Cloud Operations
Production CATRancherDatadog
  • Welcome
  • Fundamental Concepts
    • Authoring
    • Reportability
    • Knowledge Modules
    • Synchronization
    • Mirth & Message Queuing
    • Glossary
  • Operations Handbook
    • Achieving Steady State
    • Leveraging Kubernetes
    • Triaging Issues
    • Escalation Policy
    • Playbooks
      • Sync-all (Redeploy) Knowledge Modules
  • Deployments
    • Methodology
    • Bill of Materials
      • AIMS Production
        • 2025
          • 2025-02-12
          • 2025-03-19
          • 2025-04-30
          • 2025-06-25
        • 2024
          • 2024-01-31
          • 2024-04-03
          • 2024-04-03 [PATCH]
          • 2024-06-05 [patched 05/31]
          • 2024-06-10 [PATCH TO 2024-06-05]
          • 2024-06-20 [PATCH TO 2024-06-05]
          • 2024-08-14
          • 2024-08-26 [PATCH TO 2024-08-14]
          • 2024-10-16
          • 2024-12-11
          • 2024-12-11 [PATCH 1]
        • 2023
          • 2023-02-22
          • 2023-02-22 Patch 01
          • 2023-05-18
          • 2023-07-26
          • 2023-10-04
          • 2023-11-15
        • 2022
          • 2022-12-14
          • 2022-11-09
          • 2022-09-28
          • 2022-08-18
          • 2022-07-13
          • 2022-06-15
          • 2022-05-16
          • 2022-05-02
          • 2022-04-27
          • 2022-04-21
          • 2022-04-14
          • 2022-04-13
          • 2022-04-12
          • 2022-03-14
          • 2022-02-16
          • 2022-1-27
          • 2022-01-24
          • 2022-01-06
        • 2021
          • 2021-12-06
          • 2021-11-29
          • 2021-11-17
      • AIMS PRR
        • 2023
          • 2023-02-22
          • 2023-02-22 Patch 01
          • 2023-05-18
          • 2023-07-26
          • 2023-10-04
          • 2023-11-15
        • 2022
          • 2022-12-14
          • 2022-11-09
          • 2022-09-28
          • 2022-08-18
          • 2022-07-13
          • 2022-06-15
          • 2022-05-16
          • 2022-05-02
          • 2022-04-27
          • 2022-04-21
          • 2022-04-14
          • 2022-04-13
          • 2022-04-12
          • 2022-01-06
        • 2021
          • 2021-12-06
          • 2021-11-29
          • 2021-11-17
        • 2024
          • 2024-01-31
          • 2024-04-03
          • 2024-04-03 [PATCH]
          • 2024-06-05 [patched 05/31]
          • 2024-06-10 [PATCH TO 2024-06-05]
          • 2024-06-20 [PATCH TO 2024-06-05]
          • 2024-08-14
          • 2024-08-26 [PATCH TO 2024-08-14]
          • 2024-10-16
          • 2024-12-11
          • 2024-12-11 [PATCH 1]
        • 2025
          • 2025-02-12
          • 2025-03-19
          • 2025-04-30
          • 2025-06-25
      • AIMS Onboarding
        • 2023
          • 2023-02-22
          • 2023-02-22 Patch 01
          • 2023-05-18
          • 2023-07-26
          • 2023-10-04
          • 2023-11-15
        • 2022
          • 2022-12-14
          • 2022-11-09
          • 2022-09-28
          • 2022-08-18
          • 2022-07-13
          • 2022-06-15
          • 2022-05-16
          • 2022-05-02
          • 2022-04-27
          • 2022-04-21
          • 2022-04-14
          • 2022-04-13
          • 2022-04-12
          • 2022-04-04
          • 2022-01-06
        • 2021
          • 2021-12-06
          • 2021-11-29
          • 2021-11-17
        • 2024
          • 2024-01-31
          • 2024-04-03
          • 2024-04-03 [PATCH]
          • 2024-06-05 [patched 05/31]
          • 2024-06-10 [PATCH TO 2024-06-05]
          • 2024-06-20 [PATCH TO 2024-06-05]
          • 2024-08-14
          • 2024-08-26 [PATCH TO 2024-08-14]
          • 2024-10-16
          • 2024-12-11
          • 2024-12-11 [PATCH 1]
        • 2025
          • 2025-02-12
          • 2025-03-19
          • 2025-04-30
          • 2025-06-25
      • Archived Environments
        • AIMS Sandbox
          • 2022-01-06
          • 2021-12-06
          • 2021-11-29
          • 2021-11-17
          • 2021-09-21
          • 2021-09-20
          • 2021-08-27
          • 2021-07-01
          • 2021-06-21
          • 2021-06-07
          • 2021-06-17
          • 2021-05-26
  • Architecture
    • Overview
    • Diagrams
      • HLN Hosted Environments
    • Data State
      • Authoring Database
      • Cloud Storage Buckets
      • Document Database
    • Kubernetes
      • Services
      • Workloads
        • Common Sidecars
          • 🚮GC Logging for Java
          • 🪢Cloud SQL Proxy
        • DSS
          • DSS Preflight Container
          • DSS Container
        • DSUS
          • DSUS Container
        • MTS
          • MTS Container
        • OUS
          • OUS Container
        • RGS
          • RGS Container
        • RRS
          • RRS Container
        • SS
          • SS Container
        • SSCS
          • SSCS Container
        • VCS
          • VCS Container
        • In-Development
          • EIS
          • FHIR
    • Web Applications
      • CAT
  • GitBook Resources
    • Workload Template
      • Container Template
Powered by GitBook
On this page
  • Database Software
  • Specifications
  • AIMS Environments
  1. Architecture
  2. Data State

Authoring Database

The RCKMS platform is dependent upon a relational database management system (RBDMS) for maintaining data state in the Authoring environment. The primary use cases for this database are:

  • User records and credentials for accessing the CAT web application.

  • Storing relational records related to rules generation, such as jurisdictions, reporting specifications, code systems, and other facets of generating Knowledge Modules.

  • Queuing deployment entries in support of Synchronization activities.

Database Software

Workloads dependent upon the Authoring Database expect a Postgres or Postgres-compatible database engine. Due to the volume of data stored, it is recommended to use a cloud platform managed solution, such as AWS RDS or Google Cloud SQL for Postgres.

Specifications

AIMS Environments

AWS Relational Database Service (RDS) is deployed with a single (1) primary instance of SKU db.r4.4xlarge, sized with a minimum of 16 vCPU, 122 GB RAM, and a minimum of 50 GB of SSD storage dedicated to the RCKMS platform schemas.

Rolling backups or point-in-time recovery snapshots should be enabled with a minimum 14 day retention period.

As data state stored in the Authoring Database is human-generated, and necessary for all aspects of operating the platform, it is paramount that data loss be avoided.

Furthermore, while end-user credentials are encrypted-in-transit and in-rest in the Authoring Database, additional security safeguards are recommended to prevent third-party exfiltration of data stored within.

Due to differences in database implementations between AIMS environments, the following Postgres user accounts should be used in MTS and RRS connections:

  • AIMS Production: rckms

  • AIMS Onboard: rckms

  • AIMS PRR: rckms_prr

PreviousData StateNextCloud Storage Buckets

Last updated 2 years ago