Skip to content
MarketScale
‹ Back to IndustriesIndustrial IoT

Your DevOps maturity journey – part 1

This article introduces DevOps as a software engineering practice that unifies development and operations to create shorter, more efficient development cycles. It outlines how DevOps principles encompass integration, testing, release, deployment, and infrastructure management. The piece appears to be the first in a series exploring DevOps maturity journeys, referencing GalaxE as a related entity.

This story was produced through MarketScale. See how Industrial IoT teams put it to work with AI Visibility (GEO).

By Industrial Iot · Promoted Content
Share

Key takeaways

01

DevOps unifies software development (Dev) and operations (Ops) to streamline the entire software lifecycle.

02

Core DevOps principles cover integration, testing, release, deployment, and infrastructure management.

03

Adopting DevOps leads to shorter development cycles and improved operational efficiency.

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 is more effective and efficient, 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 each tier:

Tier 0: Traditional Waterfall – A step-by-step, serial process where each phase is completed before moving on to the next phase of development. This allows for easy maintenance of records for compliance.

Tier 1: Iterative Waterfall – Uses multiple “mini-releases” rather than creating one big software release at the end of the development process. This helps reduce risk and increase the incremental delivery of value.

Tier 2: Early Reviews – Engagement of the user community begins with this tier. Demos, visualization, process reviews, and business simulations provide ways to gather valuable feedback early in the development process, allowing the software project team to focus on the right items and take preventative steps to improve the probability of success.

Tier 3: Agile Team – Dedicated teams are designated for each step of full integration of new software, working together to ensure agility and continuity.

Tier 4: Transition to Agile – Transition to the use of agile artifacts and practices. Team members incorporate more QA measures to test the performance of their software as it is being developed, such as a focus on “Defined as Ready” (DoR) and “Defined as Done” (DoD), allowing accurate tracing between the old and new.

Tier 5: Agile Practices – The development team delivers frequent, usable versions of the product and uses knowledge they’ve acquired through processes and artifacts to fix mistakes they’ve found, building on the previous version.

Tier 6: CI/CV/CD (Continuous Integration/Continuous Validation/Continuous Development) – A proactive, test-driven approach that uses automation in build, test, and release mechanisms to ensure continuity and accuracy.

Tier 7: DevOps – The final tier is DevOps, which uses integrated delivery of development, support, and operations. DevOps uses automation and monitoring at all steps of software construction to create more frequent releases in order to “fail faster,” resulting in more dependable software.

Organizations strive to make it through these tiers of maturity to improve overall DevOps practices. DevOps, CI/CV/CD, and Agile Engineering give industries – even highly regulated ones, like healthcare – a software development process that uses customer feedback to quickly develop more cost-effective and higher quality products. The GalaxE solution helps them get there.

GalaxE is the only technology services firm that offers automated mapping, test design, and execution for CD/CI/CV through our enhanced tools, GxMaps™ and GxDash™. GxMaps™ is an automated dependency mapping tool that quickly identifies and assesses the impact of programming changes on people, processes, and systems. GxDash™ provides centralized command control and CxO level decision making with holistic information and implements an enterprise dashboard for all technology tiers, providing automation for building dependency maps, predictive analysis, code, and test case generation. ithout 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

About the author

II
Industrial Iot

Industrial IoT: are you visible to AI?

Before they reach out, Industrial IoT 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 Industrial IoT Insights

End-of-line automation is the next deployment frontier for manufacturers

End-of-line automation is the next deployment frontier for manufacturers

The article discusses the growing trend of end-of-line automation in manufacturing, as nearly half of manufacturers plan to implement it within the next 24 months. The focus is on what operations leaders need to consider for successful deployment. It highlights the importance of understanding technological adaptations and the operational benefits of automation.

  • 01Nearly half of manufacturers plan to implement end-of-line automation in the next two years.
  • 02Operations leaders need to assess technological needs and company readiness for automation.
  • 03End-of-line automation can significantly enhance efficiency in manufacturing processes.

Jul 10, 2026

Metalgear Engineering's assembly line overhaul pushed one manufacturer from 10 to 100 units a day

Metalgear Engineering's assembly line overhaul pushed one manufacturer from 10 to 100 units a day

Metalgear Engineering implemented an assembly line overhaul that allowed a manufacturer to increase its production from 10 to 100 units daily. The integration of custom PLC automation and a single-piece flow redesign were the keys to achieving this improvement. These changes led to a 40% labor cost reduction and significantly increased output for the manufacturer.

  • 01Custom PLC automation was crucial in increasing output efficiency.
  • 02Single-piece flow redesign contributed to a 40% reduction in labor costs.
  • 03The overhaul transformed production capacity from 10 to 100 units a day.

Jul 10, 2026

Behind every robot: why component supply chains are the real bottleneck in robotics scale-up

Behind every robot: why component supply chains are the real bottleneck in robotics scale-up

Automate 2026 revealed that robotics adoption is more hindered by supply chain issues than by AI and software limitations. The event underscored the importance of component availability in scaling up robotics. Without addressing these supply chain bottlenecks, the growth of robotics in the industrial sector may be stymied.

  • 01Component supply chains are the main bottleneck in robotics scaling.
  • 02AI and software are not significant limitations in robotics adoption.
  • 03Availability of components is critical for the growth of industrial robotics.

Jul 10, 2026

Explore More Industrial IoT Insights

Read more expert perspectives from across Industrial IoT.

Browse Industrial IoT Hub

About the Expert

II
Industrial Iot