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Conversation with Steve Goldman of the CME Group on CEP as Enterprise Platform & StreamBase

Late in May, Mark Palmer, CEO of StreamBase, piqued the event processing community’s curiosity with this tweet: “Today I signed what I think is the most exciting CEP deal of 2009 - corporate selection by a household name…”. 

While many household names use Complex Event Processing products, the products are acquired solve a particular business problem, or perhaps, a handful of scenarios within a business unit.  In his tweet, Mark signaled an adoption pattern shift, from CEP as application enabler, to CEP as enterprise technology platform. 

For the event processing community -- vendors, researchers, early adopters and advocates -- this shift has been long overdue.  Of course, as a fact based community, we require a little more information than a 140-character tweet.

That information became public this week, as StreamBase announced that the “household name” is the CME Group:

“StreamBase today announced that CME Group, the world’s largest and most diverse derivatives exchange, has selected StreamBase Complex Event processing solution for enterprise-wide deployment.  After a comprehensive evaluation, CME Group chose StreamBase as its internal standard Complex Event Processing (CEP) platform, and will be initially deploying it for their options pricing applications.

“CME Group is one of the most demanding technology environments in the world, processing millions of orders a day in milliseconds, and disseminating market data in a reliable and low latency manner is critical to our customers,” said Steve Goldman, Director, Enterprise Architecture, CME Group.  “Their high-performance multi-threaded server and easy to use modeling tools met our requirements and will enable the exchange to quickly react to the ever changing needs of our customers.”

…As an international marketplace, CME Group brings buyers and sellers together on the CME Globex electronic trading platform and on trading floors in Chicago and New York. By acting as the buyer to every seller and the seller to every buyer, CME Clearing virtually eliminates counterparty credit risk. CME Group offers the widest range of benchmark products available across all major asset classes, including futures and options based on interest rates, equity indexes, foreign exchange, energy, agricultural commodities, metals, and alternative investment products such as weather and real estate. More information can be found at www.cmegroup.com or via Twitter @cmegroup.”

Earlier this month, I had the opportunity to speak with Steve Goldman, Director of Enterprise Architecture at the CME Group, about event processing at the CME Group and their selection of StreamBase.   We had a great conversation that substantiated Mark’s proclamation “of the most exciting CEP deal of 2009”. 

One administrative note before I jump into the highlights from our conversation.  What follows are an edited and summarized version of my notes from the call.  In other words, these are not direct quotes. 

Business Scenarios

The CME Group’s first StreamBase use case is generating options settlement prices.  The daily settlement process involves complicated calculations based on a number of market data feeds.  For an idea of the complexity and product line variations, here are some details from the CME’s Daily Settlement Procedures (pdf):

“Equity Options: Exchange staff identifies “seed strikes” that include the at-the-money straddle and several out-of-the-money calls/puts. The midpoints of the bid/ask quotes in the seed strikes on Globex are used to create an implied volatility skew. The skew is adjusted based upon the underlying settlement price to automatically generate the out-of-the money settlement prices, and the in-the-money options are settled automatically, using the method referenced on page 4 of this document. For longer dated options for which no Globex data exists, market participants provide bid/ask data for the seed strikes. Adjustments may be made to incorporate relevant pit data.

Non-Treasury Interest Rate Options: Similar to the procedure used in equity options, settlements in the front year of expirations are generated based on the skew derived from taking the midpoint of the bid/ask quotes in Exchange-designated seed strikes from the pit and from Globex. The skew is adjusted based upon the underlying settlement price. The additional guidelines referenced on page 3 of this document are also utilized. All other contract months are settled by Exchange officials based upon input from market participants.

Agricultural Options: Market participants provide quotes in Exchange-designated seed strikes which are used to generate the implied volatility skew and the skew is adjusted to the underlying futures settlement price. Dairy products are settled using a flat volatility determined by the at-the-money straddle.

Weather Options: Option trades are converted to “standard deviations” using a model based on Stephen Jewson’s model for pricing Weather. This standard deviation creates prices in the entire options series which is then applied to the open strikes.

Housing Futures and Options: The futures are settled to the last trade or better bid/offer on Globex. Absent a trade or better bid/offer, the prior day settlement is used. The options are settled using volatility skews derived from the midpoints of the bid/ask in a given strike, tied to a futures level.

