deployramp

Rust SDK for DeployRamp — AI-native feature flag management with gradual rollouts, real-time updates, and automatic error-monitored rollbacks.

Installation

cargo add deployramp

Or add to Cargo.toml manually:

[dependencies]
deployramp = "0.1"

Quick Start

use deployramp::{init, flag, report, close, Config};

fn main() {
    init(Config {
        public_token: "drp_pub_your_token".to_string(),
        ..Default::default()
    }).expect("failed to initialize DeployRamp");

    // Evaluate a feature flag
    if flag("new-checkout-flow", None) {
        process_new_checkout();
    } else {
        process_old_checkout();
    }

    // Report errors — DeployRamp uses these to auto-roll back bad deploys
    if let Err(e) = process_checkout() {
        report(&e.to_string(), None, Some("new-checkout-flow"), None);
    }

    close();
}

Trait-Based Targeting

use deployramp::{init, flag, set_traits, Config};
use std::collections::HashMap;

init(Config {
    public_token: "drp_pub_your_token".to_string(),
    ..Default::default()
}).unwrap();

// Update traits after login
let mut traits = HashMap::new();
traits.insert("plan".to_string(), "enterprise".to_string());
traits.insert("cohort".to_string(), "beta".to_string());
set_traits(traits);

// Evaluate with per-call trait overrides
let mut overrides = HashMap::new();
overrides.insert("cohort".to_string(), "alpha".to_string());
let enabled = flag("beta-feature", Some(&overrides));

Measure Performance

use deployramp::measure;

let result = measure(
    "fast-algorithm",
    || new_algorithm(&data),
    || old_algorithm(&data),
    None,
);

API Reference

Links

• deployramp.com
• GitHub
• crates.io
• docs.rs

License

MIT