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Real-Time Observability in the Cloud
Detect, prevent, and resolve business-impacting incidents faster with a custom observability platform built in the cloud with ease.
Build a Real-Time Observability Platform with Confluent and Imply
As business shifts more and more to real-time everything, engineering and operations teams face mounting pressures to track and respond to every indicator and issue across increasingly complex application environments. According to the Uptime Institute, >60% of technology failures result in at least $100,000 in total losses.
Built in the cloud with managed services Confluent and Imply, a robust analytics solution for scaled operational visibility based upon streaming data allows you to run the business confidently while saving time and reducing operational costs. Benefits include:
Detect system-wide issues earlier and prevent incidents.
Respond to open incidents proactively and resolve faster.
Deeply analyze all systems and make more informed decisions.
Build with Confluent
This use case leverages the following building blocks:
Reference Architecture
Confluent and Imply provide a complete, cloud-native data architecture for developing real-time analytics applications to query and visualize critical metrics at scale including latencies, error rates, overall service health statuses, and more.
Source operational data like logs, metrics, and traces from across your entire business including on-prem, cloud, and hybrid environments.
Access and prepare operational data as data streams with Confluent Cloud, a cloud-native and complete service for Apache Kafka®.
Ingest, query and even visualize Confluent data streams in real time and at any scale with Imply Polaris, a fully-managed Apache Druid® service.