Creating a full-fledged API requires resources, both time and money. You need to think about the model, the design, the REST principles, etc., without writing a single line of code. Most of the time, you don't know whether it's worth it: you'd like to offer a Minimum Viable Product and iterate from there. I want to show how you can achieve it without writing a single line of code. The solution The main requirement of the solution is to use the . It's a well-established Open Source SQL database. PostgreSQL database Instead of writing our REST API, we use the PostgREST component: PostgREST is a standalone web server that turns your PostgreSQL database directly into a RESTful API. The structural constraints and permissions in the database determine the API endpoints and operations. -- PostgREST Let's apply it to a simple use case. Here's a table that I want to expose via a CRUD API: product Note that you can find the whole source code on to follow along. GitHub PostgREST's is pretty complete and works out of the box. Yet, I didn't find any ready-made Docker image, so I created my own: Getting Started guide 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 Start from the latest Debian Parameterize the build Get the archive Install dependencies and unarchive The Docker image contains a executable in the folder. We can "deploy" the architecture via Docker Compose: postgrest /postgrest version: "3"
services:
  postgrest:
    build: ./postgrest                                   #1
    volumes:
      - ./postgrest/product.conf:/etc/product.conf:ro    #2
    ports:
      - "3000:3000"
    entrypoint: ["/postgrest/postgrest"]                 #3
    command: ["/etc/product.conf"]                       #4
    depends_on:
      - postgres
  postgres:
    image: postgres:15-alpine
    environment:
      POSTGRES_PASSWORD: "root"
    volumes:
      - ./postgres:/docker-entrypoint-initdb.d:ro       #5 Build the above Dockerfile Share the configuration file Run the executable postgrest With the configuration file Initialize the schema, the permissions, and the data At this point, we can query the table: product curl localhost:3000/product We immediately get the results: [{"id":1,"name":"Stickers pack","description":"A pack of rad stickers to display on your laptop or wherever you feel like. Show your love for Apache APISIX","price":0.49,"hero":false}, 
 {"id":2,"name":"Lapel pin","description":"With this \"Powered by Apache APISIX\" lapel pin, support your favorite API Gateway and let everybody know about it.","price":1.49,"hero":false}, 
 {"id":3,"name":"Tee-Shirt","description":"The classic geek product! At a conference, at home, at work, this tee-shirt will be your best friend.","price":9.99,"hero":true}] That was a quick win! Improving the solution Though the solution works, it has a lot of room for improvement. For example, the database user cannot change the data, but everybody can actually access it. It might not be a big issue for product-related data, but what about medical data? The PostgREST documentation is aware of it and explicitly advises using a reverse proxy: PostgREST is a fast way to construct a RESTful API. Its default behavior is great for scaffolding in development. When it’s time to go to production it works great too, as long as you take precautions. PostgREST is a small sharp tool that focuses on performing the API-to-database mapping. We rely on a reverse proxy like Nginx for additional safeguards. -- Hardening PostgREST Instead of nginx, we would benefit from a full-fledged API Gateway: enters . We shall add it to our Docker Compose: Apache APISIX version: "3"
services:
  apisix:
    image: apache/apisix:2.15.0-alpine                              #1
    volumes:
      - ./apisix/config.yml:/usr/local/apisix/conf/config.yaml:ro
    ports:
      - "9080:9080"
    restart: always
    depends_on:
      - etcd
      - postgrest
  etcd:
    image: bitnami/etcd:3.5.2                                       #2
    environment:
      ETCD_ENABLE_V2: "true"
      ALLOW_NONE_AUTHENTICATION: "yes"
      ETCD_ADVERTISE_CLIENT_URLS: "http://0.0.0.0:2397"
      ETCD_LISTEN_CLIENT_URLS: "http://0.0.0.0:2397" Use Apache APISIX APISIX stores its configuration in etcd We shall first configure Apache APISIX to proxy calls to : postgrest curl http://apisix:9080/apisix/admin/upstreams/1 -H 'X-API-KEY: 123xyz' -X PUT -d ' #1-2
{
  "type": "roundrobin",
  "nodes": {
    "postgrest:3000": 1                                                             #1-3
  }
}'

