DahReply, Malaysia’s AI chatbot provider,

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.