Infrastructure leaders adapt to evolving demands through orchestration and self-service.

The latest blog post highlights the need for infrastructure and operations leaders to adjust their strategies in response to evolving demands, emphasizing the importance of rethinking delivery models, adopting orchestration, and enhancing self-service capabilities.

Delivery Model Challenges

Infrastructure and operations leaders face increasing pressure to improve the speed of service delivery, enable self-service options, ensure compliance governance, and incorporate automation technologies. Traditional automation methods are often seen as fragmented and outdated, complicating these objectives.

According to Gartner's 2025 Market Guide for Infrastructure Automation & Orchestration Tools, only 23% of organizations have effectively integrated automation into their service delivery, resulting in operational inefficiencies referred to as “islands of automation.” This scenario highlights the demand for a comprehensive model that aligns with modern digital organizational structures.

Infrastructure as a Product

Emphasizing a shift from basic automation to a product-oriented approach is necessary for infrastructure management. This involves treating infrastructure as a product, not just automating tasks, and encourages leaders to create reusable services, expose automation through APIs, and facilitate self-service for internal users.

Essential components of this model include workforce orchestration, IT ecosystem integration, and solid governance practices to ensure security and compliance. These elements are crucial, particularly as teams struggle to integrate tools not designed for cohesive operation.

The Role of Orchestration

Effective orchestration is vital for successful large-scale infrastructure delivery. It enables the connection of different tools and teams, standardizes service processes, and bolsters self-service and platform engineering initiatives. Furthermore, it allows organizations to utilize insights from Generative AI (GenAI) effectively and in a controlled manner.

Gartner indicates that a platform's ability to orchestrate across hybrid environments is crucial, with automation serving as a foundation and orchestration enhancing scalability.

Preparing for AI Integration

Artificial Intelligence (AI) is anticipated to become integral to infrastructure management. However, lacking a robust orchestration framework may lead to increased fragmentation of initiatives utilizing AI. Organizations must establish processes that translate AI-generated insights into actionable infrastructure modifications without adding complexity.

The lack of an orchestration framework might contribute to increased operational noise, hindering the potential benefits achievable through AI technologies.

Conclusion

The post concludes that infrastructure and operations leaders require platforms instead of merely additional tools to enhance operational capabilities. Such platforms should operationalize existing automation, streamline inter-team processes, and deliver infrastructure as a product that meets business demands. Itital is actively working to address these requirements.