Week13/52 - Scaling Oracle Managed Services Across Business Units

{ Abhilash Kumar Bhattaram : Follow on LinkedIn }

Closing the First 12 Weeks — From Stability to Scale
If you’ve been following the first 12 weeks of The Predictable CTO’s Journey from Nabhaas , you’ll notice a pattern.
Everything so far was about removing operational anxiety.

• Patching that doesn’t steal weekends.
• Managed delivery that works even when teams rotate.
• Testing that actually behaves like production.
• Compliance that’s handled quietly in the background, not during audits.

These are the fundamentals. Without them, nothing scales.

The next 12 weeks are different.
This is where Oracle stops being “one team’s problem” and starts becoming an enterprise service.

• Multiple business units.
• Different workloads.
• Different peak cycles.
• Different risk appetites.

As a founder, I’ve seen what breaks first when scale is attempted without discipline. This phase is about scaling Oracle operations without multiplying incidents, costs, or surprises.

Predictability is no longer about a single database.
It’s about giving you confidence across the organization.

Scaling Oracle Managed Services Across Business Units

As organizations grow, so do the expectations from Oracle services. What works for one team or application rarely scales to multiple lines of business. Silos form , complexity explodes, and reliability becomes localized rather than enterprise-level. This week we explore the operational challenges of scaling managed Oracle services and how to approach them methodically.

1. Ground Zero: Where Challenges Start

+--------------------------------------------------------------------------------------+
| - Each business unit runs its own Oracle instances with independent patch cycles     |
| - Teams use divergent standards for backup, DR, and deployment                       |
| - No unified inventory or service catalog across units                               |
| - Cross-business SLA expectations differ — no single “service level truth”           |
| - Incident response varies by team — inconsistent RCA quality                        |
| - Local optimizations hide global inefficiencies                                     |
| - Cost centers multiply without cost visibility                                      |
|                                                                                      |
| >> Scaling starts to break when more units mean more *isolated* processes, not more  |
|    *standardized* ones.                                                              |
+--------------------------------------------------------------------------------------+

2. Underneath Ground Zero:

+--------------------------------------------------------------------------------------+
| - Lack of centralized governance and policy — each unit builds its own               |
|   patch, backup, and change approach                                                 |
| - Duplication of roles and tools — infra, app, and DB teams solve the same problems  |
|   separately                                                                         |
| - Fragmented observability and metrics — no cross-unit SLA dashboard                 |
| - Multiple environments with inconsistent performance baselines                      |
| - Shadow IT provisioning bypasses central services                                   |
| - Legacy architecture boundaries restrict shared platforms                           |
| - No service catalog with clear ownership and billing tags                           |
|                                                                                      |
| >> The hidden problem is not just technical — it’s organizational: processes,        |
|    ownership, cost allocation, and shared visibility.                                |
+--------------------------------------------------------------------------------------+

3. Working Upwards:

+--------------------------------------------------------------------------------------+
| - Establish a single Oracle service catalog covering all business units              |
| - Standardize SLA definitions — uptime, MTTR, performance tiers                      |
| - Create a single inventory and governance model for patching, backups, and DR       |
| - Align change cycles across business units to reduce conflict and downtime          |
| - Centralize observability — aggregated AWR/ASH dashboards                           |
| - Define cross-unit incident response playbooks and RCA taxonomy                     |
| - Implement cost tagging (chargeback/showback) per unit                              |
| - Use managed automation (TAB) for repeatable patching, restores, and deployments    |
| - Quarterly service review with business unit stakeholders                           |
|                                                                                      |
| >> Managed services scale not by decentralizing — but by institutionalizing          |
|    repeatable processes that all units can trust.                                    |
+--------------------------------------------------------------------------------------+

How Nabhaas helps you

If you’ve made it this far, you already sense there’s a better way — in fact, you have a way ahead.

If you’d like Nabhaas to assist in your journey, remember — TAB is just one piece. Our Managed Delivery Service ensures your Oracle operations run smoothly between patch cycles, maintaining predictability and control across your environments.

TAB - Whitepaper ,
download here

Managed Delivery Services - Whitepaper ,
download here