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HOW BANKING GIANT ING IS FUTURE-PROOFING PAYMENT PROCESSING WITH ELASTIC

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Lieven Merckx

28. Januar 2022
English简体中文한국어日本語FrançaisDeutschEspañolPortuguêsDeutsch

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ING Group is a Dutch-based multinational banking and financial services
corporation serving more than 38 million customers globally. It’s one of the
biggest banks in the world, and consistently ranks among the top 30 largest
banks globally.

Our 20-year-old COBOL-based financial messaging system — which provides
electronic instructions to enable financial transactions between banks and
customers — is slowly becoming obsolete and difficult to integrate. COBOL is
declining in popularity among developers, and many programmers with COBOL
experience are retiring or will soon.

In addition, we’re seeing competition from fintech startups that are lowering
the cost of financial messaging while at the same time accelerating processing
times.

To ensure ING continues as a global financial leader, it became imperative for
us to build a new cloud-technology based financial messaging system to
facilitate financial transactions between banks, customers, and third parties.

The Belgian branch of ING was tasked with the challenge of building this from
scratch. We chose Elastic because we wanted to future-proof the mission-critical
payments processing platform with a widely used technology that scales well as
we add more customers and increase load.

Choosing this solution was natural because ING’s global headquarters is working
on providing the Elastic Stack as a Service to the rest of our organization to
capitalize on the many use cases and value that can be achieved with Elastic.



WHAT IS FINANCIAL MESSAGING?

Financial messaging is a niche and specialized activity in payment processing.
It’s a complex and quickly evolving ecosystem where fast and guaranteed delivery
is crucial to the success of ING and its customers.

A financial message, in its most basic form, is one that tells one bank to
transfer money. Payment messages, which ING routes through the SWIFT Network to
external banks, include just about any type of monetary transaction you can
imagine. ING is processing 1.5 million financial messages in at least 200
different formats every day with our COBOL platform.




Overview, above, of the ING Financial Messaging System



Lapses in the message flow must raise alerts and require diagnostic and
resolution of issues in a timely manner. Fixing lags quickly is critical —
payments between banks are settled every day, and any miss of cutoff times can
lead to financial loss.

Under the new system with messaging data stored in Elasticsearch, Elastic APM
and Kibana help us answer and visualize those questions quickly, which in the
end increases customer loyalty and trust.

The log data surrounding financial messaging must be stored for 10 years to
comply with data retention regulations. These logs are ingested with Logstash
and stored in Elasticsearch. The data is available to detect illegal activity,
assure delivery, and to settle disputes and other issues. Messaging is up and
running 24/7 around the globe.


ELASTIC IS PART OF ING’S TECHNOLOGY STACK

Our ongoing upgrade to the Elastic Stack is necessary for reasons beyond
competition from startups and COBOL’s decline. That’s because our on-premises
platform is becoming less interoperational with the technologically-evolving and
ubiquitous SWIFT Network, which is leveraged by banks across the globe, and also
uses Elastic.

For now, the newly developing messaging system is mirroring our operating COBOL
platform. This way, we can test, with the assistance of Elastic Observability,
for backwards compatibility to ensure that the new financial messaging system
behaves the exact same way as our legacy system.

What this means is that Elastic is not only a backbone component of our new
payment processing system, but is also monitoring whether this new payment
system is mirroring and backwards compatible with our COBOL system.

This flexibility of Elastic gives us great confidence that the upcoming
migration to the new system will be as low-risk as possible.




Diagram, above, of how ING uses the Elastic Stack to test for gaps between the
bank’s legacy and new financial messaging system.


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