partnered with Agmo to modernize its conversational AI platform on AWS using DevOps best practices. Automated CI/CD, monitoring, and container orchestration imp
roved scalability, resilience, and operational efficiency.
Customer Background & Problem Statement
DahReply delivers AI-powered chatbots for SMEs and enterprises across Asia.
Challenges:
Manual deployments causing downtime and long release cycles.
Lack of observability across chatbot workloads.
Difficulty scaling across multiple digital channels.
Increasing cost and security concerns with growing customer data.
Proposed Solution & Architecture
Agmo implemented a DevOps-driven cloud-native architecture on AWS:
Infrastructure as Code (IaC): Terraform templates for consistent provisioning across environments.
CI/CD Pipeline: GitHub Actions integrated with Amazon ECR & Amazon EKS for blue/green and rolling deployments.
Container Orchestration: Amazon EKS with auto-scaling and service mesh for AI inference workloads.
Monitoring & Logging: Amazon CloudWatch, Prometheus, and Amazon OpenSearch for observability.
Security & Compliance: IAM roles with least privilege, AWS KMS for secrets, and automated image scanning.
GenAI Enablement: Amazon Bedrock integrated with EKS to serve domain-specific chatbots.
Outcomes & Success Metrics
Reduced deployment time from days to <30 minutes with CI/CD automation.
Improved system reliability with 99.9% uptime and automated rollback.
Enhanced scalability, supporting 5x more concurrent users without downtime.
Increased release velocity — weekly releases instead of quarterly.
Achieved cost savings of ~30% by adopting AWS managed services.
TCO Analysis
Eliminated CapEx with cloud-native deployment.
Reduced OpEx through automated scaling and managed observability tools.
Lowered DevOps team effort by ~40% due to automation and IaC.
Lessons Learned
Early investment in IaC and CI/CD pipelines accelerated innovation.
Shift-left security with image scanning and secrets management reduced vulnerabilities.
Observability (logs, metrics, traces) was critical for AI workload reliability.
Partnering with AWS enabled DahReply to confidently scale its GenAI workloads.
