Casino Infrastructure Deployment on AWS and Kubernetes

The client required a reliable and scalable infrastructure foundation for running the casino platform in AWS.
The infrastructure had to support multiple application components with different resource requirements, including backend services, queue workers, scheduled jobs, administrative tools, and external integrations.
The project also required automated infrastructure provisioning, repeatable server configuration, controlled application deployments, environment separation, monitoring, centralized logging, and the ability to scale individual platform components.

The main goals of the project were:

• deploy the platform infrastructure in AWS;
• containerize application services using Docker;
• manage application workloads with Kubernetes;
• automate infrastructure provisioning with Terraform;
• automate server and environment configuration with Ansible;
• implement GitOps-based deployments using Argo CD;
• configure GitHub Actions pipelines;
• separate development, staging, and production environments;
• configure queue workers and scheduled jobs;
• implement infrastructure and application monitoring;
• centralize application and infrastructure logs;
• prepare the platform for further scaling.

We prepared an AWS-based infrastructure with Kubernetes used to manage containerized application workloads.

Terraform was used to describe and provision the cloud infrastructure as code. This made the infrastructure configuration repeatable, version-controlled, and easier to reproduce across different environments.

Ansible was used to automate server configuration, install required system components, apply infrastructure settings, and prepare environments for application workloads.

Application services were packaged into Docker containers and deployed as separate Kubernetes workloads. Backend services, workers, administrative applications, and supporting components could therefore be managed and scaled independently.

Argo CD was introduced as the GitOps delivery layer. Kubernetes configuration was stored in Git repositories, while Argo CD synchronized the desired configuration with the actual state of the cluster.

GitHub Actions pipelines were configured to automate application builds, testing, Docker image preparation, and updates to deployment configurations.

Infrastructure as code

Terraform was used to manage the AWS infrastructure through version-controlled configuration.

The infrastructure-as-code approach provided:

• repeatable infrastructure provisioning;
• consistent configuration across environments;
• controlled infrastructure changes;
• easier infrastructure review;
• reduced dependency on manual cloud configuration;
• a foundation for further automation and scaling.

Configuration management

Ansible was used to automate the configuration of infrastructure components and operating environments.

The automated configuration process included:

• installation of required packages and services;
• system configuration;
• security-related settings;
• preparation of servers and supporting components;
• deployment of monitoring agents;
• environment-specific configuration.

This reduced the number of manual operations and helped maintain consistent configuration across infrastructure components.

Kubernetes deployment

Backend services, workers, administrative applications, and supporting components were deployed as independent Kubernetes workloads.

The main platform components included:

• backend APIs;
• administrative applications;
• queue workers;
• scheduled jobs;
• Redis-based caching and queue components;
• databases and supporting services;
•  external provider integrations;
•  monitoring and logging components.

Each workload could be configured and scaled according to its operational requirements.
For example, queue workers could be scaled separately during periods of increased background processing without unnecessarily increasing the number of backend API instances.

GitOps deployment with Argo CD

Argo CD was used to manage Kubernetes deployments according to the GitOps approach.
Deployment manifests and application configuration were stored in Git repositories. Argo CD monitored these repositories and synchronized approved changes with the Kubernetes cluster.

This approach provided:

• version-controlled deployment configuration;
• visibility into changes;
• consistent deployments across environments;
• easier rollback of configuration changes;
• detection of differences between the expected and actual cluster state;
• reduced manual interaction with production clusters.

CI/CD automation

GitHub Actions was used to automate the application delivery workflow.
The pipelines covered the main stages of the release process: 

• application build and validation;
• automated checks and tests;
• Docker image creation;
• publication of images to the container registry;
• updating deployment image versions;
• applying changes through the GitOps workflow;
• triggering synchronization through Argo CD.

GitHub Actions handled application build automation, while Argo CD managed the deployment and synchronization of workloads in Kubernetes.

Monitoring and logging

Monitoring and centralized logging were implemented to provide visibility into the state of the platform.

The team could track:

• application availability;
•  infrastructure resource usage;
• Kubernetes workload health;
• backend and worker performance;
• queue processing;
• application and infrastructure errors;
• deployment status;
• operational incidents.

Centralized logging simplified troubleshooting across multiple services, workloads, and environments.

The Result

The client received a reliable, automated, and scalable infrastructure foundation for the casino platform.
Infrastructure provisioning became repeatable through Terraform, while Ansible reduced manual configuration operations.
GitHub Actions automated the application build process, and Argo CD provided controlled GitOps-based delivery to Kubernetes.

The implemented solution provided:

• automated AWS infrastructure provisioning;
• consistent server and environment configuration;
• repeatable application builds;
• version-controlled Kubernetes deployments;
• isolated development, staging, and production environments;
• independent management of backend services and workers;
• improved infrastructure and application visibility;
• centralized logging;
• easier incident investigation;
• the ability to scale selected workloads independently;
• a foundation for further platform growth.

CI/CD automation

GitHub Actions automated application builds, tests, Docker image creation, and deployment updates.
Scalability —  backend services, queue workers, and supporting workloads could be scaled independently according to actual load.
Operational visibility — monitoring and centralized logging improved the team’s ability to detect performance issues and investigate incidents.

  Key achievements