No Clear Way to Pinpoint Transaction Failures
GlobalPOS powers real-time retail transactions, from gift card issuance and redemption to payment processing across multiple channels. As the platform expanded across retailers and partners, its architecture evolved into a highly API-driven, integration-heavy system and with that scale came a critical challenge: a lack of visibility across transaction flows.
When a gift card failed to redeem or a payment API slowed down, engineers had no clear way to pinpoint where the issue occurred. Debugging meant switching between multiple tools, logs, and systems, while root cause analysis remained slow and reactive delays the business couldn't afford in a high-volume, revenue-critical environment.
Key Challenges
- Lack of visibility across gift card issuance, redemption, and payment transaction flows
- No clear way to pinpoint where a failed redemption or slow payment API originated
- Debugging required switching between multiple tools, logs, and systems
- Root cause analysis remained slow and reactive in a revenue-critical, high-volume environment
Full-Stack Observability for Transaction Systems
GlobalPOS implemented Atatus to gain full-stack observability across its transaction ecosystem without adding operational overhead. The rollout covered critical workflows including gift card issuance, redemption, payment processing, APIs, and third-party integrations.
With unified visibility, the team could trace transactions end to end, identify latency and failure points at the endpoint level, and monitor external dependencies from a single platform. This reduced incident detection time by more than 30% and helped decrease API-related failures by around 25%.
Implementation Steps
- Mapped critical transaction flows including gift card issuance, redemption, and payment processing
- Identified visibility gaps across API chains and external integrations
- Deployed Atatus across backend services and API layers
- Connected POS transactions, payment services, and integrations into a unified view
- Enabled automatic monitoring with minimal setup effort
- Configured real-time alerts for transaction failures and latency spikes
- Traced payment and voucher workflows across distributed systems and third-party dependencies
- Established performance baselines for critical endpoints and monitored them during peak retail traffic
Technologies Used
Faster Detection, Smoother Transactions
Incident detection improved by over 30%, helping teams catch issues before they impact large transaction volumes, while API failures dropped by around 25%, resulting in smoother payment and redemption workflows.
Key Achievements
- Incident detection improved by over 30%, catching issues before they impact large transaction volumes
- API failures dropped by around 25%, resulting in smoother payment and redemption workflows
- Root cause analysis became much faster by moving from multiple tools to a single platform
- Checkout and transaction reliability improved across all channels
- Full visibility into third-party integrations removed guesswork
- A single platform replaced fragmented monitoring tools