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

Agentic AI Redefines the Software Development Lifecycle

The quiet hum of servers executing tasks once performed by entire teams of developers now underpins the modern software engineering landscape, signaling a fundamental and irreversible shift in how digital products are conceived and built. The emergence of Agentic AI Workflows represents a significant advancement in the software development sector, moving far beyond the simple code-completion tools of the past.

Is AI Creating a Hidden DevOps Crisis?

The sophisticated artificial intelligence that powers real-time recommendations and autonomous systems is placing an unprecedented strain on the very DevOps foundations built to support it, revealing a silent but escalating crisis. As organizations race to deploy increasingly complex AI and machine learning models, they are discovering that the conventional, component-focused practices that served them well in the past are fundamentally

Agentic AI in Banking – Review

The vast majority of a bank’s operational costs are hidden within complex, multi-step workflows that have long resisted traditional automation efforts, a challenge now being met by a new generation of intelligent systems. Agentic and multiagent Artificial Intelligence represent a significant advancement in the banking sector, poised to fundamentally reshape operations. This review will explore the evolution of this technology,

Cooling Job Market Requires a New Talent Strategy

The once-frenzied rhythm of the American job market has slowed to a quiet, steady hum, signaling a profound and lasting transformation that demands an entirely new approach to organizational leadership and talent management. For human resources leaders accustomed to the high-stakes war for talent, the current landscape presents a different, more subtle challenge. The cooldown is not a momentary pause

What If You Hired for Potential, Not Pedigree?

In an increasingly dynamic business landscape, the long-standing practice of using traditional credentials like university degrees and linear career histories as primary hiring benchmarks is proving to be a fundamentally flawed predictor of job success. A more powerful and predictive model is rapidly gaining momentum, one that shifts the focus from a candidate’s past pedigree to their present capabilities and