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Cashing in on APIs – Leveraging Technology to Boost Your Business

Even if you’re not an excessively tech-savvy individual, you most likely would have used a mobile application in your mobile device via an internet connection, used a Gmail client, Twitter, Facebook, or mobile apps, or purchased something online. In a tech world, you’re already reaping the benefits of application programming interfaces (APIs). The use of APIs is becoming even more popular today as service providers are scrambling to embrace the Internet of Things. With the availability of new tracking devices, smart homes, smart vehicles, mobile phones and tablets, consumers now have more options on how they consume applications.

Let’s take a step back and try to understand what this all means. An API is a term that’s used to denote a well-defined interface to access certain resources – in other words a service available to an end-user. If you haven’t worked with web APIs before, you may think it’s a type of service exposed over the Internet to perform certain operations. APIs are the foundation of today’s software engineering industry and enterprises are jumping on the bandwagon to reap the benefits of using them to integrate and automate to make their online services more appealing and user-friendly to end-users. Well-designed APIs will enable your business to expose content or services to internal and external audiences in a versatile manner. Today, most organizations use APIs to build their solutions internally and expose these services to the world at large. APIs will immensely benefit both service development teams as well as service consumers.

A good, yet simple example that illustrates this well is a weather update application that’s available on your mobile device. This application that typically runs on a device will not be able to provide weather forecasts of a specific area without connecting to an external service. However, it can call a GPS device on your mobile device or request the user to retrieve location coordinates of a specific area for which you want a forecast. Once you’ve defined your geographical location, the mobile application can simply call a weather service API and request the required information. What’s important to note here is that you don’t need to perform any complicated tasks, do calculations, or run an analysis on the mobile device. You can simply push relevant parameters to an API and obtain the results you want.

If you view this same example from one level up, you’d see that there’s a client application and a service and both of these are connected by an API. That’s essentially what an API does; it can integrate your services, data, content, and processes with external parties in a very effective and efficient manner. So, what’s the difference between services and APIs? Essentially, the functions of both are the same, but a slight differentiator would be that an API would generally have a well-defined interface to its services. That said, there’s a notable difference between managed and normal web APIs/services. Managed APIs are often enriched with additional features on top of a standard API or service. These are referred to quality of services or QoS. Common QoSs include security, access control, throttling, and usage monitoring. Security forms the foundation any API infrastructure across the entire digital value chain. Malicious users can access your systems the same as legitimate users would, therefore it’s important to enable security at all points of engagement. Usage monitoring helps enterprises to improve their APIs, attract the right app developers, troubleshoot problems and, ultimately, translate these to better business decision.

Boosting efficiency to become more competitive

Enterprises too are seeing the potential benefits of APIs to propel business growth, irrespective of the size and nature of the business and the industry they operate in. The key is to get started now to be able to maintain a competitive edge. A typical example is the extensive use of APIs in the hospitality industry; for instance, the owner of a restaurant or a small hotel would operate a simple website and some internal services. But at some point, when the business grows, they cannot maintain the same internal system and work with external parties. At this stage, business owners would need to think about consuming external services and exposing their services to the external world. And that’s when APIs and API management solutions come into play.

Large, global companies in the financial, transportation, logistics, and consumer sectors have already started to expose their systems and services to the outside world as APIs. The real benefit lies with being able to seamlessly integrate internal systems with those external ones to leverage benefits like creating properly structured services that are synced within the company, e.g. human resources department exposing non-sensitive employee data to other departments that need this information. A typical example is an online retail business that would need a payment solution to integrate with its system. Such a solution would not need to be implemented from scratch, rather the business can expose APIs via already available payment solution providers like Stripe, Zuora, or PayPal.

To explain this further, let’s consider a restaurant owner who can expose menus and ordering services via APIs. This will enable external developers to consume these APIs with their apps and incorporate the restaurant’s menus and services into the travel applications they’re building. When exposing APIs, the restaurant owner would need to consider throttling, a process responsible for regulating the rate at which the application is processing, as well as the security aspect of exposing these APIs. On top of these, a service provider may need some insights into the usage of these APIs – for instance, details about service consumers (like which apps have been invoked more), usage patterns (most popular food types), traffic patterns (peak order times), etc in order to make certain business decisions and make the service more efficient. For this, you might need sort of analytics and usage monitoring capabilities as part of your overall API management solution.

