123 Dyno autoscales to keep your application in a configurable range of response times, adjusting as your app slows down or speeds up. Scale off of ground truth response metrics.
Scale statically, dynamically, via different metrics, via pruned URLs, and separately for upscaling and downscaling. Use the standard preset or configure to exactly what you’re stack needs. 123 Dyno gives you complete elegant control.
Choose from 5 metrics to scale your application from. 95th percentile, avg response, max response, average load, maximum load. Every app is different and 123 Dyno provides metrics to accommodate a wide variety of preferences and stack needs.
Custom tune your autoscaling to only the number of dynos you need, scale up under load and down during quiet periods automatically. Get fine-grained control over the number of dynos you want in your bill.
Just install and configure. Built off of Heroku Logplex you can run it on any Heroku web dyno using simple, secure Heroku single sign-on. Load monitoring and analytics start on install.
Get path-specific insights into your application under load, which paths are performing poorly, and which are fast. More than just brute autoscaling, 123 Dyno gives you the tools to analyze and make your app more performant, saving you more money.
Remove outlier URLs that throw off scaling statistics, like socket.io requests or long-running file uploads. Save money and stop increasing your formation for bad response time data.
123 Dyno’s Beta period is completely free for early adopters and will remain so for 2 months after it releases to general availability.
The available application locations for this add-on are shown below, and depend on whether the application is deployed to a Common Runtime region or Private Space. Learn More
Region | Available |
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United States | Available |
Europe | Available |
Region | Available | Installable in Space |
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Virginia | Available | |
Oregon | Available | |
Frankfurt | Available | |
Tokyo | Available | |
Sydney | Available | |
Dublin | Available |
To provision, copy the snippet into your CLI or use the install button above.