Damodhara Reddy Palavali
Software Engineer At Social Security Administration
Dallas, Texas, United States
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am a technology leader with more than 15 years of experience in the automotive, banking, and healthcare industries. My core expertise is in full-stack engineering, cloud modernization, and AI/ML integration, where I focus on building scalable and intelligent digital systems.
I have led major projects at JPMorgan Chase and American Honda Motors, including:
Developing a Spring Boot–based platform to automate vehicle software updates.
Migrating legacy systems to microservices and cloud-native architectures.
Delivering serverless cloud solutions using AWS Lambda, API Gateway, and ElastiCache.
Building dashboards and APIs for real-time operational insights.
With over a decade of experience in U.S. Medicaid, I now focus on applying AI/ML for fraud detection, intelligent automation, and cybersecurity in healthcare.
I actively share my knowledge as a technical writer on DZone, covering Java, Spring Boot, backend engineering, and distributed systems. Currently, I am pursuing a Postgraduate Programme in Generative AI and Machine Learning at the Illinois Institute of Technology, specializing in responsible AI and enterprise-scale deployments.
I am passionate about mentoring and community engagement. I have judged several global hackathons—FusionHacks, Hidden Leaf Hackathon, W3B Pitchfest, and the Israeli–Indian Hackathon
I also hold AWS Certified Developer – Associate and AWS Solutions Architect – Associate credentials, which help me design secure, cost-efficient, and scalable cloud solutions.
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Zero Trust Microservices Architecture: Security Patterns for Resilient Cloud-Native Infrastructure
The Zero Trust Microservices Architecture redefines digital trust in the era of distributed systems. By moving past dated perimeter models, the approach validates every single API call as a potential threat surface by weaving “never trust, always verify” into the fabric of cloud-native applications. Zero Trust Microservices Architecture is an effective way to understand and combat the increasing complexity and multifaceted security threats that come with distributed cloud-native systems, especially when traditional perimeter defenses become a complete loss or insufficient to achieve a level of protection that meets our standards. This approach seeks to create a continuous framework of authentication, authorization, encryption, and monitoring for every interaction between microservices, thereby achieving a level of trustworthiness across the architecture that remains unwavering. The specific patterns encompassed within this approach include, but are not limited to, mutual TLS for transmission security, JWT-based service authentication, least-privilege access, policy-based security in a service mesh architecture, and real-time anomaly detection to identify and respond to system breaches, from botnets to insider threats. This informative webinar is meant to provide engineers with real and actionable strategies to protect microservices from a range of external and insider threats using case studies and architectural best practices to develop infrastructure that is not only scalable but can also withstand security attacks as they evolve.
Building Enterprise-Grade Microservices with Spring Boot: Performance Real-World Patterns
Modern enterprise platforms, particularly in the healthcare, banking, and government sectors, require highly resilient, low-latency, and secure backend systems that can scale. I have over 15 years of experience modernizing mission-critical systems, including Medicaid MMIS platforms, banking integrations, and federal identity systems, enabling a practical overview of designing and optimizing Java/Spring Boot microservices for production. The conversation covers the fundamentals of architecture, including distributed caching through Redis and AWS ElastiCache, database optimizations, asynchronous processing, and event-driven designs. The session consists of lessons on how to implement resilience patterns such as circuit breakers, bulkheads, retries, and fallback strategies in Spring Cloud and Resilience4j to achieve uptime and stable performance under heavy loads. We also discuss important production issues, such as API Gateway design, rate limiting, throttling, mTLS/JWT authentication, observability, and service communications in a secure manner, aligning each with real examples from Medicaid claims systems, healthcare provider enrollment platforms, banking workflows, and the modernization of government programs. This course is for developers, architects, and engineering leaders who want to make microservices fast, fault tolerant, capable of scaling, secure, and have techniques that can be applied in enterprises.
Damodhara Reddy Palavali
Software Engineer At Social Security Administration
Dallas, Texas, United States
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