MetLife Asia Boosts Efficiency by Integrating Azure DevOps into Workflow

In an era where technological advancements dictate the pace of industries, MetLife Asia has taken a significant step forward by integrating Azure DevOps into its software development cycle. This strategic move has not only improved efficiency but also enhanced the quality of development and deployment processes. The transformation was spearheaded by MetLife Asia’s CIO, Siew Choo Soh, who revealed that with the adoption of Azure DevOps, the time for automated tests and builds has dramatically decreased from nearly eight hours to under an hour. This impressive reduction in time is just one of the many benefits of transitioning to a DevOps framework. The integration of regularly scheduled scans has also played a crucial role in improving code quality and promptly addressing vulnerabilities, saving approximately 15 minutes per build per developer and enabling earlier error detection.

Expanding Services Across Regions

MetLife Asia provides vital insurance services in several countries, including Australia, China, India, Japan, Malaysia, and Vietnam. Their development efforts primarily concentrate on crafting Java and ReactJS mobile applications for essential functions such as policy registration, profile updates, policy inquiries, and claim submissions. Additionally, they have developed applications that support value-added services like scheduling doctor appointments and facilitating direct video calls with doctors. Previously, MetLife relied heavily on manual testing processes, a practice that resulted in significant inefficiencies, with builds taking as long as eight hours and errors often being detected only after deployment. This hampered their ability to meet growing customer demands quickly and accurately, thereby necessitating a revolutionary change in their development cycles.

By adopting Azure DevOps, MetLife aimed to address these inefficiencies and streamline their software development lifecycle. The goal was to standardize build pipelines to include a continuous integration and deployment (CI/CD) approach, allowing for more scalable and efficient deployments across regions. Azure Boards played a critical role in ensuring efficient project management, while Azure Repos provided scalable Git repositories for source code management. Azure Pipelines automated the build and deployment processes, simplifying the task of deploying applications to the target environment seamlessly. This unified approach not only improved productivity but also significantly bolstered application deployment security by adhering to standardized, automated processes.

Enhancing Development Security Operations

The integration of Azure DevOps into MetLife’s workflow significantly enhanced their development security operations (DevSecOps). Developers aimed to align with industry standards regionally to ensure their applications met rigorous security requirements. Before Azure DevOps, the growth in application size and number challenged scalable and secure development. The new DevOps framework offered a comprehensive solution, automating quality checks and integrating security models into the build pipelines, ensuring higher reliability and consistency in deployments.

Teams adopted a test-and-learn approach to refine processes, making standards implementation seamless. The full adoption of Azure DevOps took six months, granting end-to-end traceability. This enabled MetLife to better protect customer information, access real-time updates and performance trends for releases, and make faster, more informed decisions. Soh emphasized the company’s commitment to evolving its infrastructure and processes, showcasing a proactive approach to growth in a competitive industry.

The successful Azure DevOps integration has made MetLife Asia a leader in the insurance industry’s tech evolution. Leveraging Azure DevOps, MetLife has increased efficiency and quality in their development cycles, paving the way for innovation and improved customer satisfaction. This strategic move underscores MetLife’s commitment to a secure development environment while enhancing services to meet ever-changing customer needs.

Explore more

Is the Mistic Backdoor Hiding in Your Security Tools?

Introduction The emergence of the Mistic backdoor represents a sophisticated advancement in the arsenal of modern cybercriminals, specifically those operating within the niche of Initial Access Brokering (IAB). This malicious software, also identified by some security researchers as MLTBackdoor, has been actively infiltrating corporate environments throughout the first half of 2026. Its primary strength lies in its ability to camouflage

Is the Redmi 17C the New King of Budget Smartphones?

Dominic Jainy is a seasoned IT professional with a deep understanding of how hardware evolution impacts the budget mobile market. Today, he breaks down Xiaomi’s latest strategic move with the Redmi 17C, a device that surprisingly leaps over a generation to deliver high-refresh-rate displays and massive battery life to the entry-level segment. We explore the balance between essential utility features,

How Can PowerTool Speed Up Business Central Data Migrations?

Modern enterprises frequently encounter significant friction during ERP transitions because traditional data migration methods often fail to accommodate the sheer volume and complexity of contemporary datasets. In 2026, the demand for agility within Microsoft Dynamics 365 Business Central has reached a point where standard configuration packages, while functional for small tasks, often act as a bottleneck for larger implementations. The

How to Move Beyond the Portal to a True Developer Platform?

Dominic Jainy stands at the forefront of the modern cloud-native movement, possessing a deep technical mastery of artificial intelligence, machine learning, and blockchain architectures. With years of experience navigating the complexities of large-scale IT infrastructures, he has become a leading voice in the evolution of platform engineering. His perspective is shaped by the practical realities of moving beyond simple automation

Will AI Token Costs Soon Surpass Developer Salaries?

Recent financial projections indicate that the cost of maintaining high-frequency artificial intelligence interactions is rapidly approaching the median annual compensation of experienced software engineers in the global market. As the software development industry undergoes a radical transformation, the traditional overhead associated with human labor is being challenged by the sheer volume of data processed through large language models. This shift