Skip to content
MarketScale
‹ Back to IndustriesIndustrial IoT

Your DevOps maturity journey – part 2

This article is the second part of a series exploring DevOps maturity within industrial IoT and regulated software environments. It focuses on how organizations can address challenges in continuous delivery, integration, and validation by adopting DevOps principles. EY outlines how unifying software development and operations through DevOps can improve compliance and software delivery processes.

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 and operations to streamline delivery and improve compliance.

02

Continuous delivery, integration, and validation are key concerns DevOps helps organizations address.

03

Monitoring all steps of software creation is a core DevOps principle for achieving process maturity.

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

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

Industrial automation's big week: fenceless robots, humanoid IPOs, and a $100M expansion

Industrial automation's big week: fenceless robots, humanoid IPOs, and a $100M expansion

The article discusses significant advancements in industrial automation, highlighting key developments such as the introduction of a cage-free dual-arm robot, the public offering of a humanoid robotics company, and the expansion of a Boston Dynamics campus. These events signal a rapid evolution in the automation industry, anticipated to peak by mid-2026.

  • 01Introduction of a cage-free dual-arm robot.
  • 02Humanoid robotics company goes public.
  • 03Boston Dynamics expands its campus with a $100M investment.

Jul 2, 2026

US robotics rebound, defense capacity buildout, and AI partnerships define manufacturing's mid-2026 moment

US robotics rebound, defense capacity buildout, and AI partnerships define manufacturing's mid-2026 moment

The mid-2026 outlook for manufacturing is shaped by a rebound in robotics installations, an expansion of production capacity by Velo3D, and strategic AI partnerships between Siemens and IFS. These developments are pivotal in advancing industrial capabilities and addressing global market demands.

  • 01Robotics installations are increasing in the US.
  • 02Velo3D is significantly expanding its production capacity.
  • 03AI partnerships like those between Siemens and IFS are key to product lifecycle management.

Jul 2, 2026

Industrial automation accelerates in 2026 as AI, humanoids, and facility investments converge

Industrial automation accelerates in 2026 as AI, humanoids, and facility investments converge

In 2026, industrial manufacturing is poised for significant transformation, driven by AI robots, Autonomous Mobile Robots (AMRs), and facility investments. While technological advancements are evident, a major challenge lies in achieving operational readiness to fully capitalize on these innovations. The convergence of these elements highlights the importance of preparing infrastructure and workforce for seamless integration.

  • 01AI and humanoid robots are reshaping industrial automation by 2026.
  • 02Operational readiness is becoming the primary challenge despite technological advancements.
  • 03Facility investments are crucial for supporting new automation technologies.

Jun 29, 2026

Explore More Industrial IoT Insights

Read more expert perspectives from across Industrial IoT.

Browse Industrial IoT Hub

About the Expert

II
Industrial Iot