Observability of Confluent Platform on AWS EKS with DataDog
Blog post from Confluent
Integrating Confluent Platform with Datadog on AWS's Elastic Kubernetes Service (EKS) allows organizations to enhance the monitoring and management of their Apache Kafka deployments. This setup facilitates collecting comprehensive telemetry data from Kafka, providing insights into the health and performance of real-time data pipelines. By deploying Confluent for Kubernetes (CFK), a cloud-native control plane, users can manage Confluent in private cloud environments using a declarative API. Datadog, an analytics tool, helps visualize Kafka's performance in real time, enabling operations teams to correlate these metrics with other applications and create tailored alerts. Installing Datadog agents across Kubernetes nodes ensures robust monitoring of Kafka clusters, while the integration offers a centralized dashboard to monitor various Kafka components. This comprehensive visibility supports proactive responses, secures data pipelines, and maintains overall system health, making it a preferred solution for many Confluent customers.
| Trend | Post Mentions | Total Month Mentions | Posts | Companies | MoM |
|---|---|---|---|---|---|
| Kubernetes | 20 | 1,567 | 184 | 64 | +9% |
| Real-time | 3 | 1,312 | 394 | 133 | -2% |
| Data Pipeline | 1 | 484 | 117 | 47 | +49% |
| Observability | 1 | 1,225 | 214 | 64 | +27% |
| RAG | 1 | 11 | 8 | 4 | 0% |
| Serverless | 1 | 1,400 | 167 | 69 | +31% |
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