Use Cases of Oracle Grid Control 

Oracle Grid Control was designed for centralized management of on‑premise Oracle IT infrastructure, especially when organizations had many databases, middleware servers, and hosts.

1. Centralized Monitoring of Large On‑Prem Environments

Grid Control provides a single-window solution for monitoring multiple Oracle databases, WebLogic servers, hosts, and even some non-Oracle technologies (IBM WebSphere, SQL Server, etc.) in one place.

2. End-to-End Application & Service Monitoring

It includes service-level management, real user monitoring, and deep diagnostics for multi-tier applications—ideal for environments needing SLA visibility.

3. Database Performance Diagnostics (11g Features)

For Oracle Database 11g Release 2, Grid Control provides:

• Enhanced performance pages
• ADDM integration
• Real-time SQL monitoring
• Parallel SQL tuning
  
  

4. Real Application Clusters (RAC) & High Availability Management

Use cases include:

• Managing policy-managed RAC databases
• Auto-discovery of RAC nodes
• Monitoring Oracle Clusterware and Grid Infrastructure
  
  

5. Configuration, Provisioning, and Lifecycle Management

Grid Control supports configuration management, provisioning, and patching in on‑prem environments.

6. Modeling IT Environment & Service-Level Management

Advanced use cases include:

• Modeling composite services
• Service-level agreements (SLAs)
• Root-cause analysis for service failures
  
  

Ideal For:

✔ Large on‑prem Oracle estates
✔ Mixed orchestration environments (DB + WebLogic + Hosts)
✔ Traditional data centers without cloud
✔ RAC-heavy deployments
✔ Organizations needing SLA and service monitoring

---

✅ Use Cases of Oracle Cloud Control (OEM 12c/13c)

Oracle Cloud Control expands on Grid Control by adding cloud, engineered systems, automation, and lifecycle capabilities.

1. Managing Entire Enterprise + Cloud Infrastructure

Cloud Control is Oracle’s integrated platform for monitoring databases, engineered systems, applications, middleware, hardware, and cloud environments centrally.

2. Hybrid & Cloud Management

It provides capabilities for:

• Oracle Cloud (OCI) monitoring
• Hybrid deployments (on‑prem + cloud)
• Cloud automation, configuration, and provisioning
  
  

3. Full Lifecycle Management & Automation

Cloud Control offers automated:

• Configuration management
• Provisioning
• Patch automation
• Compliance assessment
  
  

4. Engineered Systems (Exadata, ZDLRA) Management

Cloud Control supports Oracle engineered systems for:

• Hardware health monitoring
• Exadata cell and storage metrics
• Database machine-level performance
  (Engineered systems management is explicitly part of Cloud Control’s scope.)
  
  

5. Deep Diagnostics & Tuning via Licensed Packs

Cloud Control integrates advanced features when packs are enabled:

• Diagnostics Pack (AWR/ASH integration)
• Tuning Pack
• Lifecycle Management Pack
  
  

6. Compliance & Security Monitoring

Cloud Control supports compliance frameworks and access control management for enterprise governance—e.g., SOX, security baselines.

7. Managing Large Fleets at Scale

Includes support for:

• Fleet Maintenance
• Mass agent deployment
• Drift analysis
• Enterprise-wide policy enforcement

Ideal For:

✔ Multi-datacenter enterprises
✔ Cloud + on‑prem hybrid environments
✔ Exadata and engineered systems
✔ Large fleet automation & compliance
✔ Organizations needing advanced diagnostics and tuning

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🆚 Summary: When to Use What

Requirement	Grid Control	Cloud Control
Large on‑prem infrastructure	✔	✔
Hybrid / Cloud environments	❌	✔
Engineered systems (Exadata)	Limited	✔ Full support
Advanced automation & provisioning	Moderate	✔ Extensive
SLA, service modeling	✔	✔ Enhanced
Diagnostics, Tuning Packs	Available	✔ Fully integrated
Modern UI, plugin architecture	Legacy	✔ Modern extensible

---

🎯 Short Answer

• Grid Control → Best for older, fully on‑premises Oracle environments needing centralized monitoring and basic lifecycle management.
• Cloud Control → Best for modern enterprises requiring cloud integration, engineered systems support, automation at scale, and advanced diagnostics/compliance.

