# Ephemeral Test Environments: Sometimes You Just Have to Kill Your Creations > When the shared test environment becomes the bottleneck: what ephemeral environments bring, and what they cost to set up. - Date : 2025-09-12 - Lecture : 8 min - Catégorie : devsecops - Tags : AI, Cloud, Security, Automation, Testing - URL : https://www.adservio.fr/en/insights/articles/environnements-de-test-ephemeres-parfois-vous-devez ## TL;DR - Shared test environments become a bottleneck as teams and microservices multiply. - An ephemeral test environment is isolated, short-lived infrastructure, provisioned on demand for a specific task and then destroyed. - Automation and self-service are essential: a provisioning process that once took weeks can be reduced to minutes. - These environments aren't for everything: a new, loosely coupled project may not need them, unlike brownfield systems or technical debt. - Continuous previews extend this logic by making new features visible and testable for the whole team, not just developers. ## Introduction What happens when you need to scale your testing? A shared test environment is usually the first choice, giving teams a single place to deploy code and build shared context. However, as complexity grows, more developers, additional components, and more microservices, a single test environment stopped being enough. That's where ephemeral test environments come in. ## What is an ephemeral test environment? An ephemeral test environment is an isolated, short-lived infrastructure stack where code can be tested quickly and easily. They are isolated in the sense that they are completely independent of any other part of your infrastructure (no dependencies), and short-lived in that they don't need to persist any longer than a discrete task requires, they can simply be provisioned on demand. They simplify the process and automation tied to your existing orchestration, making them incredibly easy to both create and destroy. ## Why are ephemeral environments needed? ### The single shared environment bottleneck "As you keep growing, as systems age, and as more developers come on board," explains Adservio's infrastructure expert, "you start hitting friction from having a single test environment that everyone deploys to before production, because you're deploying something there just to test it." In these instances, the test environment becomes a bottleneck. "Every team needs the environment to look exactly like production, except for their component, which becomes impractical." ### The temptation of dedicated environments per team Occasionally, organizations try to work around this bottleneck by creating multiple test environments, where each team has its own dedicated environment where, "it can deploy what it's working on, test it, and share context without disrupting other teams." However, this creates a whole new set of challenges. "You end up with the following problem: 'I deployed the new version to my team's test environment and I deployed it to production. But other teams have an older version, should I deploy my new version onto their version? And will I remember to do it? Do I even care?'" This means "either every team is responsible for keeping every part of its environment up to date with the actual state of production, or every team publishing something new has to make sure it gets propagated to all those other test environments." While it's possible to use automation to keep services up to date, this carries a risk: when a team does something new, for example, building a microservice in Kubernetes, the infrastructure automation you've put in place may no longer keep up. > This requires a shift in how we think about things... there's a trade-off at some point between the pain teams experience from highly shared environments that everyone is trying to keep alive, versus a self-service approach. ## Ephemeral test environments in practice ### Completely rethinking the approach Our experts stress that when we talk about ephemeral test environments, we really mean ephemerality. Citing an example of implementing ephemeral environments while working with a client, they emphasize that "we were really trying to encourage a short lifespan... you provision it for that particular Jira card, or to test that bug or make that change. It's not 'create an ephemeral environment for my team,' because the longer they live, the more out of sync they get and the more they can drift." In other words, it's important to completely rethink your approach. "This requires a shift in how we think about things. And I think there's a trade-off at some point between the pain teams experience from highly shared environments that everyone is trying to keep alive, versus a self-service approach." ### Automation and self-service, the keystones > Related read: [Self-healing CI/CD pipelines: self-repair through AI](https://www.adservio.fr/en/insights/articles/pipelines-cicd-auto-reparants-self-healing): Self-healing CI/CD pipelines in 2026: how LLM agents and Kubernetes operators detect, diagnose and fix delivery failures, with guardrails and measurable FinOps gains. Another critical element of ephemeral environments is having the right level of automation so teams can quickly and easily provision test environments. Our experts give the example of an automation platform developed for a client, specifically designed to ease this burden. The manual process, they explain, typically