(00) / Service
SCHEMAservices_db
TABLE/ primary key: service_id
database_design
Schemas you can grow into. Queries that stay fast.
Scalable database architecture in PostgreSQL, MongoDB and Redis. AI-augmented schema design, performance tuned by hand.
(01) / Benchmark
Same query. 100x faster with proper indexes.
EXPLAIN ANALYZEorders / 5M rows
Sequential scan
SELECT * FROM orders WHERE user_id = $1
0ms
Bitmap index scan
WHERE user_id = $1 (+ btree index)
0ms
Index scan + cover
(+ btree, INCLUDE(status, total))
0ms
PostgreSQL 17. 5M rows. Cold cache. Indicative.
(02) / Numbers
The shape of a tuned schema.
0M+
Rows comfortable
0ms
p95 query
0%
Migrations tested
0
Surprises in prod
(03) / What You Get
What You Get.
TABLEdeliverables5 rows
id
key
value
- 001PRIMARYSchema design tailored to your real workload, not a template.
- 002VARCHARMigrations, seeds, rollback strategy. Day one.
- 003VARCHARIndexes and query plans tuned by hand.
- 004VARCHARBackup and recovery plan you can rehearse.
- 005VARCHARDocumentation of every table, every relationship, every choice.
(04) / Differently
The query plan. No surprises at runtime.
EXPLAIN ANALYZEplanner output
-> Plan node #01(cost=0.04..0.16 rows=32 width=64)
AI explores schema trade-offs before locking in. You get the cleanest fit.
actual time=0.60ms · buffers=hit
-> Plan node #02(cost=0.08..0.32 rows=64 width=64)
I run my own production databases. I know what hurts at scale.
actual time=1.20ms · buffers=hit
-> Plan node #03(cost=0.12..0.48 rows=96 width=64)
Performance budgets per query. Not vibes.
actual time=1.80ms · buffers=hit
-> Plan node #04(cost=0.16..0.64 rows=128 width=64)
Built for the next 10x, not just the launch traffic.
actual time=2.40ms · buffers=hit
Planning Time: 0.18 ms · Execution Time: 12.4 ms
(05) / Guarantee
Promises you can hold me to.
- 01
Indexed for your real queries, measured before handoff.
- 02
Disaster recovery tested, not just configured.
- 03
Full schema and migration history. You own everything.
- 04
30 days of free tuning after launch.
(06) / Why Me
SELECT * FROM engineer.
SELECT * FROM engineer WHERE id = 'paul-julian-heise';
id
column
value
- 001experiencePostgreSQL, MySQL, MongoDB, Redis. Production for a decade.
- 002foundedI've broken databases. I've fixed databases. Mostly fixed.
- 003modelSenior engineer who treats data as a contract, not an afterthought.
- 004deliveryOne person across schema, queries, indexes, ops.
(4 rows)
(05) / Start