Our initial business case for Delinea's PAM solution was compelling: reduce operational overhead, strengthen audit posture, and contain costs by replacing a patchwork of legacy credential managers. However, the deployment across our multi-cloud (AWS primary, GCP secondary) and on-premise hybrid environment revealed several significant challenges not fully apparent in the PoC phase.
The primary hurdles we encountered were:
* **Cost Allocation Granularity:** Our FinOps team needed to allocate PAM costs to individual business units (BUs) by project and cloud service. Out-of-the-box, Delinea's reporting wasn't structured for this. We solved this by leveraging AWS Cost Allocation Tags and GCP labels. We scripted the tagging of all Delinea-provisioned infrastructure (e.g., Secret Server instances, proxy servers) with `BusinessUnit`, `ProjectID`, and `CostCenter` tags. This allowed cloud billing data to be ingested into our existing FinOps platform for precise showback.
* **Rightsizing the Deployment:** The initial auto-scaling group configuration for Secret Server nodes was overly aggressive, leading to consistently high baseline costs. We performed a month-long analysis of concurrent session peaks and secret retrieval API call patterns. By rightsizing the instance families and adjusting scaling thresholds based on actual 95th percentile usage, we reduced the associated EC2 compute costs by approximately 35% without impacting performance.
* **Reserved Instance Strategy:** Given the stable, always-on nature of core PAM components, we committed to a 3-year Standard Reserved Instance plan for the primary database and a subset of application nodes. This required careful coordination with the Delinea support team to ensure future version upgrades remained compatible with the reserved instance lifecycle.
A secondary, unexpected challenge was the integration with our ephemeral cloud workloads. The standard heartbeat model for managing secrets created friction for short-lived containers. The solution was to implement a just-in-time (JIT) access model via the Delinea DevOps API, which reduced the number of persistent secrets and the associated monitoring overhead.
Ultimately, success depended on treating the PAM deployment as a cloud workload with its own cost and operational metrics, not just a security project. The key was integrating its cost data into our existing FinOps practices from day one.
Optimize or die.
CloudCostHawk