Question 1

Why one Database Engineering service instead of separate Managed DBA, Migration, and Performance offerings?

Accepted Answer

Those used to be sold as six separate line items. In practice they're one skill set applied to different problems on the same databases, so we sell one service and route the work internally to whichever of the six sub-areas (architecture, performance, reliability, modernization, migration, cost) your problem actually needs. You describe the problem once, not which of six services you think you need.

Question 2

What is database engineering?

Accepted Answer

Database engineering is the discipline of designing, tuning, and operating the data layer a production application runs on: schema design, indexing, query performance, replication, backup and recovery, and the cost of the infrastructure underneath it. It sits closer to specialized software engineering than to helpdesk-style administration.

Question 3

What does a database engineer do?

Accepted Answer

Day to day: reviews schema changes before they ship, reads query plans with EXPLAIN ANALYZE to find what's actually slow, tunes indexes and connection pooling, sets up and tests replication and failover, and sizes infrastructure to the workload instead of guessing. On an incident, a database engineer finds the root cause, not just restarts the instance.

Question 4

When do you need database performance tuning?

Accepted Answer

Three signals: a specific query or report is slow and getting slower as data grows, connection counts or CPU are climbing without a matching traffic increase, or you're about to resize an instance and want to know if the problem is capacity or a missing index. Tuning is the right call before a resize, since a missing index or a fixed N+1 query pattern costs nothing to add and often outperforms a bigger instance.

Question 5

How do you diagnose slow queries?

Accepted Answer

Start with EXPLAIN ANALYZE on the actual query, not a guess — it shows whether the planner is doing a sequential scan where an index should apply, and where the time is really going. Pair it with pg_stat_statements (PostgreSQL) or the slow query log (MySQL) to find what's slow in aggregate, not just the one query someone noticed. Most slow queries trace back to a missing or unused index, a query pulling more rows or columns than the application needs, or lock contention from a long-running transaction.

Question 6

When should you resize a database?

Accepted Answer

Resize when the workload itself has outgrown what query optimization can fix: more concurrent connections than the instance can serve, or a working set that no longer fits in memory. Resizing before diagnosing the query is the expensive default — it usually buys a few months before the same slow query shows up again on a bigger, costlier instance.

Question 7

When should you optimize SQL instead of resizing?

Accepted Answer

Whenever a specific query or endpoint is the bottleneck rather than the whole workload. Indexing and query rewrites are close to free and usually solve it outright, where a resize just gives the same inefficient query more hardware to run slowly on. We diagnose with the query plan first and only recommend a resize once optimization is exhausted.

Question 8

How do you improve database reliability?

Accepted Answer

Reliability comes from four things working together: replication to a standby that's actually tested, not just configured; automated backups with a restore that's been verified to work; a failover process with a known recovery time; and monitoring that catches replication lag or disk pressure before it becomes an outage. Most reliability gaps trace back to a failover nobody's tested or a backup nobody's restored, not missing infrastructure.

Question 9

How do you migrate Oracle to PostgreSQL?

Accepted Answer

Schema conversion first: Oracle-specific types, PL/SQL procedures, and sequences translated to PostgreSQL equivalents. Then a data migration approach, usually CDC (change data capture) for a low-downtime cutover on an active database, application-layer testing against the new schema, and a rollback path kept live until the cutover is verified. Schema and procedure conversion is usually the long pole, not the data transfer itself.

Question 10

How do you reduce RDS or Aurora costs?

Accepted Answer

Right-size the instance to actual CPU and memory utilization instead of the original provisioning guess, move stable workloads to Reserved Instances or Savings Plans, and check storage and I/O: over-provisioned IOPS and unused snapshots are common in an inherited RDS setup. Query optimization cuts cost indirectly too, since a query that no longer scans the whole table needs less compute to serve the same traffic.

Question 11

What databases do you support?

Accepted Answer

PostgreSQL, MySQL, Oracle, SQL Server, MongoDB, Redis, and their managed cloud equivalents: AWS RDS, Aurora, Google Cloud SQL, Azure SQL Database, and Cloud Spanner. Multi-database environments and distributed databases are common among our clients.

Question 12

PostgreSQL vs MySQL for production?

Accepted Answer

Both run production workloads at scale. PostgreSQL has broader native support for complex queries, JSON, full-text search, and extensions like pgvector, which makes it the default recommendation for new builds and for teams adding AI or vector workloads. MySQL remains solid for straightforward read-heavy web applications and has a wide range of managed-hosting options at the low end. For an existing MySQL app, the migration case usually comes down to a specific gap, like JSON querying, window functions, or extension support, not a blanket claim that one engine beats the other.

Question 13

What's the difference between this and Data Engineering?

Accepted Answer

Database Engineering works on the databases themselves: schema, queries, replication, migrations, cost. Data Engineering builds the self-service system that lets other teams ship pipelines and data products without routing through a central team. They're often paired, but Database Engineering is the one to start with if the problem is a specific database, not a platform.

