feat(monitoring): add Redis exporter + Sentry docs to deployment guide
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- Add redis-exporter container to docker-compose (oliver006/redis_exporter, 32MB)
- Add Redis scrape target to Prometheus config
- Add 4 Redis alert rules: RedisDown, HighMemory, HighConnections, RejectedConnections
- Document Step 19b (Sentry Error Tracking) in Hetzner deployment guide
- Document Step 19c (Redis Monitoring) in Hetzner deployment guide
- Update resource budget and port reference tables

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
This commit is contained in:
2026-02-27 23:30:18 +01:00
parent ce822af883
commit 35d1559162
54 changed files with 664 additions and 343 deletions

View File

@@ -213,13 +213,13 @@ For complex changes that require data transformation:
def upgrade() -> None:
# Create new column
op.add_column('products', sa.Column('normalized_price', sa.Numeric(10, 2)))
# Migrate data
connection = op.get_bind()
connection.execute(
text("UPDATE products SET normalized_price = CAST(price AS NUMERIC) WHERE price ~ '^[0-9.]+$'")
)
# Make column non-nullable after data migration
op.alter_column('products', 'normalized_price', nullable=False)
@@ -329,7 +329,7 @@ def upgrade() -> None:
if context.get_x_argument(as_dictionary=True).get('dev_data', False):
# Add development sample data
pass
# Always apply schema changes
op.create_table(...)
```
@@ -345,20 +345,20 @@ For large data transformations, use batch processing:
```python
def upgrade() -> None:
connection = op.get_bind()
# Process in batches to avoid memory issues
batch_size = 1000
offset = 0
while True:
result = connection.execute(
text(f"SELECT id, old_field FROM products LIMIT {batch_size} OFFSET {offset}")
)
rows = result.fetchall()
if not rows:
break
for row in rows:
# Transform data
new_value = transform_function(row.old_field)
@@ -366,7 +366,7 @@ def upgrade() -> None:
text("UPDATE products SET new_field = :new_val WHERE id = :id"),
{"new_val": new_value, "id": row.id}
)
offset += batch_size
```