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🏒 Media Streaming

OpenTelemetry Across 80 Microservices β€” MTTR from Hours to Minutes

17/45Project Reference
10 weeksEngagement Duration
4 architectsZippyOPS Team
4Measurable Outcomes
The Challenge

What the Client Was Facing

A media streaming company had 80 microservices with no distributed tracing and no log correlation. When performance degraded, engineers had to manually search logs across 80 services to find the root cause β€” a process that took hours and was frequently inconclusive.

Our Role

What ZippyOPS Was Engaged To Do

ZippyOPS was brought in to design and implement a solution addressing the root causes of the client's challenges β€” delivering measurable outcomes within a fixed engagement timeline. Our team worked embedded with the client's engineers throughout the entire project.

The Solution

How We Solved It

ZippyOPS instrumented all 80 services with OpenTelemetry, deployed Tempo for distributed tracing and Loki for correlated log storage. A unified Grafana dashboard enabled trace-to-log correlation and SLO dashboards with error budget burn rate alerts were configured for each service.

Technologies Used

OpenTelemetry Grafana Tempo Loki Prometheus Kubernetes Helm Python Go Java agents
The Results

Measurable Outcomes Delivered

βœ“

100% of 80 microservices instrumented with distributed tracing

βœ“

Root cause identification time reduced from hours to under 10 minutes

βœ“

SLO dashboards active for all services with error budget burn rate alerting

βœ“

Mean time to resolve production issues reduced 68%

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