 

🚀 Database Control vs Grid Control vs Cloud Control (OEM)

1. Database Control (DB Control)

Scope: Single database / single host

What it is:

• A lightweight management console installed automatically with an Oracle database.
• Uses the local DB Control Agent and stores configuration in the database’s own repository.

Best for:
✔ Managing one database
✔ Basic monitoring
✔ Single-server environments

Limitations:
❌ Cannot manage multiple databases centrally
❌ No enterprise monitoring
❌ Feature deprecated since Oracle 12c
❌ Not suitable for HA/DR, Exadata, RAC monitoring at scale

Think of it as:

A local-only admin console for one Oracle DB instance.

---

2. Grid Control (OEM 10g / 11g)

Scope: Enterprise-level monitoring across multiple servers

What it is:

• First enterprise-grade OEM version that gave you central management.
• Came with:
  • OMS (Oracle Management Server)
  • OMR (Oracle Management Repository)
  • Agent on each monitored host

Best for:
✔ Monitoring multiple DBs
✔ Managing RAC, ASM
✔ Host & application monitoring
✔ Patch management (PSUs)
✔ SLA dashboards

Limitations:
❌ Older architecture
❌ Not cloud-ready
❌ No plugin-based extensibility (limited compared to Cloud Control)

Think of it as:

Enterprise monitoring 1.0 — centralized, but still traditional.

---

3. Cloud Control (OEM 12c → 13c)

Scope: Enterprise + Cloud + Engineered systems

What it is:

• Successor to Grid Control.
• Plugin-based architecture to support:
  • Oracle DB (all versions)
  • Middleware (WebLogic)
  • Engineered systems (Exadata, ZDLRA)
  • Oracle Cloud, OCI
  • Non-Oracle technologies (SQL Server, VMware, etc.)

Key capabilities added:

• Lifecycle Management
• Patching & Provisioning Automation
• Fleet Maintenance
• Compliance Management (e.g., STIG, CIS)
• Cloud & hybrid monitoring
• Advanced diagnostics (AWR, ASH, ADDM integrated)

Best for:
✔ Large enterprises
✔ Multi-datacenter environments
✔ Exadata-heavy setups
✔ CI/CD for DB patching (Fleet Maintenance)
✔ Compliance & audit-driven organizations

Think of it as:

Enterprise monitoring 2.0 — scalable, cloud-aware, and automation‑focused.

---

📌 Quick Comparison Table

Feature	Database Control	Grid Control	Cloud Control
Scope	Single DB	Multi-DB Enterprise	Hybrid Cloud + Enterprise
Repository	Local DB	Central OMR	Central OMR (Enhanced)
Cloud support	❌	❌	✔ OCI, Hybrid
Engineered systems (Exadata)	❌	Limited	✔ Full support
Patch automation	Basic	Better	Best (Fleet Maintenance)
Plugins	❌	Limited	✔ Full plugin system
Status	Deprecated	Legacy	Current (OEM 13c)

---

🧠 In Simple Terms

• Database Control → Local tool for one database
• Grid Control → Central tool for many databases
• Cloud Control → Enterprise+Cloud management with automation & plugins

https://www.softwareone.com/en/blog/articles/2021/05/31/oracle-enterprise-manager-how-to-avoid-unexpected-licensing-challenges

https://docs.oracle.com/en/database/oracle/oracle-database/19/dblic/Licensing-Information.html#GUID-B6113390-9586-46D7-9008-DCC9EDA45AB4

How to pull image in docker and run ? Hello-World image

use : https://hub.docker.com/_/hello-world

anurag@Anurags-MacBook-Air ~ % 

anurag@Anurags-MacBook-Air ~ % 

anurag@Anurags-MacBook-Air ~ % 

anurag@Anurags-MacBook-Air ~ % docker pull hello-world

Using default tag: latest

latest: Pulling from library/hello-world

Digest: sha256:ef54e839ef541993b4e87f25e752f7cf4238fa55f017957c2eb44077083d7a6a

Status: Image is up to date for hello-world:latest

docker.io/library/hello-world:latest

anurag@Anurags-MacBook-Air ~ % 

anurag@Anurags-MacBook-Air ~ % 

anurag@Anurags-MacBook-Air ~ % docker run hello-world

Hello from Docker!

