ABOUT THE CLIENT
The client is a Fortune 500 company in the telecommunications sector, operating a large-scale infrastructure to support critical, data-intensive services. With a strong focus on innovation and reliability, their business depends on ensuring seamless operations across many regions and countries.
CHALLENGE
The client’s existing monitoring solution, Google Cloud Stackdriver, fell short in addressing the complexities of their dynamic Kubernetes environment. It lacked integration with tools like Helm and Terraform, resulting in inconsistencies across 12 clusters and 60+ nodes. The ephemeral nature of Kubernetes pods led to gaps in monitoring, while Stackdriver's inability to process custom metrics hindered visibility into critical workloads like Kafka, Spark, and Druid. Additionally, limited visualization and cumbersome alerting made it difficult to detect and resolve incidents promptly.
SOLUTIONS
We deployed a Prometheus-based monitoring solution to address the client’s challenges. Cluster-level Prometheus instances were installed using Helm charts, and a central Prometheus instance aggregated metrics for unified monitoring. Grafana was integrated for real-time dashboards, offering comprehensive visibility into system and application health. Custom exporters were developed for critical workloads like Kafka, Spark, and Druid, ensuring seamless metric collection. Icinga was incorporated for actionable alerting, enabling faster incident response. To support scalability and long-term data storage, Thanos was implemented, allowing distributed querying and historical trend analysis, which optimized resource utilization.
