VictoriaMetrics: fast, cost-effective monitoring solution and time series database
- tsdb
- prometheus
- promql
- influxdb
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VictoriaMetrics: fast, cost-effective monitoring solution and time series database
Apache Doris is a real-time analytics and hybrid search database for AI agents.
Highly available Prometheus setup with long term storage capabilities. A CNCF Incubating project.
Cloud-native OSS search engine for observability
Asynchronous Python framework for event-driven services. A thin client for Kafka, RabbitMQ, NATS, Redis and MQTT with full access to native broker features, plus AsyncAPI docs, in-memory tests and observability out of the box.
The fastest unified streaming SQL Engine in a single C++ binary. ⚡ Millisecond latency. 100+ GB/s throughput. Continuously compute stateful context from streams, logs, metrics, events, and CDC.
Percona Monitoring and Management: an open source database monitoring, observability and management tool
Reconcile stuck AI-agent tasks after restarts and timeouts. Preview SQLite changes, close stale delivery states, and never guess success.
Self-hosted monitoring for Docker, Kubernetes and uptime. Single Go binary, no agent config, live alerts. Drop a container, your stack is monitored.
A server that accepts InfluxDB metrics via the HTTP API and exports them via HTTP for Prometheus consumption
Single-binary observability, time-series database, and built-in dashboard for Raspberry Pi, edge devices, and local metrics.
Scalable Full History API Solution for Antelope (former EOSIO) based blockchains
A microservice (sidecar) that helps instantly determine the status of your PostgreSQL hosts including whether they are alive, which one is the master, which ones are replicas, and how far each replica is lagging behind the master.
Realistic synthetic events for testing, demos, and pipelines — streamed live or generated in bulk
Local-first policy gateway for coding agents. Allow, review, or block MCP, shell, SQL, GitHub, and HTTP actions with scoped credentials and signed evidence.
Nova DSO Tracker is an open-source Flask application for astrophotographers, providing real-time tracking of deep-sky objects' altitude, observability prediction, and integration with Stellarium and SIMBAD databases.
Self-hosted 4D spatiotemporal AI platform built on PostgreSQL, PostGIS, TimescaleDB, H3 and pgvector, with anomaly & threat detection, NLQ interface and full observability.
Declarative data quality engine. Define checks in YAML, run anywhere.
A detective for your data. Zero-config data quality monitoring — works with dbt, Postgres, BigQuery, Snowflake. No YAML.
One Go interface, five backends — filelock, flock, Redis, Postgres, etcd. Distributed locks with fencing tokens, semaphore mode, observability hooks, and TraceID propagation. Swap backends with one line.