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Automated Deployment Pipeline for Healthcare IoT Platform
  1. case
  2. Automated Deployment Pipeline for Healthcare IoT Platform

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Automated Deployment Pipeline for Healthcare IoT Platform

temy.co
Medical
Health & Fitness
Information technology

Manual Deployment Processes Hindering Scalability

Manual configuration of AWS infrastructure and system components (e.g., Grafana) caused deployment delays (several days per instance), high error rates, and operational inefficiencies during version upgrades and rollbacks. Lack of automated testing workflows risked undetected bugs in frequent updates.

About the Client

Provider of cloud-based infrastructure for HealthTech companies, enabling secure data management for connected medical devices

Deployment Automation and Quality Assurance Enhancement

  • Automate end-to-end software delivery pipeline for BioT instances
  • Implement one-click version rollbacks with configuration persistence
  • Establish robust QA testing workflows for continuous updates
  • Reduce deployment time to <3 hours per instance

Core System Capabilities

  • Jenkins-powered CI/CD pipeline for automated deployments
  • Terraform-based infrastructure-as-code provisioning
  • Bash scripting for post-deployment configuration
  • Elastic Beanstalk integration for Grafana rollbacks
  • IoT device simulation testing environment

Technology Stack

Jenkins
Terraform
Bash
AWS Cloud
Elastic Beanstalk

System Integrations

  • AWS Cloud infrastructure
  • Grafana visualization tool
  • IoT device simulators
  • EHR systems

Operational Requirements

  • Scalable infrastructure provisioning
  • 99.9% deployment success rate
  • HIPAA-compliant security controls
  • Sub-3-hour deployment SLA
  • Zero-downtime rollback capability

Efficiency Gains and Market Expansion

Deployment automation reduced time-to-market by 80%, enabling rapid global scaling across 50+ medical organizations. Robust QA processes eliminated critical bugs in production, while seamless rollbacks minimized service disruptions during updates.

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