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Infrastructure-2

Documentation of Safecast's infrastructure, covering architecture, deployment, security, and maintenance.

Safecast-AWS-Documentation

Documenting AWS Infrastructure

In this README.md file, we will document the AWS infrastructure for the Safecast project. This documentation will serve as a reference for the various AWS services and resources used in the project.

Table of Contents

  1. Introduction
  2. Architecture Overview
  3. Services and Products
  4. AWS Services
  5. Infrastructure Diagram
  6. Deployment Process
  7. Monitoring and Alerting
  8. Cost Optimization
  9. Security
  10. Troubleshooting
  11. References

Introduction

The Safecast project utilizes various AWS services to collect, store, and analyze radiation data from around the world. This documentation provides an overview of the AWS infrastructure used in the project and serves as a guide for developers and administrators.

Architecture Overview

The architecture of the Safecast AWS infrastructure is designed to be scalable, fault-tolerant, and highly available. It consists of multiple components, including:

  • Data collection and ingestion
  • Data storage and processing
  • Data analysis and visualization
  • Monitoring and alerting
  • Security and access control
  • Automated Grafana and Kibana dashboard updates to Slack channels

AWS Services

The Safecast AWS infrastructure leverages several AWS services, including but not limited to:

  • Amazon IAM for access control
  • Amazon EC2 for virtual server instances
  • Amazon RDS for managed databases
  • Amazon CloudWatch for monitoring and logging
  • Elastic Beanstalk to handle Public sites and Safecast Data uploads
  • Amazon S3 for data storage

For a complete list of AWS services used in the Safecast project, refer to the project's documentation.

Infrastructure Diagram

The following diagram illustrates the high-level architecture of the Safecast Data APIs and its AWS infrastructure:

Safecast Radiation Data Upload

Click here to view Design Overview in Lucid Chart (Live Document)

Deployment Process

At Safecast we leverage AWS ElasticBeanstalk to automatically deploy the backend Go application and handle autoscaling as well. Changes to the infrastructure are managed through version control and automated deployment pipelines. The process includes steps such as:

  1. Infrastructure as Code (IaC) provisioning
  2. Configuration management
  3. Testing and validation
  4. Deployment to the production environment

Monitoring and Alerting

To ensure the health and performance of the Safecast AWS infrastructure, various monitoring and alerting mechanisms are in place. These include:

  • CloudWatch metrics and alarms
  • Log aggregation and analysis
  • Application performance monitoring (APM) tools
  • Incident response and escalation procedures

Cost Optimization

Cost optimization is an important aspect of managing the Safecast AWS infrastructure. To minimize costs, strategies such as:

  • Right-sizing of resources
  • Reserved instances and savings plans
  • Spot instances for non-critical workloads
  • Lifecycle management of data and resources

are implemented.

Security

Security is a top priority for the Safecast AWS infrastructure. Measures such as:

  • Encryption of data at rest and in transit
  • Identity and access management using IAM
  • Regular security assessments and audits

are implemented to ensure the confidentiality, integrity, and availability of the infrastructure.

Troubleshooting

In case of issues or incidents, a troubleshooting guide is available to assist in identifying and resolving problems in the Safecast AWS infrastructure. The guide includes steps for:

  • Log analysis and debugging
  • Performance optimization
  • Incident response and recovery

References

For more detailed information on the Safecast AWS infrastructure, refer to the following resources:

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Documentation of Safecast's infrastructure, covering architecture, deployment, security, and maintenance.

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