PostgreSQL Installation, Maintenance and Management Service

PostgreSQL is a relational database management system with an exceptionally wide field of use — from enterprise applications to financial systems, public sector projects to SaaS platforms, microservice architectures to artificial intelligence and data analytics infrastructures — thanks to its performance, reliability, data integrity, extensibility and open source architecture.

However, PostgreSQL being installed and running does not mean the database infrastructure is being managed correctly.

PostgreSQL systems in production must be;

• deployed on the right architecture,
• configured securely,
• monitored continuously for performance,
• backed up,
• run with high availability,
• managed for capacity,
• kept current on versions,
• prepared for disaster scenarios

at all times.

With the SecureSys PostgreSQL Installation, Maintenance and Management Service, we deliver end-to-end support from the design of PostgreSQL infrastructure through to production operation.

The service addresses the;

PostgreSQL Installation → Configuration → Security Hardening → Performance Tuning → High Availability → Backup → Monitoring → Maintenance → Upgrade → Disaster Recovery

processes together.

The goal is not merely to install PostgreSQL; it is to build a secure, highly available, performant and sustainable PostgreSQL infrastructure capable of carrying the organization's critical applications.

What Is PostgreSQL?

PostgreSQL is an advanced open source Object-Relational Database Management System – ORDBMS platform.

Alongside strong support for the SQL standard, it offers advanced capabilities such as;

• transaction,
• ACID,
• JSON/JSONB,
• stored procedure,
• trigger,
• partitioning,
• replication,
• indexing,
• full-text search,
• extensibility

and more.

PostgreSQL is a particularly strong database platform for enterprise systems requiring high data integrity and complex queries.

Why PostgreSQL?

One of the main reasons organizations choose PostgreSQL is that its open source nature combines with strong enterprise capabilities.

PostgreSQL is widely used in modern application architectures thanks to its;

• licence independence,
• broad community support,
• advanced SQL capabilities,
• high data integrity,
• extensible architecture,
• cloud compatibility,
• container and Kubernetes support

characteristics.

PostgreSQL can be positioned not only as a classic application database but also as the data layer of modern Cloud Native and AI infrastructures.

SecureSys PostgreSQL Services

SecureSys does not treat PostgreSQL services as installation or break-fix support alone.

The database lifecycle can be managed as a whole.

The services can cover the;

• PostgreSQL Installation,
• PostgreSQL Configuration,
• PostgreSQL Maintenance,
• PostgreSQL Management,
• PostgreSQL DBA Service,
• PostgreSQL Performance Optimization,
• PostgreSQL Security Hardening,
• PostgreSQL Monitoring,
• PostgreSQL Backup,
• PostgreSQL Replication,
• PostgreSQL High Availability,
• PostgreSQL Cluster,
• PostgreSQL Migration,
• PostgreSQL Upgrade,
• PostgreSQL Disaster Recovery

headings.

PostgreSQL Installation Service

Installing PostgreSQL is not simply a matter of loading the package onto an operating system.

Before a production PostgreSQL installation;

• application type,
• number of users,
• transaction intensity,
• data volume,
• growth expectations,
• availability requirements,
• RPO/RTO targets,
• security requirements

must be analyzed.

The PostgreSQL architecture is built on the basis of that information.

PostgreSQL Architecture Design

The right PostgreSQL architecture is critical to application performance and continuity.

The architecture;

Application

↓

Load Balancer / Connection Pooler

↓

PostgreSQL Primary

↓

Standby / Replica

↓

Backup Infrastructure

↓

Disaster Recovery

can be designed in this shape.

More advanced cluster structures can be built according to need.

Single PostgreSQL Server

For non-critical or small systems, a single PostgreSQL server can be sufficient.

However, in this architecture losing the server causes a service outage.

For this reason, High Availability must be considered for critical production systems.

PostgreSQL High Availability

PostgreSQL High Availability aims to keep the database service running through a server or service failure.

The architecture;

Primary PostgreSQL

↓

Streaming Replication

↓

Standby PostgreSQL

↓

Automatic Failover

can be deployed in this shape.

