Environments on Demand: Eradicating 'Works on My Machine'

Inconsistent environments are a productivity killer and a source of endless 'works on my machine' debates. We engineer solutions that provide instant, consistent, and disposable environments for every developer, every feature, and every test run, accelerating feedback cycles and eliminating integration headaches.

What We Build With It

We engineer self-service environment platforms that accelerate development, improve quality, and optimize cloud spend.

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Self-Service Environment Provisioning

Platforms that allow developers to spin up full, production-like environments for their features on demand, without manual ops intervention.

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Ephemeral Environments for Pull Requests

Automatically creating temporary environments for every pull request, enabling early integration testing, stakeholder reviews, and rapid feedback loops.

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Automated Environment Lifecycle Management

Implementing policies for automatic teardown of idle or stale environments, ensuring resources are optimally utilized and costs are controlled.

Why Our Approach Works

Automated environments are not just a convenience; they are fundamental to modern, efficient software delivery.

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Drastically Faster Development Cycles

Developers spend less time waiting for environments and more time coding, accelerating feature delivery and innovation.

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Enhanced Quality & Reliability

Testing in production-like environments from day one catches bugs earlier, leading to fewer production incidents and higher software quality.

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Significant Cost Savings

Eliminating idle resources and optimizing environment lifecycles ensures you only pay for what you use, when you use it.

Our Go-To Stack for Environment Automation

We leverage a powerful combination of Infrastructure as Code, containerization, and orchestration tools to build robust environment automation.

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Infrastructure as Code

Terraform, Pulumi, CloudFormation for defining and managing environments declaratively.

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Containerization & Orchestration

Docker, Kubernetes, Helm for packaging and deploying consistent application stacks.

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CI/CD Platforms

GitHub Actions, GitLab CI, Jenkins to trigger and manage automated environment provisioning.

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Environment Management Platforms

Custom solutions built on cloud APIs, or specialized tools like Humanitec, for orchestrating complex environment lifecycles.

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Observability

Prometheus, Grafana for monitoring environment usage and health.

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Secrets & Config Management

HashiCorp Vault, AWS Secrets Manager, and External Secrets Operator for secure runtime configuration.

Ready to Accelerate Your Development Workflow?

Let's automate your environments to eliminate friction, boost productivity, and get features to market faster.

Automate Your Environments

Frequently Asked Questions

What are ephemeral environments and why are they so powerful?

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Ephemeral environments are temporary, on-demand environments created for a specific purpose (like testing a feature branch) and automatically destroyed when no longer needed. They ensure consistency, reduce costs, and accelerate testing by providing a clean slate for every task.

How do you handle sensitive data and configurations in automated environments?

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We use secrets management solutions like HashiCorp Vault, AWS Secrets Manager, or Azure Key Vault. Configurations are injected at runtime, ensuring sensitive data is never hardcoded and environments remain secure.

Can this work with our existing legacy applications?

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Yes. While easier with cloud-native apps, we can containerize or use virtual machine templates combined with IaC to bring even legacy applications into an automated environment provisioning system, often as a first step in modernization.

How do you prevent 'resource leakage' and runaway costs?

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We implement strict TTL (Time to Live) policies and automated cleanup jobs that destroy idle or stale environments. We also set granular budget alerts and resource quotas to ensure that automation doesn’t lead to unexpected bills.

How do you handle database state in temporary environments?

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We use automated data ‘seeding’ or snapshots. For every new environment, we spin up a fresh, anonymized version of your database, ensuring that developers have realistic data to test against without the risk of using production PII.

Does this replace a shared 'staging' environment?

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Often, yes. By giving every developer their own ‘staging-like’ environment, you eliminate the bottleneck of teams waiting for their turn to test on a shared cluster, significantly increasing the organization’s delivery velocity.