took a few weeks and happened roughly every six months. The result was usually something "very slow, full of errors." But with the automation platform, that was massively reduced; provisioning a new environment went from weeks down to a matter of seconds. "You could click a button and have one ready in 37 minutes. That really helped transform the release process, moving from 'book your release slot and have to go test it and hope it works there,' to something where 'you can trust that when you click publish, it's going to deploy for testing and the tests will complete successfully.'" Our experts also explain how this particular automation platform was built. "It was a very tactical approach of building lightweight automation to take all the manual bits and tie them together," they say. Specifically, "a stack of Lambda functions would provision a Kubernetes cluster and deploy the pieces into a shared Kubernetes cluster. It would also provision a CloudFormation stack with an instance holding all the older monolithic pieces. An orchestrator wired into CI/CD manages all these different pieces in parallel." ## When are ephemeral test environments not appropriate? While ephemeral test environments can be very effective in certain circumstances, that doesn't mean they're always the right option. "If you're building something shiny and new that isn't tightly coupled and has a very clear domain boundary, you might not need it," the expert explains. They're more appropriate for "anything touching brownfield systems or technical debt." If you're trying to break apart a monolith, for example, "you're going to need a fairly heavy cloud test environment, as opposed to being able to run things locally." ## Ephemeral environments and continuous previews Ephemeral test environments share a lot of similarities with another concept that is starting to be discussed more widely across the industry: continuous previews. According to our experts, the two concepts have "significant overlap," but it's important to distinguish between them. Continuous previews, in their view, mean "having a shared place for functionality and new features to be visible and testable." That doesn't just mean automated testing, but also human testing, in other words, continuous previews, by leveraging ephemeral test environments, can let QA leads (and others) quickly try out new things. ### A preview deployed for every pull request Our experts explain how this works: "I create a pull request with a new feature on a branch and you automatically get a version of it deployed online at a separate URL. I can then go and actually look at the new application, and anyone else can click through and view it, and it runs in a shared context. And then, when I actually preview the changes myself... you get that preview deployment." There are significant benefits to such a technique. "It really makes it easy for someone else to be able to look at the work you're doing without having to pull your code and run it locally." This could help team members who aren't especially technical actually go and play with new features before they're actually live. In turn, that means more efficiency in the development and testing process and, ultimately, better-quality software. > Related read: [Shift left testing: benefits and types](https://www.adservio.fr/en/insights/articles/shift-left-testing-benefices): Shift left testing moves testing upstream in the development cycle to catch defects while they're cheap: four approaches, 2026 AI tooling, and the DevSecOps link. ## Simplifying testing when tackling complex development challenges Ephemeral test environments, and related techniques like continuous previews, can deliver significant productivity and quality benefits. It's true that this requires a mindset shift, the idea of creating environments that are, for all practical purposes, highly disposable can seem strange. However, from a software standpoint, this way of working can clearly deliver long-term impact. And in an industry that today is obsessed with seeing AI as the only route to improvement, leveraging other techniques and approaches may well be just as critical as adopting whatever is getting the most attention and hype. Disclaimer: The statements and opinions expressed in this article are those of the author(s) and do not necessarily reflect the positions of Adservio. ## FAQ ### What sets an ephemeral test environment apart from a traditional shared test environment? An ephemeral environment is isolated, independent of other infrastructure components, and provisioned on demand for a specific task (for example a Jira card) before being destroyed. A shared environment, by contrast, stays up permanently and quickly becomes a point of contention between teams. ### Why is automation essential to making this approach work? Without automation and self-service, manual provisioning stays slow and error-prone, several weeks in the example cited. With a dedicated automation platform, a new environment can be ready in a matter of tens of minutes, which changes how confidently teams can rely on their deployments. ### When is it better to avoid ephemeral environments? For a new project that is loosely coupled with clear domain boundaries, they add little value. They're most useful on brownfield systems, technical debt, or when breaking apart a monolith, all of which need a heavier cloud test environment rather than a simple local run.