How Internal Services Can Expose Services to External World Via APIs

how internal services can expose services via APIs

Ultimately what you achieve in terms of business benefits is brand awareness by becoming a smart business. Moreover, in addition to profits gained from direct API consumption, users can earn additional revenue by charging users for API/service usage. This concept is known as API monetization and most API management solutions already have this feature in-built as an extension, enabling creative users to turn cool ideas into revenue generating APIs within minutes. And open source products have proved to be most useful to meet all your API management requirements as its cost effective and easy to deploy.

Understanding Causality and Big Data: Complexities, Challenges, and Tradeoffs

image credit: Wikipedia, Amitchell125

“Does smoking cause cancer?”

We have heard that lot of smokers have lung cancer. However, can we mathematically confirm that smoking causes cancer?

We can look at cancer patients and check how many of them are smoking. We can look at smokers and check will they develop cancer. Let’s assume that answers come up 100%. That is, hypothetically, we can see a 1–1 relationship between smokers and cancer.

Okay: can we claim that smoking causes cancer? Apparently it is not easy to make that claim. Let’s assume that there is a gene that causes cancer and also makes people like to smoke. If that is the cause, we will see the 1–1 relationship between cancer and smoking. In this scenario, cancer is caused by the gene. That means there may be an innocent explanation to 1–1 relationship we saw between cancer and smoking.

This example shows two interesting concepts: correlation and causality from statistics, which play a key role in Data Science and Big Data. Correlation means that we will see two readings behave together (e.g. smoking and cancer) while causality means one is the cause of the other. The key point is that if there is a causality, removing the first will change or remove the second. That is not the case with correlation.

Correlation does not mean Causation!

This difference is critical when deciding how to react to an observation. If there is causality between A and B, then A is responsible. We might decide to punish A in some way or we might decide to control A. However, correlation does warrant such actions.

For example, as described in the post The Blagojevich Upside, the state of Illinois found that having books at home is highly correlated with better test scores even if the kids have not read them. So they decide the distribute books. In retrospect, we can easily find a common cause. Having the book in a home could be an indicator of how studious parents are, which will help with better scores. Sending books home, however, is unlikely to change anything.

You see correlation without a causality when there is a common cause that drives both readings. This is a common theme of the discussion. You can find a detailed discussion on causality from the talk “Challenges in Causality” by Isabelle Guyon.

Can we prove Causality?

Casualty is measured through randomized experiments (a.k.a. randomized trials or AB tests). A randomized experiment selects samples and randomly break them into two groups called the control and variation. Then we apply the cause (e.g. send a book home) to variation group and measure the effects (e.g. test scores). Finally, we measure the casualty by comparing the effect in control and variation groups. This is how medications are tested.

To be precise, if error bars for groups does not overlap for both the groups, then there is a causality. Check https://www.optimizely.com/ab-testing/ for more details.

However, that is not always practical. For example, if you want to prove that smoking causes cancer, you need to first select a population, place them randomly into two groups, make half of the smoke, and make sure other half does not smoke. Then wait for like 50 years and compare.

Did you see the catch? it is not good enough to compare smokers and non-smokers as there may be a common cause like the gene that cause them to do so. Do prove causality, you need to randomly pick people and ask some of them to smoke. Well, that is not ethical. So this experiment can never be done. Actually, this argument has been used before (e.g.https://en.wikipedia.org/wiki/A_Frank_Statement. )

This can get funnier. If you want to prove that greenhouse gasses cause global warming, you need to find another copy of earth, apply greenhouse gasses to one, and wait few hundred years!!

To summarize, Casualty, sometime, might be very hard to prove and you really need to differentiate between correlation and causality.

Following are examples when causality is needed.

  • Before punishing someone
  • Diagnosing a patient
  • Measure effectiveness of a new drug
  • Evaluate the effect of a new policy (e.g. new Tax)
  • To change a behavior

Big Data and Causality

Most big data datasets are observational data collected from the real world. Hence, there is no control group. Therefore, most of the time all you can only show and it is very hard to prove causality.

There are two reactions to this problem.

First, “Big data guys do not understand what they are doing. It is stupid to try to draw conclusions without randomized experiment”.

I find this view lazy.

Obviously, there are lots of interesting knowledge in observational data. If we can find a way to use them, that will let us use these techniques in many more applications. We need to figure out a way to use it and stop complaining. If current statistics does not know how to do it, we need to find a way.

Second is “forget causality! correlation is enough”.

I find this view blind.

Playing ostrich does not make the problem go away. This kind of crude generalizations make people do stupid things and can limit the adoption of Big Data technologies.

