Event Streaming Hasn’t Topped Out. Our Organizations Have.
Rethinking the streaming debate through capability and integration perspectives
A recent post by Stanislav Kozlovski argued that event streaming is topping out and that the market has begun to flatten. He pointed to slowing vendor growth and questioned whether the excitement around real-time architectures has reached its natural end. It is a sharp and well-argued piece, and it resonates with many teams who have quietly scaled back their ambitions.
Yet the more I think about it, the more I suspect that the conclusion points in the wrong direction. Perhaps it is not event streaming that has reached its limits. Perhaps our organisations have simply reached the limits of what they can achieve with it under the current way of thinking. The technology has not failed. Our ability to turn it into something meaningful has.
We see this pattern often. A promising technology enters the scene and we rush to adopt it. Once the infrastructure is operational, we assume we have acquired the capability it represents. Kafka clusters are deployed, pipelines built, dashboards integrated and the work is declared complete. Yet the way we make decisions, the speed at which we respond and the structure of responsibilities change very little. What we have gained is a tool, not a capability.
From Tools to Capabilities
Capability Thinking helps to illuminate this gap. A capability is not a piece of software but the ability to achieve a particular outcome. It depends on purpose, structure and shared understanding long before it depends on technology. Many organisations reverse this logic. They begin with the tool and trust that clarity and purpose will follow. Kafka becomes a symbol for real-time awareness even when no one has defined what should happen because of that awareness. Pipelines appear without explicit ties to the decisions they are meant to support. The result is an impressive landscape of infrastructure that is oddly disconnected from business intent.
Integration Thinking deepens the analysis. Integration is not simply the act of connecting systems. It is the way capabilities interact with one another. APIs, events and streams are just different ways of articulating that interaction. A synchronous API is a direct coordination. A stream is a signal that something has occurred and that other capabilities may want to respond. When a stream is treated purely as a high-speed data conduit, it loses its meaning. It is then no surprise that the initial enthusiasm fades, because the interaction was never truly defined.
The Maturity Gap
Many so-called event-driven efforts today are not driven by meaningful events at all. They are driven by replication and distribution. They consist of large collections of topics and pipelines with unclear ownership and semantics. Observability often means hunting through logs rather than understanding behaviour. Instead of fostering a responsive enterprise, we create distributed complexity that simply moves faster than before. The technology is not the problem. The maturity around it is.
From a capability perspective, event streaming only matters when it changes how a business senses and reacts. It should enhance situational awareness and shorten the path from observation to action. Achieving this requires clear boundaries between domains, a shared vocabulary and alignment on outcomes. These steps are frequently skipped because they seem too abstract or slow compared to the thrill of deploying infrastructure. Yet without them, streams become little more than noise. As excitement fades, it becomes easy to misread our own lack of capability as evidence that the technology itself is declining.
The Next Curve
Integration Thinking points to a more nuanced future. We are moving toward an environment that resembles a mesh of interacting capabilities rather than a central event bus. Each capability communicates in the mode that best fits its responsibility: synchronous when coordination is needed, asynchronous when awareness is enough, semantic when shared meaning matters and intelligent when adaptation is required. In this world, event streaming does not fade away. It becomes part of the infrastructure, almost invisible, similar to how HTTP eventually vanished into the background. The real measure of maturity is not how many clusters are running but how easily capabilities can sense and respond to change.
The conversation should evolve. The relevant question is not whether event streaming is dying. It is whether we are ready to build on what event streaming made possible. The real value sits above the technical layer. It lies in designing adaptive capabilities, combining event signals with APIs and applying governance that brings coherence to the landscape. The next challenge is not throughput but understanding. It is about designing interactions based on intent and outcomes rather than erecting pipelines simply because we can.
Event streaming has not topped out. Our imagination has. What has reached its limit is the set of patterns we have been working with, not the potential of the technology itself. Once we begin to map the capabilities behind the events, the story shifts. Maturity does not mark decline. It marks the transition from technology novelty to foundational infrastructure. The question is whether our organisations are ready to think beyond the tool and embrace what it was always meant to enable.