A poor man's API

This page summarizes the projects mentioned and recommended in the original post on dev.to
#Database #Dashboard #Monitoring #API #Metrics

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  • postgrest

    REST API for any Postgres database

    FROM debian:bookworm-slim #1 ARG POSTGREST_VERSION=v10.1.1 #2 ARG POSTGREST_FILE=postgrest-$POSTGREST_VERSION-linux-static-x64.tar.xz #2 RUN mkdir postgrest WORKDIR postgrest ADD https://github.com/PostgREST/postgrest/releases/download/$POSTGREST_VERSION/$POSTGREST_FILE \ . #3 RUN apt-get update && \ apt-get install -y libpq-dev xz-utils && \ tar xvf $POSTGREST_FILE && \ rm $POSTGREST_FILE #4

  • poor-man-api

    Note that you can find the whole source code on GitHub to follow along.

  • SonarQube

    Static code analysis for 29 languages.. Your projects are multi-language. So is SonarQube analysis. Find Bugs, Vulnerabilities, Security Hotspots, and Code Smells so you can release quality code every time. Get started analyzing your projects today for free.

  • PostgreSQL

    Mirror of the official PostgreSQL GIT repository. Note that this is just a *mirror* - we don't work with pull requests on github. To contribute, please see https://wiki.postgresql.org/wiki/Submitting_a_Patch

    The main requirement of the solution is to use the PostgreSQL database. It's a well-established Open Source SQL database.

  • apisix

    The Cloud-Native API Gateway

    Grafana configuration. Most of it comes from the configuration provided by APISIX.

  • prometheus

    The Prometheus monitoring system and time series database.

    A much-undervalued feature of any software system is monitoring. As soon as you deploy any component in production, you must monitor its health. Nowadays, many services are available to monitor. We will use Prometheus as it's Open Source, battle-proven, and widespread. To display the data, we will rely on Grafana for the same reasons. Let's add the components to the Docker Compose file:

  • Grafana

    The open and composable observability and data visualization platform. Visualize metrics, logs, and traces from multiple sources like Prometheus, Loki, Elasticsearch, InfluxDB, Postgres and many more.

    A much-undervalued feature of any software system is monitoring. As soon as you deploy any component in production, you must monitor its health. Nowadays, many services are available to monitor. We will use Prometheus as it's Open Source, battle-proven, and widespread. To display the data, we will rely on Grafana for the same reasons. Let's add the components to the Docker Compose file:

  • etcd

    Distributed reliable key-value store for the most critical data of a distributed system

    APISIX stores its configuration in etcd

  • InfluxDB

    Build time-series-based applications quickly and at scale.. InfluxDB is the Time Series Platform where developers build real-time applications for analytics, IoT and cloud-native services. Easy to start, it is available in the cloud or on-premises.

  • apisix-dashboard

    Dashboard for Apache APISIX

    Instead of nginx, we would benefit from a full-fledged API Gateway: enters Apache APISIX. We shall add it to our Docker Compose:

NOTE: The number of mentions on this list indicates mentions on common posts plus user suggested alternatives. Hence, a higher number means a more popular project.

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