Revolutionizing DevOps: The Power and Potential of Platform Engineering and Internal Developer Platforms

In today’s technology landscape, containing cloud costs has become a priority for organizations. To meet this objective, tech leaders must demonstrate to CFOs how they will stay on budget and showcase Return on Investment (ROI) at the board level. This article delves into the concept of platform engineering and its potential to revolutionize DevOps practices, ensuring efficient software delivery, improved developer experience, and tangible business outcomes.

Challenges of fitting DevOps into the traditional ITSM paradigm

Traditional IT Service Management (ITSM) practices were not designed to seamlessly integrate with the fast-paced and dynamic DevOps methodologies. Attempting to force modern DevOps practices into the confines of an aging ITSM paradigm only leads to suboptimal software delivery performance and a poor developer experience (DX). It is crucial to explore new approaches that align with the changing landscape of software engineering.

Negative impact on software delivery performance and developer experience

By trying to make DevOps dance to the tune of the ITSM paradigm, organizations experience a decline in software delivery performance and hinder the overall developer experience. Development teams find it challenging to navigate through the complexities and limitations imposed by traditional ITSM processes. This results in slower time-to-market, reduced innovation, and limited collaboration between IT and development teams.

The value of saving time in engineering through more efficient practices

Every minute saved in engineering can yield tremendous benefits. By adopting more efficient practices, organizations can save valuable time. For instance, if five minutes are saved per day among 500 developers, a week’s worth of development time can be reclaimed. This time can be redirected towards innovation, quality improvement, or speeding up time-to-market.

The growing popularity of platform engineering and “platform as a product”

Platform engineering has emerged as a key concept within the Platform as a Service (PaaS) ecosystem and is gaining fresh traction in the industry. Organizations are recognizing the need for dedicated platform teams to provide the necessary support and services to development teams. According to Gartner, as early as 2026, 80% of software engineering organizations are expected to have platform teams in place.

Gartner’s prediction of the rise of platform teams in software engineering organizations

To keep up with the evolving needs of software delivery, organizations are embracing platform engineering. By establishing platform teams, companies can ensure efficient collaboration, enhanced productivity, and improved software quality. Gartner’s prediction corroborates the industry’s recognition of platform teams as an integral part of software engineering organizations.

Exploring the concept of platform engineering as a form of IT centralization

Platform engineering represents the latest iteration of IT centralization, albeit with a focus on distributed team empowerment through composition instead of converged control. It creates a collaborative framework that connects IT and DevOps teams, encouraging them to focus on outcomes rather than restrictive methodologies. Platform engineering helps unleash the true potential of both teams, resulting in more efficient practices and streamlined workflows.

The benefits of using Integrated Delivery Platforms (IDPs) for DevOps teams

Integrated Delivery Platforms (IDPs) provide the means to facilitate flow, speed, and innovation while maintaining stability, security, and control. IDPs enable seamless integration of tools, processes, and technologies across the software development lifecycle. By providing a unified and standardized approach, IDPs empower DevOps teams to work more effectively, eliminating bottlenecks and accelerating the delivery of high-quality software.

The collaborative framework created by platform engineering for IT and DevOps teams

Platform engineering fosters a collaborative environment where IT and DevOps teams seamlessly work together, leveraging each other’s strengths. This framework encourages open communication, knowledge sharing, and cross-functional collaboration, resulting in improved productivity, reduced errors, and faster problem resolution. By breaking down silos and promoting a culture of shared responsibility, organizations can unlock the full potential of their workforce.

Platform engineering marks a paradigm shift in the software engineering landscape. By implementing platform teams and embracing collaborative practices, organizations can achieve faster time-to-market without compromising on consistency, stability, or security. The holistic approach to software delivery, facilitated by platform engineering, ensures fewer human errors, improved software quality, and enhanced customer experiences. With cost containment and ROI in mind, tech leaders must seize the opportunity to leverage platform engineering and revolutionize their DevOps practices.

Explore more

Resilience Becomes the New Velocity for DevOps in 2026

With extensive expertise in artificial intelligence, machine learning, and blockchain, Dominic Jainy has a unique perspective on the forces reshaping modern software delivery. As AI-driven development accelerates release cycles to unprecedented speeds, he argues that the industry is at a critical inflection point. The conversation has shifted from a singular focus on velocity to a more nuanced understanding of system

Can a Failed ERP Implementation Be Saved?

The ripple effect of a malfunctioning Enterprise Resource Planning system can bring a thriving organization to its knees, silently eroding operational efficiency, financial integrity, and employee morale. An ERP platform is meant to be the central nervous system of a business, unifying data and processes from finance to the supply chain. When it fails, the consequences are immediate and severe.

When Should You Upgrade to Business Central?

Introduction The operational rhythm of a growing business is often dictated by the efficiency of its core systems, yet many organizations find themselves tethered to outdated enterprise resource planning platforms that silently erode productivity and obscure critical insights. These legacy systems, once the backbone of operations, can become significant barriers to scalability, forcing teams into cycles of manual data entry,

Is Your ERP Ready for Secure, Actionable AI?

Today, we’re speaking with Dominic Jainy, an IT professional whose expertise lies at the intersection of artificial intelligence, machine learning, and enterprise systems. We’ll be exploring one of the most critical challenges facing modern businesses: securely and effectively connecting AI to the core of their operations, the ERP. Our conversation will focus on three key pillars for a successful integration:

Trend Analysis: Next-Generation ERP Automation

The long-standing relationship between users and their enterprise resource planning systems is being fundamentally rewritten, moving beyond passive data entry toward an active partnership with intelligent, autonomous agents. From digital assistants to these new autonomous entities, the nature of enterprise automation is undergoing a radical transformation. This analysis explores the leap from AI-powered suggestions to true, autonomous execution within ERP