<h2 style="text-align: justify;"><span style="font-size: 12pt;">Q1. Could you start by giving us a brief overview of your professional background, particularly focusing on your expertise in the industry?</span></h2><p style="text-align: justify;">I’ve spent the past 3 years building backend systems in the e-commerce space, focusing on seller-side features like product, order, and promo management. My expertise is in scalable Java services, cloud security (e.g., Google Cloud KMS), and performance optimization for high-trafic platforms.</p><p style="text-align: justify;"> </p><h2 style="text-align: justify;"><span style="font-size: 12pt;">Q2. Are there any emerging technologies or market needs that could significantly impact the serverless computing landscape?</span></h2><p style="text-align: justify;">AI integration and edge computing are redefining serverless. We’re seeing demand for faster cold starts, better observability, and tools that improve developer productivity and operational simplicity.</p><p style="text-align: justify;"> </p><h2 style="text-align: justify;"><span style="font-size: 12pt;">Q3. From a technical perspective, what are the key factors that influence the choice of an AI integration strategy in backend systems?</span></h2><p style="text-align: justify;">Latency, model lifecycle, cost, compliance, and team capabilities are crucial.</p><p style="text-align: justify;">Choosing between real-time vs. batch, edge vs. cloud depends on the use case and resource constraints.</p><p style="text-align: justify;"> </p><h2 style="text-align: justify;"><span style="font-size: 12pt;">Q4. What future trends are anticipated in the evolution of API technologies, and how might GraphQL play a role?</span></h2><p style="text-align: justify;">GraphQL is enabling more flexible, federated APIs—especially for frontend-heavy or headless architectures.</p><p style="text-align: justify;">Expect growth in API observability, schema governance, and edge-native execution.</p><p style="text-align: justify;"> </p><h2 style="text-align: justify;"><span style="font-size: 12pt;">Q5. Considering the rapid evolution of cloud technologies, what strategic risks and opportunities should companies be aware of in the context of microservices and container orchestration?</span></h2><p style="text-align: justify;"><strong>Risks</strong></p><ul><li style="text-align: justify;">Operational complexity</li><li style="text-align: justify;">Vendor lock-in</li><li style="text-align: justify;">Security</li></ul><p style="text-align: justify;"><strong>Opportunities</strong></p><ul><li style="text-align: justify;">Independent scaling</li><li style="text-align: justify;">Faster deployments</li><li style="text-align: justify;">Global service distribution through container orchestration and service mesh</li></ul><p> </p><h2><span style="font-size: 12pt;">Q6. What are the potential risks and technical limitations associated with WebAssembly (Wasm) that could impact its future adoption in backend development?</span></h2><p>Wasm is promising, but tooling is immature, and I/O access is limited. It’s not yet ideal for general-purpose backends but is strong for sandboxed plugin systems and edge use cases.</p><p> </p><h2><span style="font-size: 12pt;">Q7. If you were an investor looking at companies within the space, what critical question would you pose to their senior management?</span></h2><p>How does your architecture balance the speed of innovation with long-term sustainability?</p><p>This reveals whether the team can scale fast without building up costly technical debt.</p><p style="text-align: justify;"> </p><p style="text-align: justify;"> </p><p style="text-align: justify;"> </p><p style="text-align: justify;"> </p><p style="text-align: justify;"> </p>
KR Expert - Richie Amir
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