Metal Options: Exchange officials, in consultation with market participants, establish the at-the-money volatility and create the volatility surface for the out-of-the money puts and calls for all option series based on traded/quoted outrights and spreads, which is entered into an options pricing model to determine the settlements for all strikes. Settlements may be adjusted in accommodate relevant orders.”

[For more on the CME Group’s business, see Mark Palmer’s Innovation by the Numbers post.]

Event-Driven Organization

Goldman shared that the exchange has been an event-driven organization for a long time, at least since they began electronic trading.  Goldman described CEP as the epitome.  CEP introduces an engine to process thousands and thousand of real-time events, with a simple way to instruct the engine on what to do with those events.

Goldman emphasized the productivity benefits for business users.  Business users will be able to build, dynamically change and test models.  Once the business scenario is resolved, the business hands off the models to technology personnel who focus on implementation aspects, such as scale, reliability and monitoring.

[Weather Options Settlement Example in StreamBase, Click on Picture to enlarge]

 

By adding StreamBase, they now have a powerful and flexible tool to work with market data. To maximize this flexibility, the solution is being architected to receive all market data within the exchange, as well as many external data sources. 

Future use cases include real-time risk analysis and the margining aspect of the business.   

Selection Process

In respect to the selection process, Goldman spoke of mature enterprise architecture practices and deep business participation.  They started by developing an enterprise architecture framework that looked into the entire settlement process.  This resulted in a design, which ultimately led to Complex Event Processing.

Goldman outlined an evaluation process that continually narrows the field via introductory briefings, RFI responses, follow-on meetings, proof-of-concepts, gap analysis, and business terms.  During the CEP evaluation, the CME Group looked at four vendors, and ended with two finalists.

The team determined that both finalists could do the job, meeting functional, performance, scale and monitoring requirements.  Ultimately, the usability of the StreamBase Studio won the day.

The product’s ease of use, Goldman believes, also contributed to the business team’s deep engagement in the proof-of-concept and involvement in the final decision-making. 

Return on Investment

Goldman projects the CEP engine investment will pay-off in less than a year.  The alternative to purchasing a CEP engine was a custom solution.  A custom solution would have required more development time and delayed the introduction of business capability, which the CME Group needs now. 

In addition, a custom solution would have included manual processing and “taped together” third party tools.  Besides cost and time, this path introduces more opportunities for error.

Real-time World

Speaking to opportunities outside of capital markets, Goldman spoke of the importance of real-time business in an increasingly real-time world.  The ability to see and process orders, data, risk and regulatory compliance in real-time ultimately results in more business.  More business results in more profits, now.

 

[Disclosure: StreamBase is not a client of my company, Elemental Links.  Nor do I have the skill to trade on the CME Group’s exchanges.]

Grumpy Architect week: There is more to services than re-use

Perhaps I’m just grumpy this week.  Or, concerned for the future.  Or, most likely, both.  Nevertheless, I find conventional SOA lore more bothersome than usual.  Specifically, the paired notions that the sole reason to implement services (or not) is re-use potential, and that the main architectural aspect of SOA is governing said services for re-use. Now, don’t misinterpret, there is true value in sharing services and governance is critical.  However, SOA, or better said, services-architecture doesn’t begin and end with re-use potential and enforcement.

For those with architectural backgrounds – software not marketing trend – what follows is nothing new.  You are well acquainted with foundational tenets such as separation of concerns, modularity, loose coupling, cohesion etc and the associated benefits.  Unfortunately, based on my interactions over the last several months, I must report (a) this knowledge is not universal (b) people can’t articulate the benefits of well-architected software and/or (c) the dots don’t connect all the way to SOA.

Since the presence of well-defined (and well-built services) is assumed in a bevy of existing and emerging technology strategies -- mashups, event-processing, business process automation and cloud computing -- we need to correct the record on the total value of services and make the connection to proper architectural discipline.

To aid in this ‘services-architecture’ education, I’d like to call out excerpts of three works.  The first source is Luke Hohmann’s excellent 2003 book, Beyond Software Architecture.  In Chapter 1, Hohmann describes (reminds us of) architectural design principles that have stood the test of time:

“Encapsulation
The architecture is organized around separate and relatively independent pieces that hide internal implementation details from each other.

