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Top 3 CTO Approaches for Cloud Migration and Modernization Using Microservices Focused DevOps with Continous Testing



Cloud migration and data modernization requires a DevOps approach that revolves around Microservices. This means organizing teams around the capabilities of the business and domain logic instead of a specific technology stack. While we often come across teams that are UI based or Middleware based or Database based, our DevOps Teams are delivery centred and focused around specific Microservices.


API-First DevOps Practice to Speed Up Continous Integration

To enable a culture of Continous Integration DevOps teams must possess hands-on expertise in using tools such as GitHub for source collaboration, Atlassian for issue tracking, or using Jenkins for build version tracking. However, to speed up the rate of delivery and continuous innovation, an API-First strategy and expertise can be the gamechanger that your team needs.

Discover how we use our expertise for running sprints to decouple components, identify reusable components (Databases & Codes) to build Miicroservices API, Test the APIs, and launch new releases using time-bound sprints.

Our Legacy Integration specialists will not only identify the right data pipelines, but also speed-up the launch of new functionalities using No-Code API plugins.

DevOps Teams

Top 3 Choices for CTOs Looking to Modernize Monolithic Systems:

1. Encapsulation: Leverage and extend the application features by encapsulating its data and functions, making them available as services via an API.

By encapsulating data and functions related to personal financial management and peer-to-peer payments, a Bank’s services can be enhanced by extending delivery through digital banking applications while maintaining modularity, scalability, and efficiency.

This approach ensures that the application remains flexible and adaptable to future enhancements and regulatory requirements, ultimately delivering greater value to its customers.

Use Case: Extending Digital Banking Application Features

Current State:

Digital Banking Application: Provides basic functionalities like account management, funds transfer, and bill payment.

Data Model: User, Account, Transaction.


Extend Features: Introduce personal financial management tools and peer-to-peer payments.

Encapsulation: Organize data and functions related to new features separately from existing ones.



2. Rehosting: Redeploy the application component to other infrastructure (physical, virtual or cloud) without modifying its code, features or functions.

By redeploying application component to a hybrid infrastructure, the bank gains the ability to leverage cloud resources for scaling applications horizontally and vertically. Redundancy across on-premises and cloud environments enhances application resilience and fault tolerance.

The Hybrid infrastructure allows the bank to optimize costs by leveraging on-premises resources for stable workloads. The bank retains the flexibility to adapt to changing business requirements and regulatory constraints without significant architectural changes.

Use Case: Redeploying Banking Application to Hybrid Infrastructure

Current State:

Banking Application: Hosted on-premises, serving customers with basic banking functionalities.

Monolithic Architecture: All components of the application are deployed together on physical servers.


Hybrid Infrastructure: Redeploy the banking application to a hybrid infrastructure consisting of on-premises servers and cloud services.

No Code Changes: Ensure that the existing codebase, features, and functions remain unchanged.



3. Replatforming: Migrate to a new runtime platform, making minimal changes to the code, but not the code structure, features or functions.

By migrating its banking application to a new runtime platform, the banking application can leverage auto-scaling capabilities to handle fluctuating user demand more efficiently. It Re-platforming through containerization and cloud-native architectures can result in faster deployment times and better resource utilization. Containerized applications are easier to maintain and update, leading to reduced downtime and faster time-to-market for new features. It also offers a pay-as-you-go pricing model, allowing the bank to optimize costs based on actual usage.

Use Case: Migrating Banking Application to a New Runtime Platform

Current State:

Banking Application: Monolithic architecture, deployed on traditional servers.

Legacy Runtime Platform: Aging infrastructure with limited scalability and performance.


New Runtime Platform: Migrate the banking application to a modern, cloud-native runtime platform.

Minimal Code Changes: Ensure that existing codebase, features, and functions remain largely unchanged.


Each of the above options can also lead to the following:

  1. Refactoring: Restructuring and optimization of existing codes to remove technical debt and improve nonfunctional attributes.
  2. Materially alter the code to shift it to a new application architecture and exploit new and better capabilities.

Key Steps Involved in Refactoring and Rearchitecting Code of Monolithic Systems

Code Review and Analysis:

  • Conduct a comprehensive code review to identify areas of technical debt, including redundant code, complex logic, and outdated dependencies.
  • Perform static code analysis and profiling to pinpoint performance bottlenecks and areas for optimization.


  • Prioritize refactoring efforts based on criticality and impact on nonfunctional attributes.
  • Refactor code using modern design patterns, SOLID principles, and best practices to improve readability, maintainability, and extensibility.

Performance Optimization:

  • Identify and optimize performance-critical sections of the codebase, such as database queries, algorithms, and resource-intensive operations.
  • Implement caching mechanisms, asynchronous processing, and parallelization to improve responsiveness and throughput.

Decomposition into Microservices:

  • Evaluate the feasibility of decomposing the monolithic application into microservices to enhance scalability and agility.
  • Identify cohesive and loosely coupled modules that can be extracted as standalone services.

Integration of Modern Technologies:

  • Integrate modern technologies and frameworks to leverage their capabilities for improving nonfunctional attributes.
  • Adopt containerization (e.g., Docker) and orchestration (e.g., Kubernetes) for better deployment, scaling, and management.

