Background
Trendsapio needed to implement Amazon Elastic Kubernetes Service (Amazon EKS) for its SaaS. This required a scalable solution, as the SaaS focuses on collaboration with artists worldwide.
The Challenge
Trendsapio aimed to modernise its legacy Amazon EC2-based setup to overcome infrastructure limitations and improve agility:
- Scalability Constraints: A single EC2 instance limited horizontal scaling and performance under load
- Availability Risks: Lack of redundancy led to frequent downtime and reliability issues
- Operational Overhead: Manual deployments and infrastructure management slowed delivery and innovation
Our Solution
We proposed migrating Trendsapio’s application to Amazon EKS. The architecture consists of:
- Highly available EKS architecture with multi-AZ node groups and separate profiles for general and ML workloads
- Microservices-based deployment with ALB, ACM, and Kubernetes-native routing for secure, scalable access
- End-to-end observability using Prometheus, Grafana, Fluent Bit, Loki, Thanos, and Velero for monitoring, logging, and backup
- Automation & security via Argo CD (GitOps), Karpenter (autoscaling), and Tigera (network policies) for resilient operations
The Result
Migration to Amazon EKS delivered significant performance, efficiency, and operational gains for Trendsapio:
- 4× increase in throughput and 99.99% availability with a resilient, multi-AZ EKS setup
- 90% faster deployments using GitOps (Argo CD) and streamlined CI/CD workflows
- 40% cost savings through autoscaling and use of spot instances
- Stronger security & observability with network policies, centralised logging, and dashboards