Question 14

How does this compare to hiring a full-time DBA?

Accepted Answer

A full-time in-house DBA is a significant salary and benefits commitment, for one person covering business hours. We bring a team, not one person's vacation-limited coverage, with extended on-call available for engagements that need it. Most clients find it costs meaningfully less than an equivalent in-house hire.

Question 15

Do I have to sign up for a retainer, or can I get a one-time fix?

Accepted Answer

Both are available. A one-time diagnostic engagement (root cause in writing, no ongoing commitment) fits a specific problem you need solved now. A monthly retainer fits ongoing monitoring, proactive optimization, and on-call coverage. We'll tell you which one actually fits, and what it costs, after we understand the problem.

Question 16

What's included in database support services from DharmOps?

Accepted Answer

Ongoing production support: monitoring for replication lag, disk pressure, and connection issues before they become outages, prioritized response when something breaks, and proactive query and index review so performance doesn't quietly degrade between check-ins. It runs on the same retainer as reliability and performance work, not a separate ticket-based support contract.

Question 17

How much does database optimization cost?

Accepted Answer

One-time diagnostic and migration work is priced after we understand the problem. Ongoing architecture, performance, and reliability work runs on a monthly retainer sized to your environment and coverage needs. Cost-optimization engagements are typically structured so the fixes help offset the cost of the engagement.

Question 18

How are database migrations priced?

Accepted Answer

Migrations are quoted after a scoping call once we understand your schema size, data volume, and downtime tolerance. Ongoing architecture, performance, and reliability work runs on the monthly retainer instead, since that work is open-ended by nature. We tell you which pricing model applies before quoting a number.

Question 19

Will I get measurable before/after numbers like the case studies?

Accepted Answer

Where the problem is metric-shaped, yes: a written diagnostic states the baseline and the target, and the fix is measured against it. Not every engagement produces a headline number this way, a clean migration cutover's success metric is zero data loss and minimal downtime, not a speed multiplier, but every engagement gets a written root cause and outcome either way.

Question 20

What are database consulting services?

Accepted Answer

Database consulting services cover expert review and hands-on work on the data layer a production application runs on: architecture and schema design, performance diagnosis, high availability and disaster recovery, migration, modernization, and infrastructure cost. The output is a written diagnosis and a fix, not a generic report. At DharmOps, the engineer who diagnoses the problem is the one who works on it, across PostgreSQL, MySQL, Oracle, SQL Server, MongoDB, and Redis.

Question 21

When should you hire a database consultant?

Accepted Answer

Hire a database consultant when the problem is specific and the cost of getting it wrong is high: an Oracle or SQL Server migration with a hard cutover date, a production database that fails under load, a failover that has never been tested, or a cloud database bill that keeps climbing. A consultant also fits teams with no in-house DBA who need senior judgment on a decision before it ships. At DharmOps, most engagements start with a diagnostic call and a written root cause.

Question 22

What are database migration services?

Accepted Answer

Database migration services cover moving a production database to a new engine, version, or platform: schema and procedure conversion, data transfer, application testing, cutover, and rollback planning. This includes Oracle to PostgreSQL, SQL Server to PostgreSQL, MySQL to PostgreSQL, and on-premises to AWS RDS or Aurora. At DharmOps, we use CDC (change data capture) to keep the source and target in sync, and keep the rollback path live until the cutover is verified.

Question 23

How long does a database migration take?

Accepted Answer

It depends on schema complexity, data volume, and how much downtime the business can accept. A small schema with standard types can move in weeks. An Oracle database with heavy PL/SQL, packages, and application coupling takes longer, because procedure conversion and application testing are the slow parts, not the data copy. At DharmOps, the timeline is set after a scoping call that reviews the schema, the data size, and the downtime window.

Question 24

What is zero-downtime database migration?

Accepted Answer

Zero-downtime database migration moves a live database to a new target while the application keeps serving traffic. The target is seeded from a snapshot, then kept current with change data capture until the two match, and traffic is switched in a short, rehearsed cutover. In practice, a switchover of seconds to a few minutes is the realistic target, and it depends on replication lag and connection handling. At DharmOps, we rehearse the cutover on a copy first and agree the rollback trigger before go-live.

Question 25

Why do companies migrate from Oracle to PostgreSQL?

Accepted Answer

The most common reasons are licensing cost at renewal, freedom from vendor lock-in, and access to PostgreSQL extensions such as pgvector for AI workloads. The main cost of the move is converting PL/SQL packages, Oracle-specific data types, and sequences, plus retesting every application query. At DharmOps, we assess conversion effort before quoting, so the business case compares the real migration effort against the recurring Oracle licence spend.

Question 26

What is database modernization?

