Careem boosts cost efficiency and reliability by driving autonomous operations with Dynatrace

Careem, an Uber company, is building the Everything App for the Middle East. The app helps people travel around, order food and groceries, manage payments, and access a growing range of everyday services. To support its growth, Careem is focused on building reliable services, scaling its platform, strengthening its data foundations and using AI to improve productivity. Today, Careem runs entirely on AWS, providing a modern, scalable cloud foundation that supports more than 800 microservices on Amazon EKS and billions of API calls. At this scale, maintaining high availability and cost efficiency is critical to delivering the reliable, seamless experiences customers expect.

Observability has always been critical to maintaining reliable business operations and customer experiences at Careem. As the company expanded its services and technology estate, its observability requirements grew significantly in scale and sophistication. Careem had built a broad set of monitoring capabilities across metrics, logs and traces, supported by approximately 10,000 engineering hours each year and analysis of 40TB of raw logs per day. But to support its next phase of growth, the company saw an opportunity to evolve towards a more unified, enterprise-grade platform that could scale efficiently, provide teams with more consistent insight and accelerate incident resolution. This would also create a stronger foundation for Careem’s ambition to move towards increasingly autonomous operations.

Careem selected Dynatrace due to its ability to provide AI-powered observability across its AWS environment, including its mobile applications, backend services, Amazon EKS and Kafka, within a unified platform. Dynatrace also offered strong cost governance capabilities, which Careem saw would enable teams to manage usage and control overages. Another differentiator was the speed at which Dynatrace could be adopted. With automatic instrumentation, Careem could roll out Dynatrace across its large-scale environment and become self-sufficient without relying on a systems integrator.

“As an Everything App, Careem brings many services together in one place, and we wanted the same principle to apply to our observability platform,” said Alaa Alkhdarat, Senior SRE Manager at Careem. “Dynatrace gives us a one-stop shop for monitoring, acting as an authoritative source of truth across our technology estate. The various capabilities it provides including AI-powered root cause analysis, log management and user experience monitoring are essential to helping Careem progress from reactive incident response to proactive and increasingly autonomous operations.”

• Reduced operational costs: By consolidating its fragmented observability tools into Dynatrace, Careem eliminated the overlap, infrastructure costs, and manual maintenance associated with its legacy stack. This has saved approximately 10,000 engineering hours annually and has reduced observability costs by 65%. Careem has reinvested that reclaimed capacity into higher-value initiatives, including AI-driven product development and service maturity programs, creating a more sustainable cost profile as the Everything App continues to scale.
• More reliable services: Dynatrace gives Careem’s engineering teams full stack observability across its microservices estate and automated root cause analysis. This has reduced mean time to detect by 84% to under two minutes, helping teams identify root causes more than six times faster, and reduced the severity and duration of incidents. Meanwhile, Careem’s digital and product teams use Dynatrace to understand how services are performing for customers, so they can refine specific experiences across the Everything App, from rides to meals. Together, these capabilities help Careem support its goal of maintaining a 99.99% availability SLA on cost-efficient infrastructure.
• Optimized log management: Dynatrace has helped Careem make its use of logs more targeted, efficient and valuable. Previously, teams relied heavily on raw log analysis as the primary way to investigate issues, which created high levels of noise, cost and operational overhead. With Dynatrace, Careem can centralize the most relevant logs alongside metrics and traces, giving teams the context they need to understand issues faster. This has strengthened visibility while improving governance, reducing unnecessary data volume and creating a more cost-efficient observability model.
• Autonomous operations: Careem is using Dynatrace to support its shift toward AI-driven auto-remediation and self-healing systems. When Dynatrace detects an incident and identifies that the root cause was a recent deployment or configuration change, Careem’s systems can automatically trigger a rollback to the last known stable version without intervention. Its AI incident management agent also integrates with Dynatrace to surface context, suggest likely root causes, and guide on-call engineers through resolution, helping Careem move towards increasingly autonomous operations.

“Dynatrace has helped us shift observability from something we had to build and maintain ourselves into a capability we can use to advance the business,” said Ricardo Fernandes, VP Software Engineering at Careem. “With automated data collection across our stack and AI-powered root cause analysis, our teams are freed from so much of the noise and manual work that previously slowed them down. That means they can focus more of their energy on building the products, services, and experiences that matter most to our customers.”

Published 2026