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Database Backups

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BagelHole
database-backups

Implement database backup strategies. Configure automated backups, retention, and recovery testing. Use when designing backup and recovery procedures.

Overview

PublisherBagelHole
RepositoryDevOps-Security-Agent-Skills
Skill namedatabase-backups
Stars
1.1K
Forks
161
Bundled files
Instructions only
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by BagelHole on GitHub. Read the source before you install it.

Installation

Install the Database Backups AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/BagelHole/DevOps-Security-Agent-Skills/tree/main/infrastructure/databases/database-backups
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/BagelHole/DevOps-Security-Agent-Skills.git /tmp/DevOps-Security-Agent-Skills
mkdir -p .claude/skills
cp -r /tmp/DevOps-Security-Agent-Skills/infrastructure/databases/database-backups .claude/skills/database-backups
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Database Backups in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Database Backups on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Database Backups is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Database Backups

Implement comprehensive, automated database backup strategies with tested recovery procedures.

When to Use

  • You are deploying a new database and need a backup plan from day one.
  • You need to automate nightly or hourly backups for PostgreSQL, MySQL, or MongoDB.
  • You want to ship backups to S3-compatible object storage with retention policies.
  • You are building or verifying disaster recovery runbooks.

Prerequisites

  • Database client tools installed (pg_dump, mysqldump, mongodump).
  • AWS CLI or restic for remote storage.
  • cron or systemd timers for scheduling.
  • An S3 bucket (or S3-compatible endpoint) for offsite backups.

Backup Types

TypeDescriptionFrequencyUse Case
FullComplete database copyWeeklyBaseline for restores
IncrementalChanges since last backupDailyReduce storage and time
Transaction log / WALContinuous log shippingContinuousPoint-in-time recovery (PITR)
SnapshotStorage-level snapshot (EBS, ZFS)DailyFast full restores

PostgreSQL Backups

Logical Backup with pg_dump

bash
#!/bin/bash
# pg_backup.sh — PostgreSQL logical backup
set -euo pipefail

DB_NAME="mydb"
DB_USER="backup_user"
DB_HOST="localhost"
BACKUP_DIR="/backups/postgres"
DATE=$(date +%Y%m%d_%H%M%S)
FILENAME="${BACKUP_DIR}/${DB_NAME}_${DATE}.dump"

mkdir -p "$BACKUP_DIR"

# Custom compressed format (recommended for selective restore)
pg_dump -h "$DB_HOST" -U "$DB_USER" -Fc -Z6 "$DB_NAME" > "$FILENAME"

echo "[$(date)] PostgreSQL backup complete: $FILENAME ($(du -h "$FILENAME" | cut -f1))"

Physical Backup with pg_basebackup

bash
#!/bin/bash
# pg_basebackup.sh — PostgreSQL physical backup for PITR
set -euo pipefail

BACKUP_DIR="/backups/postgres/base_$(date +%Y%m%d)"
mkdir -p "$BACKUP_DIR"

pg_basebackup \
  -h localhost \
  -U replicator \
  -D "$BACKUP_DIR" \
  --wal-method=stream \
  --checkpoint=fast \
  --progress \
  --verbose

echo "[$(date)] Base backup complete: $BACKUP_DIR"

PostgreSQL Restore

bash
# Restore from custom-format dump
pg_restore -h localhost -U myapp -d mydb --clean --if-exists /backups/postgres/mydb_20250115_020000.dump

# Restore a single table
pg_restore -h localhost -U myapp -d mydb -t orders /backups/postgres/mydb_20250115_020000.dump

# Restore from plain SQL
psql -h localhost -U myapp -d mydb < /backups/postgres/mydb_20250115.sql

MySQL Backups

Logical Backup with mysqldump

bash
#!/bin/bash
# mysql_backup.sh — MySQL logical backup
set -euo pipefail

DB_NAME="mydb"
DB_USER="backup_user"
DB_PASS="${MYSQL_BACKUP_PASSWORD}"
BACKUP_DIR="/backups/mysql"
DATE=$(date +%Y%m%d_%H%M%S)
FILENAME="${BACKUP_DIR}/${DB_NAME}_${DATE}.sql.gz"

mkdir -p "$BACKUP_DIR"

mysqldump -u "$DB_USER" -p"$DB_PASS" \
  --single-transaction \
  --routines \
  --triggers \
  --events \
  "$DB_NAME" | gzip > "$FILENAME"

echo "[$(date)] MySQL backup complete: $FILENAME ($(du -h "$FILENAME" | cut -f1))"

Physical Backup with Percona XtraBackup

bash
#!/bin/bash
# xtrabackup.sh — MySQL physical backup
set -euo pipefail

BACKUP_DIR="/backups/mysql/full_$(date +%Y%m%d)"

xtrabackup --backup \
  --user=backup_user \
  --password="${MYSQL_BACKUP_PASSWORD}" \
  --target-dir="$BACKUP_DIR"

xtrabackup --prepare --target-dir="$BACKUP_DIR"

echo "[$(date)] XtraBackup complete: $BACKUP_DIR"

