CASE STUDYReal Estate

How Anacity Achieved End-to-End Application & API Visibility with Atatus

Drezga improved reliability, reduced MTTR by 85%, and cut cloud costs by 30% using Atatus comprehensive monitoring and optimization insights.

Company: Anacity
Company Size: 1001 - 5000 employees
Location: India
How Anacity Achieved End-to-End Application & API Visibility with Atatus

Results at a Glance

Troubleshooting Time
-35%
Reduction in investigation time
Mean Time to Resolution
-48%
Faster root cause identification
Operational Overhead
-30%
Less manual effort for the DevOps team
Error-to-API Correlation
100%
Errors traced directly to source API
Onboarding Time
<1 day
Vs. weeks managing Grafana + Prometheus
Platform Uptime
99.9%
Maintained as the platform scaled

Fragmented Visibility Slowed Down Troubleshooting

Anacity is a mobile-first SaaS platform transforming residential and commercial real estate experiences through digital community and workplace management solutions. As part of the ANAROCK Group, Anacity operates at scale across multiple regions, supporting thousands of communities and hundreds of thousands of users globally.

As the platform scaled, Anacity's engineering team needed continuous, deep performance visibility across applications and APIs without adding operational overhead. Existing metrics and dashboards couldn't clearly connect an error to the exact service or API causing it, which slowed down production troubleshooting.

Key Challenges

  • Complex configuration and ongoing maintenance
  • Fragmented visibility across services and APIs
  • No direct correlation between errors, performance metrics, and API endpoints
  • Longer incident investigation times due to context switching between tools

Unified APM and API Analytics with Atatus

Anacity evaluated observability tools with a clear requirement: cost-effective, end-to-end visibility with minimal setup effort. Atatus stood out by delivering unified Application Performance Monitoring (APM) and API Analytics, with automatic correlation between transactions, errors, and APIs, onboarding faster than the team's prior approach of managing Grafana and Prometheus manually.

Today, Anacity uses Atatus to monitor performance across critical production workloads, tracking application performance, analyzing API latency and error rates, and troubleshooting incidents with correlated metrics, traces, and errors.

Implementation Steps

  • Track application performance using APM
  • Analyze API latency, failures, and error rates
  • Pinpoint where errors originate and how they impact user workflows
  • Troubleshoot incidents with correlated metrics, traces, and errors

Technologies Used

APMAPI AnalyticsDistributed TracingError Tracking

True End-to-End Observability, Immediately Measurable

With Atatus in place, Anacity achieved true end-to-end observability across its applications and APIs. The results were immediate and measurable, giving the team faster root-cause identification and a more stable platform as it continued to scale.

Key Achievements

  • ~35% reduction in troubleshooting time
  • Faster identification of root causes during production incidents
  • Reduced operational overhead for the DevOps team
  • More stable application performance as the platform scaled
"What used to take hours to investigate now takes minutes. The correlation between errors and APIs has made incident response far more efficient."
Anacity
DevOps Engineer