Senior Software Engineer with ~9 years of experience in software development, specializing in C#, .NET Core, and cloud platforms like Azure and AWS. I’ve led multiple initiatives converting monoliths to microservices, focusing on when and why to make the transition, and the benefits like scalability, flexibility, and performance. My domain experience includes core banking, CRM, tracking solutions, and business applications. I’ve also worked extensively on integrating third-party systems with internal platforms. With a degree in Computer Engineering, I enjoy mentoring to share my real-world experience, support career growth, and help others navigate technical challenges with confidence.
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Redundancy and failover mechanisms are crucial when building resilient systems, especially as systems scale. I’m curious about how you approach balancing the complexity of setting up these mechanisms with the need for cost efficiency. Have you found any trade-offs when it comes to choosing between geographic redundancy versus region-based failovers, especially in terms of response time and infrastructure cost?
Kira's tips for escaping the 'delivery trap' are spot-on, especially the focus on problem-first thinking and meaningful customer feedback. Prioritizing real customer problems over endless feature releases can make a huge difference in both product quality and team satisfaction. Her approach of testing with prototypes and defining clear success metrics gives product teams a structured way to stay user-centered and avoid burnout—a refreshing take on smart, sustainable product management!
where would you recommend learning more about working with geospatial data and implementing custom geocoding solutions like the one you built? Any specific resources or tools that helped you along the way?