And from that somewhat theoretical approach, we then got real ESB products — tools that fulfilled that role of connecting any to any system.
- HCL Technologies.
- Enterprise service bus.
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- Enterprise Service Bus : SOA service integration infrastructure : WebOTX | NEC.
Not always as magically as theory had suggested, but still — we most of the times got it to work. SOA was the architecture style we embraced — with decoupling as the holy grail and important tenets like encapsulation, autonomy, abstraction, statelessness, reusability and the standardized service contract. And with the integration platform in our hands, almost any data flow seemed a challenge we could nail.
The capability to quickly implement a flow from A to B through the ESB product lured us into implementing many different kinds of flows on that platform. Our hammer struck again and again.
Enterprise service bus (ESB)
Through this way of thinking and working, we have achieved a lot. Thinking in terms of standardized, common meta data and canonical models across enterprises for example — which in turn is a cornerstone for domain driven design that inspires us into microservices. And achieving decoupling between systems — and a structured way of approaching data flows. However, in many cases, the ESB platforms became very heavy.
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Because of the many different services and flows that were running on it and the many instances of all of them that had to be processed. And because of the way these platforms ran on their underlying application server. The logical decoupling that we achieved between services and their consumer was not matched by physical decoupling: generally the integration product had to make do all integrations from a shared set of physical resources and heavy traffic in one integration flow impacted the others.
Additionally, managing these complex, overweight platforms became huge issue. From patching and upgrading the platform, rolling out changed or new services to scaling under peak load, monitoring, handling errors, achieving long term stability and achieving required performance — it has become very hard to manage the jack-of-all-trades integration platform. Building on experience and concepts that have proven their worth and leveraging new insights and technologies, we are moving towards new ways of approaching different types of data flow.
We may still call them integration — but we recognize that they are vastly different , and should be implemented in very different ways.
We relinquish our hammer and replace it with a more varied toolset. One important data flow that we should identify is what I have labelled vertical integration : the synchronous interactions between consumers and one or more back end systems or services, as shown in the next figure. This data flow tends to be executed at high volumes so has to be very scalable, it has to be completed pretty quickly no more than ms and its implementation is usually not only stateless but relatively simple.
However, as there is no set industry definition for what enterprise service buses are it can result in different understandings of precisely what is meant when an ESB is being referred to. The concept behind a bus is that different software components known as services that run independently can integrate and communicate with each other.
This happens as each application talks to the bus, which modulates the communication, ensuring it arrives in the right place, saying the right thing in the right way. A simplistic analogy would be an automatic translation app that allows everyone to talk in their own language, but the listener would hear it perfectly in theirs.
The integration of ESB with open source integration platforms has enabled it to reach a very wide range of users. This demand can be satisfied by utilizing the existing systems as well as the Web services and Web API's that are available to the public, by minimizing newly developed part, and by the proper combination of the elements above.
To achieve this, SOA and its underlying middleware are necessary. WebOTX Enterprise Service Bus ESB virtualizes every system, resource, and application as services and controls these services, communication protocols, and message formats used for exchanging information among the services, while also managing sequences for executing multiple services. Example of system mediation using ESB.
What is Enterprise Service Bus (ESB)? - Definition from ininxiecito.tk
Efficient mediation of existing services WebOTX Enterprise Service Bus can use two message transform methods namely XSLT and a built-in Java application at the same time leading to messages among services being compatible and it flexibly handles these messages in various formats. Improving performance by three times that of the conventional technologies by using the high-speed XML analysis and conversion technologies provided by NEC.
Improving development efficiency by using the graphical development support tool WebOTX Developer provides development functions necessary to use WebOTX ESB, such as service virtualization, sequence design in a graphical environment, and implementation of XSLT and Java applications for message transform.
This improves the reliability and availability of ESB and achieves stable performance for a mission-critical system. Advanced path control enables easy switching of load balancing and integration target. When failure occurs in part of integrated system, failure path is partly disabled and switched to alternate system.
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- ESB Home - Neuron ESB - Enterprise Service Bus?
- WSO2 Enterprise Service Bus - The Only % Open Source ESB.
As a result, service is continued and availability is improved. As well, message distribution to multiple services previously using load balancer by load balancing can be realized by only WebOTX ESB. Service addition can be done dynamically, in addition, by function slow start to gradually increase processing message number of newly added path, new service is securely added avoiding heavy load immediately after start.
Larger view Improved availability by path control.
Failure localization of multiple Java VM. Sets up priority per integration target, and can preferentially do routing on important message. By controlling received message flow per integration target, delayed message delivery from heavy load can be prevented.