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      <video:title>PostgreSQL 19 Logical Replication Sequences | ALL SEQUENCES Finally Works (Upgrade Guide)</video:title>
      <video:description>Sequences have never replicated with logical replication. Every PG upgrade meant shell scripts, setval race conditions, and praying your primary keys didn&apos;t collide.

PostgreSQL 19 fixes this with ALL SEQUENCES in publications and a dedicated sequence sync worker. This video walks through the old 40-line workaround, the new syntax, hands-on setup with two databases, when sequences actually sync (three trigger points), performance benchmarks, and the complete PG 19 upgrade workflow.

If you run logical replication for zero-downtime upgrades, this is the feature you&apos;ve been waiting for.

🔗 Subscribe: https://youtube.com/@DrIbrarAhmed

⏱ Chapters
00:00 Intro — Sequence Replication in PG 19
01:13 What You&apos;ll Learn
01:39 The Problem: Sequences Don&apos;t Replicate
02:44 The Old Workaround (40 Lines of Shell)
03:49 Road to Sequence Replication
04:44 New Syntax: ALL SEQUENCES
05:50 The Sequence Sync Worker
06:46 When Sequences Sync (3 Triggers)
07:37 Hands-On: Setup Two Databases
08:20 Hands-On: Publication + Subscription
09:05 Hands-On: Insert Data, Verify Sequences
10:22 Why Sequences Don&apos;t Stream Continuously
11:17 Sequence States in pg_subscription_rel
11:50 Performance: How Fast Is Sequence Sync?
12:40 What Still Doesn&apos;t Work
13:37 The PG 19 Upgrade Workflow
14:15 Practical Patterns for Production
15:12 What Else Changed in Logical Replication
15:54 Summary
16:52 Subscribe &amp; Resources

#PostgreSQL #PostgreSQL19 #PG19 #LogicalReplication #Database #DBA #HighAvailability #ZeroDowntime</video:description>
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      <video:title>PostgreSQL Bloat: Why VACUUM Is Not Enough (DBA Cheat Sheet #4)</video:title>
      <video:description>Your PostgreSQL table is 500MB.

Only 100MB contains live data.

The rest is dead rows.

In PostgreSQL DBA Cheat Sheet #4, I walk through VACUUM, table bloat, autovacuum tuning, dead tuples, and practical ways to detect and fix storage waste before performance starts falling apart.

You will learn how PostgreSQL handles updates and deletes, why dead tuples accumulate, how VACUUM works, when VACUUM FULL becomes dangerous, and how to reduce bloat safely in production.

This video covers:

Dead tuples explained
VACUUM vs VACUUM FULL
Autovacuum internals
Table bloat detection
pg_stat_user_tables
pgstattuple
pg_repack
Live demo
Common DBA mistakes
Production tuning

Chapters:

0:00 Your table is 80% dead rows
0:30 How dead tuples happen
1:30 VACUUM vs VACUUM FULL
3:00 Detecting table bloat
4:30 Autovacuum internals
5:30 Fix patterns
6:30 Demo part 1
7:15 Demo part 2
8:00 Five bloat mistakes
9:00 VACUUM cheat sheet and summary

Part of the PostgreSQL DBA Cheat Sheet library.</video:description>
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    <lastmod>2026-05-26T14:00:32+00:00</lastmod>
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    <priority>0.8</priority>
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      <video:title>PostgreSQL Slow Query Fix: 47s to 3.6ms (DBA Cheat Sheet #5 )</video:title>
      <video:description>Last week it worked fine. The query did not change. The application did not change.

The data changed.

In PostgreSQL DBA Cheat Sheet #5, I walk through a practical workflow for finding, understanding, and fixing slow PostgreSQL queries in production.

You will learn how to use EXPLAIN ANALYZE, pg_stat_statements, pg_stat_activity, auto_explain, and real tuning techniques to diagnose performance issues before users complain.

This video covers:

EXPLAIN vs EXPLAIN ANALYZE
Reading execution plans
Row estimates
Sequential scans
Join analysis
Buffer reads and I/O
pg_stat_statements
pg_stat_activity
auto_explain
Slow query fix patterns
Live diagnostics demo
Common DBA mistakes

Chapters:

0:00 This query takes 47 seconds
0:30 EXPLAIN vs EXPLAIN ANALYZE
1:30 Reading execution plans
3:00 pg_stat_statements
4:30 Live monitoring with pg_stat_activity
5:30 Common fix patterns
6:30 Demo part 1: Find the slow query
7:15 Demo part 2: 847ms to 3.6ms
8:00 Five slow query mistakes
9:00 Slow query cheat sheet and summary

Part of the PostgreSQL DBA Cheat Sheet library.</video:description>
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    <lastmod>2026-05-24T14:00:16+00:00</lastmod>
    <changefreq>weekly</changefreq>
    <priority>0.8</priority>
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      <video:title>PostgreSQL Checkpoints Are Killing Performance (DBA Cheat Sheet #3)</video:title>
      <video:description>Your PostgreSQL server is slow.

