ESB — integrations between applications
We develop and support enterprise integrations between pay-as-you-go systems
50 streams in 6 months
We developed 50 streams for a large trading holding within 6 months from the beginning of the discussion and collection of requirements to commissioning.
No support costs
No technical support is required after commissioning. We do it well the first time.
200+ successful enterprise flows
using different tools.
When you're inside processes, it can be difficult to devote enough time and expertise to change. More urgent “last minute” tasks require your attention.
It is long and expensive to add new systems to the IT circuit
as a result, the company has fewer innovations. You can't choose the best solution because you're limited by time, or the stack, or the instability of integrations.
The development team is not engaged in development, but in “extinguishing fires”.
Investigating the causes of the failure requires a highly qualified developer and is not delegated to technical support operators. Developers are burning out, but there are no new values.
The architecture has a single point of failure.
When one system fails, another (or several at once) “crashes”.
We have to choose situational solutions rather than build the right architecture
It's hard to do something new and right; you'll have to hand it all over, which is time-consuming, expensive and unpredictable.
Information in systems is inconsistent
In end systems, data is of poor quality and contradictory, and it is difficult to work with suppliers and buyers.
Integrations are inseparable from the product
To fix the integration, you always need a developer for this product. You can't replace the system at will — this triggers a cascade of problems.
Endpoint systems are forced to process redundant data
You have a “universal package” that contains all product data. CRM processes inventory every time, WMS processes media files, etc. The systems are overloaded.
1
They never lose information
The ESB layer stores the entire message history and data transmitted by systems. Even if the end system didn't receive one (or a thousand) messages, it's easy to recover them with minimal developer involvement.
Integrated monitoring makes it possible to localize errors.
2
Easy to outsource maintenance to technical support operators
ESB is a self-documenting layer with built-in monitoring, built on low-code principles. A technical support operator can easily isolate a problem when it occurs and, using instructions, fix it.
3
Quickly connect new systems
The service bus has rapid development tools, consisting of a large palette of pre-programmed actions, for example:
A few days are enough to connect new systems.
To facilitate the connection of new systems, before starting a project, we conduct a pre-project study, plan flows and draw a map for connecting existing and new systems.
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4
Compatible with cloud and on-premises solutions
Advanced ESB tools have ready-made connectors for working with many cloud and on-premises systems. Even if you don't have a ready-made connector, it's quite easy to create one. The tool does not limit your choice of application type, vendor, language, or framework.
5
Safe and controllable for any expert
All actions with messages are visualized and easy to understand: subject to basic naming rules, any business analyst can quickly understand how integration works and what needs to be changed. At the same time, the integration code can be packaged and deployed in a stand-alone service (JAR or Docker image).
6
They provide integrations with marketplaces
The presence of an ESB layer in the enterprise's IT circuit makes it possible to simplify the logic of integrations with external systems, for example, marketplaces. Integrations through the ESB layer can be developed up to 16 times faster than code integrations. Changes in internal systems and marketplaces will trigger minimal improvements. The final systems that store information about goods, prices and inventory balances do not have to be modified or complicated.
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We have collected all the mistakes in integrations,
for you not to
make them
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A supplier portal was developed for the Fix Price network and automated the work with product data
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We have developed a single API to quickly connect 200+ 1C:Retail systems
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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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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