Showing 3 open source projects for "lag"

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    MongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
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    Build Agents and Models on One Platform

    Everything you need to build production-ready agents and models. Access 200+ Google and third-party AI models and tools.

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    pgactive

    pgactive

    PostgreSQL replication extension to create an active-active database

    ...Traditionally PostgreSQL supports active-standby setups (single writable master), but pgactive opens up use cases such as multi-region high-availability clusters, low-latency writes from distributed apps, and blue/green migrations where both sides are writable. It builds on PostgreSQL’s logical replication framework and offers mechanisms for conflict detection, resolution (e.g., last-write-wins), monitoring of lag and writes across nodes. Because active-active replication introduces new complexity (conflicts, schema changes, write amplification), pgactive provides tools for managing replication sets, conflict logging tables, and administrative commands to detach nodes or remove the extension.
    Downloads: 0 This Week
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  • 2
    PeerDB

    PeerDB

    Fast, Simple and a cost effective tool to replicate data from Postgres

    PeerDB is an open-source platform for real-time replication and transformation of data from PostgreSQL to analytical warehouses like BigQuery and Snowflake. It supports Change Data Capture (CDC) and provides seamless syncing and transformation logic with low latency. PeerDB is ideal for teams building real-time data pipelines without relying on expensive proprietary solutions.
    Downloads: 1 This Week
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  • 3
    check_postgres

    check_postgres

    Nagios check_postgres plugin for checking status of PostgreSQL db

    check_postgres is a Nagios-compatible monitoring plugin for PostgreSQL that provides health checks and performance metrics. It covers dozens of checks such as replication lag, bloat, locks, and cache hit ratio. Widely used by DBAs, it helps ensure PostgreSQL instances remain stable and performant.
    Downloads: 0 This Week
    Last Update:
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