How Skai eliminated tech stack blind spots and achieved continuous governance

From manual spreadsheets to agentic automation: Bridging the gap between IDP visibility and infrastructure remediation at enterprise scale

In this Case Study
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01
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PROBLEM

The "Visibility-Action" Gap

Skai had already achieved a level of platform maturity many companies strive for. They had an Internal Developer Portal (IDP), a comprehensive service catalog, and automated "Gold Standard" maturity checks. However, they hit a wall: Visibility is not Governance. While the IDP could tell them what they owned, it couldn't tell them what was aging, what was drifting, or what required immediate action. This created three critical operational "friction points":

‍The Spreadsheet Hassle
‍To manage deprecations, the team relied on a manual "Runtime Version Lifecycle" spreadsheet. Architects were forced to painstakingly track EOL dates for over 30 distinct technologies - from Kubernetes and MySQL to Spring Boot and Python packages.

Deep Runtime Blind Spot
‍There was no automated way to see which specific runtimes were active inside microservices or Lambda Docker images. Identifying workloads relying on deprecated versions was a manual, error-prone scavenger hunt.

‍Financial Exposure and "Surprise" Costs
‍Without temporal awareness of when infrastructure would decay, Skai had no reliable way to anticipate AWS extended support charges, which at times could run at a rate of tens of thousands of dollars per year. This created real budget uncertainty and exposed the team to potentially significant unplanned costs, turning maintenance planning into a reactive exercise instead of a strategic one.

“We had a catalog. We had maturity checks. What we didn’t have was a system that could tell us what was actually aging, what mattered most, and how to drive action across teams”
Miki Manor

Miki Manor

Director of Infrastructure Engineering

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Solution

Agentic Tech Stack Governance

Skai deployed Draftt as the "Intelligence Layer" sitting atop their existing infrastructure and IDP. By connecting directly to Skai’s AWS estate, Draftt began scanning EKS clusters, RDS instances, and Lambda functions to turn static data into Agentic Governance.

‍ECR & EKS Intelligence
‍Draftt instantly mapped ECR repositories against live EKS deployments to reveal which microservices were running on deprecated or vulnerable runtimes.

‍Drift & Decay Detection
‍The system highlighted underlying EC2 OS versions and tracked Pulumi-managed resources that had strayed from their declared state.

‍Automatic Ownership Resolution
‍Draftt identified "zombie" infrastructure and resources with stale team tags, ensuring every issue was routed to a living, breathing owner.

‍Waste Elimination
‍The platform systematically flagged idle resources and EBS volumes unaccessed for 90+ days, immediately impacting the bottom line.

“We built a process around quarterly reviews to force teams to look at what mattered beyond daily feature work. Draftt turns that periodic discipline into a continuous governance system”
Miki Manor

Miki Manor

Director of Infrastructure Engineering

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Impact

From "Ceremony" to "Continuous”

By moving governance out of the meeting room and into an automated platform, Skai transformed their operational efficiency.

‍Predictable TCO
‍With Draftt’s predictive EOL tracking, Skai gained the ability to forecast these charges months in advance and incorporate them into infrastructure planning with far greater confidence. What was once difficult to anticipate became visible early enough to enable more disciplined decision-making, tighter budget control, and a more proactive approach to lifecycle management. These costs are now treated as a visible and measurable part of Skai’s broader Total Cost of Ownership (TCO) metrics.‍

Risk-Free Infrastructure Upgrades
‍Draftt gave Skai the level of visibility needed to approach infrastructure upgrades with significantly more confidence. By completely removing blind spots across the EKS environment and surfacing risks earlier, the team reduced last-minute uncertainty and made upgrades more deliberate, controlled, and operationally safe.‍

Governed Remediation
‍Instead of relying on spreadsheets or allowing issues to disappear into Jira backlogs, Skai now operates with a more structured remediation model. Engineers receive prioritized, owner-assigned issues directly within their existing workflows, with clear accountability and progress tracking. This turned remediation from an ad hoc effort into a governed, continuous process that could scale across teams.

For Ski, the partnership with Draftt represents the future of Platform Engineering: A world where the service catalog provides the structure, but the intelligence layer provides the action.

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