February 2026 Summaries

Customer Success, as discussed by Viola Marku, is framed as a vital connective layer within companies, linking product, engineering, documentation, marketing, and sales to foster trust and shared understanding rather than acting as a mere queue for processing customer requests. Marku argues that this approach prevents the loss of context that often occurs when customer interactions are managed through ticket systems, advocating instead for a human-centric model that captures nuanced signals and patterns not easily recognized by automated systems. Emphasizing the importance of maintaining shared understanding across teams, Marku highlights how WunderGraph's restructuring of its Customer Success function to focus on context ownership rather than ticket forwarding has led to a significant reduction in escalated support tickets, demonstrating that keeping engineers engaged with customer outcomes enhances issue prevention. This approach, which prioritizes empathy and clear communication over efficiency metrics or revenue targets, ultimately strengthens trust and customer retention by ensuring that decisions are informed by the actual experiences and needs of customers.

WunderGraph's survey aims to provide a comprehensive, vendor-neutral view of how organizations are adopting, operating, and scaling federated GraphQL in production, focusing on platform teams, API platform owners, and engineers responsible for federated graphs. The survey explores the full lifecycle of Federation, including adoption drivers, governance, platform choices, and outcomes, while also examining how AI and large language models (LLMs) are impacting these systems. Participants are invited to share insights on various topics, such as AI traffic, incident patterns, and architectural readiness for AI-driven query volume increases, to help establish industry benchmarks and identify architectural gaps. The results, which will be published in a public report in Q2 2026 using anonymized, aggregate data, aim to provide performance benchmarks, governance patterns, and insights into AI's role in the evolving Federation landscape.