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Database management services that keep your data fast and safe. Database management services for PostgreSQL and MongoDB: query and index tuning, replication and failover, backups with tested restores, upgrades, monitoring.
Our database management services keep the PostgreSQL and MongoDB databases your product depends on fast, available and recoverable. That means finding and fixing the slow queries, setting up replication so one failed server is not an outage, taking backups we have actually restored, and planning version upgrades before support ends. We work on self-managed servers and on managed services such as Amazon RDS, Azure Database for PostgreSQL and MongoDB Atlas, and we write down everything we change.
Database problems we are usually brought in to fix. Pages got slow as data grew Queries that were instant with a few thousand rows now scan millions, and the fix so far has been a bigger server.
One server, no replica The database runs on a single machine. If the disk fails or the instance is lost, so is the product until someone rebuilds it.
Backups nobody has restored A cron job writes dump files somewhere, but nobody knows how long a restore takes or whether the files are complete.
Running a version near end of life The database is several major versions behind, upgrades feel risky, and security fixes will stop arriving soon.
What we take care of. Health check and baseline We review configuration, sizing, slow queries, index use, table and collection growth, and access, and record a baseline to measure changes against.
Query and index tuning We find the expensive queries with pg_stat_statements or the MongoDB profiler, read their plans with EXPLAIN or explain(), and fix indexes, queries or schema.
Configuration and connections Memory, autovacuum and checkpoint settings for PostgreSQL, WiredTiger cache and write concern for MongoDB, and PgBouncer where connection counts are the bottleneck.
Replication and failover PostgreSQL streaming replicas and MongoDB three-member replica sets, with a written and rehearsed procedure for promoting a replica when the primary fails.
Backups and point-in-time recovery pgBackRest with WAL archiving for PostgreSQL, Percona Backup for MongoDB or Atlas backups for MongoDB, plus logical dumps, copied off the server and restored on a schedule.
Upgrades and migrations Major version upgrades with pg_upgrade or logical replication, MongoDB feature compatibility steps, and moves between servers or into managed services.
Monitoring and alerts Replication lag, disk growth, connection counts, long-running queries, locks and backup age, with alerts that reach someone who can act.
Security and access Separate roles per application, least-privilege grants, TLS, network rules that limit who can connect, and removal of shared superuser logins.
Engagement options Database health check A short, fixed-scope review for teams who want to know where they stand before changing anything.
Configuration, sizing and access review Top slow queries with explained plans Backup and recovery assessment A written, prioritised action plan Tuning and setup project A fixed-scope project to fix performance, add replication and backups, or complete an upgrade, then hand it over.
Index, query and configuration changes Replica and failover setup Backups with a tested restore Runbooks and a hand-over session Managed database retainer A monthly retainer where we look after your databases alongside your developers.
Monitoring, alerts and incident response Scheduled restore tests and patching Query reviews as the product changes Coverage hours and response times agreed in the retainer How it works Scoping call We talk through which databases you run, where they are hosted, how big they are and what is hurting.
Read-only review With read access we collect statistics, slow query data and configuration, then send a written report with the order of work.
Change in steps Each change is tested on staging or a restored copy first, applied in an agreed window, and measured against the baseline.
Run and hand over On a retainer we keep watching and testing restores; on a project we hand over runbooks, dashboards and access.
Why Infigini We build on these databases Our own products and client systems run on PostgreSQL, MongoDB and Redis, so we tune them from the application side as well as the server side.
Fixes in the code, not just the server Many slow databases are caused by ORM patterns, N+1 queries or missing pagination. We can change the application code, not only add hardware.
Careful with production We start with read-only access, test changes on a copy of the data and keep a rollback plan for every change we make.
You own everything Credentials, backups, configuration and documentation live in your accounts. Nothing depends on access only we hold.
Technologies: PostgreSQL, MongoDB, Redis, PgBouncer, pgBackRest, pg_stat_statements, Amazon RDS, Azure Database for PostgreSQL, MongoDB Atlas, Docker, Linux, Tailscale
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Frequently asked questions What do database management services include? They cover keeping a database fast, available and recoverable: performance tuning, index and query reviews, replication and failover, backups with tested restores, version upgrades, monitoring, and user and access management. With us, the scope is listed database by database before work starts, so you know exactly which systems we look after and what we do for each.
Which databases do you manage? Mainly PostgreSQL and MongoDB, along with Redis used as a cache or queue. We work with self-managed installations on Linux servers and in Docker, and with managed services such as Amazon RDS, Azure Database for PostgreSQL and MongoDB Atlas. If you run something else alongside them, tell us and we will say plainly whether it is a good fit.
Our database is slow. Do we just need a bigger server? Usually not. In most slow databases, a handful of queries cause most of the load, often because of a missing or wrong index, a query that fetches far more than it needs, or bloat from vacuum falling behind. We measure first with pg_stat_statements or the MongoDB profiler, fix the causes and only then decide whether the server is really too small.
If we already use RDS or Atlas, do we still need a DBA service? A managed service handles hardware, patching and automated backups, which is valuable. It does not design your indexes, rewrite slow queries, choose parameters for your workload, plan major version upgrades or test that a restore gives you the data you expect. Those are the parts we take on, working inside your cloud account.
Can you upgrade PostgreSQL or MongoDB without long downtime? Often, yes. For PostgreSQL we use pg_upgrade with hard links for short maintenance windows, or logical replication to a new server when downtime must be close to zero. MongoDB replica sets are upgraded one member at a time. Every upgrade is rehearsed on a restored copy first, so we know the timings and application issues before production.
How do you keep our data secure while you work on it? We ask for the least access the task needs, starting with read-only roles for the review. Access goes through named accounts, over TLS or a private network such as Tailscale, and is removed when the work ends. We avoid copying production data to our machines; when a copy is needed for testing, it stays in your infrastructure.
How are database management services priced? A health check and a tuning or upgrade project are quoted at a fixed price once we know the number of databases, their size and what you want changed. A managed retainer is a fixed monthly fee based on how many databases we look after, how often restores are tested and the support hours you need. Cloud and hosting costs are billed to you directly by your provider.
What happens if the database goes down? On a retainer, alerts reach us and you can contact us through the agreed channel. We follow the runbook: find the cause, fail over to a replica or restore from the right point, check the data with you and bring the application back. Response times and coverage hours are agreed in the retainer. Afterwards we write up what happened and what to change.
Further reading MongoDB production checklist: replica sets, indexes and backups
PostgreSQL VACUUM and table bloat: find it, fix it, prevent it
PostgreSQL backup strategies: pg_dump, pg_basebackup and PITR
Backups that actually restore: Postgres and MongoDB
Postgres indexing mistakes we keep finding in production
Infigini IT Services · 11 Kanwali Road, Dehradun 248001, India · info@infigini.com · +91 95684 87789