Conf42 Site Reliability Engineering (SRE) 2025 - Online

- premiere 5PM GMT

Scaling Financial Inclusion: SRE Practices for High-Performance Payment Systems in Emerging Markets

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Abstract

Discover how SRE transforms payment systems in emerging markets, delivering 99.95% reliability despite unstable networks. Learn practical techniques for scaling financial services to millions of unbanked users while maintaining security and resilience in challenging environments.

Summary

Transcript

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Hello everyone, and thank you for joining me. I'm excited to explore how site reliability engineering practices can power high performance payment systems in emerging markets. Now with the limited banking infrastructure, but widespread mobile use, these digital payments play a crucial role in bringing financial services to underserved communities. Let me move on to the next slide. Let's begin with an overview of the technical architecture that supports financial inclusion in these regions. I'll walk you through how various components like APIs, blockchain, and analytics and hybrid cloud edge setups come together to build a resilient payment ecosystem. Now the objective is to deliver a reliable, low latency transition transactions. I'm sorry, even in areas with intermittent connectivity. Moving on to the next slide. Emerging markets present a unique challenge, power outage, limited internet speeds and regulatory complexities. Now. For overcoming all these barriers, we need a fault tolerant design offline capabilities and adaptable compliance frameworks to navigate these obstacles. Now think of rural areas where two G or 3G networks dominate and power might be out for hours. Our systems must still function. Now that's where we are talking about reliability. Reliability metrics that really matter. The reliability metrics become essential in measuring how well we perform under these Haas conditions. Now, hybrid chlor cloud edge models often show near perfect reliability, but then processing locally and a synchronizing one's connectivity is risk stop. That kind of an approach is very good for in these kind of situations of these. Further, these approaches help maintain 97 percentage or higher transaction success rates, which already impacts trust and user adoption in underserved areas. Moving on, let's look at specific SRE practices that have driven significant improvements in reliability. All of these concepts are very important for reliability, like we were talking about in the previous slides, where there are several other infrastructure situations that we'll have to take take care of now, advanced observability and distributing tracing across all the services and helping pinpoint issues and complex heterogeneous environments all those things is very important in this aspect. And again, automated remediation. And how engineering prepare our systems to self-heal and recover from regional failures. That is very important in the situation where we are talking about power infrastructure not being available for multiple hours. Now, coupled with procession, SLOs, these strategies have cut payment failures by over 60 percentage. We move on to the next slide. So to implement these SRE strategies effectively, we follow a phased roadmap. First, we establish a baseline metrics and simple monitoring. Then we introduce distributor tracing and AVA testing. Finally, we move to AI driven productive analytics. Now, this approach provides incremental wins while steadily advancing towards a robust mature reliability. Cultural change is equally important. Reliability champions must be embedded in dev teams, so that is equally as permanent as the other aspects of this. Moving on, SRE in emerging markets also calls for a context adjusted SLIs in SLOs. For instance a 99.95% success rate might be adjusted to 97 percentage in rural zones where connectivity is beyond our control Now, ensuring fairness and realistic targets just to make sure you have a fair ground to play. Now we pay tailoring these service level objectives to real world conditions. We keep teams motivated and still accountable for what they can influence. Moving on. AI powered capabilities amplify our resilience, shifting from reactive to predictive reliability. Now mission learning flags, unusual transaction patterns, readouts data around poor networks and blocks a suspicious activity in real time. With ai, up to 87 percentage of the potential incidents are caught before the effect uses. That's a very huge jump from threshold based systems. Now let's examine a real world case. Wherein we are talking, we are gonna talk about a rural healthcare payments platform. This was one of the very important and widely recognized implementation world case. That real world case that was discussed in several areas. Serving millions of patients under two G connectivity and frequent power autos. They've applied offline first architecture and regional SLOs. The result transaction reliability sold from 78 percentage to over 99 percentage, which is almost a hundred percentage. And patient satisfaction jumped significantly, which is crucial in this aspect. So for a technical deep dive service, mesh architectures have shown tremendous values in these payment environments. Oh, where starting networking, security observability of mesh empowers apps to focus on business logic, even in a hybrid or legacy system. Now in several cases, incident resolutions has become 83 percentage faster, and security incidents dropped by 76 percentage. Once policies were uniformly enforced across all services, now that uniformity accounts for making sure that your systems are robust, that performance oriented, and you have a very highly secure system. Moving on. I just wanna quickly wrap up with some key takeaways for tech leaders aiming to become, bring financial services to emerging markets. First, adapt, SRE Best practices to local realities. Use the region specific SLOs and offline capabilities like we were talking about, how to make sure we have a fair play on for every one of us that. Secondly, design for resilience in corporate edge computing, caching, and robust synchronization. Third, remain user centered reliability, must directly enhance financial inclusion. Lastly, adopt a phased approach to implementation, and these will make sure we have a great implementation in place. So finally, thank you. Thank you so much for your attention. I appreciate your time and I hope these strategies for context of our SRE help you build reliable, inclusive, and payment systems. If you have any questions or would like additional details, please let me know and be allowed to discuss and how we can collaborate to advance financial inclusion in challenging environments. Thank you very much. Bye.
...

Utham Kumar

@ Nanyang Technological University



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