Interfaces
The ways that subsystems within a larger design interact are clearly defined.  Ideally, these interactions are specified in such a way that they can remain relatively stable over the life of the system.  One way to accomplish this is through abstractions over the concrete implementation.  Programming to the abstraction allows greater variability as implementation needs change.

…Another area in which the principle of interfaces influences system design is the careful isolation of aspects of the system that are likely to experience the greatest amount of change behind stable interfaces.

Loose Coupling
Coupling refers to the degree of interconnectedness among different pieces in a system.  In general, loosely coupled pieces are easier to understand, test, reuse, and maintain, because they can be isolated from other pieces of the system.  Loose coupling also promotes parallelism in the implementation schedule.  Note the application of the first two principles aides loose coupling.

Appropriate Granularity
One of the key challenges associated with loose coupling concerns component granularity.  By granularity I mean the level of work performed by a component.  Loosely coupled components may be easy to understand, test, reuse, and maintain in isolation, but when they are created with too fine of a granularity, creating solutions using them can be harder because you have to stitch together so many to accomplish a meaningful piece of work.  Appropriate granularity is determined by the task(s) associated with the component.

High Cohesion
Cohesion describes how closely related the activities within a single piece (component) or among a group of pieces are.  A highly cohesive component means that its elements strongly relate to each other.

Parameterization
Components can be encapsulated, but this does not mean that they perform their work without some kind of parameterization or instrumentation.  The most effective components perform an appropriate amount of work with the right number and kind of parameters that enable their user to adjust their operation. 

Deferral
Many times the development team is faced with a tough decision that cannot be made with certainty. …By deferring these decisions as long as possible the overall development team gives themselves the best chance to make a good choice.  While you can’t defer a decision forever, you can quarantine its effects by using the principles of good architectural design.” 

To state the obvious, the above principles all apply to service design.  Pointing out the (apparently) less obvious, the value of applying these principles – protecting against and planning for change, breaking up work, smart-sizing assets, isolating risk – are benefits that can be derived from services, regardless of re-use potential.

Moving to a real world example, the March 2008 Harvard Business Review featured an article by David M. Upton and Bradley R. Staats, entitled Radically Simple IT.  The article is on Japan’s Shinsei Bank implementing a new enterprise system:

“In our research, we discovered a standout among the companies applying the path-based method: Japan’s Shinsei Bank. It succeeded in developing and deploying an entirely new enterprise system in one year at a cost of $55 million: That’s one-quarter of the time and about 10% of the cost of installing a traditional packaged system. The new system not only served as a low-cost, efficient platform for running the existing business but also was flexible enough to support the company’s growth into new areas, including retail banking, consumer finance, and a joint venture to sell Indian mutual funds in Japan.

The path-based principles that Shinsei applied in designing, building, and rolling out the system—forging together, not just aligning, business and IT strategies; employing the simplest possible technology; making the system truly modular; letting the system sell itself to users; and enabling users to influence future improvements—are a model for other companies. Some of these principles are variations on old themes while others turn the conventional wisdom on its head.”

Although the entire article is excellent, I wanted to call out the section on “Modularity, not just modules”.  The emphasis is mine.

“While the prevailing view that big IT programs and systems should consist of modules is hardly new, the concept of modularity is often misunderstood. Just because a software developer claims that the various parts of its applications are modules does not mean that they are actually modular. Modularity involves clearly specifying interfaces so that development work can take place within any one module without affecting the others. Companies often miss that point when developing enterprise systems. For example, we know of an automobile company that had teams working on multiple modules of a new enterprise system and claimed to have a modular design. However, one team was in charge of interfaces and was constantly changing them. Every alteration by this group forced all the other groups to spend huge amounts of time redoing the work they had already completed. Rather than limiting the impact of changes by embracing modularity, this company had actually amplified problems!

A truly modular architecture allows designers to focus on building solutions to local problems without disturbing the global system. With small, modular pieces, the organization can purchase off-the-shelf solutions or turn to inside or outside developers for a certain piece, accelerating the speed of development. Modular architecture also makes it easier to upgrade the technology within modules once the system is up and running.

Breaking down and solving problems in this way offers a number of advantages beyond speed. It allows the IT team to concentrate on obtaining the lowest-cost solution for each part and (by partitioning work) reduces the impact of a single point of failure. Clearly specifying the functions of modules and the interfaces makes it easier to build a module that can be reused in other applications.