PostgreSQL HA Cluster

A PostgreSQL HA Cluster architecture can be built for enterprise systems.

Example structure:

Application

↓

HAProxy / PgBouncer

↓

PostgreSQL Primary

↙ ↓ ↘

Replica-1 / Replica-2 / DR Replica

↓

Backup Repository

This structure delivers high availability and operational continuity.

PostgreSQL Replication

Replication transfers PostgreSQL data to other PostgreSQL instances.

Its purpose can be;

• High Availability,
• Disaster Recovery,
• Read Scaling,
• Reporting

and similar goals.

Streaming Replication

With PostgreSQL Streaming Replication, WAL records are transferred from the Primary server to the Standby server.

This structure is widely used in highly available PostgreSQL clusters.

Synchronous Replication

In Synchronous Replication, completion of a transaction can depend on defined standby servers receiving the WAL record.

It is worth considering in systems where data loss must be minimal.

However, the latency impact must be analyzed separately.

Asynchronous Replication

Asynchronous Replication can bring a performance advantage, but there is a risk of losing transactions that have not yet reached the Standby when the Primary is lost.

Logical Replication

Logical Replication can transfer specific databases or tables to other PostgreSQL systems.

It can be used particularly in;

• migration,
• version transition,
• reporting,
• selective replication

scenarios.

PostgreSQL Automatic Failover

If the Primary PostgreSQL server becomes inoperable, the Standby server can be brought in as Primary automatically.

However, because a failover mechanism working incorrectly can create serious data inconsistency, the architecture must be designed with care.

Patroni PostgreSQL

Patroni is one of the widely used solutions for managing PostgreSQL High Availability clusters.

Patroni can be used in;

• leader election,
• health monitoring,
• failover,
• cluster management

processes.

etcd and PostgreSQL

In HA solutions such as Patroni, etcd can be used for distributed consensus.

Consul and PostgreSQL

In some PostgreSQL HA architectures, Consul can be considered for distributed configuration and leader election.

HAProxy PostgreSQL

HAProxy can be used to direct application traffic to the active PostgreSQL node.

PgBouncer

PgBouncer is a lightweight connection pooling solution for PostgreSQL.

In systems with a large number of application connections, it helps reduce the connection load on PostgreSQL.

PostgreSQL Connection Pooling

PostgreSQL consumes system resources for every connection.

Thousands of concurrent connections opened directly against the database create performance problems.

For this reason:

Application → Connection Pool → PostgreSQL

architecture can be used.

PostgreSQL Load Balancing

Read queries can be distributed across replica systems.

For example;

Write → Primary

Read → Replica

this approach can be used.

PostgreSQL Read Replica

A Read Replica separates loads such as;

• reporting,
• dashboards,
• BI,
• read-heavy applications

from the Primary system.

PostgreSQL Performance Tuning

PostgreSQL performance does not depend on server CPU and RAM capacity alone.

Database configuration, SQL queries, index structure and the application connection model must be evaluated together.

PostgreSQL Performance Analysis

Performance analysis can examine the;

• CPU,
• memory,
• disk I/O,
• connection,
• lock,
• wait event,
• query latency,
• cache hit ratio,
• transaction

figures.

Slow Query Analysis

Long-running SQL queries can seriously affect application performance.

Slow Query Analysis identifies the problematic queries.

pg_stat_statements

pg_stat_statements enables analysis of SQL query performance statistics on PostgreSQL.

This makes it possible to identify;

• the most frequently executed queries,
• queries with high total duration,
• queries with high average execution time

across the workload.

EXPLAIN and EXPLAIN ANALYZE

How the PostgreSQL Query Planner executes a query can be analyzed with EXPLAIN.

EXPLAIN ANALYZE can also show the actual execution results.

PostgreSQL Query Optimization

In query optimization, the;

• execution plan,
• index,
• join,
• filter,
• statistics,
• partition

structures are evaluated together.

PostgreSQL Index Management

The right index can improve query performance considerably.

