managing-database-replication
Provides setup guidance for replication and sharding for PostgreSQL, MySQL, and MongoDB.
Install
mkdir -p .claude/skills/managing-database-replication && curl -L -o skill.zip "https://agentskills.codes/api/skills/download/5446" && unzip -o skill.zip -d .claude/skills/managing-database-replication && rm skill.zipInstalls to .claude/skills/managing-database-replication
Activation
This is the description your AI agent reads to decide when to run this skill — the better it matches your request, the more reliably it fires.
Process use when you need to work with database scalability.Key capabilities
- →Configure PostgreSQL streaming and logical replication topologies
- →Initialize MySQL source-replica and group replication
- →Deploy MongoDB replica sets with automatic leader election
- →Implement automated failover using Patroni or MySQL InnoDB Cluster
- →Monitor replication lag and health via database-specific queries
- →Configure read routing using PgBouncer or ProxySQL
How it works
The skill configures database-specific replication parameters and users, initializes replicas via base backups or cluster commands, and sets up monitoring and routing tools. It automates the synchronization process and provides procedures for failover and conflict resolution.
Inputs & outputs
When to use managing-database-replication
- →Set up read replicas
- →Configure database sharding
- →Implement failover automation
- →Monitor replication lag
About this skill
Database Replication Manager
Overview
Configure and manage database replication topologies for PostgreSQL (streaming replication, logical replication), MySQL (source-replica, group replication), and MongoDB (replica sets). This skill covers primary-replica setup, read scaling through replica routing, failover automation, replication lag monitoring, and conflict resolution for multi-primary configurations.
Prerequisites
- Superuser or replication-role credentials on primary and replica servers
- Network connectivity between all replication nodes (verify with
pg_isreadyormysqladmin ping) psql,mysql, ormongoshCLI tools installed on all nodes- Matching major database versions across all replication nodes
- Sufficient disk space on replicas (equal to or greater than primary)
- SSH access to replica servers for initial base backup transfer
Instructions
-
Choose the replication topology based on requirements:
- Single primary + read replicas: Best for read-heavy workloads. All writes go to primary; reads distributed across replicas.
- Multi-primary (active-active): Best for geographic distribution. Requires conflict resolution. Use PostgreSQL logical replication or MySQL Group Replication.
- Cascading replication: Replica A replicates from primary, Replica B replicates from Replica A. Reduces primary load for many replicas.
-
For PostgreSQL streaming replication, configure the primary:
- Set
wal_level = replica,max_wal_senders = 10,max_replication_slots = 10 - Create replication user:
CREATE ROLE replicator WITH REPLICATION LOGIN PASSWORD 'secure_password' - Add replication entry to
pg_hba.conf:host replication replicator replica_ip/32 scram-sha-256 - Reload configuration:
SELECT pg_reload_conf()
- Set
-
Initialize the replica with a base backup:
pg_basebackup -h primary_host -U replicator -D /var/lib/postgresql/data -Fp -Xs -P -R. The-Rflag createsstandby.signaland configuresprimary_conninfoautomatically. -
For MySQL source-replica replication, configure the source:
- Set
server-id = 1,log_bin = mysql-bin,binlog_format = ROW - Create replication user:
CREATE USER 'replicator'@'replica_ip' IDENTIFIED BY 'secure_password'; GRANT REPLICATION SLAVE ON *.* TO 'replicator'@'replica_ip' - Record binary log position:
SHOW MASTER STATUS
- Set
-
Configure the MySQL replica:
CHANGE REPLICATION SOURCE TO SOURCE_HOST='primary_host', SOURCE_USER='replicator', SOURCE_PASSWORD='...', SOURCE_LOG_FILE='mysql-bin.000001', SOURCE_LOG_POS=154; START REPLICA. -
For MongoDB replica sets: initialize with
rs.initiate({_id: "rs0", members: [{_id: 0, host: "node1:27017"}, {_id: 1, host: "node2:27017"}, {_id: 2, host: "node3:27017"}]}). MongoDB handles leader election and failover automatically. -
Monitor replication lag continuously:
- PostgreSQL:
SELECT client_addr, state, sent_lsn, write_lsn, flush_lsn, replay_lsn, (sent_lsn - replay_lsn) AS lag_bytes FROM pg_stat_replication - MySQL:
SHOW REPLICA STATUS\G(checkSeconds_Behind_Source) - MongoDB:
rs.printReplicationInfo()andrs.printSecondaryReplicationInfo()
- PostgreSQL:
-
Configure application-level read routing: direct write queries to the primary connection and read queries to a load-balanced replica pool. Use connection poolers (PgBouncer, ProxySQL) or application middleware for automatic routing.
-
Set up automated failover using Patroni (PostgreSQL), MySQL InnoDB Cluster + MySQL Router, or MongoDB's built-in election mechanism. Test failover by stopping the primary and verifying the replica promotes automatically within the target RTO.
