Skip to content
MarketScale
‹ Back to IndustriesEngineering & Construction

Your DevOps maturity journey – part 2

Is your process for delivering new software applications detailed and compliant? If your organization is struggling with concerns around continuous delivery, integration, and validation, DevOps can help. DevOps is a software engineering practice that aims at unifying software development (Dev) and software operation (Ops). DevOps principles call for monitoring all steps of software creation, beginning…

This story was produced through MarketScale. See how Engineering & Construction teams put it to work with Partner & Channel Enablement.

Share
Your DevOps maturity journey – part 2

Is your process for delivering new software applications detailed and compliant? If your organization is struggling with concerns around continuous delivery, integration, and validation, DevOps can help. DevOps is a software engineering practice that aims at unifying software development (Dev) and software operation (Ops). DevOps principles call for monitoring all steps of software creation, beginning with integration, testing, and release, and then moving on to deployment and infrastructure management. This approach leads to a more effective and efficient process, leading to shorter development cycles.

GalaxE can help you benchmark your current DevOps maturity and has provided a roadmap to reach your full potential. Let’s take a brief look at the first four tiers:

Tier 0: Traditional Waterfall – Traditional waterfall is the most basic form of software development. It is a step-by-step, serial process where each phase is completed before moving on to the next. Completing each step before moving on creates easy-to-maintain recordkeeping as the organization moves toward compliance. However, this approach is often more costly and less efficient than more agile approaches, since issues are typically discovered very late in the process.

Tier 1: Iterative Waterfall – Rather than creating one big software release at the end of the development process, an iterative waterfall creates multiple “mini-releases”. There are still distinct phases, but they are intertwined and overlap with one another. Process decomposition and process isolation are used to protect each part of the process. As each phase is completed, it is released to ensure it is working properly. This helps reduce risk and provides incremental delivery of value.

Tier 2: Early Reviews – Demos, visualization, process reviews, and business simulations are used to gather valuable feedback early in the development process. These early reviews give visibility to the project, provide confirmation of value, and help engage the user community. Early reviews allow the software project team to focus on the right items and take preventative steps to improve the probability of success.

Tier 3: Agile Team – In this approach, separate agile teams are designated for each step of full integration of new software. The teams work together to ensure agility and continuity. As each dedicated team focuses on addressing issues in its part of the process, its members gain valuable expertise, reducing wait times and the need for rework.

After climbing these tiers, an organization will move through Tiers 4-6: Transition to Agile, Agile Practices, and CI/CV/CD (Continuous Integration/Continuous Validation/Continuous Development), before reaching the highest level, Tier 7: DevOps. DevOps uses integrated delivery of development, support, and operations, along with automation and monitoring at all steps of software construction. This allows for more frequent releases in order to “fail faster,” resulting in more dependable software.

What’s different about the GalaxE approach is the capabilities of our enablement tools GxMaps™, GxDash™, and GxQuality™, which are a natural progression from QA automation. Once integrated, these tools enhance redundancy, diversity, reliability, and fault tolerance at the highest of levels. Integrating these solutions into your business is essential for efficient adaptation to shifting markets, regulation, and customer demands. Without them, businesses risk being outpaced by the competition.

Learn more about GxMaps™ application dependency mapping software and how it can help you achieve DevOps environments at https://galaxe.com/gx-maps/.

Read more at galaxe.com

Engineering & Construction: are you visible to AI?

Before they reach out, Engineering & Construction buyers ask AI engines which vendors to trust. See how AI describes your company today, and where competitors show up instead.

Free workspace

You just read one expert. Imagine publishing your whole team.

This article was produced through MarketScale. Create a free workspace and turn your own team's expertise into articles, video, and social posts. No credit card, no demo required.

NPS +73 · 1,000+ creators · 38+ countries

What you get, free

Your own MarketScale Studio workspace
One video edit a month, on us
AI writing, editing, and publishing tools
In-platform coaching to learn the system

More Engineering & Construction Insights

AI moves from back office to job site in construction's next build-out

AI moves from back office to job site in construction's next build-out

McCarthy Building Companies has entered a multimillion-dollar agreement with Palantir to enhance AI adoption. However, RICS experts highlight that data readiness and organizational culture pose significant challenges. This development signals a shift in integrating AI within construction sectors.

  • 01McCarthy Building Cos. signs a major deal with Palantir.
  • 02Data readiness is a critical hurdle for AI integration.
  • 03Organizational culture impacts AI adoption in construction.

Jul 11, 2026

South Korea commits $7.5 billion to AI-autonomous manufacturing as smart factory count hits 30,000

South Korea commits $7.5 billion to AI-autonomous manufacturing as smart factory count hits 30,000

South Korea is investing $7.5 billion in advancing AI-autonomous manufacturing, with a significant increase in smart factories, now totaling 30,000. The initiative also targets the development of 100 AI manufacturing zones throughout the country.

  • 01South Korea invests $7.5 billion in AI-autonomous manufacturing.
  • 02There are currently 30,000 smart factories in South Korea.
  • 03The government aims to develop 100 AI manufacturing zones.

Jul 11, 2026

Construction's productivity crisis: why ML cost forecasting and off-site methods are converging

Construction's productivity crisis: why ML cost forecasting and off-site methods are converging

U.S. construction productivity has decreased since 1968. Machine learning models and off-site construction methods are becoming pivotal in bridging this productivity gap by providing accurate cost forecasting and efficient building practices.

  • 01U.S. construction productivity has been declining since 1968.
  • 02Machine learning models offer enhanced cost forecasting capabilities.
  • 03Off-site construction methods contribute to improved project efficiency.

Jul 10, 2026

Explore More Engineering & Construction Insights

Read more expert perspectives from across Engineering & Construction.

Browse Engineering & Construction Hub

For B2B teams

Your experts could be publishing here

Stories like this one run on content MarketScale captures from real practitioners. See how your team's expertise becomes coverage in Engineering & Construction and beyond.

Book a 15-minute demo

Or call us. No forms required. We pick up. 214-945-2512