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A practical guide to deciding when Salesforce Record‑Triggered Flows replace Apex triggers and when they don’t, with a worked migration example, limit checks, and a checklist for safe adoption.
Replace Apex triggers with Record-Triggered After Save Flows for cross-object updates. Worked example: Opportunity Close Won updates parent Account rollups. Covers entry conditions, fault paths, governor limits, recursion prevention, and deployment verification.
Learn how Vaadin Flow's Grid uses a DataProvider to fetch only the visible slice of large datasets, enabling server‑side paging and automatic column sorting without blowing up client memory.
Learn how Vaadin Flow’s @Route annotation and programmatic navigation let you map views to URLs, pass parameters safely, and update the browser history without full page reloads—plus the trade‑offs to watch for in memory and clustered environments.
A concise decision guide for choosing Salesforce Flow versus Apex triggers, with a comparison table, trade‑offs, and a validation example for updating an Opportunity when a Project is closed won.
Learn how Vaadin Flow’s server‑side navigation maps Java views to URLs, enables programmatic moves, and handles typed route parameters—plus tips on managing view‑state memory.
When Vaadin Flow is configured with pushMode=AUTO , the framework attempts a WebSocket connection before falling back to long polling if the handshake fails. In environments behind strict proxies or utilizing self-signed certificates, the WebSocket handshake may time out silently without triggering an explicit client-side error in the browser console. While
When a Kotlin Flow is collected on a dispatcher created with Dispatchers.from(ExecutorService), applying the timeout operator raises a design question about what happens to the upstream collector when the timeout expires. The timeout operator may either cancel the upstream collector, triggering its onCompletion and releasing resources tied to the ExecutorSer
salesforce
vaadin
kotlin