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Use Case

Standardize Development, Test and Production Environments

Standardize development, test and production environments with code and containers, so software behaves the same everywhere and releases fail less.

The Challenge

Why Environments Behave Differently

Development, test and production drift apart. Code that works in one fails in another.

Environment Drift

Settings and versions differ between environments.

Manual Setup

Environments built by hand.

Waiting Teams

Developers wait for test environments.

Is This Relevant?

Is This Use Case Relevant to Your Organization?

The people, moments and signals that usually bring this need to the surface.

Relevant Teams

  • Engineering teams
  • Platform teams
  • Quality assurance

Common Triggers

  • Release failures caused by environment differences
  • Long waits for test environments
  • Adoption of containers

Warning Signs

  • “Works on my machine” problems
  • Hand-built test environments
  • Different versions in each environment

Typical Environments

  • Public cloud, private cloud and on-premises
  • Servers, networks, databases and containers

Benefits

What Better Looks Like

Intended benefits. Actual results depend on your environment and starting point.

Repeatable Environments

Defined in code and built the same way.

Fewer Surprises

What works in test works in production.

On-Demand Environments

Test environments created when needed.

Controlled Changes

Environment changes reviewed and tracked.

Our Approach

A Practical Approach

Codify one environment first, then reuse the patterns. Each stage is tailored to your environment.

Assess

Review environments, provisioning steps, tools and change processes.

Prioritize

Rank what you find by business impact, effort and risk, and agree where to start.

Design

Agree module structure, standards and the review workflow.

Implement

Write templates, automate provisioning and configuration.

Validate and Optimize

Rebuild environments from code and compare results.

Technology

Technology Options

Where technology fits in the approach. Specific platforms and partner status are confirmed for each engagement.

Infrastructure as Code Tools

Tools that provision infrastructure from templates.

Configuration Management Tools

Tools that keep system configuration consistent.

Policy Engines

Automated checks for security and cost policies.

Before You Start

What to Consider Before Getting Started

A little preparation makes the first assessment faster and its findings more reliable.

  • Environments and their differences today
  • Containers or virtual machines
  • Test data management
  • Cost of on-demand environments
  • Who will own the work and act on recommendations
  • Engagement model and ongoing support

Measuring Success

How to Measure Success

Illustrative measures. Agree a baseline first, and keep targets separate from measured results.

Environment Setup Time

Time to create an environment.

Environment-Related Failures

Failures caused by differences.

Configuration Drift

Differences between environments.

Wait Time

Time teams wait for environments.

Our Approach

How We Deliver Results

How Signisys works, from the first assessment to handover and beyond.

Learn More

01

A Defined Methodology

Every engagement follows the Signisys delivery methodology, with agreed stages, checkpoints and handover.

02

Agreed Baseline

Each engagement records your starting point first, so progress is measured against where you began.

03

Skills Matched to the Work

Each engagement is staffed for the platforms and skills in scope, agreed with you during planning.

04

Clear Success Measures

Success measures are agreed at the start and reviewed with you at every checkpoint.

FAQs

Frequently Asked Questions

Common questions about this use case.

How do we know our environments are inconsistent?

Failures that appear only in production, hand-built test environments and different software versions are the usual signs.

Will on-demand environments raise costs?

They are created when needed and removed after, which often costs less than environments running all the time.

What information is needed to get started?

How environments are built today, the tools used, known differences and how test data is managed.

Which environments does this apply to?

Public cloud, private cloud and on-premises, including servers, networks, databases and containers.

How is progress measured?

Agree a baseline for measures such as environment setup time, environment-Related failures, configuration drift and wait time, then track them over time.

Related Content

Related Outcomes, Use Cases and Guides

Where to go next: the outcome this use case supports, nearby scenarios, technology partners and practical guides.

Problem Explainer

What Causes Inconsistent Software Environments? Common Problems and Warning Signs

Coming soon

How-To Guide

How to Standardize Development, Test and Production Environments: A Practical Step-by-Step Guide

Coming soon

Checklist

Standardize Development, Test and Production Environments Checklist: What IT Teams Should Assess

Coming soon

Decision Guide

How to Choose the Right Approach to Standardize Development, Test and Production Environments: Options and Trade-Offs

Coming soon

Standardize Environments

Share your current challenges and priorities with Signisys to explore an approach suited to your environment.

Book a Consultation

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