1. Is Opsani a one-time thing for each of my services?

The Opsani cloud optimization platform continuously monitors your connected services and deploys additional optimizations. This is notably useful in cases where new code is deployed, new instance types are released, or load pattern changes for your service. These cases illustrate the demand for Cloud Optimization.

2. Do you optimize VMs or is this container only? 

The Opsani cloud optimization platform can optimize Windows and Linux applications in bare metal, VMs, or containers.

3. How can you be sure your optimization process is driving the correct solution if my service is impacted by other up/down-stream services?

This is a common use case. During our optimization/measurement cycles, we pull the appropriate data from your APM tool(s) so that the ML algorithm accounts for these dependencies when deciding an optimal configuration for the service.

4. Can Opsani optimize applications in production?

The Opsani cloud optimization platform can optimize applications in isolated test networks with load generators, as well as production applications interacting with live traffic.

5. What computer resources do I need to run Opsani?

The Opsani management and AI/ML algorithms reside in our SaaS component.  In your environment, the Opsani Servo software doesn’t need to reside within your app. It runs in Docker or Kubernetes, and only requires 1 CPU core and 256MB of RAM.

6. How does Opsani determine performance of my service?

The Opsani cloud optimization platform can ingest all sorts of performance-based metrics, including (but not limited to):

  • Throughput (transactions per minute)
  • Latency of transaction (average, median, p50, p90,etc.)
  • Error rates (database exceptions, garbage collection, failures, etc.)
  • Impacting downstream services (like an authentication service for token for verification).

As long as these metrics are exposed in your current monitoring system(s), we can pull and leverage them to determine the appropriate “performance score” during optimization.

To learn more about Cloud Optimization, head here.