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Managed database

PostgreSQL operated as a product

Assistance runs PostgreSQL for teams that need reliable relational data without owning every DBA task: provisioning, patching, monitoring, backups, recovery, and performance review are included in the managed scope.

High availability options. PITR targets scoped per plan. 24/7 critical response available for covered production services.

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Operational ownership

We own PostgreSQL runtime operations inside the agreed boundary: configuration, backups, monitoring, maintenance, and incident triage.

Recovery-first design

Backup retention, point-in-time recovery, restore testing, and failover procedures are designed before production cutover.

Performance care

Query visibility, indexing review, capacity planning, and connection pooling keep PostgreSQL healthy as workload grows.

Service playbook

From problem to operating evidence

Main content is structured like a case study: context first, scoped work next, then the operating changes and evidence a team can use after handoff.

Service briefBest-fit use casesWhat Assistance operatesOwnership boundaryDeployment options

Managed PostgreSQL is for teams that want PostgreSQL’s power without making database operations a side job for application engineers. Assistance operates the database platform while your team keeps ownership of schema design, application behavior, and product data decisions.

Case-study lens

Scoped

Problem, responsibility, and handoff boundaries before implementation.

Evidence

Dashboards, runbooks, reviews, and operating records over borrowed logos.

Outcomes

Conservative summaries focused on observable operational improvement.

EvidenceSection 01

Best-fit use cases

Runbooks, dashboards, reviews, and handoff material make the work auditable.

Use caseWhy PostgreSQL fits
SaaS application databaseStrong consistency, transactions, JSON support, extensions, and mature operational tooling
Internal business systemsReliable relational model, reporting queries, row-level security options, and broad ecosystem support
Analytics-adjacent workloadsMaterialized views, partitioning, extensions, and predictable SQL access patterns
Geospatial applicationsPostGIS support for maps, routing, proximity search, and spatial analytics
Migration from self-hosted PostgresClear path to managed backups, monitoring, patching, and documented recovery
Operating modelSection 02

What Assistance operates

Responsibilities, response paths, and technical changes are made explicit before work starts.

AreaIncluded managed service responsibility
ProvisioningPostgreSQL cluster setup, sizing recommendation, secure network placement, parameter baseline, and connection details
ReliabilityHA topology where required, failover procedure, backup schedules, retention policy, restore validation, and runbooks
MaintenanceMinor updates, patch planning, version lifecycle guidance, maintenance windows, and rollback planning
PerformanceQuery visibility, slow-query review, index recommendations, vacuum/autovacuum review, connection pooling with PgBouncer when appropriate
SecurityTLS, encryption options, role model recommendations, audit logging options, least-privilege access, and credential rotation support
ObservabilityDashboards, alerts, replication lag monitoring, storage growth, connection usage, and backup status
SupportScoped support channel, severity definitions, escalation path, and post-incident notes for platform issues

Assistance operates the PostgreSQL service. Your team owns schema changes, ORM behavior, query patterns introduced by application releases, and business rules around data correctness. We can advise on those areas, but they remain application ownership unless explicitly contracted.

OutcomeSection 03

Ownership boundary

Expected changes are framed as practical operating improvements, not unsupported guarantees.

ResponsibilityAssistanceCustomer team
Database runtimeInstall, configure, monitor, patch, back up, restore, and operate PostgreSQLConsume the database safely from applications
Schema and migrationsReview risky patterns when scoped, advise on rollout strategyOwn DDL, migration scripts, data validation, rollback compatibility
Credentials and usersProvide access model, service roles, rotation guidanceApprove users, manage application secret consumption, maintain internal access reviews
AvailabilityOperate HA/failover design inside agreed topologyDesign application retry behavior, connection handling, and deployment timing
Data protectionImplement agreed backups and restore processDefine retention, legal requirements, classification, and application-level recovery acceptance
EvidenceSection 04

Deployment options

Runbooks, dashboards, reviews, and handoff material make the work auditable.

OptionWhen to choose it
Assistance-operated physical serversDevelopment, test, CI, staging, or steady internal workloads that benefit from flat-rate dedicated hardware
PostgreSQL in your cloud accountProduction workloads needing proximity to application services, cloud networking, compliance controls, or regional placement
HybridDevelopment and CI databases on Assistance infrastructure with production PostgreSQL in your cloud account
Migration projectMove from self-hosted PostgreSQL, RDS, Cloud SQL, Azure Database, or another provider into the selected managed model
Operating modelSection 05

Reliability and recovery model

Responsibilities, response paths, and technical changes are made explicit before work starts.