We need to find the middle ground!

When do we need Causality?

The answer depends on what are we going to do with the data. For example, if we are going to just recommend a product based on the data, chances are that correlation is enough. However, if we are taking a life changing decision or make a major policy decision, we might need causality.

Let us investigate both types of cases.

Correlation is enough when stakes are low, or we can later verify our decision. Following are few examples.

  1. When stakes are low ( e.g. marketing, recommendations)?—?when showing an advertisement or recommending a product to buy, one has more freedom to make an error.
  2. As a starting point for an investigation?—?correlation is never enough to prove someone is guilty, however, it can show us useful places to start digging.
  3. Sometimes, it is hard to know what things are connected, but easy verify the quality given a choice. For example, if you are trying to match candidates to a job or decide good dating pairs, correlation might be enough. In both these cases, given a pair, there are good way to verify the fit.

There are other cases where causality is crucial. Following are few examples.

  1. Find a cause for disease
  2. Policy decisions ( would 15$ minimum wage be better? would free health care is better?)
  3. When stakes are too high ( Shutting down a company, passing a verdict in court, sending a book to each kid in the state)
  4. When we are acting on the decision ( firing an employee)

Even, in these cases, correlation might be useful to find good experiments that you want to run. You can find factors that are correlated, and design the experiments to test causality, which will reduce the number of experiments you need to do. In the book example, state could have run a experiment by selecting a population and sending the book to half of them and looking at the outcome.

Some cases, you can build your system to inherently run experiments that let you measure causality. Google is famous for A/B testing every small thing, down to the placement of a button and shade of color. When they roll out a new feature, they select a population and roll out the feature for only part of the population and compare the two.

So in any of the cases, correlation is pretty useful. However, the key is to make sure that the decision makers understand the difference when they act on the results.

Closing Remarks

Causality can be a pretty hard thing to prove. Since most big data is observational data, often we can only show the correlation, but not causality. If we mixed up the two, we can end up doing stupid things.

Most important thing is having a clear understanding at the point when we act on the decisions. Sometime, when stakes are low, correlation might be enough. On some other cases, it is best to run a experiment to verify our claims. Finally, some systems might warrant building experiments into system itself, letting you draw strong causality results. Choose wisely!

Enterprise Architects Appreciate “Lean”

Standing out from our conversations with dozens of Enterprise Architects at last week’s Forrester Enterprise Architecture Summit 2011 in The cloud descends on San Francisco for the Forrester EA Summit 2011 [Jonathan Marsh from the Golden Gate Bridge 2/16/2011]San Francisco was the interest in and appreciation of “lean” approaches to integration challenges.  From a lot of nodding in the room after Paul’s assertion that a lean solution was a key factor in eBay’s choice to use the WSO2 ESB in their ultra-scale deployments, to expo floor conversations with Enterprise Architects who are tired of suffering under bloated old industrial middleware and perking up at the idea that this is not inevitable, I came away with the impression that we may be on the cusp of a “lean” wave.

Let me be clear, while the WSO2 Carbon platform is lean it’s not skinny.  Through a sophisticated componentization model based on OSGi, there are hundreds of features to choose from, comprising a complete middleware platform from data to screen.  You just don’t typically need them all at once.

What are some of the factors that are driving the lean movement?  I think they include:

  • Simplified installation, configuration, and provisioning.
  • Low resource use, specifically modest disk and memory footprints.
  • High performance as a result of a simple straight-line approach to the problem at hand.
  • Immense productivity and reliability gains which occur when a tool addresses the problem at hand directly, not through multiple layers of generalization and abstraction.

This lean mentality kind of reminds me of my Microsoft days during which Windows Server Data Center Edition was introduced.  DC is essentially a version of Windows Server stripped down to its leanest, most performant and secure core.  It surprised me at the time that they charged significantly more for less actual code.  But it does demonstrate the value proposition of “lean,” and why it may now be a trending topic in the field of Enterprise Architecture.

Jonathan Marsh, VP Business Development and Marketing
Jonathan’s blog: http://jonathanmarsh.net/blog

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Why Governance isn’t just for SOA – but Identity too!

People often think of security in terms of barriers. But anyone who looks after a barrier knows that its an ongoing process. And managing processes is what we call governance. A few years ago, I would talk to people who had put in place a firewall. They were convinced they were now “secure”. But then I’d ask what process they had to monitor the firewall and its logs. Unfortunately too often a look of “do I have to do that?” crept onto their faces. Without governance, a firewall is no good: if you don’t know someone is making a concerted effort to attack you, they will eventually get through.