Accepted Answer

Database modernization is upgrading a legacy database estate so it can support current workloads: moving off end-of-life versions, changing engines, adopting managed cloud services, and consolidating sprawling instances. It is not a rewrite of the application. At DharmOps, modernization is sequenced in stages, with each version upgrade or engine change tested against production-like data, so the upgrade does not become its own outage.

Question 27

How do you upgrade a production database without downtime?

Accepted Answer

The safest route for PostgreSQL is logical replication to a new-version instance: build the new cluster, replicate into it, verify the data, then switch application traffic over. An in-place upgrade with pg_upgrade is faster to run but needs a maintenance window. At DharmOps, we choose between the two based on database size and the outage the business can accept, and we test the upgrade on a restored copy first.

Question 28

What is the difference between database high availability and disaster recovery?

Accepted Answer

High availability keeps a database running through a local failure, such as a crashed node, using replication and automatic failover, typically within the same region. Disaster recovery restores service after a larger loss, such as a region outage or data corruption, using backups and a standby in another location. The two are measured by RTO (how long recovery takes) and RPO (how much data you can lose). At DharmOps, we set both targets with you, then test failover and restore against them.

Question 29

What are managed database services?

Accepted Answer

Managed database services are ongoing operational coverage of your production databases: monitoring, backups, patching, performance review, incident response, and capacity planning. This differs from a cloud vendor's managed service such as AWS RDS, which runs the infrastructure but does not tune your queries or review your schema. At DharmOps, managed coverage runs on a monthly retainer with prioritized response, and the same team handles performance and migration work.

Question 30

How do you choose a database consulting company?

Accepted Answer

Look for four things: depth on the specific engine you run, a habit of diagnosing before recommending a resize or a rewrite, a written root cause at the end of every engagement, and direct access to the engineer doing the work. Ask for a case study with a measured before and after. At DharmOps, our case studies state the baseline and the result, such as a reporting query cut from 4 minutes to 17 seconds on a 340GB PostgreSQL database.

Question 31

Do you offer PostgreSQL and SQL Server consulting?

Accepted Answer

Yes. PostgreSQL consulting covers query and index tuning, autovacuum and connection pooling, replication and failover, upgrades, and migration into PostgreSQL. SQL Server consulting covers execution plan analysis, indexing, Always On availability groups, and migration off SQL Server where a move to PostgreSQL makes sense. At DharmOps, both run under the same Database Engineering service, so a mixed environment gets one team instead of two vendors.

Situation	Likely Solution
A specific report or endpoint is slow and getting slower as data grows	Performance — query optimization, indexing, and connection tuning
An Oracle license renewal is coming up and the cost no longer makes sense	Migration — Oracle to PostgreSQL migration with a tested cutover
You need a tested failover and cross-region replication for an uptime SLA	Reliability — HA, replication, backup verification, and DR
RDS or Aurora spend is climbing and nobody's re-sized the instances	Cost — right-sizing, storage/IOPS audit, Reserved Instance strategy
Schema changes ship without review and one already broke production	Architecture — schema design and pre-deploy review
An acquisition or platform merge left you with a sprawl of databases	Modernization — consolidation and version upgrades

Metric	Before	After
Reporting query time (340GB PostgreSQL)	4 minutes	17 seconds
Financial reporting query (fintech)	45 seconds	4 seconds
Dashboard load time (B2B SaaS)	8 seconds	200 milliseconds
Downtime during the fix	n/a	Zero, across all three

Basis	DharmOps	Full-time in-house DBA	Generic dev/IT shop
Coverage	A team, not one person's vacation-limited hours	Business hours, one person, single point of failure	Ticket queue, generalist coverage
Specialization	Multi-engine depth: PostgreSQL, MySQL, Oracle, SQL Server, MongoDB, Redis	Usually deep on one or two engines	Broad but shallow across the stack
Cost structure	Scoped after diagnosis, one-time or retainer	Full salary and benefits year-round	Hourly or project rate regardless of fit
Response on incidents	Prioritized response on active engagements	Depends on one person's availability	Standard support SLA, not database-specific

Database Engineering for Teams Without a DBA

What Is Database Engineering?

Who Needs Database Engineering?

What Problems Trigger This Engagement?

Match Your Situation to the Fix

What DharmOps Builds

Architecture

Performance

Reliability

Modernization

Migration

Cost

Specific Use Cases

How the Engagement Works

Technology & Platforms

Before → After: Measured Outcomes

How This Differs From Alternatives

Frequently Asked Questions

Case Study

PostgreSQL 300GB Database: Query Timeouts Fixed — 14x Faster

Database Engineering Use Cases by Industry

Database Engineering for Healthcare

Database Engineering for Banking & Insurance

Database Engineering for FinTech

Database Engineering for SaaS & Software

Database Engineering for Retail & eCommerce

Database Engineering for Logistics

Data Infrastructure Engineering for 13 Industries

Tell Us the Problem. We'll Tell You Which Sub-Area It Is.

Stop Guessing Which of Six Services You Need