How real-time DXP works
WebSight uses event streaming pipelines to respond to data incoming from various sources and transform it into digital experiences ready for lightweight global delivery.
Life happens in real time. So should digital experiences. WebSight is letting them constantly flow: from responding to incoming data, to processing and delivering experiences that are perfectly timed, personalized and global.
WebSight uses event streaming pipelines to respond to data incoming from various sources and transform it into digital experiences ready for lightweight global delivery.
Create experiences in response to any data, regardless its origin or type. Whether it's a CMS or internal system, it can push data to WebSight in real-time without disrupting any existing process.
Choose solutions based on your requirements, not by what the platform allows. As data processing and experience delivery needs evolve, these systems can be quickly upgraded or replaced.
No matter the data volume, geographic location, or number of individual users, WebSight delivery layer remains responsive, serving the freshest data every single time.
Visual and intuitive
for rich editing experience
Fast and elegant
with no burden of integrations / old code
Easy transition
for developers used to enterprise CMS
Fostering collaboration
versioning and multi-tenancy
Offload resource-intensive services off of traditional Digital Experience Platform monolith to achieve significant performance improvements.
Integrate data from diverse sources for better observability, streamlined operations and unified customer experience.
High throughput
Single-job functions
that process experiences asynchronously
Ready for any service
Contained data sources
that can be integrated via loosely coupled architecture
Grows as you do
Unlimited scaling
of WebSight platform to thousands of nodes across regions
"Smart CDN"
Ahead-of-time delivery
keeping in sync with the upstream persistent log
requests per second
per server, at any amount of servers (NGINX)
to process published data
for end-to-end publishing, in multi-step pipelines*
to get the page into browser
with freshest data, without cache or CDN
*measured in September 2023, in two scenarios: in the first scenario, a product data event was sent from Product Information Management (PIM); in the second, a page template was published from the Content Management System (CMS).
The processing pipeline involved a sequence of steps: (1) persisting data in the store, (2) generating the page, (3) creating a full-text search feed, (4) sitemap update and (5) propagating of results to both the search index and the web server. Latency was measured as the interval between receiving an incoming event and completing the propagation.