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From Overstaffed to Optimised:
How SupportSages helped a development company rebuild DevOps for Efficiency and Scale.

About the Client

SupportSages partnered with a fast-growing product development company with 100+ Developers delivering projects to multiple clients globally. Their infrastructure was cloud-native, containerized, and automation-driven, requiring modern DevOps expertise. However, their DevOps operating model was misaligned with actual workload and business needs.

The Challenges

The evaluation showed the environment required only ~80 DevOps hours per month, far below the capacity of three full-time engineers. Re-hiring would have led to under utilization, while senior talent was costly and slow to recruit.

DevOps Overcapacity

DevOps Overcapacity

The team operated with 3 full-time DevOps Engineers. The actual demand required only ~80 hrs/ month, spread across 2 shifts.

Talent Attrition and Knowledge Disruption

Talent Attrition and Knowledge Disruption

All 3 Engineers resigned sequentially, disrupting infrastructure operations and continuity.

Cost Inefficiency

Cost Inefficiency

The workload could not justify three full-time engineers. Re-hiring would only repeat the cost imbalance.

High Recruitment Complexity

High Recruitment Complexity

Hiring DevOps Engineers was costly and slow, increasing financial and operational inefficiency.

The strategic shift by SupportSages

Instead of hiring another in-house DevOps Engineer, the company chose SupportSages' DevOps as a Service (DaaS) support. They opted for a flexible 80 hrs/ month engagement with full 24/7 availability support coverage.

Predictable monthly cost model

Right Sized DevOps Support

The model aligned with the 80 hrs monthly workload, eliminating idle costs while enabling on-demand scalability.

01Right Sized DevOps Support graphic

Improved Availability

The solution provided 24/7 coverage, faster incident response, reduced downtime, and production-grade monitoring improvements.

04Improved Availability graphic

Cost Optimization

Reduced monthly AWS cost from:
US$ 23,000 → US$ 15,000.
A monthly savings of US$ 8,000.

02Cost Optimization graphic

Multi Tool Expertise

The engagement delivered Kubernetes optimisation, IaC implementation, CI/CD automation, cloud cost control, and improved reliability, security, and performance.

05Multi Tool Expertise graphic

Improved Quality & Automation

CI/CD pipelines were strengthened and infrastructure standardised through IaC, reducing manual effort and improving reliability.

03Improved Quality & Automation graphic

Business Impact!

Our client realized that, DevOps is not about headcount. It’s about capability, reliability, and outcomes.
By shifting from a resource-based model to an outcome-driven DevOps service model, they transformed DevOps from a cost center into a performance accelerator.

   Predictable monthly  cost model

Predictable monthly cost model

  Saved US$ 8,000 per month  on AWS costs

Saved US$ 8,000 per month on AWS costs

 Eliminated hiring and attrition risks

Eliminated hiring and attrition risks

 Improved reliability and deployment quality

Improved reliability and deployment quality

   Predictable monthly  cost model

Access to senior level DevOps expertise

  Saved US$ 8,000 per month  on AWS costs

Increased ROI from cloud infrastructure

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