-
Configure alerting for replication lag exceeding 10 seconds, replication slot inactive for more than 1 hour, and replica connection drops. Stale replication slots in PostgreSQL cause WAL accumulation and can fill the disk.
Output
- Replication configuration files for primary and replica nodes
- Base backup and initialization scripts for setting up new replicas
- Replication monitoring queries with lag measurement and health checks
- Failover runbook with manual and automated promotion procedures
- Read routing configuration for application or connection pooler
Error Handling
| Error | Cause | Solution |
|---|---|---|
| Replication lag increasing steadily | Replica cannot keep up with primary write volume | Check replica I/O and CPU; increase max_parallel_workers on replica; consider upgrading replica hardware; reduce write-heavy batch operations on primary |
replication slot is inactive warning | Replica disconnected or paused, WAL accumulating on primary | Reconnect replica; if permanently removed, drop the slot with SELECT pg_drop_replication_slot('slot_name') to prevent disk fill |
could not connect to primary on replica | Network partition, primary down, or authentication failure | Verify network connectivity; check pg_hba.conf entries; confirm replication user credentials; check primary process status |
| Replica has diverged from primary | Split-brain after failed failover or manual writes to replica | Re-initialize replica from fresh base backup; for PostgreSQL, use pg_rewind if timeline divergence is small |
| Conflict in logical replication | Same row modified on both publisher and subscriber | Configure conflict resolution policy; use UPDATE conflict handler; design schema to avoid cross-node writes to same rows |
Examples
Setting up PostgreSQL read replicas for a web application: A primary database handles 2,000 writes/second but read traffic is 10x higher. Two streaming replicas are added with PgBouncer routing read queries to replicas in round-robin. Result: primary CPU drops from 90% to 40%, read latency improves by 60%.
Automated failover with Patroni: A 3-node PostgreSQL cluster managed by Patroni with etcd for consensus. When the primary fails, Patroni promotes the most up-to-date replica within 10 seconds. Application reconnects automatically through the Patroni-managed VIP or DNS endpoint.
Cross-region logical replication for compliance: EU customer data must stay in EU region. Logical replication publishes only non-PII tables to the US region replica. EU application reads locally; US analytics queries use the replicated subset. Publication filter: CREATE PUBLICATION us_analytics FOR TABLE orders, products, categories.
Resources
- PostgreSQL streaming replication: https://www.postgresql.org/docs/current/warm-standby.html
- PostgreSQL logical replication: https://www.postgresql.org/docs/current/logical-replication.html
- MySQL replication: https://dev.mysql.com/doc/refman/8.0/en/replication.html
- Patroni (PostgreSQL HA): https://patroni.readthedocs.io/
- MongoDB replica sets: https://www.mongodb.com/docs/manual/replication/
When not to use it
- →When database versions are mismatched across nodes
- →When network connectivity between replication nodes is unavailable
Prerequisites
Limitations
- →Stale PostgreSQL replication slots can cause WAL accumulation and disk fill
- →Logical replication conflicts require manual resolution policies
- →Replica hardware must have disk space equal to or greater than the primary
How it compares
Unlike manual configuration, this skill provides automated initialization scripts and standardized monitoring queries for specific replication topologies across PostgreSQL, MySQL, and MongoDB.
Compared to similar skills
managing-database-replication side by side with the closest alternatives in the catalog.
| Skill | Installs | Updated | Safety | Difficulty |
|---|---|---|---|---|
| managing-database-replication (this skill) | 1 | 27d | Review | Advanced |
| aws-aurora | 1 | 4mo | Review | Intermediate |
| local-cluster-manager | 2 | 26d | Review | Intermediate |
| supabase-load-scale | 1 | 27d | Caution | Advanced |
Try saying
Example prompts that trigger this skill in your AI assistant.
More by jeremylongshore
View all by jeremylongshore →You might also like
aws-aurora
alinaqi
AWS Aurora Serverless v2, RDS Proxy, Data API, connection pooling
local-cluster-manager
multigres
Manage local multigres cluster components (multipooler, pgctld, multiorch, multigateway) - start/stop services, view logs, connect with psql, test S3 backups locally
supabase-load-scale
jeremylongshore
Implement Supabase load testing, auto-scaling, and capacity planning strategies. Use when running performance tests, configuring horizontal scaling, or planning capacity for Supabase integrations. Trigger with phrases like "supabase load test", "supabase scale", "supabase performance test", "supabase capacity", "supabase k6", "supabase benchmark".
environment-setup
studentdotai
Complete setup for uv, GDAL 3.10.3, PostGIS, and all project dependencies. Use when setting up development environment, installing GDAL, or configuring PostGIS backend.
db
Rune-kit
Database workflow specialist. Generates migration files with rollback scripts, detects breaking schema changes, and validates query parameterization.
sql-optimization-patterns
wshobson
Master SQL query optimization, indexing strategies, and EXPLAIN analysis to dramatically improve database performance and eliminate slow queries. Use when debugging slow queries, designing database schemas, or optimizing application performance.