curl http://apisix:9080/apisix/admin/routes/1 -H 'X-API-KEY: 123xyz' -X PUT -d '    #4
{
  "uri": "/*",
  "upstream_id": 1
}' Should be run in one of the Docker nodes, so use the Docker image's name. Alternatively, use but be sure to expose the ports localhost Create a reusable upstream Point to the PostgREST node Create a to the created route upstream We can now query the endpoint via APISIX: curl localhost:9080/product It returns the same result as above. DDoS protection We haven't added anything, but we're ready to start the work. Let's first protect our API from Distributed Denial of Service attacks. Apache APISIX is designed around a plugin architecture. To protect from DDoS, we shall use a plugin. We can set plugins on a specific when it's created or on every ; in the latter case, it's a . We want to protect every route by default, so we shall use one. route route global rule curl http://apisix:9080/apisix/admin/global_rules/1 -H 'X-API-KEY: 123xyz' -X PUT -d '
{
  "plugins": {
    "limit-count": {                 #1
      "count": 1,                    #2
      "time_window": 5,              #2
      "rejected_code": 429           #3
    }
  }
}' limits the number of calls in a time window limit-count Limit to 1 call per 5 seconds; it's for demo purposes Return ; the default is 429 Too Many Requests 503 Now, if we execute too many requests, Apache APISIX protects the upstream: curl localhost:9080/product <html>
<head><title>429 Too Many Requests</title></head>
<body>
<center><h1>429 Too Many Requests</h1></center>
<hr><center>openresty</center>
</body>
</html> Per-route authorization PostgREST also offers an Open API endpoint at the root. We thus have two routes: for the Open API spec and for the products. Suppose we want to disallow unauthorized people to access our data: Regular users can access products, while admin users can access both the Open API spec products. / /product and APISIX offers several . We will use the simplest one possible, . It relies on the abstraction. requires a specific header: the plugin does a reverse lookup on the value and finds the consumer whose key corresponds. authentication methods key-auth Consumer key-auth Here's how to create a consumer: curl http://apisix:9080/apisix/admin/consumers -H 'X-API-KEY: 123xyz' -X PUT -d '    #1
{
  "username": "admin",                                                               #2
  "plugins": {
    "key-auth": {
      "key": "admin"                                                                 #3
    }
  }
}' Create a new consumer Consumer's name Consumer's key value We do the same with consumer and key . Now, we can create a dedicated route and configure it so that only requests from pass through: user user admin curl http://apisix:9080/apisix/admin/routes -H 'X-API-KEY: 123xyz' -X POST -d ' #1
{
  "uri": "/",
  "upstream_id": 1,
  "plugins": {
    "key-auth": {},                                                             #2
    "consumer-restriction": {                                                   #2
      "whitelist": [ "admin" ]                                                  #3
    }
  }
}' Create a new route Use the and plugins key-auth consumer-restriction Only -authenticated requests can call the route admin Let's try the following: curl localhost:9080 It doesn't work as we are not authenticated via an API key header. {"message":"Missing API key found in request"} curl -H "apikey: user" localhost:9080 It doesn't work as we are authenticated as , but the route is not authorized for but for . user user admin {"message":"The consumer_name is forbidden."} curl -H "apikey: admin" localhost:9080 This time, it returns the Open API spec as expected. Monitoring 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 as it's Open Source, battle-proven, and widespread. To display the data, we will rely on for the same reasons. Let's add the components to the Docker Compose file: Prometheus Grafana version: "3"
services:
  prometheus:
    image: prom/prometheus:v2.40.1                                    #1
    volumes:
      - ./prometheus/prometheus.yml:/etc/prometheus/prometheus.yml    #2
    depends_on:
      - apisix
  grafana:
    image: grafana/grafana:8.5.15                                     #3
    volumes:
      - ./grafana/provisioning:/etc/grafana/provisioning              #4
      - ./grafana/dashboards:/var/lib/grafana/dashboards              #4
      - ./grafana/config/grafana.ini:/etc/grafana/grafana.ini         #4-5
    ports:
      - "3001:3001"
    depends_on:
      - prometheus Prometheus image Prometheus configuration to scrape Apache APISIX. See the full file here Grafana image Grafana configuration. Most of it comes from the configuration by APISIX. provided Change the default port from to to avoid conflict with the PostgREST service 3000 3001 Once the monitoring infrastructure is in place, we only need to instruct APISIX to provide the data in a format that Prometheus expects. We can achieve it through configuration and a new global rule: plugin_attr:
  prometheus:
    export_addr:
      ip: "0.0.0.0"             #1
      port: 9091                #2 Bind to any address Bind to port . Prometheus metrics are available on on the Docker network 9091 http://apisix:9091/apisix/prometheus/metrics We can create the global rule: curl http://apisix:9080/apisix/admin/global_rules/2 -H 'X-API-KEY: 123xyz' -X PUT -d '
{
  "plugins": {
    "prometheus": {}
  }
}' Send a couple of queries and open the Grafana dashboard. It should look similar to this: Conclusion Creating a full-fledged REST(ful) API is a huge investment. One can quickly test a simple API by exposing one's database in a CRUD API via PostgREST. However, such an architecture is not fit for production usage. To fix it, you need to set a façade in front of PostgREST, a reverse proxy, or even better, an API Gateway. Apache APISIX offers a wide range of features, from authorization to monitoring. With it, you can quickly validate your API requirements at a low cost. The icing on the cake: when you've validated the requirements, you can keep the existing façade and replace PostgREST with your custom-developed API. The source code is available on . GitHub To go further: PostgREST Getting started with Apache APISIX Apache APISIX plugins Originally published at on November 20th, 2022 A Java Geek

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Creating a Poor Man's API Using PostgREST 

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