However, unnecessary indexes can degrade;

• storage,
• INSERT,
• UPDATE,
• DELETE

performance.

For this reason, index usage must be analyzed.

B-Tree Index

This is the most widely used index type in PostgreSQL.

It can be used for equality and range queries.

GIN Index

GIN can deliver strong performance particularly in;

• JSONB,
• array,
• full-text search

scenarios.

GiST Index

GiST can be used with specialized data types and advanced search scenarios.

BRIN Index

On very large and physically ordered data sets, it can bring an advantage at low storage cost.

PostgreSQL JSONB

Thanks to PostgreSQL JSONB support, relational and document-oriented data models can be used within the same database.

This capability brings a significant advantage in modern application development projects.

PostgreSQL and Microservice Architecture

In microservice applications, giving each service its own independent database or schema is worth considering.

Example:

Order Service → PostgreSQL

Customer Service → PostgreSQL

Billing Service → PostgreSQL

This approach strengthens service independence.

PostgreSQL and Kubernetes

PostgreSQL can run as a stateful workload in a Kubernetes environment.

However, managing stateful database systems on Kubernetes requires far more operational expertise than stateless applications.

PostgreSQL Operator

The PostgreSQL cluster lifecycle on Kubernetes can be managed with an Operator.

An Operator can automate the;

• provisioning,
• replication,
• failover,
• backup,
• upgrade

processes.

Cloud Native PostgreSQL

Cloud Native PostgreSQL architectures can be designed alongside container, Kubernetes and automated operations approaches.

PostgreSQL as a Service

PostgreSQL can be offered as a service through the SecureSys DBaaS infrastructure.

Users can request a ready PostgreSQL instance without dealing with infrastructure detail.

PostgreSQL DBaaS

The DBaaS model can standardize the;

Request → Provisioning → PostgreSQL → Backup → Monitoring → Maintenance

processes.

PostgreSQL Security

Database systems hold an organization's most critical information assets.

PostgreSQL security must be addressed at the;

• authentication,
• authorization,
• network security,
• encryption,
• logging,
• patch management

layers.

PostgreSQL Security Hardening

Within SecureSys PostgreSQL Security Hardening, unnecessary access and default configurations can be analyzed.

PostgreSQL Authentication

PostgreSQL user authentication policies must be configured with secure methods.

pg_hba.conf Security

pg_hba.conf is one of the critical files determining which users may connect to PostgreSQL from which network and with which authentication method.

Broad network access must be restricted.

PostgreSQL Role Management

Users and applications can be managed with separate PostgreSQL roles.

Least Privilege

Application accounts must not be granted unnecessary;

• SUPERUSER,
• CREATEDB,
• CREATEROLE

privileges.

PostgreSQL Privileged Account Management

The use of highly privileged database accounts can be controlled centrally.

Integration with PAM solutions can be considered.

PostgreSQL Network Security

Database servers being reachable directly from the internet is not advisable.

PostgreSQL must be reachable only from the necessary application and management networks.

Database Network Segmentation

Database systems can be placed in a separate network segment.

For example:

Internet

↓

WAF / Firewall

↓

Application Network

↓

Database Firewall Policy

↓

PostgreSQL Network

This structure reduces the database's attack surface.

Red Network PostgreSQL

In defence, public sector and critical infrastructure projects, PostgreSQL can be placed inside a fully isolated Red Network.

Red Network PostgreSQL infrastructure can be separated physically or logically from external networks and internet access.

Green Network and PostgreSQL

A direct database connection must not be opened between the Green Network, which has internet access or a lower trust level, and the critical Red Network.

Necessary data transfers can be designed through;

• an API Gateway,
• a controlled service,
• a firewall,
• a data transfer system,
• one-way transfer mechanisms

instead.

Red Network – Green Network Isolation

Example architecture:

Green Network

↓

Security Gateway

↓

Controlled API / Transfer Zone

↓

Security Policy

↓

Red Network

↓

PostgreSQL Cluster

This structure is worth considering particularly in organizations processing sensitive data.

