---
title: "Discussion on \"Always On Availability Groups: How to Fix Synchronization Lag and Stop REDO Thread Starvation\" | Hashnode"
description: "Discussion on \"Always On Availability Groups: How to Fix Synchronization Lag and Stop REDO Thread Starvation\". Guarding the failover perimeter: Why secondary database replicas fall behind during heavy data loads, how to trace redo queue bottlenecks, and how to optimize recovery speeds."
url: "https://hashnode.com/posts/ql-server-alwayson-availability-group-sync-lag-redo-fix/6a4fa29d191eb4f21ac8d74b"
---

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# [Always On Availability Groups: How to Fix Synchronization Lag and Stop REDO Thread Starvation](https://tunedinstance.com/ql-server-alwayson-availability-group-sync-lag-redo-fix?utm_source=hashnode&utm_medium=feed)

Guarding the failover perimeter: Why secondary database replicas fall behind during heavy data loads, how to trace redo queue bottlenecks, and how to optimize recovery speeds.

Jul 9 · 7 min read · tunedinstance.com  
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-   [#sql-server](https://hashnode.com/tag/sql-server)
-   [#database-administrator](https://hashnode.com/tag/database-administrator)
-   [#high-availability](https://hashnode.com/tag/high-availability)
-   [#infrastructure](https://hashnode.com/tag/infrastructure)
-   [#disaster-recovery](https://hashnode.com/tag/disaster-recovery)

## Written by

[Rakesh Kishore](https://hashnode.com/@RakeshKishore)

@RakeshKishore · Hyderabad, India

  
[View profile](https://hashnode.com/@RakeshKishore)

Sharing a decade of database lessons, failures, and fixes.

Senior Database Administrator specializing in SQL Server core internals, high-concurrency optimization, and enterprise database architecture. Over the last decade, my focus has been on mastering and breaking down complex database engine mechanics—from B-Tree performance tuning and TempDB allocation contention to deploying resilient cloud database infrastructure and high-availability clusters. I write at TunedInstance.com to share real-world production triage, architectural blueprints, and deep-dive technical strategies to keep mission-critical workloads fast, secure, and highly available.

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