Kubernetes provides the elastic infrastructure needed to scale dynamically during insurance spikes while enforcing standardized controls, but its ephemeral and distributed nature requires a precise architecture to ensure cost optimization and strict compliance don’t bottleneck engineering velocity.
Explores what actually changed in React Native 0.76+, why the migration path differs for fintech products, and how engineering teams can approach performance optimization, security re-validation, and staged rollout planning with lower operational risk.
What it actually takes to build a competitive banking app in 2026: the features that matter, the architecture decisions that shape everything downstream, the compliance requirements you cannot defer, and the delivery approach that separates teams that launch from teams that scale.
We will share a practical perspective on how modern eWallet platforms approach fraud detection with machine learning. Drawing on industry practices and implementation experience, it aims to outline what it takes to build systems that are not only accurate, but also resilient, scalable, and aligned with real-world operational constraints.
In this article, we’ll break down where generative AI is delivering proven value in fintech today and how to build a path toward it.
Fintech Development Outsourcing in Vietnam is examined in depth: its talent, cost advantages, engagement models, best-suited domains, and leading partners.
The pattern is consistent: success rarely depends on a single breakthrough decision. It’s the result of getting foundational choices right early, especially when selecting a development partner.
At Sun*, during the process of working with clients’ fintech mobile apps, we found the hard truth that mobile is not a constrained browser. It’s a compiled binary running on hardware you don’t control, inside a runtime environment that a motivated attacker can instrument and manipulate at a depth no web session ever exposed.
At Sun*, we work with financial institutions navigating exactly this inflection point. In this article, we break down the strategic framework for deciding which technology layers to own, which to buy, and what the stakes of getting it wrong look like in 2026.
In this article, we break down what AI underwriting is, where traditional approaches fall short, and how machine learning transforms each step of the underwriting process.