Air-Gapped PostgreSQL

In environments closed off from the internet entirely, PostgreSQL can be managed with;

• an offline repository,
• controlled patching,
• local backup,
• internal monitoring

systems.

PostgreSQL Encryption

Database communication can be encrypted with TLS.

Encryption in Transit

The connection between the application and PostgreSQL can run over TLS.

Encryption at Rest

Encryption can be applied at the disk or storage layer.

PostgreSQL SSL/TLS

Configuring SSL/TLS for client-server communication helps prevent sensitive data travelling across the network in the clear.

PostgreSQL Audit Logging

Critical database activity must be logged.

pgAudit

pgAudit can be used for detailed audit logging on PostgreSQL.

For example;

• login,
• DDL,
• DML,
• role change

operations can be recorded.

Database Activity Monitoring

PostgreSQL systems can be monitored with DAM – Database Activity Monitoring platforms.

This allows user and application activity to be analyzed centrally.

PostgreSQL SIEM Integration

Database logs can be sent to the SIEM platform.

On the SIEM, events such as;

• failed login,
• privilege escalation,
• unusual query,
• configuration change

can be correlated.

24/7 PostgreSQL SOC Monitoring

The SecureSys SOC can analyze critical PostgreSQL security events 24/7 alongside network, identity and application events.

PostgreSQL Backup

Backup is one of the most critical components of running PostgreSQL.

Taking a backup is not sufficient on its own.

It must be verified that the backup can actually be restored.

PostgreSQL Full Backup

A full backup of the entire PostgreSQL cluster or database can be taken at defined intervals.

PostgreSQL Incremental Backup

Depending on the backup technology in use, change-based backup strategies can be applied.

WAL Archiving

Archiving Write-Ahead Log records enables Point-in-Time Recovery.

PostgreSQL Point-in-Time Recovery

With PITR, a database can be returned to a specific date and time.

For example, in the case of accidental data deletion:

Backup + WAL → Database State Before 14:32

can be recovered.

PostgreSQL Backup Retention

The backup retention policy can be defined as;

• daily,
• weekly,
• monthly,
• yearly

tiers.

PostgreSQL Cold Backup

Where regulation or long-term archive requirements apply, PostgreSQL backups can be held in a Cold Backup environment.

Immutable Backup

Against ransomware risk, storing backup data in an unalterable form is worth considering.

Offsite Backup

If the primary data center is lost, having the backup in the same location is not sufficient.

Backups can be transferred to a second location.

PostgreSQL Backup Encryption

Backup files can be stored encrypted.

PostgreSQL Backup Monitoring

Whether backup jobs succeed can be monitored centrally.

Restore Test

The real success of a backup strategy is measured by a restore test.

PostgreSQL restore exercises can be run in a test environment at defined intervals.

PostgreSQL Disaster Recovery

Critical PostgreSQL systems can be protected with DR infrastructure in a second data center.

PostgreSQL DR Architecture

Example:

Primary Data Center

↓

PostgreSQL Primary + Replica

↓

Encrypted Replication / Backup

↓

Disaster Recovery Center

↓

DR PostgreSQL

PostgreSQL RPO

Recovery Point Objective defines the acceptable amount of data loss.

For example:

RPO = 5 minutes

means data loss of up to the last 5 minutes is acceptable.

PostgreSQL RTO

Recovery Time Objective defines how quickly the service must be running again.

DR Test

Building a Disaster Recovery Center is not sufficient on its own.

Regular DR tests must be carried out.

PostgreSQL Monitoring

Production PostgreSQL systems must be monitored 24/7.

PostgreSQL Health Monitoring

Monitoring can track;

• server availability,
• connection,
• CPU,
• memory,
• storage,
• replication,
• transaction,
• lock,
• backup

figures.

PostgreSQL Replication Lag

How far a replica lags behind the primary must be tracked.

High replication lag creates DR and HA risk.

PostgreSQL Connection Monitoring

Active and waiting connection counts can be monitored.