The production design is based on measurable recovery targets rather than vague promises.

TopicManaged PostgreSQL approach
Availability targetDefined per deployment tier, topology, and operational control boundary
BackupsAutomated backups with retention and point-in-time recovery targets scoped during onboarding
Restore validationRestore tests or evidence checks scheduled for production services where recovery assurance is required
FailoverDocumented promotion and routing behavior for HA deployments
Incident responseSeverity-based response targets agreed in the support plan; 24/7 critical response available for covered services
OutcomeSection 06

Onboarding

Expected changes are framed as practical operating improvements, not unsupported guarantees.

Assessment step

1. Database assessment

We review current database size, traffic, extensions, query profile, backup posture, downtime tolerance, compliance requirements, and deployment target.

What changes

2. Target architecture

We define topology, instance sizing, storage, HA, backups, PITR, retention, connection pooling, monitoring, maintenance windows, and access model.

What changes

3. Migration or fresh provisioning

Assistance provisions the service and either migrates existing data or prepares a fresh database for application onboarding. Larger migrations use staged replication or rehearsed cutover plans.

What changes

4. Go-live and operations

After cutover, we monitor service health, backup status, storage growth, query behavior, and replication/failover indicators. Runbooks and escalation details are handed over.

ScopeSection 07

PostgreSQL capabilities we support

The work is broken into visible capabilities, acceptance points, and handoff artifacts.

  • PostgreSQL 16, 15, 14, and supported lifecycle versions by agreement
  • PgBouncer connection pooling
  • Common extensions such as PostGIS, pg_stat_statements, pgcrypto, uuid-ossp, hstore, pg_trgm, and TimescaleDB where licensed and appropriate
  • Read replicas for reporting or read-heavy workloads
  • Partitioning and retention strategies for large tables
  • Logical replication for migration and integration scenarios
ScopeSection 08

Not included by default

The work is broken into visible capabilities, acceptance points, and handoff artifacts.

  • Rewriting application queries or ORM usage
  • Owning product data correctness rules
  • Guaranteeing performance for unreviewed application releases
  • Unlimited data retention or backup storage outside the agreed plan
  • Compliance certification claims that require separate audit scope
Next stepSection 09

Related products

Decision points and common questions are made explicit so follow-up work is scoped cleanly.

Next stepSection 10

Getting started

Decision points and common questions are made explicit so follow-up work is scoped cleanly.

Request a database assessment. We will review your workload, define the operating boundary, and propose a PostgreSQL topology with backup, recovery, support, and migration details. Request database assessment →

Next stepSection 11

Frequently asked questions

Decision points and common questions are made explicit so follow-up work is scoped cleanly.

Can Assistance manage PostgreSQL in our existing cloud account? Yes. We can operate PostgreSQL in your AWS, Azure, GCP, Oracle Cloud, or private environment when access, networking, and responsibilities are clearly scoped.

Do you support zero-downtime migration? For suitable workloads, yes. We assess size, write rate, extension compatibility, and application cutover requirements before recommending dump/restore, logical replication, or phased migration.

What availability do you guarantee? Availability is scoped to the selected deployment tier and architecture. We define the measurement window, exclusions, response model, and recovery targets before production go-live.

Can you help with slow queries? Yes. Performance review is included for platform health and can include slow-query analysis, indexing recommendations, connection pooling, and capacity tuning. Application rewrites are scoped separately.

Who controls database users and production access? Your organization remains the approval authority. Assistance implements the access model, service accounts, and rotation procedure inside the managed boundary.

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Pricing

Flexible scopes available. if you need custom terms or bundled service pricing.

Small

€400€/month

Single instance for development or low-traffic workloads.

  • Single PostgreSQL instance
  • Daily automated backups
  • Monitoring & alerting
  • SSL/TLS encryption
  • High availability
  • Read replicas
Most popular

Medium

€800€/month

Production workloads with increased resources and retention.

  • Enhanced resources
  • Daily backups, 30-day retention
  • Full monitoring stack
  • SSL/TLS encryption
  • High availability
  • Read replicas available

Large (HA)

€1.600€/month

High-availability setup with automatic failover.

  • HA cluster with automatic failover
  • Continuous backups, PITR
  • Advanced monitoring & alerting
  • SSL/TLS + encryption at rest
  • High availability
  • Multiple read replicas

Pricing calculator

Select the services you need to estimate your monthly cost.

Databases

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Observability & Ops

from 250 €/mo
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Estimated monthly total

0 €/mo

Does not include server infrastructure costs (compute, storage, egress).

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