---
title: CTP Topic 40 SaaS Database Architecture On AWS Cloud
type: cloud-learning
source-type: video
category: DevOps & SRE/01_AWS-Landing-Zone
tags:
  - SaaS
  - Database
  - Architecture
  - AWS
  - CTP
date-added: 2026-04-14
video-source: nas:///volume2/work/Public Cloud Learning Sessions/CTP _ Topic 40_ SaaS Database Architecture On AWS Cloud.mp4
audio-source: ""
status: summarized (Gemini 摘要)
---

# CTP Topic 40 SaaS Database Architecture On AWS Cloud

**Source:** NAS `/volume2/work/Public Cloud Learning Sessions/CTP _ Topic 40_ SaaS Database Architecture On AWS Cloud.mp4`

**Type:** VIDEO | **Category:** 01_AWS-Landing-Zone

**Status:** 🟡 Awaiting Whisper transcription → Summary

---

## 摘要

> ## SAS Database Architecture on AWS Cloud

The SAS database team is a global team located in the US, Canada, India, and Israel, providing 24/7 support. The team consists of certified professionals, including Oracle certified professionals, DBAs, and security professionals. They manage over 500 databases and 1000+ DB servers on-premise and in the public cloud, having migrated numerous DB servers and databases to the public cloud.

The team supports various regions, including Sacramento and Reading for on-premise data centers, and AWS regions like Canada, Frankfurt, London, Oregon, North Virginia, and Sydney. They support database flavors such as Oracle, Vertica, Postgres, DynamoDB, SQL Server, MongoDB, and MySQL, utilizing AWS technologies like Postgres Aurora, Elasticsearch, AWS RDS, EFS, S3, and EBS. Databases reside mostly on application VPCs with integrated security measures.

For database monitoring, performance tuning, and gap analysis, tools like Micro Focus Sidescope, Oracle OEM, Ignite, AWS CloudWatch, and Questsoft Foglight are used. Day-to-day operations are managed through a ticketing tool, with an on-call DBA resource. The team actively participates in squads and executes a minimum of 10 changes a month, handling 400-500 SSRs and IMs monthly. They provide layer 1 and layer 3 support, using technologies like shell scripting, Terraform, AWS CLI, and PowerShell for automation. *Data center migrations and cloud provisioning were key automation projects.*

Key projects include data center migrations, onboarding new customers, database security enhancements, DB-AD integrations, SOX compliance, database consolidation, and DB patching. The team is also working on Oracle Golden Gate for multi-tenancy, adopting cloud-native technologies, and enhancing the Pretty Tool for on-demand backups and database migrations. Future plans involve new AMI automations, storage compression, RI instance optimization, AWS cloud-native backups, and enhancements to the DB apps tool. *The idea was to move those databases seamless without downtime or with minimum downtime.*

For high availability, Oracle uses Data Guard technology, Postgres uses a classic active-passive mechanism (with plans to use Active Active), and RDS uses RDS high availability. Databases are run in two availability zones within a region, with a primary database in one zone, a standby database in the second, and a witness in the third to observe and manage failovers. Reporting databases have a read-only warehouse in the third availability zone, with secure VPN access for customers to run operational warehousing queries.


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## 关键概念

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## 行动项

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*最后更新: 2026-04-14*
