Infrastructure

Everything Above the Database Inherits Its Limits

The AI program, the analytics layer, the application estate. All of it is constrained by a platform that was sized for a workload nobody runs anymore, on a licensing model nobody has revisited, running an engine that predates half the team. We engineer that layer for what runs on it now, and for what will run on it next.
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See how we deliver...
Why Infolob

Fleets, Not Databases

Enterprises rarely have a database problem. They have a two hundred database problem, spread across four engines, three clouds, and two decades of decisions made by people who have since left

Estate scale, not instance scale

Where the economics live

Tuning one database is a task. Standardizing a fleet, consolidating what should not exist separately, and getting the licensing position right is a program. The second one is where the money is.

Engine and cloud agnostic

Oracle is proof, not the ceiling

Oracle depth is our proof point and remains unmatched in our market. It is not the boundary of the practice. PostgreSQL, SQL Server, and MySQL estates get the same engineering discipline.

Evidence, not opinion

AWR Warehouse

Our own platform profiles long-horizon workload behavior and turns it into sizing, consolidation, and licensing decisions grounded in what the estate actually did, rather than what a vendor sizing sheet assumes.

One partner, strategy through steady state

Advise

Advisory

Build

Implementation

Migrate

Migration

Run

Managed Services

Extend

Custom Development

Optimize

FinOps

Engines and deployment

Every Engine, Every Target

The engineering discipline is constant. The engine and the deployment model are variables, decided by workload characteristics and by the commercial position, not by habit.
Engine

Oracle

Exadata, Autonomous Database, RAC, and Data Guard expertise across 23ai, engineered systems, on-premises, and cloud deployments.

Exadata · Autonomous · RAC

Engine

PostgreSQL

Enterprise PostgreSQL with pgvector for AI and embedding workloads, enabling cost-effective Oracle modernization and migration strategies.

Managed and self-hosted

Engine

SQL Server and MySQL

Estate consolidation, version currency, high availability design, and migration across the Microsoft and open source database footprint.

Managed instances

Layer

Vector and retrieval

Vector-enabled database architectures for retrieval workloads, providing the persistent memory layer that powers intelligent agents.

Native and dedicated stores

Target

On-premises and engineered systems

Data center estates that are staying, including Exadata and Oracle Database Appliance refresh cycles and hardware generation upgrades.

Target

Oracle Cloud Infrastructure

OCI as a first-class destination, including Exadata Cloud Service and Cloud at Customer where residency or latency rules out public cloud.

Target

Oracle Database@ hyperscaler

Oracle database workloads running inside Google Cloud, Azure, and AWS regions, with the estate staying on Oracle and the intelligence layer moving to the hyperscaler.

Target

Hyperscaler-native

Managed and self-managed database services across Azure, Google Cloud, and AWS, selected on workload fit rather than on which migration was easiest to sell.

Capabilities

What we deliver

Architect

Design the right foundation
  • Workload assessment and sizing
  • HA/DR architecture
  • Consolidation and licensing optimization
  • Multi-cloud target architecture

Migrate

Modernize with confidence
  • Cross-engine and cross-cloud migrations
  • Upgrades and currency programs
  • Low-downtime migration approaches
  • Cutover planning and execution

Optimize

Maximize performance and value
  • Performance analysis and tuning
  • Query, schema, and index optimization
  • Capacity and storage optimization
  • FinOps-driven cost management

Operate

Ensure continuous reliability
  • 24x7 managed database services
  • Patching and lifecycle management
  • Backup, recovery, and DR testing
  • Monitoring, security, and governance

What is changing

The Database Now Has a New Primary User

For thirty years the database was designed around human developers and scheduled batch. That assumption is breaking. Agents generate queries continuously, at machine speed, in volumes and patterns no capacity model anticipated, and they treat the database as a memory layer rather than as a system of record.

The consequences are concrete. Connection and concurrency profiles change shape. Cost models built on predictable batch windows stop predicting. Retrieval workloads want vector capability next to transactional data rather than in a separate system. Access control has to hold when the caller is not a person.

We engineer for that shift now, on the estates enterprises already run, rather than treating it as a future architecture exercise.

What this means in practice

  • Capacity models rebuilt for continuous rather than batch load
  • Vector capability placed next to transactional data where retrieval demands it
  • Connection pooling and concurrency designed for agent traffic
  • Access control that holds when the caller is a service, not a user
  • Cost attribution per workload rather than per instance
  • Lineage from the retrieval result back to the source record

Frontier models are only as good as the estate they can reach

Delivery Record

Trusted with the estates enterprises will not put at risk

For 17+ years Infolob has been trusted with the mission-critical estates enterprises are least willing to risk. That is the relevant credential on Google Cloud: not a partner who has read about these systems, but the one who already runs them.

17+
Years of enterprise delivery

250+
Enterprise clients

500+
Technology professionals

800+
Certifications

4+
Hyperscaler partnerships

Customer successes

Delivered outcomes, not projections

We assert what we have delivered. Every claim below comes from a completed engagement.

Infrastructure
Healthcare

Healthcare firm replatforms EHR and reduces operating cost

EHR migration to Exadata, delivering approximately $10M in annual operating cost reduction.

Read The Story

Infrastructure
Financial services

Global fintech adopts Exadata to support expansion

Platform consolidation supporting rapid transaction growth without proportional infrastructure cost.

Read The Story

Infrastructure
Retail

Lifestyle retailer brings cloud into on-premise infrastructure

Oracle Cloud at Customer deployment resolving public cloud security constraints without stalling modernization.

Read The Story

See All Success Stories
Entry Offer

Find out what your database estate is actually costing you

The Estate Diagnostic profiles your database fleet using AWR Warehouse and produces a consolidation, sizing, and licensing position grounded in observed workload behavior rather than in vendor assumptions. No cost, no obligation to proceed.
Request an Estate Diagnostic

What you walk away with

  • Fleet inventory across engines, versions, and deployment targets
  • Long-horizon workload profile per database
  • Consolidation candidates with quantified impact
  • Right-sizing recommendations against observed behavior
  • Licensing position analysis and optimization options
  • Sequenced modernization plan with a business case

[email protected] · infolob.com