined us!) Jags Ramnarayan and I discussed problems with legacy RDBMS systems, NewSQL driving principles, SQLFire architecture, application design patterns as well as data consistency and reliability.

We went deep into vFabric SQLFire which is a pragmatic solution that addresses these data challenges:

  • How do I architect my data tier for very high concurrent workloads?
  • How do I achieve predictability both for data access response time and availability?
  • How do I distribute data efficiently and real time to multiple data centers (and to external clouds)? 
  • How do I process these large quantities of data in an efficient manner to allow for better real-time decision-making? 

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NanoTrader: Now The SpringTrader Reference Architecture

What is SpringTrader?

Back in August, we provided a sneak peak at NanoTrader, VMware’s vFabric Reference Architecture.  It was referenced in several posts and then featured in a session at SpringOne recently.  The application has now been named SpringTrader, and we wanted to a) share more information about the SpringTrader app including some updated architecture graphics, b) provide a new tool (a version you can log into online), and c) share the location of the Spring Trader bits for download.

If you haven’t heard, the SpringTrader reference architecture is used to help Java-based application architects, developers, infrastructure, and operations teams advance their application roadmaps and provide reusable patterns.  Some might also consider how vFabric Application Director can be used with the SpringTrader app to enable continuous deployment or automatically provision and scale the app in a completely virtual data center (i.e. a software defined data center). As well, vFabric Application Performance Manager can be used to monitor the entire stack and trigger automated scaling events like adding a new JVM and tc Server to the SpringTrader app’s production environment.
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