opentracing-javascript VS prometheus

Spring Spring web framework Spring WebFlux Reactive REST Services Spring Data R2DBC a specification to integrate SQL databases using reactive drivers Redisson Redis Java Client Zipkin open source, end-to-end distributed tracing Spring Cloud Sleuth auto-configuration for distributed tracing Prometheus monitoring and alerting Grafana for to compose observability dashboards with everything from Prometheus Kubernetes automating deployment, scaling, and management of containerized applications Docker and docker-compose Helm The package manager for Kubernetes Flywaydb for migrations

Elasticsearch client for Go RabbitMQ Go RabbitMQ Client Library Jaeger open source, end-to-end distributed tracing Prometheus monitoring and alerting Grafana for to compose observability dashboards with everything from Prometheus Echo web framework Kibana is user interface that lets you visualize your Elasticsearch Docker and docker-compose Kubernetes K8s Helm The package manager for Kubernetes

PostgeSQL as event store database Kafka as messages broker gRPC Go implementation of gRPC Jaeger open source, end-to-end distributed tracing Prometheus monitoring and alerting Grafana for to compose observability dashboards with everything from Prometheus MongoDB MongoDB database Elasticsearch Elasticsearch client for Go. Echo web framework Kibana Kibana is data visualization dashboard software for Elasticsearch Migrate for migrations

OpenTracing was an open-source project aimed at providing vendor-neutral APIs and instrumentation for distributed tracing. In distributed cloud-native applications, it is difficult for engineering teams to see how requests are performing across services. And that’s where distributed tracing comes into the picture.

OpenTracing is now archived, and it is suggested to migrate to OpenTelemetry.

In this article let's try to create closer to real world Event Sourcing CQRS microservice using: 🚀👨‍💻🙌 EventStoreDB The database built for Event Sourcing gRPC Go implementation of gRPC MongoDB Web and API based SMTP testing Elasticsearch Elasticsearch client for Go. Jaeger open source, end-to-end distributed tracing Prometheus monitoring and alerting Grafana for to compose observability dashboards with everything from Prometheus swag Swagger for Go Echo web framework Kibana Kibana is user interface that lets you visualize your Elasticsearch

Service mesh - ssup2ket services run on service mesh for detailed traffic control and easy monitoring. Service mesh is applied through Istio. Istio uses OpenTracing for easy request tracing between multiple services.

4. Prometheus (prometheus/prometheus) – Metrics Monitoring & Alerting

Tools like Prometheus for metric collection and Grafana for visualization and alerting form the backbone of modern observability stacks, providing the raw data that AI/ML models can then process for predictive insights.

Prometheus - Metrics collection and alerting

Now, let’s implement it using Prometheus syntax:

Official Website: Prometheus

In modern cloud-native applications, observability isn't optional—it's essential. When building distributed applications with Dapr (Distributed Application Runtime), monitoring becomes even more critical to ensure your services behave as expected. Thankfully, Dapr has built-in support for exposing metrics in Prometheus format, making it straightforward to integrate and monitor your applications.

Prometheus is a monitoring system. It collects metrics from your apps and systems and lets you alert when something goes wrong. It’s also written in Go and is part of the Cloud Native stack.

Grafana, Prometheus and Tempo wired up correctly in the docker-compose file

Alternatives to: DuckDB, Apache Cassandra, Amazon RedShift, Google BigQuery, Snowflake, InfluxDB, Prometheus, Amazon Timestream