Share data with Mule ESB
Share data with Mule ESB
Mule ESB is an enterprise service bus that allows you to integrate with systems and organize data exchange between them with minimal development costs.
What tasks can you do with Mule ESB
Organization of data flows
between different information systems.
Scaling the architecture
at no additional cost: starting by “combining” just a few systems, eventually expand the functionality of the enterprise service bus by adding more and more services and systems to it.
Sharing data exchange
between applications to the transport layer and the business logic layer. The result is a simplified support and modernization of the project's IT infrastructure.
Changing the logic of interaction
services and applications using a graphic editor — without involving developers and spending time on additional development.
Mule ESB features
1
Creating and hosting services
Mule Studio makes it possible to build integration solutions using a special studio (graphic editor). Mule Studio helps you design all kinds of components for integration solutions: connectors, transformers, routers, processors — and visualize their interconnection. Components can be combined and combined into flows of information into external systems.
2
Systems and applications management
The Mule ESB service bus provides the ability to monitor event statuses and receive messages when problems occur. The Message Flow Analyzer app from Mule allows you to quickly respond to problems and see project KPIs. You can restrict access to the control panel according to the specified roles of employees.
3
Separating business logic from message nuances
The Mule ESB service bus allows services not to waste time defining message formats from services and message delivery protocols. This makes it possible to separate the business logic of services from protocols and message formats, quickly develop integrations and coordinate work.
4
Routing and data exchange
Set rules or share data with Mule ESB. If necessary, data streams can be filtered by specified parameters, combined and reordered. With the Mule service bus, you can deliver both synchronous and asynchronous events, transactions, and data streams.
5
Data conversion
The standard situation on the project: each system uses its own data transfer format (for example, some have XML files, others have JSON) and their transformations (for example, in “1C” the color is “red”, and on the site you need to specify “#FF0000” or “red”). But when integrating, it is necessary to set up data exchange between systems, taking into account the specifics of each connection. Mule ESB allows you to graphically define rules for converting data from one format to another.
Contact us and we will calculate the time and cost of implementing the ESB system
Mule ESB benefits
Scalability
As an enterprise service bus, Mule is designed to take into account the need for horizontal scaling. Mule ESB provides JUnit support, which makes it possible to create repeatable unit tests for integrations and immediately incorporate them into a continuous build.
Single information field
The Mule ESB service bus makes it possible to create a single information space for the entire IT infrastructure of the project and organize data flows between systems and applications.
On-premises and/or cloud solution to choose from
Both local and cloud deployments have their pros and cons. Mule ESB can work with any of these approaches, including a hybrid one. Moreover, regardless of the deployment method, there is no need to learn new instructions or refine the code by developers.
ESB system implementation cases
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We have developed a single API to quickly connect 200+ 1C:Retail systems
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Integration of Kafka into the project's enterprise infrastructure
Integration of Kafka into the project's enterprise infrastructure
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Contact us and we will calculate the time and cost of implementing the ESB system
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Project Calculator
- Preparation of a map of systems and data flows (SOA scheme);
- We will work out exchanges on key entities;
- Creating connectors for exchanging data for each stream on 3 stands (test, preprod, prod);
- Setting up to three dashboards per connector within a ready-made monitoring circuit;
- Documentation on copying integration, reusing, and maintaining;
- Demonstration of the implemented functionality.
- Preparing the infrastructure for connectors to operate;
- Setting up the monitoring and logging circuit;
- Creating connectors (storage - receiver) for exchanging data on each high-load stream (>100 messages per minute) on 3 stands (test, preprod, prod);
- More than 15 attributes for each stream;
- The cost of computing resources (subscription only);
The calculator calculates using an accurate but simplified formula. The scope of work for your project and the final cost may vary. The final calculation will be made by your personal manager.
Калькулятор считает по точной, но упрощенной формуле. Состав работ по вашему проекту и конечная стоимость могут отличаться. Итоговый расчет сделает ваш персональный менеджер.
1
Calculation example
To transfer data between systems, we create a “stream”. Some streams are needed to send data, while others are needed to receive data. Orders, goods, or other entities may be transferred in a separate stream.
For example, on the diagram:
1. The “Merchandise Management System” sends goods. “Warehouse management system” is the fact that an order has been shipped. “Order Management System” — orders. In total, the systems will send 3 streams;
2. The Warehouse Management System accepts goods and orders. “Order management system” — goods and the fact that the order has been shipped. In total, the systems will receive 4 streams.
2
Scope of work in the calculator
Included in the calculation
Additionally
Preparing a map of systems and data flows (SOA scheme)
Preparing the infrastructure for connectors to operate
Development of object logic (connector business process diagram)
Setting up a monitoring and logging loop
Creating connectors for exchanging data for each stream on 3 stands (test, preprod, prod)
Creating connectors (storage - receiver) for exchanging data on each high-load stream (>100 messages per minute) on 3 stands (test, preprod, prod)
Set up to three dashboards per connector within a ready-made monitoring circuit
Over 15 attributes per stream
Documentation on copying integration, reusing, and maintaining
Demonstration of the implemented functionality
Included
Preparing a map of systems and data flows (SOA scheme)
Development of object logic (connector business process diagram)
Creating connectors (source - storage, storage - receiver) for exchanging data on each object on 3 stands (test, preprod, prod)
Set up to three dashboards per connector within a ready-made monitoring circuit
Over 15 attributes per object
Additionally
Preparing the infrastructure for connectors to operate
Setting up a monitoring and logging loop
Creating connectors (storage - receiver) for exchanging data on each high-load object (>100 messages per minute) on 3 stands (test, preprod, prod)
Over 15 attributes per object
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