Welcome!

Cloud Event Processing - Analyze, Sense, Respond

Colin Clark

Subscribe to Colin Clark: eMailAlertsEmail Alerts
Get Colin Clark via: homepageHomepage mobileMobile rssRSS facebookFacebook twitterTwitter linkedinLinkedIn


Top Stories by Colin Clark

I’ve spent the last couple of days, after absorbing the Sybase acquisition of Aleri’s assets, looking at the various CEP players websites for evidence of cloud (grid name du jour) deployment. I haven’t found anything worth mentioning.  That’s not to say that I might have missed something.  But my guess is that with all the economic woes lately, that the CEP vendors have either chosen to ignore or just simply aren’t aware that the rest of the world is actually solving real problems with cloud deployments. Which is interesting. It’s interesting because one of the pioneers in CEP & database space, Mike Stonebreaker (love that name), has gone on to work in stealth mode (it says stealth on their web site anyway) over at VoltDB. VoltDB is based upon work done on HStore and would appear, on the surface anyway, to incorporate all of the things we’d expect in an OTP environ... (more)

Cloud Event Processing – Where For Art Thou oh CEP?

In a recent post, Louis Lovas of Progress Apama explains why the first generation CEP vendors don’t have many, if any, cloud deployments.  Here’s a quote from his post: Typical of event processing applications that do things are those in Capital Markets like algorthmic trading, pricing and market making. These applications perform some business function, often critcal in nature in their own right. Save connectivity to data sources and destinations, they are the key ingredient or the only ingredient to a business process.  In the algo world CEP systems tap into the firehose of da... (more)

Building a Back Testing Platform for Algorithmic Trading

On this continuing series, I am examining thoughts and specific implementation details around building a back-testing platform for algo trading.  Eventually, we’ll see where complex event processing plays and how to implement it. Appendix to Part One – The Data Format Rather than looking at various database solutions first and then trying to define the problem in terms of those solutions, let’s first examine what market data looks like.  In its most simple form, market data looks like this (there’s usually a little more, but this is fine for our purposes): Date: The date of the ... (more)

My Top Five Cloud Predictions for 2011: Colin Clark

Every year, I like to decompress a bit and take a break. Usually, I like to go scuba diving – the dive sites I like are usually far removed from email, Twitter, Facebook, etc. and it gives me a chance to actually unplug, defrag, and think a bit. This year, the family went to Grand Cayman to experience some of the world’s best diving. Within Grand Cayman is Hell, a small township dedicated to tourism and aptly named given the attached photo. We visited Hell in between dives, and rather than make my ex-wife room reservations or send out postcards, I thought I’d amplify a few predic... (more)

Erlang, RabbitMQ, & Redis

VMWare has been on a buying spree lately. In the last month, they’ve announced both Redis and RabbitMQ. Here’s VMware’s take on Redis, and spring source’s on RabbitMQ.  RabbitMQ is built with Erlang. Much Rejoicing in the Village We use both of these technologies at Cloud Event Processing.  And we love Erlang too.  VMware’s acquisition of these technologies not only validates our decisions, which we are very selfishly pleased about, but also sends an interesting message. The Message Please Everyone’s busy abstracting resources in the cloud – making resources like compute, stora... (more)