Tune your system live
Adjust rate limits, cache TTLs, and batch sizes instantly
Stop deploying code to change operational parameters. Adjust rate limits, cache durations, connection pools, and batch sizes in real-time without any downtime.
Before & after Replane
See how teams transform their workflow
Without Replane
Hardcoded parameters
Rate limits, timeouts, and batch sizes buried in code. Changes require deploys.
Slow response to load
Traffic spike? You're stuck with current settings until you can deploy.
Risky tuning
Every parameter change requires a full deploy. Hard to iterate quickly.
No real-time visibility
Can't see or change operational values without code access.
With Replane
Externalized parameters
Store all operational values in Replane. Change without touching code.
Instant adjustments
Respond to traffic spikes immediately. Changes apply in milliseconds.
Safe iteration
Every change is versioned. Bad setting? Rollback in one click.
Central visibility
See all operational parameters in one dashboard. No code diving.
Full control, no deploys
Tune your system like a pro without touching code
Instant Apply
Changes take effect in under a second
Zero Downtime
No restarts or deploys required
Full Visibility
All parameters in one dashboard
Unlimited Iterations
Tune as often as needed
Three simple steps
Get up and running in minutes, not hours
Define parameters
Store operational values like rate limits, timeouts, and batch sizes in Replane instead of code.
Monitor performance
Watch your metrics. When you need to adjust, the values are just a click away.
Tune in real-time
Change values and see the effect immediately. No deploy, no restart, no downtime.
Why teams choose Replane
Built for developers who value speed, reliability, and control
Instant adjustments
Changes take effect in milliseconds via SSE. Perfect for responding to traffic spikes.
Zero downtime
Tune parameters without restarts. Your service keeps running while you optimize.
Easy rollback
Every change is versioned. Made things worse? Revert to the previous value in one click.
Works with your stack
Official SDKs for all major languages and frameworks
1import { Replane } from '@replanejs/sdk'2import { RateLimiter } from './rate-limiter'34interface Configs {5 'rate-limit-requests': number6 'rate-limit-window-ms': number7 'cache-ttl-seconds': number8}910const replane = new Replane<Configs>()1112await replane.connect({13 baseUrl: 'https://replane.example.com',14 sdkKey: process.env.REPLANE_SDK_KEY15})1617// Initialize with config values18let rateLimiter = new RateLimiter({19 maxRequests: replane.get('rate-limit-requests'),20 windowMs: replane.get('rate-limit-window-ms')21})2223// Update rate limiter when config changes24replane.subscribe('rate-limit-requests', (config) => {25 rateLimiter.updateLimits({26 maxRequests: config.value,27 windowMs: replane.get('rate-limit-window-ms')28 })29 console.log('Rate limits updated:', config.value)30})3132// Use in request handling33app.use((req, res, next) => {34 if (rateLimiter.isLimited(req.ip)) {35 return res.status(429).json({ error: 'Too many requests' })36 }37 next()38})
Questions about Operational Tuning
Common questions and answers
Rate limits, cache TTLs, connection pool sizes, batch sizes, timeouts, retry policies, and any value you might need to adjust without deploying. If you have ever said "I wish I could change this without a deploy," it belongs in Replane.
Subscribe to config changes and reinitialize the affected component. For example, recreate a connection pool when pool size changes. The SDK makes this easy with its subscribe API.
Yes! Replane natively supports multiple environments within a single project. Each environment (dev, staging, production) has its own SDK key and can have different config values. No need for separate projects.
Replane pushes updates to all connected clients simultaneously via SSE. All instances receive the new value at the same time, ensuring consistent behavior across your fleet.
Start with your current hardcoded values as defaults. Then use your monitoring and observability tools to understand the impact of changes. Replane makes it safe to experiment since you can always rollback.
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