The modular approach was a critical part of achieving the bank’s strategy, as Dvivedi described it, “to scale up and expand into new activities with ease, to be able to service the needs of the organization as it grows from a baby into an adult…and avoid building capacity before we need it.” Take loan-processing capabilities. The project team rolled out the capabilities in small stages for three reasons: to prove to management that the computer system would perform as promised, to avoid overwhelming managers and users with too much automation all at once, and to be able to address any technical issues quickly as they arose. Accordingly, the team initially sought to show that the system could correctly approve credit for a small number of loans (20 to 30 a day). Then the team developed the capacity to fully process 200 to 300 loans a day. As the business grew, Shinsei eliminated manual work to reach a capacity for processing 6,000 loans a day.

Thanks to the modular structure of the automated system, Shinsei can simply replace one part (the loan-application or credit-checking functions, for example) without affecting the rest. What’s more, modularity has allowed Shinsei to change its IT when appropriate or necessary without having to risk upsetting customers. It can keep the customer interfaces (such as web pages or the format of the ATM screen) the same while changing the back-end systems.”

Besides the excellent real-world example in applying and benefiting from the architectural principles cited by Hohmann, this article also calls out the ability to source functionality at a modular level.  With the advent of cloud computing, and subsequent opening of service markets, there is even more motivation to design and implement a services architecture.  As Dave Linthicum advises, “leverage other people’s work”.

Lastly, I want to point out a sidebar Guide to Modularity, from a 1997 Harvard Business Review article on Managing in an Age of Modularity.  The premise of this article was to introduce managers outside of technology and manufacturing to embrace modularity practices in product development:

“By breaking up a product into subsystems, or modules, designers, producers, and users have gained enormous flexibility. Different companies can take responsibility for separate modules and be confident that a reliable product will arise from their collective efforts.”

A Guide to Modularity

“Modularity is a strategy for organizing complex products and processes efficiently. A modular system is composed of units (or modules) that are designed independently but still function as an integrated whole. Designers achieve modularity by partitioning information into visible design rules and hidden design parameters. Modularity is beneficial only if the partition is precise, unambiguous, and complete.

The visible design rules (also called visible information) are decisions that affect subsequent design decisions. Ideally, the visible design rules are established early in a design process and communicated broadly to those involved. Visible design rules fall into three categories:

•    An architecture, which specifies what modules will be part of the system and what their functions will be.

•    Interfaces that describe in detail how the modules will interact, including how they will fit together, connect, and communicate.

•    Standards for testing a module’s conformity to the design rules (can module X function in the system?) and for measuring one module’s performance relative to another (how good is module X versus module Y?).

Practitioners sometimes lump all three elements of the visible information together and call them all simply “the architecture,” “the interfaces,” or “the standards.”

The hidden design parameters (also called hidden information) are decisions that do not affect the design beyond the local module. Hidden elements can be chosen late and changed often and do not have to be communicated to anyone beyond the module design team.”

In respect to SOA, the design rule most often broken is identifying “what modules will be part of the system and what their functions will be.”  The most common mistakes:

1. the service portfolio map’s scope is immediately reduced to “those services that will be re-used”
2. the service portfolio map mirrors the current software asset repository
3. the service portfolio map is a derived artifact from individual project plans and deliverables

In creating a service portfolio map, start with business capabilities, business processes and/or business information, and perform business analysis to identify key business concepts that will represented by, further partitioned into, services.  Depending on the granularity of your starting point, work two to four levels down.  For instance, if your starting point is Supply Chain, you’ll still be doing business analysis four levels down.  If your starting point is Warehouse Receiving, by the fourth level you are probably in implementation detail.  Fine for a Warehouse Receiving project, but too deep for your service portfolio map.

With a clear understanding of the architectural aspects and full benefits of services, and a high-level service portfolio map, you can better position your organization to succeed in this new environment where services, and a services mindset, are assumed.

Insight from today’s event processing roundtable: improving business history

During today’s event processing roundtable on ebizQ, Joe McKendrick asked us to comment on the relationship, or continuum, between complex event processing and business intelligence.  I went first and spoke of a continuum (or flow) that exists with the introduction of an active information tier.  Instead of viewing CEP in silos for a particular business application, I advocate the creation of an “active information tier” which is minimally comprised of raw (unprocessed) events, notable (filtered, promoted, processed) events, event interpretations and event-driven action triggers.