CPU looks fine. Memory looks fine. Queries look normal.

The problem might be WAL and checkpoints.

In PostgreSQL DBA Cheat Sheet #3, I walk through WAL internals, checkpoints, checkpoint tuning, monitoring, and the production mistakes that quietly hurt performance.

You will learn how PostgreSQL writes data safely, why checkpoints exist, how forced checkpoints cause I/O spikes, how WAL affects recovery, and how a few settings can dramatically change performance.

This video covers:

WAL fundamentals
Checkpoint workflow
max_wal_size
checkpoint_timeout
checkpoint_completion_target
Forced checkpoints
pg_stat_checkpointer
WAL and PITR
Live before vs after demo
Common DBA mistakes

Chapters:

0:00 Your checkpoints are killing performance
0:30 What WAL does
1:30 How checkpoints work
3:00 Understanding checkpoint settings
4:30 Monitoring with pg_stat_checkpointer
5:30 WAL and recovery
6:30 Demo part 1
7:15 Demo part 2
8:00 Five checkpoint mistakes
9:00 WAL cheat sheet and summary

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    <lastmod>2026-05-23T14:00:25+00:00</lastmod>
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      <video:title>PostgreSQL Replication Commands That Save Production (DBA Cheat Sheet #2)</video:title>
      <video:description>Replication does not fail during setup.

Replication fails during failover, lag, slots, WAL retention, and recovery.

In PostgreSQL DBA Cheat Sheet #2, I walk through the replication commands every DBA should know for production systems.

You will learn how PostgreSQL streaming replication works, how primary and standby servers communicate, how to monitor replication health, how failover and promotion work, and which commands help diagnose problems before users notice them.

This video covers:

Streaming replication
Physical vs logical replication
pg_basebackup setup
Replication monitoring
pg_stat_replication
Replication lag checks
Promote standby servers
Replication slots
Failover basics
Live demo and troubleshooting
Common DBA mistakes

Chapters:

0:00 Your primary just died
0:30 Physical vs logical replication
1:30 Replication architecture
3:00 Setup commands
4:30 Monitoring replication health
5:30 Replication slots explained
6:30 Live demo part 1
7:15 Live demo part 2
8:00 Common replication mistakes
9:00 Replication cheat sheet and summary

Part of the PostgreSQL DBA Cheat Sheet library.</video:description>
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  <url>
    <loc>https://www.pgelephant.com/videos#video-edqbiSkZp_k</loc>
    <lastmod>2026-05-22T15:28:33+00:00</lastmod>
    <changefreq>weekly</changefreq>
    <priority>0.8</priority>
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      <video:title>PostgreSQL Backup Commands Before Disaster (DBA Cheat Sheet #1)</video:title>
      <video:description>PostgreSQL backups fail when DBAs treat them as a command, not a recovery plan.

In this first PostgreSQL DBA Cheat Sheet video, I walk through the backup commands every DBA should know, including pg_dump, pg_restore, pg_basebackup, WAL archiving, and restore validation.

You will learn how logical backups differ from physical backups, when to use each method, how to verify a backup, how restore testing prevents disaster, and why a backup only matters when recovery works.

Chapters:

0:00 PostgreSQL backup disaster
0:30 Logical vs physical backups
1:30 pg_dump commands
3:00 pg_restore commands
4:30 pg_basebackup
6:00 WAL archiving basics
7:00 Live backup demo
7:45 Restore validation
8:30 Backup mistakes DBAs make
9:30 Final backup cheat sheet

This video is part of the PostgreSQL DBA Cheat Sheet library.</video:description>
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  <url>
    <loc>https://www.pgelephant.com/videos#video-L_zB0yjyij4</loc>
    <lastmod>2026-05-21T14:00:06+00:00</lastmod>
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      <video:thumbnail_loc>https://i1.ytimg.com/vi/L_zB0yjyij4/hqdefault.jpg</video:thumbnail_loc>
      <video:title>PostgreSQL Major Upgrade: 3 Safe Paths Without Breaking Production</video:title>
      <video:description>PostgreSQL major version upgrades do not usually fail at install.

