Just like we saw in the dot-com boom of the 90s and the web 2.0 boom of the 2000s, the big data trend will also lead companies to make some really bad assumptions and decisions.
Hadoop is certainly one major area of investment for companies to use to solve big data needs. Companies like Facebook that have famously dealt well with large data volumes have publicly touted their successes with Hadoop, so its natural that companies approaching big data first look to the successes of others. A really smart MIT computer science grad once told me, “when all you have is a hammer, everything looks like a nail.” This functional fixedness is the cognitive bias to avoid with the hype surrounding Hadoop. Hadoop is a multi-dimensional solution that can be deployed and used in different way. Let’s look at some of the most common pre-concieved notions about Hadoop and big data that companies should know before committing to a Hadoop project: Continue reading →
Modern companies and IT organizations have many applications, both internal and customer facing. With these many applications your users are faced with the challenge of not only managing multiple sets of credentials, but are also forced to login to each and every individual application separately. This creates a bad experience for your users.
To improve user experience, IT created a concept called Single Sign On (SSO). The idea was users could sign on once, and the SSO software would automatically authenticate them for all their applications. This not only helped the user experience, but also helped IT by cutting down on the number of ‘forgot password’ tickets opened and when users left the organization, it made de-authenticating them really easy. The idea is great, but in practice it frequently stopped short at authentication. Continue reading →
Universally, applications are faster, deal with large data sets, and provide more compelling user experiences than ever before.
Competition is steep.
As a result, competitive organizations demand that IT leaders speed the rate of new application innovation and development. IT must rise to the challenge or face competitive threats, missed business opportunities, and lose momentum within their user base. In short, IT leaders and providers that do not accelerate will face a backlash from executives.
In order to meet these challenges, IT is renovating application architectures to thrive in the cloud. This is an organization-wide change involving people redirection, process redesign, and technology exploitation. For many, there is a steep learning curve. Continue reading →
Two of the hottest topics in technology today are “mobile” and “cloud.” They are at the top of most CTOs list of objectives, yet they also seem to be the ones most shrouded in mystery. So where do you start?
This past year, at VMworld 2012 San Francisco and Barcelona, I ran a session where we built a complete database-backed web application from scratch using the SpringSource Tool Suite and the Grails framework for Java. Then, we published the application to Cloud Foundry—our open Platform-as-a-Service offering. Finally, we proceeded to build a mobile application that consumed the data from the web application built earlier. I broke a cardinal rule by doing the entire session live, but it all went off without a hitch and audience participation with the application was an absolute blast. By the time we were done, we had built two applications from the ground up, and folks had an application that looked, smelled, and tasted like a native mobile application running on their phones. And, we did all of this in less than one hour! Continue reading →
We are very fortunate to post an interview with Shay Banon, the founder of elasticsearch. Elasticsearch is technology that is very popular among some of the coolest companies on the web today, including SoundCloud, StumbleUpon, Mozilla and Klout. These companies use elasticsearch to help them deploy powerful search capabilities in their applications that are easy to set up, scalable and built for the cloud. In this interview, we get to learn all kinds of cool things:
How Shay got into search
How he came up with the idea for elasticsearch
Why elastic search is different than other OSS search projects
Running elasticsearch on virtualized infrastructure
Without further ado, here is the interview.
Q1. So, how did you end up getting into search?
About 10 years ago, I moved from Israel to London because my wife was going to study to be a chef at the Cordon Bleu. I had no job. I was in a new country. I was unemployed. So, I started to get into the latest, cool, new technologies. Continue reading →
Several technologies exist for recompiling and executing mainframe applications onto commodity servers in the cloud. Vendors offer emulation platforms to run COBOL, VSAM, ISAM, CICS 3270 green screen, among others as-is within a Linux environment. Once “shifted” to a commodity server platform, the application can be placed into virtualized workloads, such as Linux running on vSphere, and managed from within a cloud, such as vCloud. This approach may be the least risky and lowest cost option. Its primary advantage is that it significantly reduces costs by moving from an expensive, proprietary mainframe environment to a commodity-based processing environment. However, it brings little value to the modernized application itself as you are still operating within a mainframe context, maintaining brittle application code and relying on mainframe skill sets and experience. This may be the best modernization strategy if your primary goal is to reduce capital expenditures and short-term TCO. Continue reading →
So, why haven’t more IT organizations embarked upon modernization efforts?
Well, modernizing applications, especially mainframe applications, comes with a perceived set of formidable challenges. As part of our “Mission Possible 2013” series, let’s take a closer look at the six main reasons companies shy away from even approaching a mainframe modernization effort. (Note: The next blog will explain why these challenges are not so formidable, and I’ll offer proven strategies for overcoming each one.)
1. Interruptions to Business
Mainframes are highly reliable, available, and serviceable so they tend to run your business and mission-critical apps. In addition, mainframe apps are very mature because they’ve been in production for years, if not decades. IT organizations fear pulling the plug on a mainframe app without extensively testing the new app (perhaps for months or years) because it may cause catastrophic issues to the business. To decrease the possibility of service interruptions, IT teams can do two things—utilize modern software testing methods or run the legacy system in parallel with the modernized app for some time. But why risk testing an entire mission critical application wholesale? In the next blog, I’ll describe incremental approaches for modernizing mainframe apps.
Today, we are pleased to have a guest blogger from a VMware customer share with us their story of how RabbitMQ transformed their business by “solving some really interesting problems”. The following is sent courtesy of Pablo Molnar of MercadoLibre:
If you haven’t heard of MercadoLibre (NASDAQ: MELI), we are the largest e-commerce ecosystem in Latin America. Our website offers a wide range of services to sellers and buyers throughout the region including marketplace, payments, advertising, and e-building solutions. Our products are present in over 14 countries, and the company is ranked as 8th largest online retailer in the world. We were also on Fortune’s list of the fastest growing companies in 2012, and we use RabbitMQ to solve some interesting problems.
About Our Technology Stack and How RabbitMQ Helps
In terms of technology infrastructure, MercadoLibre is fully committed to the open source development model. Most of our apps are primarily written in Grails, Groovy, and NodeJS, but we don’t stick to any language or framework. We entrust tool selection responsibilities to the Software Engineers on each team. Almost all applications are hosted by our in-house cloud computing provisioning system and implemented via OpenStack with more than +7000 virtual instances at the moment. Also, we have successfully launched applications using emerging storage solutions like Redis and MongoDB. With an average of 20 million requests per minute and 4GB bandwidth per second, our traffic management layer is crucial and most of the routing rules job is done by Nginx proxy servers. Our labs department includes a huge Apache Hadoop cluster to perform complex analytical queries, and we are experimenting with real-time data processing using Apache Kafka and Storm.
Next year is going to be even bigger with the Pivotal Initiative where several of the products covered on this blog will be following the new venture. This is still in the planning stages, so we will be expecting to share with you the plans for our products alongside the formal communications from each of the companies involved. (Sorry — no extra information is available right now)
This post is meant to augment the knowledge base article, KB 2033940, published back in August.
Planning the Upgrade
We know platform changes can make an upgrade more difficult and certainly raise eyebrows. So, we’ve taken measures to help make the migration as seamless and simple as possible. So far, the cases we’ve seen take about an hour. As with any data migration, the greater the volume of database records, the longer it can take. Continue reading →
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