It is not just firewalls that require governance. Increasingly I see examples of security issues that also are linked to governance. I think Wikileaks is a good example: whoever did it had too much access (not policy based but simply yes/no) and there was no “alert” that perhaps an unusual access pattern was in operation. Similarly I recently heard of a situation where an employee kept their online work log in for six months after they left the company.

Too many keys, copyright 2011 Jonathan MarshThere are two prime causes for this:

  • Firstly, there are too many identities. Each of us knows we have tens if not hundreds of identities on different systems. And there is no overall control of those identities.
  • Secondly, there are too many places that permissions are checked, or not checked. On the whole we rely on each application to implement permissions and there is a huge lack of consistency between these systems.

Its possible to fix some of these problems with manual governance processes. But even better is to automate them: the least human effort giving the most security.

We believe that there are two key technologies that can help:

1. Federated Identity Tokens

For example – SAML2 – the Security Assertion Markup Language v2 is a standard for XML-based identity tokens. These tokens give us two big benefits: single-sign on and federated identity. SAML2 can help unify as many systems as possible around a single identity. You can configure Salesforce or Google Apps to accept SAML2 tokens from a system driven by your internal LDAP. When an employee leaves, all you need to do is to remove them from your LDAP system and they are automatically shut out of all SAML2 based systems. This is an example of federating the identity from your internal model into Salesforce or Google. Amazingly, unlike most security systems that make life harder, SAML2 actually helps your users, because it gives them single-sign on onto many different websites.

How does SAML2 do this? The key benefit of SAML2 is that the user authenticates to a single “identity server”. Then this server creates a token which is trusted for a limited time by the target. The token can contain a variety of information (“claims”). These claims can be used as part of any authorization process. For example, a claim could assert that the user is logging in from a secure network.

2. Policy-based authorization and entitlement

For example: XACML – the XML Access Control Markup Language – does for authorization what SAML2 does for authentication. It allows a single policy based model for who can access which resources. XACML is very powerful too. It can work in conjunction with SAML2 to create very rich security models. For example, you can allow different access to users who are logged into a secure computer on a secure network as opposed to users coming via their laptop from Starbucks.

XACML does this by being able to capture complex “entitlement” logic into the Policy. The Policy is an XML file that can be stored in a smart registry. For example a policy might state that user Paul may access a salary update process between 9AM and 5PM GMT if Paul is in Role Manager.

 

The title of this blog is that governance is not just for SOA. SOA Governance has been — in our view — an area where the architecture community has learnt a lot of useful lessons. Let’s try to apply the SOA Governance lessons to Identity and Security Governance.

In the SOA world a common pattern for governance is the combination of a Registry and an ESB. The secret to this is:

  • Using policy and metadata instead of code, and managing the metadata in a Registry.
  • Moving towards a canonical model and transforming legacy systems into the canonical model.
  • Putting in place central logs and monitoring.

It turns out we can learn exactly the same lessons for Identity:

  • Using XACML to have a consistent model and way of defining authorization and entitlement using policy instead of hard-coding it into apps and storing these policies in a Registry.
  • Audit Log, Copyright 2011 Paul FremantleUsing SAML2 as a canonical model for Identity and bridging that into legacy systems as much as possible.
  • Using common auditing across your Policy Enforcement Points (PEPs) to ensure a single central audit log.

With this kind of model the governance becomes much more simple and automated. Removing a user’s login permission can remove login from everything. Authorization can be based on policies, which can be managed using processes. Even remote systems like Salesforce will still be included in the audit, because when a user signs in via SAML2, the SAML2 token server will create an audit event.

OpenID and OAuth are alternatives that perform similar and complementary functions to SAML2 and XACML, and are supported by a number of websites and web-based systems.

Good governance is tricky, and an ongoing process. The best way to get good governance is to automate it around simple straightforward approaches. The trio of metadata, canonicalization and log/audit is a great start and putting in place a solution around that architecture is an effective way to improve your Identity Governance.

 

 

Portions of this post have previously appeared in an article written by the author for Enterprise Features

Paul Fremantle, WSO2 CTO
Paul’s blog: http://pzf.fremantle.org/

Recognizing the Stars

No, this post is not about the Golden Globe Awards. This post is about another special awards ceremony that also took place last weekend — the annual WSO2 Awards Night!