This message shows that your installation appears to be working correctly.

To generate this message, Docker took the following steps:

 1. The Docker client contacted the Docker daemon.

 2. The Docker daemon pulled the "hello-world" image from the Docker Hub.

    (arm64v8)

 3. The Docker daemon created a new container from that image which runs the

    executable that produces the output you are currently reading.

 4. The Docker daemon streamed that output to the Docker client, which sent it

    to your terminal.

To try something more ambitious, you can run an Ubuntu container with:

 $ docker run -it ubuntu bash

Share images, automate workflows, and more with a free Docker ID:

 https://hub.docker.com/

For more examples and ideas, visit:

 https://docs.docker.com/get-started/

anurag@Anurags-MacBook-Air ~ % >....                                                                                                                                                                           

This message shows that your installation appears to be working correctly.

To generate this message, Docker took the following steps:

 1. The Docker client contacted the Docker daemon.

 2. The Docker daemon pulled the "hello-world" image from the Docker Hub.

    (arm64v8)

 3. The Docker daemon created a new container from that image which runs the

    executable that produces the output you are currently reading.

 4. The Docker daemon streamed that output to the Docker client, which sent it

    to your terminal.

To try something more ambitious, you can run an Ubuntu container with:

 $ docker run -it ubuntu bash

Share images, automate workflows, and more with a free Docker ID:

 https://hub.docker.com/

For more examples and ideas, visit:

 https://docs.docker.com/get-started/

anurag@Anurags-MacBook-Air ~ % 

if you see " Hello from Docker! " then all good 

Oracle AI Database 26ai ?

Oracle AI Database 26ai – Key Highlights

Next Long-Term Support Release

Delivers over 300 new features focused on AI integration and developer productivity.

AI & Machine Learning Enhancements

AI Vector Search

Supports generation and storage of vector embeddings for documents, images, audio, and more.

Enables fast similarity search using Oracle’s existing analytical engines.

Integrated Machine Learning

Leverages Oracle’s extensive ML algorithms to rapidly build sophisticated AI-driven applications.

AI-Optimized Core Functions

Uses AI to improve accuracy of execution-time estimates and resource costing.

Developer Productivity Improvements

Flexible Development Models

Simplified development for JSON, relational, or hybrid application architectures.

Enhanced Microservices & Messaging

Expanded support for modern microservice-based application designs.

New RAFT Protocol Support

Simplifies database distribution and sharding for regulatory and performance-driven requirements.

SQL & PL/SQL Advancements

New Data Types & Language Enhancements

Improves creation and optimization of OLTP and analytical applications.

SQL Firewall

Offers advanced security by controlling precisely which SQL statements can execute against the database.

Database Administration Improvements

Refined Management Tasks

Reduced complexity and improved performance across key DBA operations.

New automation for tasks such as reclaiming free space in tablespaces.

Performance Enhancements

Infrastructure-level boosts, including True Cache, for higher throughput.

SQL-level optimizations enabling significantly faster execution of certain statements.

How to Monitor When Oracle Management Packs Are Activated or Used in Oracle database ?

 

How to Monitor When Oracle Management Packs Are Activated or Used

Oracle provides multiple internal views, advisor logs, and AWR/ADDM activity indicators that reveal accidental or unauthorized use of:

• Diagnostics Pack
• Tuning Pack

Below is a complete monitoring framework.

---

✅ 1. Check if Diagnostic/Tuning Features Were Used (Primary Indicator)

Oracle logs all usage in DBA_FEATURE_USAGE_STATISTICS.

Run:

SELECT name, detected_usages, total_samples, last_usage_date

FROM dba_feature_usage_statistics

WHERE name IN (

'Automatic Workload Repository',

'ADDM',

'SQL Tuning Advisor',

'SQL Access Advisor',

'ASH',

'AWR Baseline',

'Real-Time SQL Monitoring'

)

ORDER BY last_usage_date DESC;

What to look for:

• DETECTED_USAGES > 0 → feature was used
• LAST_USAGE_DATE not null → pack was accessed
• If you disabled packs but this still updates → OEM or some script is still invoking features

This is the most authoritative licensing indicator.