PostgreSQL Lock Monitoring

Long-running transactions can block other operations.

Locks and blocking sessions must be analyzed.

Deadlock Monitoring

Deadlock situations where multiple transactions wait on one another can be tracked.

PostgreSQL Disk Monitoring

Database storage filling up can cause a service outage.

Disk growth and capacity trends must be monitored.

Capacity Planning

Based on the current growth rate, the future;

• CPU,
• RAM,
• storage,
• IOPS

capacity required can be projected.

PostgreSQL Vacuum

Because of the PostgreSQL MVCC architecture, old row versions must be cleaned up.

VACUUM processes working correctly is critical to database health.

Autovacuum

Autovacuum is an important component of PostgreSQL maintenance.

Incorrectly configured autovacuum can lead to database bloat and performance problems.

PostgreSQL Bloat

Heavy UPDATE and DELETE activity can create table and index bloat.

Bloat analysis and the necessary maintenance work can be carried out.

PostgreSQL Analyze

For the Query Planner to build a correct execution plan, table statistics must be current.

ANALYZE keeps those statistics up to date.

PostgreSQL Maintenance

Periodic PostgreSQL maintenance can carry out;

• vacuum,
• analyze,
• index,
• log,
• backup,
• replication,
• capacity

checks.

PostgreSQL Patch Management

PostgreSQL minor releases and operating system security updates must be applied in a controlled way.

PostgreSQL Version Upgrade

Running older PostgreSQL versions creates security and support risk.

Major Version Upgrade

Before a major version transition;

• extension compatibility,
• application compatibility,
• backup,
• rollback,
• performance

tests must be carried out.

pg_upgrade

In suitable scenarios, pg_upgrade can be used for a major PostgreSQL version upgrade.

PostgreSQL Blue-Green Migration

In critical systems, a new PostgreSQL environment can be prepared in parallel.

Old PostgreSQL → Replication → New PostgreSQL → Validation → Cutover

this approach reduces downtime risk.

PostgreSQL Migration

SecureSys can support migration projects from other database platforms to PostgreSQL.

Oracle to PostgreSQL Migration

In a migration from Oracle to PostgreSQL, the;

• schema,
• data type,
• procedure,
• sequence,
• application SQL

compatibility must be analyzed.

MSSQL to PostgreSQL Migration

In migrations from Microsoft SQL Server to PostgreSQL, database objects and application queries must be evaluated.

MySQL to PostgreSQL Migration

Data and application migration projects from MySQL systems to PostgreSQL can be carried out.

PostgreSQL to PostgreSQL Migration

Existing PostgreSQL systems can be moved to a;

• new server,
• new data center,
• cloud,
• Kubernetes

environment.

Zero-Downtime PostgreSQL Migration

In suitable architectures, downtime can be reduced to a minimum using logical replication.

PostgreSQL Health Check

An overall health analysis of existing PostgreSQL environments can be carried out.

The Health Check examines the;

• configuration,
• security,
• performance,
• replication,
• backup,
• maintenance,
• capacity

areas.

PostgreSQL Configuration Review

postgresql.conf and other critical configurations are analyzed against system capacity.

shared_buffers

This is one of the key parameters governing PostgreSQL memory use.

No single standard value is correct for every system.

work_mem

It affects the amount of memory available for operations such as sorting and hashing.

Very high values can drive up total memory consumption across concurrent queries.

maintenance_work_mem

It applies to maintenance operations such as VACUUM and index creation.

effective_cache_size

It helps the Query Planner estimate the system's cache capacity.

max_connections

An unnecessarily high connection count can drive up PostgreSQL memory consumption.

It must be evaluated together with connection pooling.

Checkpoint Management

Checkpoint behavior can affect I/O performance.

WAL Management

The volume of WAL produced affects the;

• replication,
• backup,
• disk,
• recovery

processes.

Long Running Transaction

Transactions left open for long periods have a negative effect on VACUUM and database bloat.

Idle in Transaction

Applications opening a transaction and then waiting a long time without doing work causes unnecessary consumption of database resources.

