Shriti Raj

IoT:

• Developed several microservices and APIs for managing data flow from IoT devices using Azure Cloud Services.
  This development included appropriate usage of design patterns, health checks, and monitoring.
• Migrated a few modules from an existing monolith to microservices, which included developing a proper
  architecture, decoupling the functionalities into different microservices, and linking them with appropriate
  infrastructure in Azure Cloud.
• Enabled seamless testing of microservices by developing Automated Acceptance Tests using frameworks like
  Specflow and Newmann and integrating them into the CI/CD pipeline.
• Identified and resolved critical memory leaks in the microservices using tools like DotMemory and ANTS
  Memory Profiler, improving the application performance and stability.
• Used Benchmark.Net framework/Postman for performing load tests to observe the efficiency of applications.
  Implemented Kubernetes Event-Driven Autoscaling (KEDA) for improving the scalability of microservices. This
  resulted in autoscaling pods in Kubernetes clusters based on the number of requests received.
• Created PowerShell scripts for selective deployment of YML files to AKS and creating Azure resources on the run.
• Used Prometheus, Grafana, and Kibana for monitoring the metrics by developing dashboards.
• Proactively involved in mitigating the security risks for the services using tools like Coverity, BlackDuckHub,
  Twistlock, and Sonarqube.

Integration Framework V3:

• Designed the version of a SaaS framework allowing customers to deploy cloud-to-cloud integration of systems with Honeywell Performance Plus EPM platform through Azure IaaS/PaaS technologies.
• Used Prometheus, Grafana, and Kibana for monitoring the metrics by developing dashboards.
• Proactively involved in mitigating the security risks for the services using tools like Coverity, BlackDuckHub, Twistlock, and Sonarqube.