Automated Testing and Quality Assurance:

  • Implement automated testing suites (unit tests, integration tests, performance tests) to ensure code correctness and prevent regression.
  • Establish continuous integration and continuous deployment (CI/CD) pipelines for automated builds, testing, and deployment.

Documentation and Knowledge Sharing:

  • Document the refactored codebase, architectural decisions, and best practices to facilitate knowledge sharing and onboarding of new developers.
  • Conduct training sessions and code reviews to ensure adherence to coding standards and best practices.


Read More Case Studies on Continous Testing and Banking Domain Focused DevOps Practice

A top Federal Bank has used our DevOps expertise to speed-up the process of restructuring and optimizing existing banking application codebase. The client is now able to address accumulated technical debt and improve nonfunctional attributes such as performance, scalability, reliability, and maintainability.

Our approach to reusable codes and Microservices focused DevOps ensures that the application remains robust, efficient, and adaptable to evolving business requirements and technological advancements in the banking industry. With a modernized codebase, the Bank’s Credit Union is able to deliver a superior banking experience to its members while reducing operational costs and mitigating risks associated with the legacy system.



Sun Technologies DevOps

Below are two scenarios illustrating how we set up horizontal DevOps teams centred around microservices:

Scenario 1: Retail Banking Platform Modernization

Objective: The CTO of a large retail banking operations team aims to modernize its legacy banking platform to enhance agility, scalability, and customer experience.

Team Formation:

  • Product Teams: GlobalBank forms cross-functional product teams, each responsible for a specific retail banking capability (e.g., account management, payments, loans).
  • DevOps Teams: Within each product team, DevOps teams are horizontally aligned to focus on microservices-based development, deployment, and operations.

Organizational Structure:

  • Product Ownership: Each product team includes a product owner who represents the business stakeholders and prioritizes features and improvements for their respective capabilities.
  • Development, Operations, and QA: DevOps teams comprise developers, operations engineers, quality assurance specialists, and security experts, ensuring end-to-end ownership and collaboration.

Technology Stack:

  • Microservices Architecture: The Bank adopts a microservices architecture, breaking down monolithic banking applications into smaller, independently deployable services.
  • Containerization and Orchestration: DevOps teams use Docker for containerization and Kubernetes for orchestration, enabling efficient deployment, scaling, and management of microservices.

Process Standardization:

  • Agile and DevOps Practices: The Bank embraces agile principles and DevOps practices, fostering a culture of collaboration, automation, and continuous improvement.
  • CI/CD Pipelines: DevOps teams implement CI/CD pipelines for automated testing, integration, and deployment of microservices, ensuring rapid and reliable delivery.

Tooling and Infrastructure:

Cloud-Native Technologies: The Bank leverages cloud-native technologies and services (e.g., AWS, Azure) for flexible, scalable, and cost-effective infrastructure.

Monitoring and Observability: DevOps teams utilize monitoring and observability tools (e.g., Prometheus, Grafana) to track the performance, availability, and health of microservices in real-time.

Scenario 2: Corporate Banking Platform Transformation

Objective: The CTO of a large multinational bank seeks to transform its corporate banking platform to better serve large corporate clients and improve operational efficiency.

Team Formation:

  • Domain-Based Teams: The Bank forms domain-based teams aligned with specific business domains or products (e.g., trade finance, cash management, risk management).
  • DevOps Enablement Teams: DevOps enablement teams are horizontally aligned across domains, focusing on providing tools, practices, and support for microservices-based development and operations.

Organizational Structure:

  • Domain Experts: Each domain-based team includes domain experts, business analysts, and technical specialists with deep knowledge of corporate banking products and processes.
  • DevOps Specialists: DevOps enablement teams consist of DevOps engineers, infrastructure specialists, and platform architects who collaborate with domain teams to drive adoption of microservices and DevOps practices.

Technology Stack:

  • Service Mesh Architecture: The Bank adopts a service mesh architecture (e.g., Istio) to facilitate communication, observability, and security between microservices.
  • Event-Driven Architecture: DevOps teams implement event-driven patterns and messaging systems (e.g., Kafka) to enable asynchronous communication and decoupling between microservices.

Process Standardization:

  • Domain-Driven Design (DDD): The Bank embraces DDD principles to align software architecture with business domains, fostering modularity, and domain-driven development.
  • Chaos Engineering: DevOps enablement teams implement chaos engineering practices to proactively identify and mitigate system weaknesses and improve resilience.

Tooling and Infrastructure:

  • Self-Service Platforms: The Bank provides self-service platforms and toolchains (e.g., GitLab CI/CD, HashiCorp Terraform) to empower domain teams to build, deploy, and operate microservices autonomously.
  • Compliance and Security: DevOps enablement teams integrate compliance and security tools (e.g., SonarQube, Twistlock) into CI/CD pipelines to ensure adherence to regulatory requirements and best practices.

In both scenarios, banks leverage horizontally aligned DevOps teams centred around microservices to drive innovation, agility, and customer-centricity while ensuring operational excellence and regulatory compliance in a highly competitive banking landscape.

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