PostgreSQL Partitioning

Very large tables can be split into partitions by date or other criteria.

Range Partitioning

For example, a log table can be split monthly.

List Partitioning

Partitions can be created against specific category or tenant values.

Hash Partitioning

Data can be distributed across partitions through a hash function.

PostgreSQL Multi-Tenant Architecture

In SaaS applications, the;

• shared database/shared schema,
• shared database/separate schema,
• separate database

models can be evaluated.

Tenant Isolation

Separating customer data securely from one another matters particularly in SaaS systems.

Row Level Security

With PostgreSQL Row Level Security, user or tenant-based access policies can be applied to rows within the same table.

PostgreSQL Full Text Search

With its built-in full-text search capabilities, PostgreSQL can reduce the need for a separate search engine in certain applications.

PostgreSQL Extension Management

Thanks to its extensible architecture, PostgreSQL supports a wide range of extensions.

However, in production systems, extensions must be checked for security, support and version compatibility.

PostGIS

In applications processing geographic data, PostGIS turns PostgreSQL into an advanced spatial database.

pgvector

In modern AI and RAG projects, pgvector can be used to store vector data on PostgreSQL.

PostgreSQL and Artificial Intelligence

PostgreSQL is no longer merely a classic transactional database.

It can also serve as the data layer in LLM, RAG and AI applications.

PostgreSQL pgvector

Embeddings can be stored inside PostgreSQL with pgvector.

Example architecture:

Document

↓

Embedding Model

↓

pgvector

↓

Semantic Search

↓

RAG

↓

LLM

This structure gives organizations already running PostgreSQL a rapid start on AI projects.

PostgreSQL Vector Database

At certain scales and use cases, PostgreSQL plus pgvector can be an alternative to a separate Vector Database platform.

However, data volume, query pattern and latency requirements must be evaluated.

PostgreSQL and RAG

In SecureSys RAG & Enterprise Knowledge Assistant solutions, PostgreSQL can serve as the structured data or vector storage layer.

PostgreSQL and AI Agents

AI Agents can reach PostgreSQL data in a controlled way.

However, an agent must not be granted broad database privileges directly.

The recommended structure:

AI Agent

↓

Data API / Query Guard

↓

Read-Only Database Role

↓

PostgreSQL

Text-to-SQL and PostgreSQL

An LLM can convert a natural language query into a PostgreSQL SQL query.

For example:

“Show total sales over the last 30 days.”

↓

SELECT SUM(total_amount)

FROM sales

WHERE created_at >= CURRENT_DATE - INTERVAL '30 days';

However, SQL validation and permission checks must be applied in production Text-to-SQL systems.

PostgreSQL DevOps

Database changes can be managed under version control within the DevOps pipeline.

Database Migration as Code

Schema changes can be applied in a controlled way through migration scripts.

PostgreSQL CI/CD

Database schema migration processes can be integrated into the CI/CD pipeline during application deployment.

PostgreSQL DevSecOps

Database script and configuration changes can be passed through security controls.

PostgreSQL with Infrastructure as Code

In suitable environments, PostgreSQL infrastructure can be provisioned with an Infrastructure as Code approach.

PostgreSQL Automation

Repetitive;

• provisioning,
• backup,
• monitoring,
• maintenance

operations can be automated.

PostgreSQL DBA Service

Building a full-time PostgreSQL DBA team may not be economical for every organization.

SecureSys can support database operations with a managed PostgreSQL DBA service.

Remote DBA

Within a remote PostgreSQL DBA service, the;

• health check,
• performance,
• backup,
• replication,
• troubleshooting

processes can be managed.

PostgreSQL Managed Service

With a Managed PostgreSQL service, the database infrastructure can be run continuously.

24/7 PostgreSQL Support

A 24/7 incident support model can be established for critical production database systems.

PostgreSQL Incident Management

In the event of a database outage, the;

Alert → DBA Analysis → Root Cause → Recovery → Validation → Incident Report

process can be applied.