---

✅ 2. Monitor the Management Pack Parameter (Active Status)

Run:

SHOW PARAMETER control_management_pack_access;

Expected safe value:

NONE

If it changes to:

• DIAGNOSTIC
• DIAGNOSTIC+TUNING

➡️ Packs are active and billable.

For automated monitoring, query:

SELECT value

FROM v$parameter

WHERE name='control_management_pack_access';

---

✅ 3. Check if AWR Snapshots Are Being Generated (Diagnostics Pack Usage)

If snapshots exist, AWR is active → Diagnostic Pack is considered used.

SELECT snap_id, begin_interval_time, end_interval_time

FROM dba_hist_snapshot

ORDER BY snap_id DESC

FETCH FIRST 10 ROWS ONLY;

If you see new snapshots after disabling:

➡️ Something is still collecting AWR data.

---

✅ 4. Monitor ADDM Execution (Diagnostics Pack)

SELECT task_name, created, status

FROM dba_advisor_tasks

WHERE advisor_name='ADDM';

If any task appears → Diagnostics Pack used.

---

✅ 5. Monitor SQL Tuning Advisor Activity (Tuning Pack)

SELECT task_name, created, status

FROM dba_advisor_tasks

WHERE advisor_name='SQL TUNING ADVISOR';

If tasks ran → Tuning Pack usage triggered.

Also check:

SELECT COUNT(*) FROM DBA_ADVISOR_LOG WHERE advisor_name='SQL TUNING ADVISOR';

---

✅ 6. Monitor SQL Access Advisor Activity (Tuning Pack)

SELECT task_name, created, execution_start

FROM dba_advisor_tasks

WHERE advisor_name='SQL ACCESS ADVISOR';

Any appearance = Tuning Pack usage.

---

✅ 7. Detect Automatic SQL Monitoring (Diagnostics + Tuning Pack)

SQL Monitoring is part of Tuning Pack.

Check ASH/SQL Monitor usage:

SELECT sql_id, status, sid, username, elapsed_time

FROM v$sql_monitor;

If rows appear → Tuning Pack active.

---

✅ 8. OEM Activity Monitoring (Common Source of Accidental Usage)

OEM may trigger pack usage even if DBAs don't run anything manually.

Check OEM repository:

For AWR/ASH report generation:

SELECT * FROM mgmt$awr_reports ORDER BY time_start DESC;

For SQL Tuning Advisor tasks created by OEM:

SELECT task_name, created

FROM dba_advisor_tasks

WHERE task_name LIKE 'SYS_AUTO_SQL%';

If OEM is generating:

• AWR Reports
• ADDM Reports
• SQL Tuning tasks

➡️ Packs are being used even if parameter says NONE.

---

✅ 9. Enable Audit Monitoring for Parameter Changes

Track if someone re-enabled packs:

AUDIT ALTER SYSTEM;

Then check:

SELECT username, timestamp, sql_text

FROM dba_audit_trail

WHERE sql_text LIKE '%control_management_pack_access%';

This is extremely valuable during SOX audits.

---

📈 10. Recommended Scheduled Monitoring Script

Run daily/weekly through OEM/cron.

SELECT 'FEATURE_USAGE', name, detected_usages, last_usage_date

FROM dba_feature_usage_statistics

WHERE detected_usages > 0

UNION ALL

SELECT 'AWR_SNAP', snap_id, begin_interval_time, end_interval_time

FROM dba_hist_snapshot

WHERE begin_interval_time > SYSDATE-1;

Generate alerts if ANY usage is detected.

---

🎯 Summary – What You Must Monitor

Check Area	What It Detects	Indicates Usage
DBA_FEATURE_USAGE_STATISTICS	Core features	Primary licensing indicator
DBA_HIST_SNAPSHOT	AWR snapshots	Diagnostics Pack
ADDM Tasks	Diagnostics Pack	Yes
SQL Tuning Advisor	Tuning Pack	Yes
SQL Access Advisor	Tuning Pack	Yes
SQL Monitoring	Tuning Pack	Yes
OEM Activity	Auto usage triggers	Very common
Audit of parameter change	Re-enabling packs	Compliance breach

---