SP TI
Databases

Enterprise databases with operations and continuity in mind.

We implement, upgrade, migrate and optimize Oracle, Informix, DB2, MySQL, SQL Server and PostgreSQL while considering availability, storage, backup and application dependencies.

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Oracle · Informix · DB2 · SQL Server · PostgreSQL
Oracle · Informix · DB2 · SQL Server · PostgreSQL
Database Engines

Commercial and open-source platforms require different operating models.

Each engine is addressed according to architecture, version, workload and dependencies rather than applying one recipe to every platform.

Oracle

Oracle for enterprise and mission-critical workloads.

  • Installation and configuration
  • Upgrades and migration
  • Performance and tuning
  • Oracle RAC where applicable

Informix and db2

Existing enterprise platforms requiring continuity, upgrades or controlled migration.

  • Version inventory
  • Configuration
  • Storage integration
  • Backup integration

Mysql and postgresql

Open-source engines for services that need an operable, maintainable platform.

  • Implementation
  • Upgrades
  • Performance review
  • Backup and recovery

Sql server

Microsoft database platform integrated with Windows and enterprise storage.

  • Configuration
  • Updates
  • Performance
  • Backup and recovery
Implementation

Build the database around its operating requirements.

Installation includes instance layout, connectivity, storage and protection—not just software binaries.

Platform build

Prepare engine, instance, storage and connectivity.

  • Instance architecture
  • Datafiles / data spaces
  • Network services
  • Initial backup

Operational baseline

Capture the starting point for future change and troubleshooting.

  • Versions
  • Parameters
  • I/O layout
  • Baseline metrics
Performance

Measure before changing parameters.

We analyze symptoms and metrics first, then change only what the evidence supports.

Sql and execution

Review SQL behavior and execution plans where applicable.

  • SQL profile
  • Execution plans
  • Wait events
  • Concurrency

I/O and memory

Correlate storage, memory and workload behavior.

  • Latency
  • Throughput
  • Memory pressure
  • Before/after baseline
Migration And Clustering

Move data or topology with cutover and dependencies controlled.

Migration method depends on source, target, data volume, downtime and availability requirements.

Migration

Define synchronization and cutover method.

  • Source/target compatibility
  • Data movement
  • Cutover
  • Validation

Clustering

Use clustering when the service and platform justify it.

  • Topology
  • Storage/network
  • Failover
  • Operational testing
Technical Baseline

Before tuning parameters, understand the workload and platform.

A useful diagnosis connects engine behavior with operating system, memory, storage, network, backup and application dependencies.

Version and topology

We document version, instance, services and availability mechanisms.

  • Release and patches
  • Instances / nodes
  • Services
  • HA / cluster

Workload

We observe behavior before changing configuration.

  • Sessions
  • CPU and memory
  • Waits / locks
  • Critical windows

Storage and backup

The database depends on the I/O path and restorable protection.

  • Datafiles / logs
  • Latency
  • Backup
  • Restore

Controlled change

Upgrade and migration require compatibility, sequence and rollback.

  • Pre-check
  • Change plan
  • Rollback
  • Validation
Next Step

Review version, workload and dependencies before the change.

The engagement can range from a focused health check to an upgrade, migration or high-availability architecture.

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