Root Cause Analysis

For recurring PostgreSQL problems, the underlying cause must be analyzed rather than simply restarting the service.

PostgreSQL SLA

Within the managed service;

• response time,
• service window,
• severity,
• escalation

SLA values can be defined.

PostgreSQL Reporting

Periodic service reports can present the;

• availability,
• capacity,
• backup,
• incident,
• performance,
• security

position.

PostgreSQL KPI

Example PostgreSQL KPIs:

• Database Availability
• Query Latency
• Backup Success Rate
• Replication Lag
• Storage Growth
• Connection Utilization
• Incident Count
• Recovery Time

PostgreSQL Business Continuity

Database continuity is delivered by the;

HA + Backup + DR + Monitoring + Operational Process

components working together.

Replication alone is not a substitute for backup.

Backup alone does not deliver High Availability.

The 3-2-1 Backup Approach for PostgreSQL

In critical systems, data loss risk can be reduced by using multiple backup copies across different locations.

PostgreSQL Cyber Resilience

In modern database management, it is not only availability that matters but also Cyber Resilience.

In a ransomware attack or a privileged account compromise, production and online backups can be damaged at the same time.

For this reason, the;

Production → Backup → Immutable Copy → Offsite / DR

architecture is worth considering.

PostgreSQL and ISO/IEC 27001

Running PostgreSQL can support the ISO/IEC 27001 information security approach through its;

• access control,
• logging,
• backup,
• change management,
• vulnerability management,
• incident management

processes.

PostgreSQL and KVKK

In PostgreSQL systems holding personal data, the;

• least privilege,
• access logging,
• encryption,
• backup security,
• data retention

controls must be evaluated.

PostgreSQL and GDPR

For personal data within GDPR scope, database access, the data lifecycle and audit processes all matter.

PostgreSQL and PCI DSS

In applications processing card data, database security must be addressed alongside PCI DSS requirements.

PostgreSQL Inventory Management

For PostgreSQL instances across the organization, the;

• hostname,
• IP,
• version,
• database,
• owner,
• environment,
• criticality

information can be held in an inventory.

Shadow PostgreSQL Risk

Developer teams spinning up uncontrolled PostgreSQL instances leads to patching and security problems.

A DBaaS and Platform Engineering approach reduces this risk.

PostgreSQL Standardization

A standard organization-wide;

• version,
• configuration,
• backup,
• monitoring,
• security baseline

can be established.

PostgreSQL Golden Image

A standard and secure PostgreSQL deployment template can be created.

PostgreSQL Lifecycle Management

The PostgreSQL lifecycle:

Design → Provision → Secure → Operate → Monitor → Backup → Patch → Upgrade → Retire

can be managed in this shape.

Pre-Installation Analysis for PostgreSQL

Before a new PostgreSQL system is deployed, SecureSys can analyze the;

• workload,
• data,
• availability,
• performance,
• security,
• backup,
• DR

requirements.

PostgreSQL Capacity Analysis

CPU, memory, storage and IOPS requirements can be planned with both current and future load in mind.

PostgreSQL Security Analysis

Role, network, authentication, logging and encryption configurations can be checked.

PostgreSQL Performance Analysis

Query, index, memory and I/O bottlenecks can be identified.

PostgreSQL Backup Analysis

Whether existing backup processes genuinely meet the RPO/RTO targets is assessed.

PostgreSQL HA Analysis

How the existing replication and failover structure would behave in a real server failure can be tested.

PostgreSQL DR Analysis

Whether the Disaster Recovery Center holds current data and can actually be brought online can be checked.

The SecureSys PostgreSQL Service Process

1. Discovery and Inventory

Existing PostgreSQL servers, databases and their application relationships are mapped out.

2. Architecture Analysis

Production, Test, HA and DR requirements are determined.

3. PostgreSQL Installation

Installation is carried out on the appropriate PostgreSQL version and operating system.

4. Security Hardening

Authentication, authorization, network and logging controls are applied.

5. Performance Tuning

Memory, connection, query and storage settings are optimized.

