Adaptive Observability for Microservices
What do you like best about the product?
Quite easy to install and Intuitive to use
What do you dislike about the product?
Asks: Alerting on aggregated events due to singular cause instead of multiple alerts would be a very useful add on
What problems is the product solving and how is that benefiting you?
OpsCruise was set up to monitor and observe our Kubernetes environment.
Opscruise metric/log collection is built on industry-standard open telemetry and open source tools. It was straightforward to use the product, and we could visualize the application in 10 minutes or so. The experience of deploying the observability platform was extremely good.
Once deployed, we could observe the various interactions among the microservices at different levels - virtual machines, shared resources/environments, networking. Incidents that happen can be contextually viewed at multiple layers to resolve them fast, e.g., noisy neighbor....
Baselining the behavior and alerting for anomalies happens automatically without the need to set explicit thresholds for different parameters. This greatly reduces operator errors. Any change to a micro-service or adding another service is also baselined. It eliminates the need to review any previously used alerting mechanisms based on the human experience. Once an alert is raised, Root Cause Analysis provides insights leading to faster isolation/resolution.
Opscruise provides an adaptive observability solution that future proofs our environment.
Opscruise metric/log collection is built on industry-standard open telemetry and open source tools. It was straightforward to use the product, and we could visualize the application in 10 minutes or so. The experience of deploying the observability platform was extremely good.
Once deployed, we could observe the various interactions among the microservices at different levels - virtual machines, shared resources/environments, networking. Incidents that happen can be contextually viewed at multiple layers to resolve them fast, e.g., noisy neighbor....
Baselining the behavior and alerting for anomalies happens automatically without the need to set explicit thresholds for different parameters. This greatly reduces operator errors. Any change to a micro-service or adding another service is also baselined. It eliminates the need to review any previously used alerting mechanisms based on the human experience. Once an alert is raised, Root Cause Analysis provides insights leading to faster isolation/resolution.
Opscruise provides an adaptive observability solution that future proofs our environment.
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