Database
Operations
Your data layer, run like production infrastructure. We keep every database fast, highly available, backed up, and recoverable, across engines and clouds, so your teams ship features instead of babysitting queries at 3am.
Polyglot By Design, Managed As One.
Relational & Distributed SQL
OLTP workloads, ACID guarantees, and horizontal SQL at scale.
PostgreSQL
MySQL
MariaDB
SQL Server
Oracle
CockroachDBNoSQL, Document & Graph
Flexible schemas, wide-column stores, and connected data.
MongoDB
Cassandra
Neo4jCache & Time-Series
Sub-millisecond reads and high-ingest metric workloads.
Redis
InfluxDBSearch & Analytics
Full-text search, columnar analytics, and the warehouse.
Elasticsearch
ClickHouse
Snowflake
The Whole Data Layer, On Call.
Provisioning & Patching
Databases stood up as code, right-sized, and kept current with security patches and minor-version upgrades on a maintenance calendar you approve.
0 surprise upgradesHA & Replication
Primary-replica topologies, automatic failover, and read scaling tuned to keep writes safe and reads fast across zones and regions.
99.99% uptime targetBackup & Recovery
Automated snapshots plus continuous WAL for point-in-time recovery, with restores rehearsed on a schedule, not assumed.
restores tested monthlyPerformance Tuning
Slow-query hunting, index and plan review, connection pooling, and vacuum or compaction tuning so latency stays flat as you grow.
p95 held under SLOSecurity & Compliance
Encryption at rest and in transit, least-privilege roles, secret rotation, audit logging, and data masking for regulated workloads.
SOC2 / HIPAA readyMonitoring & On-Call
Golden database signals wired into dashboards and paging, with a human on-call who knows your schema, not a generic runbook.
24/7 coverageRewind To Any Second.
Daily snapshots give you a floor; continuous write-ahead logging fills every moment in between. Together they let us restore to the instant before a bad deploy or an accidental DELETE, not just to last night.
data at risk on failure
time to full restore
We Read The Plan, Not The Guess.
Every slow endpoint traces back to a query plan. We profile the real ones, fix the indexes and the SQL, and prove the win with EXPLAIN ANALYZE, not vibes.
Change The Schema, Not The Uptime.
Expand
ALTER TABLE … ADD COLUMN v2 NULL
Additive only. Old code keeps working, nothing locks.
Backfill
UPDATE … SET v2 = f(v1) WHERE id BETWEEN …
Batched and throttled so replication never falls behind.
Dual-write
write(v1); write(v2);
App writes both columns behind a feature flag.
Cutover
read(v2) // flip flag
Reads switch to the new shape. Instantly reversible.
Contract
ALTER TABLE … DROP COLUMN v1
Once verified, the old column is retired. Done.
Failover Is A Non-Event.
When a node dies, humans should not be the recovery plan. We automate detection, promotion, and rerouting so an outage becomes a blip your users never notice.
Primary serving writes, replicas streaming in sync.
Health checks fail three times; the primary is marked down.
The most caught-up replica is elected and promoted to writer.
Connection strings repoint; writes resume on the new primary.
Query The Difference.
Five reasons teams hand us their most critical databases, returned as plainly as a result set. No asterisks, no hidden columns.
| # | reason | outcome | status |
|---|---|---|---|
| 1 | Engine-agnostic team | One on-call crew for Postgres, MySQL, Mongo, Redis and more | covered |
| 2 | Reliability-first | HA topologies, tested restores, and rehearsed DR runbooks | enforced |
| 3 | Plans over guesses | Queries profiled with EXPLAIN, indexes and SQL owned end to end | tuned |
| 4 | Compliance built in | Encryption, audit logging, masking, and least-privilege access | audited |
| 5 | No lock-in | Runbooks and dashboards handed to your team, documented in full | handover |
Frequently Asked Questions.
Both. Whether you run PostgreSQL on your own VMs, a self-managed Mongo cluster, or fully managed services like RDS, Aurora, or Atlas, we operate them the same way, with monitoring, backups, tuning, and on-call. We will also advise when moving to a managed service actually saves you money and toil.
Let Your Data Layer Run Itself
Send us your engines and your pain points. We will assess health, harden reliability, and take on the on-call, so your databases stop being the thing that keeps you up.