Using this active information tier, you can take better-informed actions for your business today, and make better-informed decisions for your business tomorrow (future). 

An interesting point that David Olson of Progress made in his answer concerned the role of business past in making decisions about your future business.  As we all know, business intelligence / decision support is highly dependent on historical business data.  David pointed out that organizations employing CEP not only get the benefit of taking the right action today, the correctness of the action also contributes to a higher quality of business history, and therefore strengthens business intelligence results for tomorrow.

So, even if your active information tier (or CEP implementation) doesn’t initially extend to business intelligence, you are still improving business intelligence input, and one would hope, output.

Below is my quick attempt to illustrate the above.

 

Thanks Joe and David for the insightful conversation!

ebizQ Event Processing Roundtable, Wednesday, May 13, 2009

On Wednesday, May 13, 2009, I’ll be participating in an ebizQ roundtable discussion on Managing Events in an Eventful Year.  Fellow roundtable participants are David E. Olson, Director of CEP Product Marketing, Progress Software and Joe McKendrick, Contributing Editor and Analyst at ebizQ. 

Based on our quick introductory call last Friday, I can assure folks this will not be a CEP equals Algorithmic Trading discussion.  In addition to capital markets, we exchanged examples of event processing in energy management, logistics, risk management and ecommerce.  As well, we chatted about the ties of event processing with SOA, and I shared a little of my active information tier vision.

Since it’ll be a live conversation, incorporating attendee questions/feedback, I can’t say exactly where the conversation will go, but I know it’ll be interesting. Please join us.

If you’d like to schedule time to talk about your event processing initiatives or products, send me an email, or connect on twitter.

Sandy Carter on Smart SOA in Tough Economic Climate (+ “mollusc-driven architecture”)

The SOA Consortium just published the second podcast from our March meeting.  This one features IBM’s Sandy Carter talking about Smart SOA^(tm) in a Tough Economic Climate.  Per usual, Sandy’s talk was full of customer anecdotes, my favorite was from StatOilHydro.  Concerned with the environmental and revenue impacts of leaks during oil drilling, StatOil sought an innovative and automated way to detect leaks.  They wanted to replace a manual process that included deep sea drivers.  StatOil’s innovation, they attached RFID tags to the shells of blue mussels.  When the blue mussels sense an oil leak, they close which prompts the RFID tags to emit closure events.  In response to the events, the drilling line is automatically stopped.  And, in case you are wondering, this is of no harm to the blue mussels.  I tweeted this example during the session, and Richard Veryard quickly and cleverly coined “mollusc-driven architecture”.

To listen to an audio recording of Sandy’s presentation and view the slides go here.  The full write-up of the session, pulled from my SOA Consortium Insights post, follows:

“Sandy Carter, IBM VP, SOA, BPM and WebSphere, spoke on the importance of taking a Smart SOA^(tm) approach in a Tough Economic Climate, at the March 2009 meeting of the SOA Consortium in Washington DC.

Carter began by sharing that customers are asking about, and employing, service-orientation and business process management not only to survive the economic crisis, but also to thrive and become more successful when the economic crisis ends.  To this point, CEOs are equally concerned with cost optimization and agility.  Carter was careful to distinguish cost optimization – re-using services, optimizing processes – from non-sustainable cost cutting.

In addition to the economic climate, Carter spoke of marketplace changes based on technology location and proliferation. There are one billion transistors for each person on earth. One trillion things connected to the Internet. And, by 2010, there will be 30 billion RFID tags embedded into our world. This pervasive connectivity and instrumentation provides innumerable opportunities to smarten our companies, countries and environment.

Interestingly, in each of the Smarter Planet examples Carter cited, such as StatOil’s RFID tagging of blue mussels to quickly identify and stop leaks during oil drilling, the solutions all had SOA at the core. When an attendee called out this theme, Carter shared that SOA has become control point of competitive advantage for companies. If you haven’t deployed yet, now is the time.  If you have, now is the time to take your SOA to the next level.

To listen to an audio recording of Carter’s presentation and view the slides go here.

Following her presentation, Carter signed copies of her latest book,  The New Language of Marketing 2.0, How to use ANGELS to Energize your Market.”