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

How Can Outbound Lead Gen Reduce B2B Acquisition Costs?

Business enterprises operating in the competitive B2B marketplace are currently facing a significant escalation in customer acquisition costs due to digital saturation and longer sales cycles. As organizations strive to maintain healthy profit margins, the efficiency of traditional inbound marketing has waned, leading to a renewed focus on outbound lead generation services. These professional services provide a direct and controlled

Nigeria Probes 1,369 Entities in Massive Data Privacy Crackdown

The sudden realization that sensitive biometric information and national identity numbers are being traded in clandestine digital marketplaces for less than the cost of a bottled soda has forced a dramatic reevaluation of Nigeria’s digital security protocols. As the nation accelerates its transition into a fully integrated digital economy, the Nigeria Data Protection Commission (NDPC) has identified a significant gap

ChatGPT Becomes Fastest App to Reach One Billion Users

The rapid ascension of conversational artificial intelligence into the daily routines of a global population has culminated in a historic achievement as ChatGPT officially surpassed the one billion user mark in record time. The milestone marks a significant pivot in how digital services scale, dwarfing the adoption rates of previous social media giants and productivity suites. This explosive growth stems

Ethereum Faces 2026 Market Correction and Bearish Sentiment

The current valuation of Ethereum has retreated significantly from its historical peaks, signaling a cooling phase that has caught many retail and institutional participants by surprise. As the asset hovers around the $1,646 threshold, the general sentiment within the digital finance community has shifted toward extreme caution, reflecting a broader retreat from high-volatility investments. This market correction serves as a

Why Is Private Cloud the Foundation for Production AI?

The sudden migration of artificial intelligence from experimental research labs to the very heart of mission-critical corporate operations has fundamentally altered the technological requirements for modern digital infrastructure. Enterprises that once treated cloud selection as a matter of simple convenience now recognize that the residence of sensitive workloads is a high-stakes strategic decision that impacts everything from data security to