Solution · Workload offloading

Move read traffic off the system of record

Replicate Db2 for IBM i, Oracle, and other mission-critical databases into read-optimized targets using journal and log-based capture, so reporting stops competing with transactions.

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MISSION-CRITICAL SOURCE Db2 for IBM i · ERP journal capture txn reports reads moved off read the journal, not the tables Gluesync Core Hub one-way delivery allowed operations row filters metrics no writes travel back to the source Redis cached reads read copy SingleStore analytical SQL read copy GridGain in-memory grid read copy
  1. 01 Read the native change source
  2. 02 Maintain a read-optimized copy
  3. 03 Keep the copy one-way

The challenge

Reads and transactions share one machine

Reporting queries, APIs, and dashboards run against the same database that has to commit business transactions, and capacity is finite.

01 / Contention

Reports slow the transactions

Analytical scans hold resources on the system of record precisely when operational load is at its highest.

02 / Cost

Scaling the core system is expensive

Adding capacity to a licensed mission-critical platform just to serve read traffic is rarely the cheapest option.

03 / Shape

Modern clients want other engines

Applications expect caches, distributed SQL, or in-memory grids that the system of record was never designed to be.

How it works

Capture once, serve reads elsewhere

Gluesync reads committed changes from the platform's native change mechanism and maintains a current read copy in whichever engine the consumers need.

  1. 01

    Capture

    Read the native change source

    Journal capture on Db2 for IBM i, LogMiner or XStream on Oracle, and log readers elsewhere keep source impact low.

  2. 02

    Redirect

    Maintain a read-optimized copy

    Target agents keep a cache, distributed SQL store, or in-memory grid aligned with the source continuously.

  3. 03

    Protect

    Keep the copy one-way

    Allowed-operations forwarding and row filters bound exactly what the offload target is permitted to receive.

Gluesync capabilities

Low-impact capture into read-friendly targets

Pick the capture mechanism the source platform supports, then the target shape your consumers actually want.

01

Journal and log capture

Read committed changes from the platform's own change mechanism instead of polling tables.

  • Db2 for IBM i journal capture
  • Oracle LogMiner and XStream
  • PostgreSQL, MySQL, and SQL Server log readers

IBM i journal capture Oracle LogMiner agent

02

Read-optimized targets

Land the offloaded copy in the engine that serves the read workload best.

  • Redis for cached reads
  • SingleStore for analytical SQL
  • GridGain for in-memory access

Redis target SingleStore target

03

Bounded, observable delivery

Control which operations are forwarded and watch the offload pipeline like any other route.

  • Allowed-operations forwarding
  • Inclusive row-level filters
  • Prometheus metrics and alerts

Allowed operations forwarding Monitoring

Let the system of record do transactions

Talk with MOLO17 about capture on your source platform and the right read target, or start a Gluesync trial.

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