HeyKoala is an enterprise guest engagement and digital concierge platform for the hospitality industry. It helps hotels manage room workflows, concierge requests, and guest services through a centralized cloud platform, connecting guest-facing applications with staff dashboards and backend systems to streamline daily operations, improve response times, and elevate the overall guest experience.
As the platform expanded, its static cloud infrastructure could not keep pace. Provisioning was manual, scaling to changing workloads was difficult and cost-inefficient, backend services needed stronger network isolation to reduce public exposure, and communication across a growing ecosystem of microservices and background processing components was becoming increasingly complex. HeyKoala needed a cloud transformation partner to re-architect the platform for enterprise scale.
1. Manual, Static Infrastructure Provisioning
Infrastructure changes were provisioned by hand, making every environment update slow, error-prone, and difficult to reproduce. Supporting enterprise growth demanded consistent, repeatable, version-controlled infrastructure across environments.
2. Scaling Compute Without Runaway Cost
Guest engagement workloads fluctuate through the day, but static capacity meant the platform was either over-provisioned and wasting spend or under-provisioned during peaks. Compute had to scale automatically with real application demand.
3. Reducing the Public Attack Surface
Backend services required far stronger network isolation. Every service reachable from the public internet represented risk, so the target architecture had to guarantee that internal applications remained fully private without breaking external access for legitimate clients.
4. Complex Microservice Communication
As the number of microservices and background processing components grew, service-to-service discovery, caching, and asynchronous task handling became harder to manage reliably at scale.
5. Safe Releases Across Environments
The platform needed cleanly separated staging and production environments so new releases could be tested realistically and shipped without endangering live hotel operations.
1. Infrastructure as Code with Terraform
Pace Wisdom, as HeyKoala's cloud transformation and cloud migration partner, provisioned the entire AWS environment through Terraform, delivering consistency, repeatability, and version-controlled deployments across staging and production. Infrastructure changes became reviewable code instead of manual operations.
2. Auto-Scaling Container Platform on Amazon ECS
The application runs on Amazon ECS with the EC2 launch type, using Auto Scaling Groups, Launch Templates, and ECS Capacity Providers to expand and contract compute automatically based on application demand, improving resource utilization and cost efficiency.
3. Zero-Trust Network Architecture
Public traffic is received exclusively through AWS API Gateway and forwarded to internal Application Load Balancers over VPC Links, keeping backend services isolated in private VPC subnets and inaccessible from the public internet. AWS WAF protects exposed endpoints, and Python-based AWS Lambda authorizers validate JWT tokens before any request reaches internal services.
4. Service Discovery, Caching, and Background Processing
AWS Cloud Map provides secure, DNS-based private service discovery for microservice communication, while Amazon ElastiCache Redis powers high-speed caching and asynchronous background task processing, keeping the platform responsive as the ecosystem grows.
5. Managed Data Layer with Environment Isolation
MongoDB Atlas serves as the managed document database, providing a flexible, scalable data layer with fully separated staging and production environments that enable safe testing and reliable releases.
AWS, Next.js, and MongoDB Atlas were leveraged to build a secure, scalable, and high-performance cloud-native platform.
HeyKoala is an enterprise guest engagement and digital concierge platform for the hospitality industry. It helps hotels manage room workflows, concierge requests, and guest services through a centralized cloud platform, connecting guest-facing applications with staff dashboards and backend systems to streamline daily operations, improve response times, and elevate the overall guest experience.
As the platform expanded, its static cloud infrastructure could not keep pace. Provisioning was manual, scaling to changing workloads was difficult and cost-inefficient, backend services needed stronger network isolation to reduce public exposure, and communication across a growing ecosystem of microservices and background processing components was becoming increasingly complex. HeyKoala needed a cloud transformation partner to re-architect the platform for enterprise scale.
AWS, Next.js, and MongoDB Atlas were leveraged to build a secure, scalable, and high-performance cloud-native platform.
HeyKoala is an enterprise guest engagement and digital concierge platform for the hospitality industry. It helps hotels manage room workflows, concierge requests, and guest services through a centralized cloud platform, connecting guest-facing applications with staff dashboards and backend systems to streamline daily operations, improve response times, and elevate the overall guest experience.
As the platform expanded, its static cloud infrastructure could not keep pace. Provisioning was manual, scaling to changing workloads was difficult and cost-inefficient, backend services needed stronger network isolation to reduce public exposure, and communication across a growing ecosystem of microservices and background processing components was becoming increasingly complex. HeyKoala needed a cloud transformation partner to re-architect the platform for enterprise scale.
1. Manual, Static Infrastructure Provisioning
Infrastructure changes were provisioned by hand, making every environment update slow, error-prone, and difficult to reproduce. Supporting enterprise growth demanded consistent, repeatable, version-controlled infrastructure across environments.
2. Scaling Compute Without Runaway Cost
Guest engagement workloads fluctuate through the day, but static capacity meant the platform was either over-provisioned and wasting spend or under-provisioned during peaks. Compute had to scale automatically with real application demand.
3. Reducing the Public Attack Surface
Backend services required far stronger network isolation. Every service reachable from the public internet represented risk, so the target architecture had to guarantee that internal applications remained fully private without breaking external access for legitimate clients.
4. Complex Microservice Communication
As the number of microservices and background processing components grew, service-to-service discovery, caching, and asynchronous task handling became harder to manage reliably at scale.
5. Safe Releases Across Environments
The platform needed cleanly separated staging and production environments so new releases could be tested realistically and shipped without endangering live hotel operations.
1. Infrastructure as Code with Terraform
Pace Wisdom, as HeyKoala's cloud transformation and cloud migration partner, provisioned the entire AWS environment through Terraform, delivering consistency, repeatability, and version-controlled deployments across staging and production. Infrastructure changes became reviewable code instead of manual operations.
2. Auto-Scaling Container Platform on Amazon ECS
The application runs on Amazon ECS with the EC2 launch type, using Auto Scaling Groups, Launch Templates, and ECS Capacity Providers to expand and contract compute automatically based on application demand, improving resource utilization and cost efficiency.
3. Zero-Trust Network Architecture
Public traffic is received exclusively through AWS API Gateway and forwarded to internal Application Load Balancers over VPC Links, keeping backend services isolated in private VPC subnets and inaccessible from the public internet. AWS WAF protects exposed endpoints, and Python-based AWS Lambda authorizers validate JWT tokens before any request reaches internal services.
4. Service Discovery, Caching, and Background Processing
AWS Cloud Map provides secure, DNS-based private service discovery for microservice communication, while Amazon ElastiCache Redis powers high-speed caching and asynchronous background task processing, keeping the platform responsive as the ecosystem grows.
5. Managed Data Layer with Environment Isolation
MongoDB Atlas serves as the managed document database, providing a flexible, scalable data layer with fully separated staging and production environments that enable safe testing and reliable releases.
AWS, Next.js, and MongoDB Atlas were leveraged to build a secure, scalable, and high-performance cloud-native platform.
