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Jul 23, 20255 min read

Scaling with Confidence: How a Leading Childcare SaaS Unlocked Reliability and Savings with Kubernetes

Case Study
Education
AWS icon

When a national childcare SaaS found its growth stalling under aging infrastructure and runaway costs, they didn’t just need a technical fix – they needed a true partner. Together, we built a roadmap to operational resilience and cost efficiency, giving their team the tools and confidence to thrive in the cloud era.

50% Cost
Savings

and Increased Database Performance

99+% Application
Uptime

with Improved Infrastructure Availability

The Client & The Challenge

Serving over 37,000 childcare providers, our client sets the standard for childcare management software – but scaling that success behind the scenes was another story. Their mission: simplify daily operations for centers nationwide, with security, stability and reliability as nonnegotiable features.

Challenges & Pain Points

Stalled Scalability

Legacy AWS EC2 instances put a hard ceiling on how quickly the platform could flex to meet real-world demand – or scale down when business was quiet.

Kubernetes Without the Gains

The idea Kubernetes sounded great, but missing best practices meant the team absorbed all the complexity, with little payoff in speed or uptime.

Team on the Learning Curve

Even the most dedicated internal engineers felt out of their depth with K8s, risking missed steps and fragile operations.

Databases Under Pressure

Heavy queries hit the AWS RDS at peak times — slowing response times during the critical child pickup window and directly impacting the end customer experience.

Consequences of Inaction

Service outages were already common, and scalability was severely limited. Left unchecked, these pain points risked client trust and the ability to deliver on contractual SLAs. Furthermore, innovation velocity and future business growth was hindered by increased operational overhead, maintenance burdens, and dead-end infrastructure.

The Partnership & The Proposition

The call wasn’t for more hands – it was for a seasoned guide. DevIQ rolled up our sleeves, embedding with the client’s application, platform, and DevOps teams to co-create the path forward, always keeping their long-term ownership in sight.

Certifications: AWS Certified Solutions Architect · Kubernetes Administrator · Terraform Associate

Expert Partnership in Action
  • Coaching with Purpose – DevIQ went beyond code, mentoring the client’s team through whiteboard sessions, async chats, and hands-on pairing.
  • Transparent Decision-Making – Every architecture choice was a shared discussion, with DevIQ guiding tradeoffs and always keeping the client’s vision in focus.
  • Pragmatism Over Dogma – We balanced best practices with the client’s unique strengths, adapting solutions to fit their people and pace – not just the tech stack.
Building Lasting Team Confidence
  • From Shadowing to Ownership – The client’s K8s lead moved from cautious learner to confident operator, empowered to run and evolve their clusters.
  • Knowledge Transfer by Design – Documentation and processes were crafted for handoff, not dependency.
  • Stepwise Enablement – Each phase shifted responsibility to the client’s team, ensuring they could own and extend every solution long after launch.

DevIQ was more than a consultant – we were a sounding board and the steady hand that helped the client confidently modernize with reliable clusters, automated pipelines, and standardized infrastructure patterns designed to scale with consistency.

The Solution

Strategy & Approach

Every hero needs a map – and together, we charted one. Our shared strategy tackled reliability gaps head-on, automated what used to be manual, and set up a migration plan that put stability and the client’s peace of mind first. Success meant not just delivering a working solution, but ensuring the client could keep evolving long after our engagement.

Cluster Modernization & Reliability
  • Rebuilt Kubernetes clusters to include critical components for security, monitoring, and resilience.
  • Updated deployment workflows to eliminate configuration drift and "snowflake" environments.
  • Introduced automated checks and governance for consistent best practices.
Infrastructure Automation & DRY Principles
  • Standardized all infrastructure deployments with Terragrunt, reducing duplication and manual steps.
  • Automated provisioning of RDS, Redis, and app stack components to improve repeatability and auditability.
  • Leveraged infrastructure as code for version control, rollback, and rapid recovery.
Risk-Managed Migration & Enablement
  • Piloted phased migration, starting with job workers before the mission-critical app, to limit disruption.
  • Designed a "reverse autoscaling" strategy: scaling job queues down under heavy database load to protect customer experience.
  • Provided ongoing training and documentation to up-skill internal teams for full solution ownership.

Technical Execution

Technologies
  • Languages: Ruby, Bash, HCL (Terraform)
  • Integrations: Azure Active Directory SSO
  • Infrastructure: AWS EKS, RDS, Redis, Terraform, Terragrunt, Argo CD

The team emerged with a robust Kubernetes environment, automated and observable. Argo CD plus SSO meant fast, secure, and auditable deployments. Terragrunt streamlined infrastructure-as-code, creating standardized patterns to deploy and scale efficiently and effectively.

Cloud-Native Platform Excellence
  • Implemented robust observability tooling, enabling real-time monitoring and rapid root cause analysis.
  • Hardened new clusters with automated security and compliance guardrails.
  • Optimized workloads for reliability and high availability, supporting business-critical operations.
Deployment & Release Automation
  • Built GitOps pipelines powered by Argo CD for secure, auditable, and efficient continuous deployments.
  • Integrated SSO (Azure AD) to streamline developer workflows and maintain strict access controls.
  • Enabled automated promotion and rollback to minimize risk during releases.
Team Enablement & Operational Transfer
  • Delivered step-by-step runbooks and documentation tailored to the client’s environment.
  • Shadowed and coached internal engineers, ensuring a true skills transfer for day-2 operations.
  • Structured handoffs so teams could confidently own, monitor, and evolve their cloud environment going forward.

The Results

Built and Shipped

Today, the client ships, manages proactively, and can grow confidently – without firefighting during peak application use.

  • Scalable, Reliable Platform – Their new K8s foundation delivers uptime and elasticity to match business reality.
  • Accelerated Release Cycles – Code-to-production time shrank from days to hours.
  • Up-skilled Teams – Internal engineers now have confidence to maintain and continue optimizing their K8s infrastructure.

By the Numbers

  • 50% Cost Savings – Estimated database cost reduction of up to 50% with smarter scaling and data decoupling.
  • Automated Deployments – Release cycles that used to take hours or days can now be measured in minutes.
  • 99+% Uptime – Improved total system availability above 99% via proactive and prescriptive best DevOps practices.

The Conclusion

Modernizing isn’t just about cutting costs or writing cleaner code – it’s about enabling organizations to grow without fear of failure or surprise outages. With DevIQ as their guide, this aging SaaS didn’t just upgrade or stabilize its infrastructure – they leveled up their team, their confidence, and their future readiness. Now, their engineers are leading the charge, equipped for the next wave of innovation, and prepared to own their success story from here on out.

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