6. High Availability

Where required, replication, Patroni, HAProxy and connection pooling architectures are built.

7. Backup

Full backup, WAL archive, PITR and retention policies are configured.

8. Monitoring

PostgreSQL health, performance, replication and backup metrics are brought into central monitoring.

9. SIEM and SOC

Security logs can be integrated with the SIEM and SOC infrastructure.

10. DR

A Disaster Recovery structure can be built in a second data center or in the cloud.

11. Maintenance

Vacuum, analyze, index, patch and capacity processes are managed regularly.

12. Continuous Improvement

The PostgreSQL infrastructure is optimized continuously using performance, security and capacity data.

Why the SecureSys PostgreSQL Installation and Maintenance Service?

PostgreSQL is a powerful database platform for critical applications, but its success in production depends on the right operating model.

In the SecureSys PostgreSQL approach, the;

Database + System + Network + Security + Backup + Monitoring + SOC + Disaster Recovery

components are evaluated together.

This lets PostgreSQL be managed not as an isolated service left to the database team alone, but as part of the organization's end-to-end IT and cyber security architecture.

In particular;

• highly available PostgreSQL Cluster,
• Patroni,
• PostgreSQL Replication,
• PostgreSQL Backup,
• PITR,
• PostgreSQL Security Hardening,
• PostgreSQL Monitoring,
• Red Network / Green Network isolation,
• PostgreSQL DR,
• PostgreSQL DBaaS,
• PostgreSQL + pgvector AI infrastructures

can be addressed within a single architecture.

Frequently Asked Questions

How is PostgreSQL installed?

PostgreSQL can be installed on an operating system, but in production it must be configured together with its configuration, security, backup and monitoring requirements.

Is PostgreSQL free?

PostgreSQL is an open source database platform. That said, enterprise operation, infrastructure, maintenance and support costs still apply.

How is PostgreSQL High Availability achieved?

A highly available structure can be built using Streaming Replication, Patroni, HAProxy and suitable cluster architectures.

How is PostgreSQL backed up?

Logical or physical backup methods, WAL archiving and Point-in-Time Recovery can be used. The right method must be chosen against RPO and RTO requirements.

Can PostgreSQL be monitored 24/7?

Yes. Availability, performance, replication, backup and security events can be monitored continuously.

Can PostgreSQL be deployed inside the Red Network?

Yes. PostgreSQL can be deployed in a Red Network or air-gapped environment fully isolated from the internet, with offline management processes in place.

Does PostgreSQL run on Kubernetes?

Yes. PostgreSQL can run on Kubernetes as a stateful workload and through PostgreSQL Operator architectures.

Can PostgreSQL be used in RAG projects?

Yes. Using pgvector, embedding data can be stored on PostgreSQL and semantic search can be performed in RAG applications.

Can PostgreSQL replace Oracle?

In some applications, yes. However, schema, stored procedure, application and performance compatibility must be analyzed before migrating from Oracle to PostgreSQL.

Can a DBA service be provided for PostgreSQL?

Yes. Installation, maintenance, performance, backup, replication and incident processes can be managed within a Managed PostgreSQL DBA service.

Make Your PostgreSQL Infrastructure Secure and Highly Available

Database systems are not ordinary services running quietly behind applications; they are the infrastructure holding an organization's most critical data assets.

A PostgreSQL outage can stop an entire application. Misconfigured privileges create data security risk. And a backup that does not work makes recovery impossible at the moment of disaster.

With the SecureSys PostgreSQL Installation, Maintenance and Management Service, you can manage the;

PostgreSQL → Security → Performance → High Availability → Backup → Monitoring → Disaster Recovery

processes under a single service model.

You can have a Health Check and Performance Analysis carried out on your existing PostgreSQL environment, design a High Availability PostgreSQL Cluster for new projects, or move your PostgreSQL infrastructure to a DBaaS and Managed PostgreSQL model.

Have your PostgreSQL infrastructure analyzed, identify your performance and security risks, and build a database architecture resilient to outage.