How Middleware Helped Ace Turtle Cut Observability Costs & MTTR by 50%

With Middleware, Ace Turtle unified its observability stack, improving application performance visibility while significantly reducing operational complexity and monitoring costs. The engineering team gained faster incident resolution capabilities, enabling reliable retail operations at scale.

Bengaluru-based Ace Turtle is a technology-driven retail company operating a vertically integrated model spanning design, manufacturing, marketing, and direct-to-consumer operations. The company manages digital platforms and retail operations for global brands including Lee®, Wrangler®, and G-STAR across India and South Asian markets.

As Ace Turtle expanded its digital infrastructure and cloud-native applications, observability became increasingly critical to maintaining application performance and operational reliability.

Scaling Observability for a Growing Retail Technology Platform

With continued infrastructure growth, the engineering team began experiencing limitations in managing observability across multiple monitoring tools. Ace Turtle relied on Datadog and New Relic, which supported earlier operational needs but introduced higher costs and operational fragmentation at scale.

Operating across separate observability platforms made it difficult to maintain centralized visibility across applications and infrastructure. Incident investigation workflows required additional effort, and monitoring efficiency became harder to sustain as system complexity increased.

As such, Ace Turtle seeked a unified observability solution capable of streamlining monitoring, improving incident resolution, and maintaining cost efficiency.

Unified Observability with Middleware

As Ace Turtle evaluated solutions to address growing observability challenges, the engineering team identified Middleware as a platform capable of consolidating monitoring workflows into a unified observability experience.

Middleware enabled the team to reduce reliance on multiple monitoring tools while improving visibility across applications and infrastructure. Unified dashboards and monitoring capabilities simplified operational workflows and supported more efficient incident management.

Following implementation, Ace Turtle observed measurable improvements across monitoring efficiency, incident response, and cost management.

Cost Optimization

Middleware provided improved visibility into monitoring usage and expenses, helping the team better control observability spending.

Faster Incident Recovery

Middleware’s unified observability capabilities improved visibility across Ace Turtle’s applications and infrastructure, enabling the engineering team to identify issues faster and streamline incident investigation workflows.

With centralized monitoring and improved operational clarity, Ace Turtle achieved a 50% reduction in Mean Time to Recovery (MTTR), allowing teams to respond to disruptions more efficiently and maintain system reliability at scale.

Improved Monitoring Efficiency

Middleware’s monitoring capabilities strengthened application performance oversight while contributing to broader operational improvements.

Observability Built for Scale

For Ace Turtle, adopting Middleware represented more than a tooling transition — it established a foundation for continuously evolving observability practices as infrastructure requirements grow.

The engineering team continues to collaborate closely with Middleware to enhance platform usability and expand system visibility. Opportunities such as more granular Real User Monitoring funnel visualizations and improved infrastructure views for managing databases with identical names reflect an ongoing feedback loop between both teams.

This ongoing collaboration highlights Ace Turtle’s approach to observability as an evolving capability supported through continuous iteration and partnership with Middleware, ensuring the platform continues to adapt alongside growing operational needs.