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Automatically discovers and exposes all numerically representable configuration fields as metrics.
Distinct from Numeric Fields: Distinct from Numeric Fields: focuses on automatic discovery and exposure of numeric fields from configuration, not just field type definitions.
Explore 3 awesome GitHub repositories matching data & databases · Auto-Discovered. Refine with filters or upvote what's useful.
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- mjl-/mox
mjl-/mox
5,713Ver en GitHubMox is a self-hosted email server that runs as a single compiled Go binary, handling the full lifecycle of sending and receiving email through SMTP, IMAP4rev2, and a built-in webmail application. It is designed to be operated without external dependencies or runtime plugins, with all mail services — including spam filtering, queue management, and web interfaces for administration and account management — contained in one executable. The server distinguishes itself through automated TLS certificate management via ACME, DNS-based autoconfiguration for email clients, and file-based configuration
Publishes configuration via SRV records and profiles so email clients can set up accounts automatically.
Go - cortexproject/cortex
cortexproject/cortex
5,751Ver en GitHubCortex is an open-source, horizontally scalable metrics platform that ingests, stores, and queries Prometheus-compatible time-series data with multi-tenant isolation. It accepts metrics via Prometheus remote write and OpenTelemetry, executes PromQL queries against both recent and historical data, and provides a Prometheus-compatible alerting and recording rule engine with an integrated Alertmanager. The system is built as a set of independently scalable microservices that use hash-ring-based sharding, gossip-based cluster membership, and tenant-aware object storage to distribute workloads acro
Cortex automatically discovers and exposes all numerically representable fields from the limit configuration, including booleans and durations converted to float64.
Gocncfhacktoberfestkubernetes - datlechin/tablepro
datlechin/TablePro
4,471Ver en GitHubTablePro is a cross-platform database management client designed for browsing, querying, and administering both SQL and NoSQL databases. It functions as a unified workspace that integrates a code-centric SQL editor with schema visualization tools, allowing developers to manage complex data models and execute queries across diverse database engines. The application distinguishes itself through an agentic AI integration layer that connects language models directly to database tools, enabling automated query generation, optimization, and error fixing with configurable approval gates. It features
Automatically discovers attributes and infers data types by sampling items within schemaless database collections.
Swift
