Case Study

HDFC

HDFC Bank’s Enterprise Payment Hub: Building a Cloud-Native, Multi-Cloud Payment Platform

Executive Summary

As one of India’s largest private sector banks, HDFC Bank processes massive volumes of digital payment transactions across multiple payment networks and channels. With customer expectations shifting toward always-on digital banking and real-time payment experiences, the bank recognized the need to modernize a payments infrastructure that had successfully served the organization for more than a decade.

To support future growth, resilience, and operational agility, HDFC Bank developed the Enterprise Payment Hub (EPH), a cloud-native, CNCF-powered payment platform designed to operate seamlessly across multiple cloud providers. Built on Kubernetes and an ecosystem of CNCF projects including Dapr, KEDA, Helm, OpenTelemetry, Prometheus, and Chaos Mesh, HDFC Bank standardized on open-source cloud native technologies to create a portable, resilient, and vendor-neutral payment platform. By leveraging CNCF technologies across application runtime, observability, autoscaling, and resilience engineering, the bank established a common operating model spanning multiple cloud providers.

Deployed across Google Cloud Platform and Amazon Web Services, EPH provides a cloud-agnostic foundation for mission-critical payment processing while enabling faster innovation, stronger resilience, and greater operational visibility.

This EPH(Enterprise Payment Hub) has been co-developed by the HDFC Bank and FynDNA.

Challenges:
Reliability, Scaling, Security
Industry:
Banking
Location:
India
Cloud Type:
Multi
Published:
July 22, 2026

Projects used

Prometheus logo OpenTelemetry logo Kubernetes logo KEDA logo Helm logo Dapr logo Chaos Mesh logo

By the numbers

99.999%

platform availability across multi-cloud deployments

40%

faster release velocity for new features, compliance updates, and security improvements

70%

reduction in recovery time objectives (RTO) with near-zero RPO disaster recovery capabilities

Challenge

For more than ten years, HDFC Bank’s payments infrastructure reliably supported the organization’s growing digital banking ecosystem. However, the rapid acceleration of digital payment adoption and the emergence of real-time financial services created new requirements that exceeded the assumptions of traditional architectures.

The bank needed to support increasingly unpredictable transaction volumes while maintaining uninterrupted service availability. Planned maintenance windows became increasingly difficult to accommodate in an always-on banking environment, while evolving regulatory requirements demanded stronger resiliency, auditability, and operational transparency.

The engineering organization identified several strategic objectives:

Meeting these goals required a fundamental rethinking of the bank’s payment platform architecture.

Solution

HDFC Bank designed and implemented the Enterprise Payment Hub (EPH), a cloud-native payment platform built around CNCF technologies, modern platform engineering practices, and a multi-cloud operating model.

Rather than simply replacing legacy systems, EPH was conceived as a strategic modernization initiative that would provide a scalable and resilient foundation for the bank’s future digital growth.

Kubernetes as the Multi-Cloud Foundation

Kubernetes serves as the orchestration layer for the entire platform, providing a consistent runtime environment across Google Cloud Platform and Amazon Web Services.

By standardizing on Kubernetes, the bank achieved:

This abstraction layer enables portability while minimizing cloud-specific dependencies.

Event-Driven Scaling with KEDA

Payment transaction volumes can fluctuate significantly during seasonal peaks, promotional events, and market-driven surges.

To support these dynamic workloads, HDFC Bank implemented KEDA for event-driven autoscaling. Services automatically scale based on business events and workload characteristics including transaction throughput, queue depth, and event stream activity.

This approach allows infrastructure consumption to align closely with real-time demand while maintaining performance during peak transaction periods.

Simplifying Distributed Systems with Dapr

As the platform evolved toward microservices, the engineering team adopted Dapr to standardize common distributed systems patterns.

Dapr provides reusable capabilities for:

By abstracting these concerns into the platform layer, application teams can focus on business functionality rather than infrastructure complexity.

Standardized Deployment Automation with Helm

Helm was selected as the deployment and packaging standard for all services within the platform.

The use of Helm enabled:

Cloud-specific configuration was externalized to support true build-once, deploy-anywhere portability.

Observability by Design

Observability was embedded into the platform from the earliest stages of development.

OpenTelemetry provides standardized telemetry collection across services, while Prometheus powers monitoring and alerting. By adopting CNCF technologies and open standards, HDFC Bank established a consistent observability framework across Google Cloud Platform and Amazon Web Services, avoiding proprietary instrumentation approaches and simplifying operational visibility across environments.

