We want to use IRIS as a backend for a lightweight blockchain or DLT. Can we model blocks using deterministic globals and implement consensus (PBFT, Raft) externally while using IRIS as the ledger?

We require automatic injection of security predicates at runtime, depending on the user or API token. Is there a supported or hackable mechanism to manipulate SQL parsing/compilation before execution?

We use Apache Flink for complex event processing. Is there a way to integrate IRIS (as a source/sink) with Flink’s streaming API, possibly using the IRIS Native API or JDBC?

We’re encountering occasional deadlocks when accessing persistent objects. How can I trace lock acquisition and identify cyclic dependencies in real time?

I need to ingest streaming data over WebSockets. How can I create a custom inbound adapter for IRIS productions that supports many concurrent socket connections?

Given a JSON schema at runtime, I want to programmatically create persistent classes with corresponding properties and indices. Is there a way to dynamically compile and load such classes?

For geographically distributed nodes using async mirroring or ECP, how can I detect and resolve data conflicts manually (custom logic) while maintaining eventual consistency?

We require user-specific row access (row-level security). How can we enforce this in SQL and ObjectScript using custom class parameters and dynamic WHERE clause injections?

We’re ingesting high-volume HL7 messages and converting them to FHIR in near-real-time. How do we design a streaming ETL pipeline using interoperability (productions) that scales horizontally?