Every year here at WSO2 we pay tribute to the top outstanding contributors. The entire team  really contains a whole bunch of stars but some do shine especially bright. Without imagetheir passion, commitment, and attitude to shine the extra mile, we would not have come this far in redefining middleware and providing support services matched by no other.

Like the Globes we’ve got a bunch of categories too: Outstanding Contributor of the Year, Customer Delight, and Outstanding Team of the Year.

And this years’ winners were … drum roll please …

Outstanding Contributor Award: Samisa, Azeez, Supun, Buddhika, Charitha, Saminda, Milinda, Evanthika, Krishantha, Chathuri, Padmika, Janath, Devaka, Shankar, Sumedha, Udeshika

Customer Delight Award: Prabath, Senaka, Hiranya, Asanka Abeysinghe, Chamith, Kasun, Nirosh

And the Outstanding Team of the Year Award goes to … the QA Team, for putting out 46 releases, about 150 patches, and 16 cloud releases, while remaining (mostly) sane.  Incredible work!

This year for the first time, we also gave out long service awards for those who’ve been in the Company for five years, which is practically since its inception. There were nine long-timers in total, including yours truly! :)

Its been a great team to work with and each year only gets better than the one before. So here’s to another outstanding year — 2011 here we come!

Hasmin AbdulCader, WSO2 Director of Marketing

Hasmin’s tweets: http://twitter.com/HasminA

How much should you care?

A couple of weeks ago, I recorded a podcast with Paul O’Connor and Dana Gardner. Paul O is someone I’ve worked with on and off for about four years now, first as he helped customers Podcast iconnavigate SOA and now as he leads their thinking in Cloud. It was immense fun recording the podcast with Paul, but, if anything, we only scratched the surface of Paul’s thinking. He is one of the real visionaries of how Cloud is going to affect large businesses IT and completely rewire it.

Paul O believes that the end-game of true cloud computing is the ability for a business to completely focus on the business and have the IT from infrastructure to development completely available as a Service. Paul calls this the Grand Unified Theory of Cloud: consuming IT entirely as a service.

I personally don’t agree: I think that there needs to be a sliding line that divides IT from the pieces I have to care about to the pieces I don’t. Twenty years ago I cared about processor instruction sets and assembly code. Today I don’t. Today, I don’t care what actual hardware my Amazon images run under — there is a rough measure and the details don’t bother me. On the other hand, if I was doing algorithmic trading, I care even about the clock frequency I can rack the machine up to. I don’t believe that we will ever get to a line where the business doesn’t care about any of the details — that simply opens up an opportunity for another business to find competitive advantage by finding something to care about. But I do agree with Paul: at the moment we are forced to care about too many aspects.

Here at WSO2 we are trying to create a platform where you can stop caring about 99% of the middleware issues and we can provide a platform that just takes care of that for you. The real Grand Unified Theory of Cloud for me is being able to choose exactly what to care and focus on in your IT, and have the other parts just work — as a service.

Find the full podcast and transcript here.

Paul Fremantle, WSO2 CTO

Paul’s blog: http://pzf.fremantle.org/

Good Things Come in Threes

In keeping with our Solutions Architecture focus, we’ve just released three new whitepapers describing reproducibly successful patterns we’ve seen (and helped) our customers achieve.  Complete with architectural diagrams and requirements, I’m sure readers of this blog will find these solutions interesting, and applicable to specific challenges they may be facing.


WSO2 Mobile Gateway Solution: Extend the Boundary of Your Enterprise Through Innovative Mobile Experiences

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WSO2 FIX Gateway Solution:Interoperable Connections for the Financial Industry


WSO2 SAP Message Gateway Solution: Cost-Effective SAP NetWeaver Replacement

Naturally, each of these solutions makes effective use of the WSO2 Enterprise Service Bus.  Enjoy!

Jonathan Marsh, VP Business Development and Marketing
Jonathan’s blog: http://jonathanmarsh.net/blog

Defining a Generic API

With a premium placed on loose coupling, a typical SOA deployment displays a high degree of heterogeneity. Different service platforms run in scattered datacenters on a variety of server hardware, operating systems, and development platforms. The services expose different communication and security standards. Individual SOA implementation and maintenance teams will become acclimated to the level of heterogeneity with exposure to the environment, but when an external or internal consumer tries to access the SOA, they will come face to face with this complexity.

image

A common way to simplify and normalize interactions with a heterogeneous environment is to provide a unified API for service consumers — a unified, generic service layer.

