Loki

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.

Prometheus is a Cloud Native Computing Foundation monitoring system and time-series database. It collects metrics from configured targets at intervals, evaluates rule expressions, displays results, and can trigger alerts when specified conditions occur. Its architecture uses a multi-dimensional time-series data model, the PromQL query language, an HTTP pull model, service discovery or static target configuration, and autonomous single-server nodes without a dependency on distributed storage. It is distributed as precompiled binaries, Docker images, and source code, with graphing, dashboarding, federation, and an intermediary gateway for batch-job metric pushes.

An open-source distributed tracing backend developed by Grafana Labs. Tempo ingests traces via Jaeger, Zipkin and OpenTelemetry (OTLP), stores trace data in scalable object stores (Amazon S3, Google Cloud Storage, Azure Blob Storage, MinIO) using a chunk-based, low-index architecture, and exposes query APIs compatible with Jaeger/OTLP with tight integration into Grafana for visualization. It is available under the Apache 2.0 license and can be run self-hosted (Docker, Kubernetes/Helm) or used as a managed service on Grafana Cloud.

Superlog is an open-core, self-hosted observability workspace for OpenTelemetry data, developed by Superlog Labs. It ingests traces, logs, and metrics, groups noisy signals into incidents, and provides a local-first interface for investigating production systems. The open-source community edition includes a web app and API, an OTLP intake proxy, worker processes for incident grouping and background jobs, a Postgres schema, ClickHouse-backed telemetry queries, and pluggable agent-runner interfaces with a default runner that records a local incident summary. The repository is licensed under Apache License 2.0; a hosted Superlog Cloud edition is also available with a free tier, pay-as-you-go plan, and monthly credit packs.

LogDeck is a self-hosted control plane for Docker and Podman, distributed as a single Go binary. It tails container logs into a local SQLite store so history survives restarts, redeployments, and container removal, with full-text search, log-level and time-range filters, live streaming, and downloads. It also manages containers and Compose stacks, provides a WebSocket terminal, resource and environment-variable editing, alert rules, CPU and memory statistics, and connections to local or remote hosts over SSH. An included MCP server lets compatible AI assistants read logs, inspect containers, view events and statistics, and perform container actions according to scoped API-token permissions. A command-line client exposes log, statistics, lifecycle, Compose, and alert operations over the HTTP API. LogDeck supports Docker-compatible Podman endpoints, optional authentication, and read-only mode.