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  1. Home
  2. IT Analytics Report Reference Guide
  3. Backup Manager Management Reports
  4. DataProtect Replications
IT Analytics Report Reference Guide

DataProtect Replications

This report provides an operational snapshot of DataProtect replication activities across a scoped time frame, enabling rapid health checks and troubleshooting. It enumerates each run with Cluster Name, Protection Group, Object Name, Target Cluster, Status, Start Time, End Time, Duration (seconds), Expiry Time, Logical Size Transferred, and Physical Size Transferred, with configurable units of size (for example, GiB or TiB) for consistent capacity tracking.

Use this report to validate successful replication, identify failures or long-running jobs, confirm retention timelines, and compare logical versus physical transfer to assess deduplication and compression efficiency.

You can access this report from Backup Manager > Management Reports > DataProtect Replications.

The report displays the following details:

Table: DataProtect Replications report

Column name

Description

Cluster Name

Source cluster that sent the replicated data.

Protection Group

Name of the Protection Group.

Object Name

Protected object (for example, VM, database, file share).

Target Cluster

Destination cluster receiving replicated data.

Status

Outcome of the replication run (for example, Success, Failed, Canceled).

Start Time

Timestamp when replication started.

End Time

Timestamp when replication completed.

Duration

Elapsed time of the replication run.

Expiration

When the replicated snapshot or data is scheduled to expire based on retention.

Logical Size Transferred

Total logical data replicated before reductions such as compression or deduplication; size units are user-selectable.

Physical Size Transferred

Actual data sent over the wire or stored after reductions; size units are user-selectable.

Report Value, Use Cases, and Problems Addressed

The DataProtect Replication report gives an operational snapshot of replication runs over a selected time frame, consolidating run details (cluster, group, object, target, status, timing, expiry, and logical/physical size with user-selectable units) for fast health checks, capacity tracking, and efficiency insights.

Use cases:

  • Validate success by confirming completed runs and highlighting failures or cancellations for immediate followup.

  • Spot anomalies by identifying long-running jobs and unusual durations to prioritize troubleshooting.

  • Confirm retention by reviewing expiry times against policy expectations.

  • Assess efficiency by comparing logical versus physical transfer to understand deduplication/compression effectiveness and over-the-wire impact.

Problems addressed:

  • Lack of visibility into replication health and outcomes across clusters and protection groups.

  • Slow troubleshooting due to missing run-level context (status, timing, duration).

  • Uncertain retention compliance without clear expiry timelines per run.

  • Inconsistent capacity tracking from non-standardized size units.

  • Unknown data reduction gains when logical vs physical transfer is not easily comparable.

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