Performance and queries
Diagnosis of slow queries, execution plans, regressions, indexes, and CPU, memory, or I/O bottlenecks.
When to hire
Your team has symptoms; consulting finds evidence
The work connects workload, configuration, structure, infrastructure, and operations to avoid generic tuning that merely moves the problem.
Slow PostgreSQL with no clear cause
High CPU or I/O on RDS
Queries that regressed after a deployment
Replication lag or growing WAL
Delayed autovacuum and bloated tables
Uncertainty about indexes and configuration
Migration, upgrade, or architecture change
Need for an independent technical review
Areas of expertise
Consulting focused on your environment’s problem
Amazon RDS and Aurora
Configuration, capacity, cost, CloudWatch, Performance Insights, and PostgreSQL internals assessment.
Replication and high availability
Investigation of replication lag, slots, WAL, standbys, failover, RPO, and RTO.
Autovacuum and bloat
Assessment of dead tuples, wraparound, growth, maintenance, fillfactor, and bloat reduction strategies.
Architecture and capacity
Technical review for migrations, growth, upgrades, consolidation, and on-premises or cloud decisions.
Incidents and follow-up
Technical support to identify root cause, reduce risk, and turn evidence into an executable action plan.
How it works
From first conversation to action plan
- 1
Discovery
Problem, impact, environment, constraints, and goal.
- 2
Safe collection
Evidence with least privilege and a read-only preference.
- 3
Analysis
Correlation across queries, plans, configuration, maintenance, and infrastructure.
- 4
Recommendation
Clear priorities, risks, validation, and next steps.
Frequently asked questions
Does consulting change the database?
Diagnosis starts with read-only collection. Changes are proposed with evidence and only performed after authorization and planning.
Do you support PostgreSQL on RDS and Aurora?
Yes. The assessment combines AWS metrics with PostgreSQL internals instead of drawing conclusions from CPU or memory alone.
How do we start?
The first conversation establishes the problem, criticality, environment, and goal. We then define scope and a safe collection approach.
Discuss your PostgreSQL environment
Describe the problem, criticality, and environment. We will determine whether consulting, an assessment, or continuous monitoring is the right next step.
Talk to a specialist