MySQL Restore

bash
# Restore from compressed mysqldump
gunzip < /backups/mysql/mydb_20250115_020000.sql.gz | mysql -u root -p mydb

# Restore from XtraBackup
sudo systemctl stop mysql
sudo rm -rf /var/lib/mysql/*
xtrabackup --move-back --target-dir=/backups/mysql/full_20250115
sudo chown -R mysql:mysql /var/lib/mysql
sudo systemctl start mysql

MongoDB Backups

Logical Backup with mongodump

bash
#!/bin/bash
# mongo_backup.sh — MongoDB backup
set -euo pipefail

MONGO_URI="mongodb://backup_user:${MONGO_BACKUP_PASSWORD}@localhost:27017"
BACKUP_DIR="/backups/mongodb"
DATE=$(date +%Y%m%d_%H%M%S)
TARGET="${BACKUP_DIR}/${DATE}"

mkdir -p "$BACKUP_DIR"

# Full backup with compression
mongodump --uri="$MONGO_URI" --gzip --out="$TARGET"

echo "[$(date)] MongoDB backup complete: $TARGET"

MongoDB Restore

bash
# Restore all databases
mongorestore --uri="mongodb://admin:secret@localhost:27017" \
  --gzip --drop /backups/mongodb/20250115_020000/

# Restore a single database
mongorestore --uri="mongodb://admin:secret@localhost:27017" \
  --gzip --drop --db mydb /backups/mongodb/20250115_020000/mydb/

# Restore a single collection
mongorestore --uri="mongodb://admin:secret@localhost:27017" \
  --gzip --drop --db mydb --collection users \
  /backups/mongodb/20250115_020000/mydb/users.bson.gz

Upload to S3

bash
#!/bin/bash
# s3_upload.sh — Upload backups to S3
set -euo pipefail

S3_BUCKET="s3://my-backups"
BACKUP_DIR="/backups"
DATE=$(date +%Y%m%d)

# Upload PostgreSQL backup
aws s3 cp "${BACKUP_DIR}/postgres/" "${S3_BUCKET}/postgres/${DATE}/" \
  --recursive --storage-class STANDARD_IA \
  --sse AES256

# Upload MySQL backup
aws s3 cp "${BACKUP_DIR}/mysql/" "${S3_BUCKET}/mysql/${DATE}/" \
  --recursive --storage-class STANDARD_IA \
  --sse AES256

# Upload MongoDB backup
aws s3 cp "${BACKUP_DIR}/mongodb/" "${S3_BUCKET}/mongodb/${DATE}/" \
  --recursive --storage-class STANDARD_IA \
  --sse AES256

echo "[$(date)] S3 upload complete for ${DATE}"

S3 Lifecycle Policy for Retention

json
{
  "Rules": [
    {
      "ID": "BackupRetention",
      "Status": "Enabled",
      "Filter": { "Prefix": "" },
      "Transitions": [
        { "Days": 30, "StorageClass": "GLACIER" }
      ],
      "Expiration": { "Days": 365 }
    }
  ]
}
bash
aws s3api put-bucket-lifecycle-configuration \
  --bucket my-backups \
  --lifecycle-configuration file://lifecycle.json

Restic Backup (Encrypted, Deduplicated)

bash
# Initialize a restic repository on S3
export AWS_ACCESS_KEY_ID="AKIA..."
export AWS_SECRET_ACCESS_KEY="..."
export RESTIC_PASSWORD="strong_encryption_password"
export RESTIC_REPOSITORY="s3:s3.amazonaws.com/my-backups-restic"

restic init

# Backup the local backup directory
restic backup /backups/postgres /backups/mysql /backups/mongodb

# List snapshots
restic snapshots

# Prune old snapshots — keep 7 daily, 4 weekly, 6 monthly
restic forget --keep-daily 7 --keep-weekly 4 --keep-monthly 6 --prune

# Restore a snapshot
restic restore latest --target /restore/

Cron Schedules

bash
# /etc/cron.d/db-backups

# PostgreSQL: nightly at 02:00
0 2 * * * backup /opt/scripts/pg_backup.sh >> /var/log/backup-pg.log 2>&1

# MySQL: nightly at 02:30
30 2 * * * backup /opt/scripts/mysql_backup.sh >> /var/log/backup-mysql.log 2>&1

# MongoDB: nightly at 03:00
0 3 * * * backup /opt/scripts/mongo_backup.sh >> /var/log/backup-mongo.log 2>&1

# Upload to S3: daily at 04:00
0 4 * * * backup /opt/scripts/s3_upload.sh >> /var/log/backup-s3.log 2>&1

# Local cleanup: keep 7 days of local backups
0 5 * * * backup find /backups -type f -mtime +7 -delete >> /var/log/backup-cleanup.log 2>&1

# Restic prune: weekly on Sunday at 06:00
0 6 * * 0 backup /opt/scripts/restic_prune.sh >> /var/log/backup-restic.log 2>&1