PostgreSQL major version upgrades succeed long before the maintenance window starts. In this production-focused guide, Dr. Ibrar Ahmed walks through a practical PostgreSQL upgrade playbook that covers pg_upgrade, logical replication, and Zodan/Spock active-active workflows. You will learn how to choose the right upgrade path, run pg_upgrade checks, verify extension compatibility, handle collation and ICU risks, plan disk and WAL capacity, manage publications and subscriptions, avoid replica identity failures, control replication slot WAL retention, fix sequence drift, prepare DNS cutover, define rollback triggers, and validate production after traffic moves. This video gives DBAs, developers, and platform engineers a clear upgrade checklist built around rehearsal, validation, rollback readiness, and safer PostgreSQL production operations.</video:description>
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      <video:publication_date>2026-05-21T14:00:06+00:00</video:publication_date>
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    <lastmod>2026-05-20T20:12:37+00:00</lastmod>
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      <video:title>PostgreSQL PITR</video:title>
      <video:description>Learn PostgreSQL, database security, cybersecurity, and real-world technical workflows through practical tutorials.

In this video, we cover PostgreSQL concepts, secure database practices, administration, performance, replication, high availability, and production-ready engineering patterns.

Topics on this channel include:
- PostgreSQL security and hardening
- Database administration and DBA workflows
- SQL, query tuning, and performance optimization
- Logical replication and high availability
- Backup, recovery, and disaster recovery
- Cybersecurity concepts for databases
- Linux, DevOps, and production systems
- Open-source database technologies

Subscribe for more PostgreSQL, cybersecurity, and technical tutorials.

#PostgreSQL #DatabaseSecurity #CyberSecurity #SQL #DatabaseAdministration</video:description>
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    <lastmod>2026-05-20T12:27:16+00:00</lastmod>
    <changefreq>weekly</changefreq>
    <priority>0.8</priority>
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      <video:thumbnail_loc>https://i4.ytimg.com/vi/_zsCDTGvQZQ/hqdefault.jpg</video:thumbnail_loc>
      <video:title>PostgreSQL Slow Queries: Read EXPLAIN ANALYZE Like a DBA</video:title>
      <video:description>PostgreSQL slow queries are not solved by guessing indexes.

In this video, I show you how to read EXPLAIN ANALYZE like a production DBA. You will learn how to find bad row estimates, wrong join types, buffer reads, disk sorts, missing indexes, and the real root cause behind a slow query.

We start with a real slow query example, read the bad execution plan, identify the expensive nodes, compare estimated rows with actual rows, and then fix the query step by step.

You will learn:

How to read EXPLAIN ANALYZE bottom-up
The difference between EXPLAIN and EXPLAIN ANALYZE
Why estimated rows vs actual rows matters
How Nested Loop, Hash Join, and Merge Join affect performance
How to use BUFFERS to separate I/O problems from CPU problems
How stale statistics break query plans
When ANALYZE fixes the problem
When indexes help, and when they do not
How to use pg_stat_statements and pg_stat_activity
A practical slow query checklist for production PostgreSQL

Chapters:

00:00 PostgreSQL slow query problem
00:30 The diagnostic path
01:10 The slow query
02:00 Reading the bad EXPLAIN ANALYZE plan
03:30 Bad row estimates
05:00 Wrong join type
06:30 Buffer reads and I/O
08:00 Sort spills and work_mem
09:30 EXPLAIN vs EXPLAIN ANALYZE
11:00 Reading plans bottom-up
12:30 Seq Scan, Index Scan, Bitmap Heap Scan
15:00 Nested Loop vs Hash Join
17:00 Fixing stale statistics with ANALYZE
19:00 Before and after plan comparison
21:00 Missing indexes and wrong indexes
23:00 pg_stat_statements and pg_stat_activity
25:00 DBA slow query checklist</video:description>
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    <lastmod>2026-05-19T15:46:35+00:00</lastmod>
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      <video:title>MySQL to PostgreSQL Migration Without Breaking Production</video:title>
      <video:description>Migrating from MySQL to PostgreSQL is not only a data copy.

It is a production journey.

In this video, I walk through a complete MySQL to PostgreSQL migration playbook, from assessment and schema conversion to data movement, validation, tuning, cutover, and post-migration operations.

