From DevOps to DevSecOps: The Rise of Platform Engineering and its Role in Software Development and Operations

The DevOps movement originated from the recognition that siloed teams, focused solely on their individual objectives, often led to failed releases, significant delays, poor communication, and ultimately, dissatisfied customers. The need to break down these barriers and foster collaboration between teams became paramount. However, in the early years of DevOps success, security and compliance concerns remained largely isolated, presenting a significant challenge for organizations.

The Need for Security and Compliance Integration in DevOps

While DevOps succeeded in bridging gaps between development and operations teams, the integration of security and compliance measures lagged behind. This segregation created vulnerabilities that cybercriminals exploited, as 80% of security breaches were found to be related to configuration errors, according to research by Microsoft and other industry leaders. To address this gap, the concept of DevSecOps emerged, emphasizing the inclusion of security practices throughout the Agile development process. By ensuring that assets are configured correctly from the start and conducting constant scans to identify configuration drift, DevSecOps provides continuous compliance, minimizing potential risks.

The Relevance of DevSecOps and the Evolution of DevOps

As the industry continues to evolve, the term “DevOps” is gradually losing its relevance, while “DevSecOps” gains traction and importance. This shift reflects the realization that security must be placed front and center in the development process. To achieve success, organizations must embrace the necessary cultural, personnel, and procedural changes associated with DevSecOps. While DevOps brought teams together, DevSecOps expands the collaboration to include security and compliance, ensuring a more comprehensive and secure development environment.

The Emergence of Platform Engineering

To meet the growing demands of modern software delivery and lifecycle management, platform engineering has garnered significant attention in the industry. It focuses on constructing and maintaining self-service internal developer platforms (IDPs) that facilitate software development and streamline the operation of applications. According to Gartner’s analysis, it is predicted that by 2026, 80% of software engineering organizations will establish platform teams as internal providers of reusable services, components, and tools for application delivery.

Developer experience and productivity

DevSecOps not only extends support for experience and productivity to developers, but also encompasses IT Ops, security, and compliance teams. This holistic approach fosters collaboration, effective communication, and shared responsibility, leading to enhanced overall productivity and satisfaction among teams.

Automation

Automation is the cornerstone of DevSecOps, automating infrastructure configuration as well as compliance tasks through the implementation of policy-as-code. This approach ensures consistent and accurate executions, reducing manual errors and enabling faster response times to rapidly changing security and compliance requirements.

Self-Service

Platform engineering builds upon the automation and services-oriented approach of DevSecOps, allowing developers to embrace self-service capabilities for code, testing, and deployment. This empowers developers to be proactive and efficient in addressing security and compliance issues, further streamlining the development process.

Speeding Delivery of High-Impact Applications

With an Agile development approach, supported by DevOps (now evolving into DevSecOps), and complemented by platform engineering, the ultimate goal is to expedite the delivery of high-impact applications. Continuous updates, resilience, reliability, and security remain the focal points of this progressive movement. By adopting these principles, organizations can achieve a competitive edge, offering advanced and secure software solutions to meet the ever-growing demands of end-users.

The evolution from siloed teams to DevOps marked a crucial shift in software development practices. However, the integration of security and compliance remained a challenge until the emergence of DevSecOps. Today, with the rise of platform engineering, organizations can further optimize their development processes by providing self-service internal developer platforms. By seamlessly integrating security, compliance, and automation into development operations, businesses can accelerate application delivery without compromising on quality, reliability, or security. The continual evolution of these practices promises to shape the future of software engineering, enabling organizations to deliver exceptional applications in an increasingly complex digital landscape.

Explore more

Trend Analysis: Agentic AI in Data Engineering

The modern enterprise is drowning in a deluge of data yet simultaneously thirsting for actionable insights, a paradox born from the persistent bottleneck of manual and time-consuming data preparation. As organizations accumulate vast digital reserves, the human-led processes required to clean, structure, and ready this data for analysis have become a significant drag on innovation. Into this challenging landscape emerges

Why Does AI Unite Marketing and Data Engineering?

The organizational chart of a modern company often tells a story of separation, with clear lines dividing functions and responsibilities, but the customer’s journey tells a story of seamless unity, demanding a single, coherent conversation with the brand. For years, the gap between the teams that manage customer data and the teams that manage customer engagement has widened, creating friction

Trend Analysis: Intelligent Data Architecture

The paradox at the heart of modern healthcare is that while artificial intelligence can predict patient mortality with stunning accuracy, its life-saving potential is often neutralized by the very systems designed to manage patient data. While AI has already proven its ability to save lives and streamline clinical workflows, its progress is critically stalled. The true revolution in healthcare is

Can AI Fix a Broken Customer Experience by 2026?

The promise of an AI-driven revolution in customer service has echoed through boardrooms for years, yet the average consumer’s experience often remains a frustrating maze of automated dead ends and unresolved issues. We find ourselves in 2026 at a critical inflection point, where the immense hype surrounding artificial intelligence collides with the stubborn realities of tight budgets, deep-seated operational flaws,

Trend Analysis: AI-Driven Customer Experience

The once-distant promise of artificial intelligence creating truly seamless and intuitive customer interactions has now become the established benchmark for business success. From an experimental technology to a strategic imperative, Artificial Intelligence is fundamentally reshaping the customer experience (CX) landscape. As businesses move beyond the initial phase of basic automation, the focus is shifting decisively toward leveraging AI to build