One of our commercial bank customers with multiple service platforms began a project of defining a unified services layer, generalizing the the multiple service platforms active in the bank. At first they approached the problem in the traditional way: writing wrapper/proxy services in front of each of the existing services.  As part of an engagement with WSO2 they changed to a “Generic API” solution pattern which dramatically simplified the project by hiding the internal complexity of each service behind a user friendly API, a common URL for service access, and unified security policies.

The “Generic API” pattern installs a common API for the existing service infrastructure, converts traditional applications to services exposed over a normalized set of communication and security protocols, and provides a foundation supporting the easy addition of future service platforms.

image

When implemented with WSO2 products, the Generic API pattern leverages the WSO2 Enterprise Service Bus (ESB) and WSO2 Governance Registry. The WSO2 ESB connects with the back-end service layers and legacy applications, and exposes them through a new service layer.  This is easily accomplished with the proxy service capability of the WSO2 ESB.  Supporting a wide variety of of the transports and message formats, the WSO2 ESB provides a central hub for protocol switching and security mediation between the heterogeneous systems.

With sophisticated transformation capabilities, the WSO2 ESB extends the Generic API pattern to the problem of unifying data models, by converting or mapping messages representing different data models into a common and easily consumed model.

Storing and publishing common metadata such as service descriptions and policies describing the generic API also aids new developers interacting with the system.  In the deployment above, the WSO2 Governance Registry provides a common repository for storing and sharing all the necessary SOA artifacts.

The Generic API pattern provides the foundation for other other solution patterns as well.  In future posts we’ll discuss solution architectures for a Public Services Gateway and an Internal Services Gateway pattern.

Asanka Abeysinghe, Director of Solutions Architecture
Asanka’s blog: http://asanka.abeysinghe.org/

Get Ready for Summer – SOA Style

As you gear up for summer, sign up for our ever-popular SOA Summer School program starting in June.

No idea what SOA Summer School is? Well it’s a two-month program that offers weekly online sessions on various topics relating to enterprise SOA. We started WSO2 SOA Summer School in 2009 to help IT architects and developers beat the recession and imageupdate their knowledge and insights into the latest SOA technologies and best practices. We got such great feedback, we ran it again last year and are expanding it with brand new content this year.

While we’ve covered basic technology in the previous sessions, this year we focus on practical solutions to real world challenges faced by enterprises today. We’ll showcase WSO2-based solutions, from security to governance to enterprise integration and cloud. We’ve also changed the format a little bit as well — the sessions are now more intensive and only two hours long.

Here’s the list of sessions that you can sign up for by going to http://wso2.org/training:

  • Security policy enforcement for the enterprise
  • Identity Management in the Cloud
  • End-to-end governance in the enterprise
  • Enterprise integration with SAP and WSO2 ESB
  • Enterprise Integration with the FIX Protocol
  • Mobile-izing enterprises with the WSO2 Mobile Services Gateway
  • Master Data Management in your SOA
  • Platform-as-a-Service: The WSO2 way
  • Wrap-up: The Best of Summer School 2011

Here the link to the press release we issued this week, for more info.

Hasmin AbdulCader, Director, Marketing

Think Again.

Tomorrow at the Forrester Enterprise Architecture Forum 2011 (WSO2 is a Gold Sponsor and talking about Ultra-scale deployments) we are launching a new campaign – the “Think Again” campaign.  The theme of our booth and materials is:

Think there’s nothing new in middleware?  Think Again.

This campaign idea originated during a conversation we had recently during an investor analysis of WSO2 technology and business.  The comment was “WSO2 is the only new thing in the middleware space.”  We received similar excitement from analysts over our platform at the Gartner AADI conference last year, a recognition that our deliverables today match the Platform-as-a-Service vision predicted at the conference for five years out.

The foundations of this claim are solid:

  • Our lean and modular approach is unique and provides clear customer value.
  • Our cloud-native platform gives you a full range of deployment options, from on-premise server installations, virtualized environments on- or off-premise, or fully multi-tenant, elastic cloud deployments on public or private infrastructure.
  • And our open source business model and world-class support services raise the bar on software vendor-customer relationships.

A small taste of the campaign is available at http://wso2.com/thinkagain.

So, think we’re just a low-cost alternative to IBM, Oracle, Tibco, and the rest?  Think again.

Jonathan Marsh, VP Business Development and Marketing
Jonathan’s blog: http://jonathanmarsh.net/blog