You will learn how to handle:

MySQL vs PostgreSQL architecture differences
Data type mapping
UNSIGNED integer problems
AUTO_INCREMENT to IDENTITY
MySQL SQL syntax changes
Stored procedure conversion
Trigger conversion
GROUP_CONCAT to string_agg
DATE_FORMAT to to_char
JSON to JSONB
Index conversion
pgLoader migration
AWS DMS migration
DDL conversion
ON UPDATE CURRENT_TIMESTAMP
Post-migration validation
PostgreSQL tuning
PgBouncer
EXPLAIN ANALYZE
Autovacuum
Cutover planning
Rollback strategy
Common post-migration errors
Application and ORM changes
PostgreSQL extensions
MySQL-specific gotchas

This is a practical production guide for developers, DBAs, architects, and engineering teams planning a real MySQL to PostgreSQL migration.

Chapters:

0:00 MySQL to PostgreSQL migration guide
1:00 Architecture and data type differences
3:30 SQL and code conversion
8:00 Advanced PostgreSQL features
11:00 Migration execution with pgLoader and AWS DMS
13:30 Validation and PostgreSQL tuning
16:00 Cutover and operations
18:00 Migration checklist and quick reference

Key topics covered:

MySQL to PostgreSQL migration
pgLoader MySQL to PostgreSQL
AWS DMS MySQL to PostgreSQL
PostgreSQL migration checklist
MySQL data type mapping PostgreSQL
MySQL AUTO_INCREMENT PostgreSQL IDENTITY
MySQL GROUP_CONCAT PostgreSQL string_agg
MySQL JSON PostgreSQL JSONB
PostgreSQL cutover plan
PostgreSQL migration validation

Subscribe for practical PostgreSQL deep dives:
https://www.youtube.com/@DrIbrarAhmed

#PostgreSQL #MySQL #DatabaseMigration</video:description>
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  <url>
    <loc>https://www.pgelephant.com/videos#video-E6Pf_UxrngM</loc>
    <lastmod>2026-05-14T22:24:23+00:00</lastmod>
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    <video:video>
      <video:thumbnail_loc>https://i2.ytimg.com/vi/E6Pf_UxrngM/hqdefault.jpg</video:thumbnail_loc>
      <video:title>Oracle to PostgreSQL Migration: The Complete DBA Playbook</video:title>
      <video:description>Oracle to PostgreSQL migration is not just a schema conversion. It is a full production journey.

You must handle data types, sequences, PL/SQL, packages, triggers, cursors, partitioning, indexing, query tuning, validation, cutover, rollback, and post-migration operations.

In this video, I walk through a complete Oracle to PostgreSQL migration playbook built for DBAs, engineers, architects, and teams planning a serious migration.

You will learn:

How to assess an Oracle database before migration
How Oracle objects map to PostgreSQL
How to convert schema, data types, sequences, and indexes
How to handle PL/SQL, packages, procedures, functions, and triggers
How to choose tools such as Ora2Pg, pgLoader, AWS SCT, AWS DMS, and EDB tools
How to validate data after migration
How to tune PostgreSQL after cutover
How to avoid common migration failures
How to plan rollback and production go-live

This video is practical. It includes real migration steps, real conversion patterns, common errors, and DBA-level guidance.

If your company wants to reduce Oracle licensing costs, avoid vendor lock-in, modernize database architecture, or move toward open-source PostgreSQL, this is the migration guide to watch first.

#Oracle #PostgreSQL #DatabaseMigration #OracleToPostgreSQL #Postgres #DBA #DatabaseAdministration #SQL #PLSQL #PostgreSQLDBA #Ora2Pg #pgLoader #AWSDMS #AWSDatabaseMigrationService #AWSSCT #EDB #OpenSourceDatabase #DatabaseEngineering #DataMigration #DatabasePerformance #DatabaseTuning #EnterpriseDatabase #CloudMigration #DrIbrarAhmed</video:description>
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    <lastmod>2026-05-13T12:46:12+00:00</lastmod>
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    <video:video>
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      <video:title>PostgreSQL Security Hardening: Stop Real Production Attacks</video:title>
      <video:description>One weak PostgreSQL login can become a full database breach if roles, network access, and privileges are not locked down.

They begin with one credential.

One service account.
One forgotten admin host.
One weak pg_hba.conf rule.
One role with more privilege than it needs.
One superuser account is used every day.

After that, the attacker moves from the app tier to the database, from the database to replicas, and from replicas to backups, and suddenly, PostgreSQL is no longer a system. It is the prize room. Lovely work, humans.

In this deep dive, Dr. Ibrar Ahmed explains how to harden PostgreSQL production clusters against modern security threats using a practical, step-by-step approach.

