Enhance IBM DataPower performance monitoring with IBM Instana Observability
IBM Instana Observability: A completely automated application performance management (APM) solution called IBM Instana Observability (Instana) was created to address the difficulties in managing microservices and cloud-native applications. Instana automatically makes your services and apps visible, adds context to the information that is seen, and then gives you the option to respond intelligently based on that information.
IBM Instana can be integrated with a wide range of middleware products:
- IBM MQ
- IBM API Connect
- IBM Integration Bus (IIB)
- IBM DataPower Gateway
Over 200 technologies are monitored by Instana, including cloud and infrastructure-related, tracing, alerting and notification, CI/CD, logging, and metrics technologies.
Integrating IBM DataPower with Instana Observability
- Application performance: IBM Instana can track the response times, throughput, and error rates of your applications while they run on IBM DataPower.
- Infrastructure health: You can use IBM Instana to keep an eye on the network, CPU, and memory utilization of the infrastructure that supports your IBM DataPower instances.
- Log analysis: For your IBM DataPower instances, IBM Instana can also offer log analysis, enabling you to spot issues and do troubleshoot.
- API performance: IBM DataPower is frequently used to expose APIs, and IBM Instana can track these APIs’ traffic, error rates, and response times.
- Ethernet Interfaces metrics (e.g., TX Bytes, RX Bytes, RX Drops, etc.)
- Transaction tracing: IBM Instana can offer in-depth tracking of transactions that move through IBM DataPower, providing you with information about the functionality and performance of your applications.
- The ability to monitor all forms of IBM DataPower in both traditional and cloud deployments
- Active connections of SQL data source.
Built-in events of IBM DataPower
IBM DataPower Appliance
CPU usage as a percentage of appliances: Determines whether the appliance’s CPU utilization percentage is too high.
Appliance memory usage: determines whether the appliance’s memory use % is too high.
system load as a percentage of appliances: determines whether the appliance load percentage is too high.
Appliance condition: checks to see if the status of the appliance is up.
IBM DataPower Domain
Domain percentage of memory usage: Domain memory use as a proportion determines whether a domain’s memory consumption % is too high.
IBM DataPower Service
Memory use as a percentage of services: determines whether the service’s memory utilization is too high.