from reactive fixes to proactive drift detection.
AWS Drift Detection Implementation
The Client
Our client is a large UK-based organisation operating a business-critical cloud platform with high availability and strong governance requirements
As part of preparations to launch a mission-critical application, the client wanted greater confidence that deployed AWS infrastructure remained aligned with approved infrastructure-as-code (IaC). They were particularly concerned about configuration drift – changes made outside of code that could undermine reliability, security, or disaster recovery outcomes.
Cloud Elemental was engaged to assess the problem and design a practical, enterprise-ready drift detection approach.
The Challenge
The client’s platform was deployed using infrastructure-as-code, but there was limited visibility into whether environments continued to match that code once live.
Four specific drift-related challenges were identified:
Undetected Configuration Drift
Manual or ad-hoc changes to AWS resources could go unnoticed, introducing misconfigurations or security gaps that would only surface during an incident or recovery event.
No Automated Drift Detection
There was no standard mechanism to regularly compare deployed infrastructure against the approved IaC baseline across environments.
Reactive, Manual Response
When configuration issues were discovered, remediation required manual investigation and coordination between teams, increasing mean time to resolution.
No Repeatable Pattern
There was no reusable, scalable pattern for detecting drift in environments with higher availability and recovery requirements.
The CE Approach
We worked closely with stakeholders to review their infrastructure deployment workflows and identify areas for automation and improved visibility. The engagement aimed to support proactive configuration management without disrupting existing toolchains or operations.
Our recommendation, while not implemented during the engagement, provided the client with a scalable, low-friction solution for drift detection that aligned with their broader observability and compliance strategy.
Environment Discovery Workshops
Understand existing IaC deployment practices and observability tooling to gauge readiness for drift detection.
Clarified current-state workflows and identified opportunities to integrate drift detection without major disruption.
- A targeted assessment helped ground the recommendation in the client’s real-world tooling and constraints.
Solution Blueprinting
Define a lightweight, maintainable approach to compare deployed AWS infrastructure with approved code.
Designed a scalable detection pattern using native AWS services, with integration points for Jira and Dynatrace.
Design decisions were shaped by simplicity, scalability, and the ability to integrate seamlessly.
Feasibility & Compliance Validity
Assess operational and compliance implications to ensure the solution could be implemented securely and responsibly.
Validated the approach against governance expectations and confirmed its value in improving recovery posture.
Compliance and operational risk were central to determining solution feasibility.
Delivery Planning
Provide a clear, ready-to-deploy recommendation that aligns with stakeholder priorities and enterprise tooling.
Delivered an implementation-ready pattern for the client to adopt as part of a wider infrastructure observability strategy.
Gaining alignment early enables smoother adoption when the business is ready to proceed.
Our Solution
Drift Detection Pattern
We proposed a lightweight, automated approach to identify and respond to infrastructure drift – ensuring any changes outside of code could be quickly surfaced and remediated.
While this approach was fully scoped and recommended, it was not implemented during this engagement.
Key Elements
Scheduled Drift Checks
A daily job (e.g., 8am) would review AWS infrastructure against the defined IaC baseline.
Conditional Action on Drift
If no drift was detected, no action was required. If drift was identified, automated workflows would be triggered.
Integrated Notification Workflow
A Jira ticket would be created and linked to relevant observability tools such as Dynatrace or ServiceNow to notify responsible stakeholders.
Support for Custom Remediation Logic
Stakeholders could define how each type of drift should be handled, with contextual metadata attached for faster resolution.
Intended Benefits
Catch misconfigurations early, before they become incidents
Simple to configure and integrate with existing tooling
Improve auditability and confidence in infrastructure state
Reduce recovery times in disaster scenarios
- Detect potentially malicious or unauthorised changes
Our Results
By introducing automation and a scalable infrastructure model, Cloud Elemental helped the client strengthen the resilience and agility of its cloud platform while reducing operational risk. The solution not only addressed current platform needs but also laid the groundwork for future improvements in delivery speed and environment management.
Actionable Blueprint for Infrastructure Drift Detection
The client now has a clear path to implement proactive drift monitoring, enabling better governance and control across critical environments
Stronger Observability Framework
The recommended pattern extends the client’s observability capabilities, allowing them to see and respond to configuration changes in near real-time
Reduced Operational Risk
Even without implementation, the design improves the client’s understanding of potential vulnerabilities and offers a tangible next step for platform resilience
Template for Future Projects
The drift detection model offers a reusable framework that can be applied across the client’s cloud estate as the organisation continues to scale
This engagement empowered the client with the insight and guidance needed to strengthen governance and platform reliability. Cloud Elemental’s consultative approach delivered a simple, scalable recommendation that enables proactive monitoring of infrastructure state – laying the groundwork for greater operational assurance.
Concerned about infrastructure drift?
If configuration drift could go unnoticed today, your resilience may be at risk. Cloud Elemental designs proactive drift detection frameworks that restore visibility and control.
