# How the Fury ecosystem manages high-frequency deployments with automation, monitoring, and resilience

DevFeed: [How the Fury ecosystem manages high-frequency deployments with automation, monitoring, and resilience](<https://devfeed.tech/articles/30-000-deployments-per-day-here-s-how-we-operate-without-losing-our-minds-22549.md>)

Original publisher: [Read original article](<https://medium.com/mercadolibre-tech/30-000-deployments-per-day-heres-how-we-operate-without-losing-our-minds-0eddc0480fb9?source=rss----5011f85401f0---4>)

Author: Juan José Orjuela

Published: 2025-10-21T13:12:29Z

Content type: tutorial

Language: en

Sources: [Mercado Libre Tech](<https://devfeed.tech/sources/mercado-libre-tech.md>)

Topics: [Deployment](<https://devfeed.tech/topics/deployment.md>), [Deployment Strategies](<https://devfeed.tech/topics/deployment-strategies.md>), [Automation](<https://devfeed.tech/topics/automation.md>), [Resilience](<https://devfeed.tech/topics/resilience.md>), [configuration](<https://devfeed.tech/topics/configuration.md>), [Environment Variables](<https://devfeed.tech/topics/environment-variables.md>)

Tags: [architecture](<https://devfeed.tech/tags/architecture.md>), [automation](<https://devfeed.tech/tags/automation.md>), [configuration](<https://devfeed.tech/tags/configuration.md>), [continuous-deployment](<https://devfeed.tech/tags/continuous-deployment.md>), [deployment](<https://devfeed.tech/tags/deployment.md>), [deployment-strategies](<https://devfeed.tech/tags/deployment-strategies.md>), [devops](<https://devfeed.tech/tags/devops.md>), [environment-variables](<https://devfeed.tech/tags/environment-variables.md>), [metrics](<https://devfeed.tech/tags/metrics.md>), [on-call](<https://devfeed.tech/tags/on-call.md>), [optimization](<https://devfeed.tech/tags/optimization.md>), [resilience](<https://devfeed.tech/tags/resilience.md>), [scalability](<https://devfeed.tech/tags/scalability.md>), [vulnerabilities](<https://devfeed.tech/tags/vulnerabilities.md>)

## AI overview

This article explains how the Fury ecosystem defines and manages deployments at high frequency. It covers deployment strategies, configuration changes, automatic redeployments, testing, monitoring, alerts, metrics, and on-call practices intended to maintain operational stability.

## Source excerpt

"How do you manage to perform 30.000 deployments a day and still operate normally?" For many, that number sounds simply unattainable. Deploying thousands of times a day suggests chaos, constant risk, and an operation that's hard to sustain. But the reality is different: not only do we make it possible -- we do it with control, resilience, and full visibility. It's not magic or luck. It's about a deployment ecosystem built to scale, with robust processes, smart automation, and practices that let us maintain stability even with frequent changes. +750K deployments in July 2025, broken down by deployment strategy. In this article, we'll explain how our model works: what we consider a deployment, how our system is structured, what tools we use to monitor operational health, and how we respond to alerts and failures -- whether they happen in test environments or in the most critical areas of the business. Yes, we'll also cover alerts, metrics, and on-call rotations -- and why they're essential to maintaining a continuous and reliable deployment model at this scale. General outline of a deployment in the Fury ecosystem.What do we consider a deployment? In Fury, a deployment isn't just about pushing new code. We consider a deployment to be any action that updates the state of an application in a given environment. For example: Deploying a new code change to the platform using any of our supported strategies, such as Blue-Green, Canary-Safe, Rolling Update, or All-In. Updating environment variables or configuration properties: any change to these parameters requires a deployment, as it involves recreating the application with the new active configuration. Automatic re-deployments: these can be triggered not only due to detected vulnerabilities but also due to optimization opportunities that help reduce computing resource usage and operational costs. Running validations or tests in test environments before promoting changes to production. Supported deployment strategies Our plat