Cloud-Native Re-Architecture

Success Story

Microservices-Based Architecture for a Customer Communication Platform

We helped a company to change its infrastructure management approach from manual to automated and applied best practices of IaC (infrastructure as code).

2X faster

deployment of new features with modernized CI/CD.

30% cut

in infrastructure cost by migrating to Kubernetes pods.

Technologies

Java

Apache Kafka

Kubernetes (K8s)

Terraform

RabbitMQ

AWS

Spring (Boot/Framework)

Expertise

Microservices

Infrastructure as code

Event-driven architecture

CI/CD

Cloud/AWS

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Monolithic risk mitigation

Mitigate risks associated with maintaining a Tier 1 service on a monolithic architecture by transitioning to an event-driven architecture.

Productivity enhancement

Accelerate response to business needs, swiftly enabling new communication channels like emails, texts, or push notifications within days instead of weeks.

CI/CD and standards

Improve CI/CD processes and adherence to Engineering Standards, including the use of standardized pipelines and Confluent Cloud for efficient operations.

Consolidation

Consolidate business logic in a centralized location for streamlined management.

Operational costs

Reduce the infrastructure costs by migrating from EC2 instances to Kubernetes (K8s) infrastructure.

Decoupling channels

Decouple communication channels to enable independent activation without affecting other business units.

Legacy dependencies

Eliminate dependencies on legacy services, ensuring uninterrupted service provision even during legacy system failures.

Business objectives

Introduce new services to support enterprise-wide initiatives like E-concessions (Marketplace).

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Monolith refactoring expertise

We provided the strategic leadership and practical blueprints necessary to de-risk the transition from a monolithic legacy system to a modern, event-driven architecture, avoiding common pitfalls associated with large-scale retail transformation.

Ownership and commitment to delivery

Our engagement model established full accountability and ownership for achieving the client's financial and performance goals. We committed to delivering measurable operational expense reduction alongside platform stability and superior performance.

Zoolatech is a senior-heavy engineering firm with Silicon Valley roots and a Miami HQ, specializing in legacy modernization, system re-architecture, and AI deployment to drive long-term, compounding value.

2017

Year Founded

600+

Employees

96%

Client Satisfaction

Phase 1

Architecture modernization

The project endeavors to modernize the existing infrastructure, aligning it with contemporary architectural principles to bolster performance, agility, and cost-efficiency while mitigating operational risks.

Phase 2

Legacy transformation

To this end, they needed to modernize an existing legacy system by transforming the monolithic architecture into an event-driven one.

Phase 3

Event integration

Integrate business and communication events to unlock valuable customer insights.

Phase 4

Communication triggers

Implement communication triggers based on factors like urgency and priority, allowing for prioritized delivery of critical communications, such as Multi-Factor Authentication (MFA) and customer verifications.

Phase 5

Operational cost savings

Improve autoscaling capabilities to enhance efficiency and cost-effectiveness.

Phase 6

Team productivity

Boost productivity and reduce on-call hours for the engineering team to save operational expenses.

The legacy modernization unlocked seamless integration, faster decisions, and a scalable platform for sustainable growth.

Architecture transformation

Additionally, we divided all business logic components into microservices, which improved the service's security.

IaC implementation

We transformed the infrastructure management approach from manual to automated and implemented the best practices for Infrastructure as Code (IaC).

Cost optimization

We achieved a cost reduction of approximately 30% by utilizing Kubernetes pods instead of EC2 instances.

Automation and standardized infrastructure reduced operational overhead, improved reliability, and freed engineering teams from manual maintenance tasks.

Deployment speed

The successful transition to a standardized CI/CD pipeline integrated with the new microservices architecture resulted in accelerating the deployment of new features by 2 times. Engineering teams can now respond to business requirements and market changes much faster, measured in days instead of weeks.

Cost reduction

By migrating its infrastructure from legacy EC2 instances to a highly efficient, containerized Kubernetes (K8s) environment, the company achieved a 30% reduction in costs. This represents significant long-term operational savings while simultaneously increasing platform performance.

Scaling speed

The implementation of Infrastructure as Code (IaC) and the adoption of K8s dramatically improved resource elasticity. Scaling speed improved by 6 times, allowing the platform to handle peak retail traffic events and unforeseen load spikes automatically and cost-effectively.

Infrastructure management

We helped the company change its infrastructure management approach from manual to automated and applied best practices of IaC (infrastructure as code).

Security and cost

All business logic components were split into microservices, which improved the service's security. Additionally, cost savings were achieved by transitioning to using K8s pods instead of EC2 instances, reducing costs by around 30%.