A microservices architecture consists of many different distributed parts that have to be monitored. Multiple tools are available, I have mentioned a few of them below.

The right tool will depend on the type, scale and tech stack of your application.

1. Logstash: Logstash is a data pipeline which provides a centralized area where logs and data from a variety of systems are stored and are monitored if any further subsequent actions are required.

2. Reimann: Riemann is a monitoring tool that aggregates events from hosts and applications and can feed them into a stream processing language to be manipulated, summarized, or actioned. The idea behind Riemann is to make monitoring and measuring events an easy default.

3. Prometheus: Prometheus is an open-source toolkit for monitoring and alerting based on an embedded times-series database, a query dsl and various mechanics for scraping metrics data off endpoints.

4. Kibana: Kibana supports some features like visualizing monitoring data across elastic stack can view the health and performance data for Elasticsearch, Logstash, and Beats in real time, as well as analyze past performance.

5. Glowroot: Glowroot is the fast, simple and clean application performance monitoring tool that traces errors and slow requests. It also offers support for visualizing response time percentiles and breakdown in charts.

6. AWS cloudwatch: You can use Amazon CloudWatch to collect and track metrics, centralize and monitor log files, set alarms, and automatically react to changes in your AWS environment.

7. Datadog: Monitoring your microservices with Datadog allows you to visualize how your services interact at a glance so you can quickly locate problems and begin troubleshooting.

8. LightStep: LightStep delivers unified visibility and observability across the multi-layered architecture. It allows teams to identify and resolve regressions, regardless of the complexity and scale of the system. It helps to improve the way you build and operate microservices.

9. Graylog: Graylog is used in conjunction with LogStash as a centralized server. With its usage, one can easily explore data within the system. Moreover, it's easily scalable.

https://www.javatpoint.com/microservices-monitoring-and-virtualization-tool