The observability stack integrates with Grafana and Dynatrace to provide a unified operational experience across cloud environments.

Resilience Validation with Chaos Engineering

To validate resilience assumptions under real-world conditions, HDFC Bank adopted Chaos Mesh as part of its engineering practice.

Teams regularly execute controlled failure scenarios including:

This proactive testing approach enables teams to continuously verify disaster recovery readiness and strengthen system reliability.

Distributed SQL with YugabyteDB

At the data layer, EPH uses YugabyteDB to provide a distributed SQL foundation capable of supporting mission-critical payment workloads.

Key capabilities include:

These characteristics ensure strong consistency while maintaining high availability across distributed environments.

Event-Driven Architecture with Kafka

Kafka provides the backbone of the platform’s event-driven architecture.

By decoupling services through asynchronous messaging, the platform improves scalability, resilience, and operational flexibility while supporting high-volume payment processing workloads.

Durable Workflow Orchestration with Temporal

Temporal was implemented to orchestrate end-to-end payment workflows across distributed services.

The platform leverages Temporal to coordinate complex payment processes while ensuring reliable execution, fault tolerance, and workflow durability even during infrastructure disruptions.

Multi-Cloud Deployment Architecture

One of the defining characteristics of EPH is its active-passive multi-cloud deployment model spanning:

The architecture enables workload portability and cloud independence while supporting business continuity objectives. Future enhancements will extend this model toward active-active operation.

Why CNCF Technologies

HDFC Bank evaluated its modernization strategy with a focus on portability, resilience, ecosystem maturity, and avoidance of proprietary cloud lock-in. CNCF technologies provided a consistent set of open standards and community-supported projects that could operate across cloud environments while maintaining operational consistency.

The bank selected Kubernetes as its foundational platform and expanded its architecture using CNCF projects for autoscaling, observability, application runtime abstraction, deployment management, and resilience testing. This approach enabled teams to build a unified platform engineering model that remained cloud agnostic while benefiting from a rapidly evolving open source ecosystem.

Impact

The Enterprise Payment Hub has delivered measurable improvements across reliability, operational efficiency, scalability, and disaster recovery.

Five-Nines Availability

The platform consistently delivers 99.999% uptime, reducing annual downtime exposure to less than six minutes while significantly improving customer experience and transaction reliability.

Zero Planned Downtime

HDFC Bank eliminated maintenance windows for:

These activities can now be performed without customer-facing service interruption.

Faster Software Delivery

By standardizing deployment, observability, and scaling practices around CNCF technologies including Kubernetes, Helm, KEDA, and OpenTelemetry, HDFC Bank improved release velocity by more than 40% while reducing operational complexity.

Enhanced Disaster Recovery

The multi-cloud architecture improved recovery performance through:

These improvements strengthen business continuity for critical payment operations.

Proven Resilience

Chaos engineering exercises demonstrated approximately 99% successful automated recovery across injected failure scenarios, validating the effectiveness of Kubernetes orchestration, distributed workload management, database failover mechanisms, and network recovery processes.

Operational Excellence Through Observability

The unified observability platform produced measurable operational gains, including:

Engineering teams now have greater visibility into service dependencies, transaction flows, and operational performance.

True Cloud Portability

The platform supports deployment across cloud environments without requiring application-level code changes, reducing vendor lock-in while improving flexibility for future regulatory and infrastructure requirements.

Rather than adopting a single platform vendor, HDFC Bank leveraged a collection of interoperable CNCF projects that work together as part of the broader cloud native ecosystem. This approach allowed the organization to combine best-of-breed capabilities for orchestration, autoscaling, observability, deployment automation, and resilience engineering while maintaining flexibility for future architectural evolution.

Future Plans

HDFC Bank plans to continue expanding its adoption of CNCF technologies as part of its cloud native modernization roadmap, evaluating additional ecosystem projects that can further enhance platform automation, security, observability, and operational resilience. HDFC Bank continues to expand the Enterprise Payment Hub as a strategic platform for digital payments.

Key roadmap initiatives include:

As digital payments continue to grow in scale and complexity, the Enterprise Payment Hub provides HDFC Bank with a cloud-native foundation capable of delivering resilience, agility, and innovation at enterprise scale.