Automated Recovery Testing

bash
#!/bin/bash
# verify_backup.sh — weekly restore test
set -euo pipefail

BACKUP_FILE=$(ls -t /backups/postgres/mydb_*.dump | head -1)

echo "[$(date)] Starting backup verification with $BACKUP_FILE"

# Spin up a temporary PostgreSQL container
docker run -d --name pg-restore-test \
  -e POSTGRES_USER=testuser \
  -e POSTGRES_PASSWORD=testpass \
  -e POSTGRES_DB=testdb \
  postgres:16-alpine

# Wait for container to be ready
sleep 5
until docker exec pg-restore-test pg_isready -U testuser; do
  sleep 2
done

# Copy backup into container and restore
docker cp "$BACKUP_FILE" pg-restore-test:/tmp/backup.dump
docker exec pg-restore-test pg_restore -U testuser -d testdb --clean --if-exists /tmp/backup.dump

# Run verification queries
USERS_COUNT=$(docker exec pg-restore-test psql -U testuser -d testdb -tAc "SELECT COUNT(*) FROM users;")
ORDERS_COUNT=$(docker exec pg-restore-test psql -U testuser -d testdb -tAc "SELECT COUNT(*) FROM orders;")

echo "[$(date)] Verification: users=$USERS_COUNT, orders=$ORDERS_COUNT"

# Cleanup
docker rm -f pg-restore-test

# Alert on failure
if [ "$USERS_COUNT" -lt 1 ]; then
  echo "ALERT: Backup verification failed — users table is empty" >&2
  exit 1
fi

echo "[$(date)] Backup verification PASSED"

Unified Backup Script

bash
#!/bin/bash
# backup_all.sh — unified backup orchestrator
set -euo pipefail

LOG="/var/log/backup-all.log"
ALERT_EMAIL="ops@example.com"
ERRORS=0

log() { echo "[$(date '+%F %T')] $*" | tee -a "$LOG"; }

run_backup() {
  local name="$1" script="$2"
  log "Starting $name backup..."
  if bash "$script" >> "$LOG" 2>&1; then
    log "$name backup succeeded."
  else
    log "ERROR: $name backup FAILED."
    ERRORS=$((ERRORS + 1))
  fi
}

run_backup "PostgreSQL" /opt/scripts/pg_backup.sh
run_backup "MySQL"      /opt/scripts/mysql_backup.sh
run_backup "MongoDB"    /opt/scripts/mongo_backup.sh
run_backup "S3 Upload"  /opt/scripts/s3_upload.sh

if [ "$ERRORS" -gt 0 ]; then
  log "Backup run completed with $ERRORS error(s). Sending alert."
  mail -s "BACKUP ALERT: $ERRORS failure(s)" "$ALERT_EMAIL" < "$LOG"
  exit 1
fi

log "All backups completed successfully."

Best Practices

  • 3-2-1 Rule: Keep 3 copies of data, on 2 different media types, with 1 offsite.
  • Encrypt backups at rest: Use restic (built-in encryption), AWS SSE, or gpg.
  • Test restores regularly: A backup that has never been restored is not a backup.
  • Monitor backup jobs: Alert immediately on any failure; do not rely on silent cron jobs.
  • Document RTOs and RPOs: Define Recovery Time Objective and Recovery Point Objective for each database.
  • Version your backup scripts: Store them in Git alongside your infrastructure code.
  • Use --single-transaction: For MySQL and PostgreSQL logical backups to get a consistent snapshot.
  • Separate backup credentials: Use a dedicated read-only database user for backups.

Troubleshooting

SymptomLikely CauseFix
pg_dump: too many clientsBackup connection competes with app poolSchedule during low traffic; increase max_connections by 5 for backup user
mysqldump hangs on large tableTable lock contentionUse --single-transaction (InnoDB) or schedule during maintenance window
mongodump slow on replicaReading from secondary under loadUse --readPreference=secondaryPreferred and schedule off-peak
S3 upload fails with timeoutLarge file over slow connectionUse aws s3 cp --expected-size or multipart with aws s3api
Restic prune takes hoursToo many snapshots accumulatedRun restic forget --prune more frequently; limit snapshot count
Restore fails with "role does not exist"Backup includes role-dependent objectsCreate roles first or use --no-owner --no-privileges on restore

Related Skills

  • postgresql - PostgreSQL administration and pg_dump details
  • mysql - MySQL administration and mysqldump details
  • mongodb - MongoDB administration and mongodump details
  • redis - Redis RDB/AOF persistence and backup

Frequently asked questions

What does the Database Backups AI skill do?

Implement database backup strategies. Configure automated backups, retention, and recovery testing. Use when designing backup and recovery procedures.

Why use Database Backups on TypingMind?

Because you install it once and use it with any model. Database Backups is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Database Backups in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/BagelHole/DevOps-Security-Agent-Skills/tree/main/infrastructure/databases/database-backups. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Database Backups?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Database Backups?

As many as you like. As long as a model supports skills, you can use Database Backups with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Database Backups AI skill free?

Yes. It is published on GitHub by BagelHole under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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