From manual recovery processes to automated database resilience
AWS Standby Database & RDS Automation
The Client
Our client is a large UK energy organisation operating a cloud-based platform that supports power purchase agreement (PPA) services for commercial and industrial customers.
As cloud adoption matured across the organisation, the team sought to enhance the resilience, observability, and disaster recovery capabilities of a mission-critical application supporting energy trading and operations.
The platform required a repeatable and scalable recovery model that would reduce operational risk, improve environment consistency, and support future cloud-native delivery practices.
Cloud Elemental was engaged to help design and implement a standby infrastructure strategy with automated database replication and infrastructure-as-code deployment.
The Challenge
As the organisation prepared to scale its cloud platform, it needed to ensure the application environment could support reliable disaster recovery and consistent infrastructure delivery.
Four key challenges were identified:
Disaster Recovery Readiness
The platform required a reliable standby infrastructure capable of supporting business continuity during rare but impactful incidents.
Environment Consistency
Infrastructure across environments needed to be mirrored to ensure consistent behaviour during deployments and recovery events.
Manual Infrastructure Provisioning
Environment provisioning was largely manual and time-consuming, making it difficult to scale and respond quickly to operational requirements.
Lack of Automated Data Replication for Dev/Test
There was an opportunity to introduce a reusable approach for replicating selected production data to development environments securely.
The CE Approach
Cloud Elemental partnered closely with stakeholders to design a future-ready infrastructure model prioritising automation, resilience, and operational efficiency.
Environment Discovery Workshops
Reviewed existing infrastructure and disaster recovery processes
Identified manual steps and potential operational risks
Defined opportunities for automation and infrastructure standardisation
Cross-Account Architecture Design
Designed a scalable standby infrastructure across AWS accounts
Implemented automated backup and restore mechanisms
Established patterns for repeatable environment deployment
Validation of Backup & Restore Paths
Tested recovery workflows to confirm they met operational requirements
Verified data restoration and failover procedures
Ensured recovery strategies aligned with governance expectations
Delivery & Operational Alignment
Delivered a documented infrastructure blueprint and automation model
Established a repeatable deployment process using infrastructure-as-code
Provided guidance for operational adoption and long-term scalability
Our Solution
Standby Infrastructure for Disaster Recovery
A mirrored disaster recovery environment was deployed using AWS-native services and infrastructure-as-code automation.
The solution included:
Replication of key infrastructure components across primary and standby environments
Continuous and interval-based database backups stored in a centralised vault
Automated restoration workflows enabling rapid recovery
Traffic management configurations were designed to allow seamless redirection to the standby environment during a recovery event.
This approach created a ready-to-use fallback environment that could be activated quickly while maintaining cost efficiency during normal operations.
Automated Database Replication Framework
A mirrored disaster recovery environment was deployed using AWS-native services and infrastructure-as-code automation.
To support future development workflows, Cloud Elemental proposed an automated framework for replicating selected production data.
This framework was designed to:
Trigger replication workflows through CI/CD automation pipelines
Transfer controlled subsets of production data to development environments
Provide secure and compliant data handling processes
Although implemented as a recommended pattern, this automation framework provides a scalable foundation for future development and testing environments.
Our Results
Improved Disaster Recovery Posture
A standby disaster recovery environment provides a reliable fallback path that supports business continuity.
Infrastructure-as-Code Consistency
Automated infrastructure deployment ensures environments are created consistently and reliably.
Operational Efficiency Through Automation
Previously manual processes were streamlined using automated workflows, improving speed and reliability of infrastructure changes.
Foundation for Secure Data Workflows
A scalable framework enables safe replication of production data for future development and testing scenarios.
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