Grafana Tempo

Grafana is an open-source observability and data visualization platform for querying, visualizing, alerting on, and understanding metrics, logs, and traces from multiple data sources. It provides client-side graphs and panel plugins, reusable dashboards with template variables, ad hoc metric queries and drilldowns, log search with preserved label filters, and alert rules that can send notifications to systems such as Slack, PagerDuty, VictorOps, and OpsGenie. Queries can combine different data sources in the same graph, including Prometheus, Loki, Elasticsearch, InfluxDB, PostgreSQL, and other custom data sources. The project is distributed under AGPL-3.0-only, with Apache-2.0 exceptions documented in its licensing files.

OpenTelemetry is an open-source, vendor-neutral observability framework for cloud-native software. It provides APIs, SDKs, automatic-instrumentation agents, and collector services for capturing distributed traces, metrics, logs, and contextual metadata such as baggage. Its context-propagation mechanism correlates telemetry across service boundaries and carries trace identity through an application’s request path, including standard HTTP communication. The OpenTelemetry Collector receives, processes, filters, and routes telemetry to observability backends such as Jaeger, Prometheus, commercial systems, or custom solutions. It supports native SDKs for more than 12 languages and is hosted as a graduated project by the Cloud Native Computing Foundation.

Loki is an open-source log aggregation system developed by Grafana Labs that indexes and queries logs using Prometheus-style labels instead of full-text indexing. It ingests log streams via shippers such as Promtail, Fluentd, or other collectors, stores data in local or object-storage backends, and is queried with the LogQL language; it integrates with Grafana for visualization and is available for self-hosting or via Grafana Cloud.

Temporal is a durable execution platform developed by Temporal Technologies for building scalable applications and workflows. Its server executes application logic as Workflows, automatically handling intermittent failures and retrying failed operations so applications do not need to implement all timeout, retry, and recovery logic themselves. Developers implement Workflows, Activities, and Workers with SDKs for multiple programming languages, then use the Temporal server, CLI, and Web UI to run and inspect them. The open-source Temporal server originated as a fork of Uber's Cadence and is distributed under the MIT License.

Jaeger is an open-source distributed tracing platform for monitoring and troubleshooting workflows in complex distributed systems. It maps requests and data as they move across services, helping identify performance bottlenecks, trace errors to their root causes, and analyze service dependencies. Jaeger can receive OpenTelemetry trace data, including traces exported from MLflow's OpenTelemetry-compatible tracing setup.