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Optimise

Database query & performance optimisation

A slow database is often the real problem behind a slow product and a large cloud bill. We find the queries doing the damage and fix them, with benchmarks before and after and a rollback plan for every change.

Sample audit report · top offendersMySQL · PostgreSQL
QueryBeforeAfter
SELECT … FROM orders WHERE merchant_id=? AND status=?Composite index (merchant_id, status, created_at)3.8s42ms
Loan ledger monthly statementRewrite + range partition by month52s1.9s
Campaign dashboard aggregatesPre-aggregated summary table11.2s120ms
Payment reconciliation jobBatched upserts, removed row-by-row loop47min3min
Illustrative example of an audit deliverable. Every fix ships with a before/after benchmark and a rollback plan.
What's included

Everything you need, nothing you don't

query_stats

Slow-query forensics

Workload profiling using slow logs, pg_stat_statements, Performance Insights and execution plans. We rank queries by total impact, not just how slow each one is.

account_tree

Indexing strategy

Composite and covering indexes where they help, and removal of redundant ones that slow down writes.

edit_note

Query & ORM rewrites

We remove N+1 patterns, replace correlated subqueries and fix ORM-generated SQL that doesn't scale.

view_week

Schema & partitioning

Partitioning, archival of cold data, the right data types and normalisation where it pays off.

tune

Engine & connection tuning

Buffer pools, work memory, connection pooling (PgBouncer, ProxySQL) and replica routing.

trending_down

Right-sizing after the fix

Once the load comes down, we resize instances. Many clients drop one or two instance tiers.

Process

How an engagement runs

1

Health check

Read-only access to metrics and slow logs. Within 48 hours you get a ranked list of problem queries.

2

Fix plan

Each fix is estimated for impact, risk and effort. You approve what we ship.

3

Implement & benchmark

Changes go to staging first, with before/after numbers on production-like data.

4

Roll out & verify

We deploy in a controlled way with rollback ready, and monitor p95 latency and CPU.

5

Guardrails

Query review checks in CI, plus dashboards and alerts so regressions are caught early.

Engines & platforms

We tune the databases you already run

You don't need to re-platform to get faster. We work with your current engine and hosting, managed or self-hosted.

databaseMySQLdatabasePostgreSQLdatabaseMariaDBdatabaseMongoDBdatabaseAmazon RDSdatabaseAmazon AuroradatabaseCloud SQLdatabaseAlloyDBdatabaseBigQuerydatabaseRedshiftdatabaseRedisdatabaseSQL Server
FAQ

Frequently asked questions

Do you need write access to our production database?

No. The health check uses read-only access to metrics, slow-query logs and execution plans. Changes are applied through your normal deployment process, or by us with your approval and a rollback plan.

Which databases do you work with?

MySQL, MariaDB, PostgreSQL, MongoDB and SQL Server, self-hosted or managed (Amazon RDS, Aurora, Cloud SQL, AlloyDB), plus warehouses like BigQuery and Redshift.

How much faster will our queries be?

It depends on the workload. Missing indexes and inefficient queries often give order-of-magnitude improvements on the worst queries. The health check tells you what to expect before you commit.

Will optimisation reduce our cloud bill?

Often, yes. Less CPU and I/O usually means you can run smaller instances or fewer replicas. We combine this with our cloud cost reduction service when it makes sense.

Get in touch

Get a free 48-hour database health check.

An engineer, not a salesperson, will reply within one business day. Database health checks are free for qualifying production workloads.

languagebluecurrentlabs.com
location_onIndia · serving clients worldwide
workspace_premiumRegistered AWS PartnerbadgeEx-AWS & Google Cloud teammilitary_techAWS & GCP certifiedhistory25+ years experience eachstorefrontShopify Partner

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