You will learn:

How attackers move toward PostgreSQL clusters
Why firewalls are not enough
How to harden pg_hba.conf
How to enforce TLS and mTLS
Why md5 and trust must be removed
How to stop daily superuser usage
How to design safer PostgreSQL roles
How Row-Level Security protects sensitive data
How to audit dangerous SQL activity
How to monitor suspicious OS-level behavior
How to protect backups, WAL archives, and replicas
How to build a PostgreSQL incident response runbook
How to follow a 30-day hardening plan

This video covers PostgreSQL security from the network layer to SQL permissions, audit logging, backup protection, replication security, secrets management, and incident response.

This is not theory. It is a production hardening runbook.

Subscribe for more PostgreSQL deep dives, database security, performance tuning, high availability, replication, disaster recovery, and advanced database engineering.

Hashtags:

#PostgreSQL #Postgres #PostgreSQLSecurity #DatabaseSecurity #CyberSecurity #SecurityHardening #PostgreSQLDBA #DBA #DatabaseAdministrator #DatabaseEngineering #ProductionDatabase #DatabaseReliability #pg_hba #mTLS #TLS #SCRAM #RowLevelSecurity #RLS #PostgreSQLRLS #DatabaseAudit #pgaudit #WAL #PostgreSQLReplication #HighAvailability #DevOps #SRE #Linux #OpenSourceDatabase #SQL #DataSecurity #IncidentResponse </video:description>
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      <video:title>PostgreSQL Won the Database War, Here’s Why Engineers Trust It</video:title>
      <video:description>PostgreSQL did not win by hype. It won by earning engineers’ trust in real production systems.

In this deep dive, we look at how PostgreSQL became the default choice for serious production systems: from its Berkeley research roots, to ACID correctness, MVCC, write-ahead logging, crash recovery, extensions, cloud adoption, and the rise of pgvector for AI applications.

We cover:
- Why PostgreSQL became trusted in production
- ACID, MVCC, WAL, and crash recovery
- How extensions like PostGIS, TimescaleDB, Citus, and pgvector changed the game
- Why every major cloud platform supports PostgreSQL
- How PostgreSQL became relevant again in the AI era

If you care about databases, reliability, backend engineering, or AI infrastructure, this is the PostgreSQL story worth understanding.

Subscribe for more deep dives on PostgreSQL, databases, performance, and production engineering.</video:description>
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      <video:title>PostgreSQL Anthem, A Song for the Database We Love</video:title>
      <video:description>This is not the official PostgreSQL anthem.

I created this song for my love of PostgreSQL, the database that has powered serious production systems, developers, DBAs, startups, enterprises, and open-source communities for decades.</video:description>
      <video:player_loc allow_embed="yes">https://www.youtube.com/embed/FfeAanOwoRg</video:player_loc>
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      <video:title>PostgreSQL Anthem: A Song for the Database We Love</video:title>
      <video:description>A tribute song for PostgreSQL developers, DBAs, engineers, and the open-source database community.

This is not the official PostgreSQL anthem.

I created this song for my love of PostgreSQL, the database that has powered serious production systems, developers, DBAs, startups, enterprises, and open-source communities for decades.

PostgreSQL is more than a database engine.

It is ACID transactions.
It is WAL.
It is MVCC.
It is extensions.
It is reliability.
It is a community.
It is the reason many of us trust open-source databases in production.

This anthem is a fun tribute to PostgreSQL, created for developers, DBAs, architects, open-source fans, and everyone who has ever tuned a query, fixed replication, restored from backup, or watched EXPLAIN ANALYZE like it owed them money.

Again, this is not an official PostgreSQL song or official PostgreSQL project content. It is an independent fan-made tribute created by Dr. Ibrar Ahmed for love of Postgres.

Subscribe for more PostgreSQL videos, performance tuning, internals, replication, high availability, disaster recovery, and database engineering content.

Hashtags:

#PostgreSQL #Postgres #PostgreSQLAnthem #PostgresAnthem #DatabaseSong #SQL #OpenSource #OpenSourceDatabase #DatabaseEngineering #DBA #PostgreSQLDBA #PostgresDBA #DatabaseAdministrator #DatabaseCommunity #DatabaseInternals #MVCC #WAL #ACID #Replication #HighAvailability #DatabaseReliability #DataEngineering #Developers #DevOps #SRE #TechSong #ProgrammingSong #DatabaseMusic #DrIbrarAhmed</video:description>
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