@@ -131,83 +131,6 @@ I architect and implement complete cloud-native systems, not just tutorials or t
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132132---
133133
134- ## 📚 Featured Work
135-
136- ### 1️⃣ [ Cloud-Native E-Commerce Platform] ( https://github.com/vishalgunjalSWE/cloud-native-retail-platform )
137- ** Production-grade microservices on AWS EKS**
138-
139- ** What makes this different:**
140- - 8 independent microservices with proper domain boundaries (DDD principles)
141- - Event-driven architecture preventing cascading failures
142- - Multi-AZ infrastructure with automated failover
143- - Distributed caching reducing database load
144- - Full observability with correlation IDs for request tracing
145-
146- ** Architecture Decisions:**
147- ```
148- Why RabbitMQ over Kafka?
149- → Simpler ops for project scale, better routing patterns, DLQ support
150-
151- Why Redis cache-aside pattern?
152- → Handles cache misses gracefully, prevents stampede on cache clear
153-
154- Why IRSA over hardcoded credentials?
155- → Temporary credentials, automatic rotation, AWS IAM integration
156-
157- Why GitOps with ArgoCD?
158- → Git as audit trail, automated drift correction, declarative state
159- ```
160-
161- ** Tech:** Go, Java, Node.js | Kubernetes (EKS) | Terraform | ArgoCD | RabbitMQ | Redis | Prometheus | Grafana | Jaeger
162-
163- ** Skills Demonstrated:**
164- - Microservices decomposition
165- - Event-driven architecture
166- - Distributed caching strategies
167- - Kubernetes security (RBAC, Network Policies, Pod Security)
168- - Infrastructure as Code (Terraform modules, remote state)
169- - GitOps automation
170- - SRE observability (RED metrics, SLOs, distributed tracing)
171-
172- ---
173-
174- ### 2️⃣ [ Enterprise DevSecOps Platform] ( https://github.com/vishalgunjalSWE/wanderlust-devsecops-gitops )
175- ** Shift-left security with automated CI/CD and observability**
176-
177- ** What makes this different:**
178- - Reusable pipeline logic (Groovy shared libraries)
179- - Security scanning at multiple stages (SAST, container, IaC)
180- - Centralized logging with request correlation
181- - Infrastructure drift detection and remediation
182- - DORA metrics tracking for continuous improvement
183-
184- ** Architecture Decisions:**
185- ```
186- Why Jenkins shared libraries?
187- → DRY principle, standardized pipelines, easier maintenance
188-
189- Why ELK over CloudWatch?
190- → Better aggregation, custom dashboards, correlation IDs, cost control
191-
192- Why scheduled drift detection?
193- → Catch manual changes, enforce GitOps, prevent config drift
194-
195- Why Infracost integration?
196- → Cost awareness before apply, prevent bill shock, FinOps culture
197- ```
198-
199- ** Tech:** Jenkins (Groovy) | Terraform | SonarQube | Trivy | ELK Stack | ArgoCD | Prometheus | Grafana
200-
201- ** Skills Demonstrated:**
202- - CI/CD pipeline engineering
203- - Shift-left security (DevSecOps)
204- - Centralized logging and correlation
205- - Infrastructure automation
206- - Cost optimization awareness
207- - Platform observability
208-
209- ---
210-
211134<!-- ## 📝 Technical Writing
212135
213136I write in-depth technical articles explaining the "why" behind infrastructure decisions:
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