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InfluxDB
Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
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clojure-dsl-resources
A curated list of Clojure resources for dealing with domain-specific languages.
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Jetty
Eclipse Jetty® - Web Container & Clients - supports HTTP/2, HTTP/1.1, HTTP/1.0, websocket, servlets, and more
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SaaSHub
SaaSHub - Software Alternatives and Reviews. SaaSHub helps you find the best software and product alternatives
Github repository with source code: https://github.com/dzer6/calc
Dockerfile sets up a containerized environment for the application, leveraging Amazon Corretto 22 on Alpine Linux. It downloads the AWS OpenTelemetry Agent (you can use the standard one if you don't need AWS-related) to enable observability features, including distributed tracing, and then copies the application JAR file into the container. Environment variables are configured to include the Java agent for instrumentation and allocate 90% of available RAM (which is useful for a container-based setup). Finally, it exposes port 8080 and specifies the command to start the Java application server.
Compojure's DSL for web applications makes it easy to set up REST API routes with corresponding HTTP methods. Adding a Swagger API descriptor through libraries like ring-swagger provides a visual interface for interacting with the API and enables client code generation. You can use the Prismatic schema library for HTTP request validation and data coercing to ensure the API consumes and produces data that conforms to predefined schemas. Compojure's middleware approach allows for modular and reusable components that can handle cross-cutting concerns like authentication, logging, and request/response transformations, enhancing the API's scalability and maintainability.
The session logs show that the application loads configurations and establishes a connection with a PostgreSQL database. This involves initializing a HikariCP connection pool and Flyway for database migrations. The logs confirm that the database schema validation and migration checks were successful. The startup of the Jetty HTTP server follows, and the server becomes operational and ready to accept requests on the specified port.
The session logs show that the application loads configurations and establishes a connection with a PostgreSQL database. This involves initializing a HikariCP connection pool and Flyway for database migrations. The logs confirm that the database schema validation and migration checks were successful. The startup of the Jetty HTTP server follows, and the server becomes operational and ready to accept requests on the specified port.
Using Docker Compose to run Postgres and any third-party services locally provides a streamlined and consistent development environment. Developers can define services in a docker-compose.yml file, which enables them to configure and launch an entire stack with a single command. In this case, Postgres is encapsulated within a container with predefined configurations. Docker Compose also facilitates easy scaling, updates, and isolation of services, enhancing development efficiency and reducing the setup time for new team members or transitioning between projects. It encapsulates complex configurations, such as Postgres' performance monitoring and logging settings, in a manageable, version-controlled file, simplifying and replicating the service setup across different environments.
This article will explain how to write a simple service in Clojure. The sweet spot of making applications in Clojure is that you can expressively use an entire rich Java ecosystem. Less code, less boilerplate: it is possible to achieve more with less. In this example, I use most of the libraries from the Java world; everything else is a thin Clojure wrapper around Java libraries.