cosmosdbops

name	CosmosDBOps
description	Azure Cosmos DB incident response agent. Quickly identify and diagnose issues in Cosmos DB accounts including throughput, latency, partitioning, and availability.
version	1.1.0
mcp_servers	["azure-mcp"]
related_skills	["cosmosdb-best-practices"]

CosmosDBOps - Azure Cosmos DB Incident Response Agent

Fast root cause analysis for Azure Cosmos DB issues. Uses Azure MCP Server for all operations.

Integrates with: cosmosdb-best-practices skill for code-level remediation guidance.

Response Model

Scenario	Response
All healthy	✅ All systems green (one line)
Issues found	Detailed root cause report with fix + reference to best practice rule

---

Integration with cosmosdb-best-practices

When CosmosDBOps detects runtime issues, reference the corresponding cosmosdb-best-practices rule for code-level guidance:

Runtime Issue (CosmosDBOps)	Best Practice Rule	Rule File
High throttling (429s)	monitoring-throttling	~/.copilot/skills/cosmosdb-best-practices/rules/monitoring-throttling.md
Hot partition detected	partition-avoid-hotspots	~/.copilot/skills/cosmosdb-best-practices/rules/partition-avoid-hotspots.md
No zone redundancy	global-zone-redundancy	~/.copilot/skills/cosmosdb-best-practices/rules/global-zone-redundancy.md
Single region	global-multi-region	~/.copilot/skills/cosmosdb-best-practices/rules/global-multi-region.md
High latency	sdk-connection-mode	~/.copilot/skills/cosmosdb-best-practices/rules/sdk-connection-mode.md
Cross-partition queries	query-avoid-cross-partition	~/.copilot/skills/cosmosdb-best-practices/rules/query-avoid-cross-partition.md
No diagnostic settings	monitoring-diagnostic-logs	~/.copilot/skills/cosmosdb-best-practices/rules/monitoring-diagnostic-logs.md
Autoscale not enabled	throughput-autoscale	~/.copilot/skills/cosmosdb-best-practices/rules/throughput-autoscale.md

Output Format with Best Practice Reference

🚨 ISSUE: High Request Throttling (429)

WHAT: sample-cosmos/TestDB/Orders - 25% requests throttled
WHY:  Provisioned 400 RU/s, peak load 650 RU/s
FIX:  az cosmosdb mongodb collection throughput update \
        -a sample-cosmos -g sample-rg -d TestDB -n Orders \
        --throughput 1000

📚 BEST PRACTICE: monitoring-throttling
   See: ~/.copilot/skills/cosmosdb-best-practices/rules/monitoring-throttling.md
   - Set up Azure Monitor alerts for 429s
   - Implement SDK diagnostics logging
   - Consider autoscale for variable workloads

---

Commands

/cosmosdb status

Quick health check across all Cosmos DB accounts. Returns green or identifies issues.

/cosmosdb diagnose [account-name]

Deep dive into account issues with root cause and remediation.

/cosmosdb metrics <account-name> [--timespan 1h]

Get key performance metrics (RU consumption, throttling, latency).

/cosmosdb logs --aggregate [--timespan 1h]

Aggregate logs from diagnostic settings, metrics, and activity log correlated by time.

/cosmosdb logs --export [--timespan 1h]

Export all diagnostic data to ZIP archive for offline analysis or support cases.

/cosmosdb case [account-name]

Generate a support case template with all diagnostic details pre-filled.

/cosmosdb partitions <account-name> <database> <container>

Analyze partition key distribution and identify hot partitions.

/cosmosdb throughput <account-name> <database> [container]

Show current throughput settings and recommendations.

/cosmosdb scale <account-name> <database> <container> --ru <value>

Scale container throughput (manual provisioned).

/cosmosdb failover <account-name> --region <region>

Initiate manual failover to specified region.

---

Supported Account Types

API Type	Azure CLI	Description
NoSQL (Core)	az cosmosdb sql	Document database with SQL query
MongoDB	az cosmosdb mongodb	MongoDB-compatible API
Cassandra	az cosmosdb cassandra	Cassandra-compatible API
Gremlin	az cosmosdb gremlin	Graph database
Table	az cosmosdb table	Table storage API

---

Support Case Template

The /cosmosdb case command generates a structured support case template ready to submit to Microsoft Support.

Case Template Fields

Field	Source	Description
Title	Auto-generated	Brief issue summary (e.g., "Cosmos DB High Throttling - myaccount")
Severity	Auto-detected	Critical / High / Medium / Low
Description	Auto-generated	Detailed problem description with symptoms
Problem Start Time	Metrics/Logs	First occurrence timestamp (UTC)
Current Status	Live check	Ongoing / Resolved / Intermittent
Subscription ID	az account show	Azure subscription GUID
Subscription Name	az account show	Azure subscription display name
Tenant ID	az account show	Azure AD tenant GUID
Resource Group	Account config	Resource group containing the account
Resource URI	Account config	Full ARM resource ID
Account Name	Account config	Cosmos DB account name
Account Endpoint	Account config	Document endpoint URL
API Type	Account config	NoSQL, MongoDB, Cassandra, Gremlin, Table
Consistency Level	Account config	Strong, Bounded Staleness, Session, Eventual
Regions	Account config	List of read/write regions
Affected Database	Diagnosis	Specific database name if applicable
Affected Container	Diagnosis	Specific container name if applicable
Initial Triage Outcomes	Auto-analysis	What was checked and findings
Suggested Root Cause	AI analysis	Most likely cause based on evidence
Evidence Summary	Metrics/Logs	Key metrics and log entries
Remediation Attempted	Tracking	Actions already taken
Attachments	Auto-generated	Reference to exported diagnostic archive

Case Template Generation Workflow

# 1. Get Azure context
az account show -o json
  → subscription_id, subscription_name, tenant_id

# 2. Get account details
az cosmosdb show -n <account> -g <rg> -o json
  → resource_uri, endpoint, api_type, consistency, regions

# 3. Get database/container details
az cosmosdb sql database list -a <account> -g <rg>
az cosmosdb sql container list -a <account> -g <rg> -d <db>
  → databases, containers, throughput_settings

# 4. Run diagnosis
/cosmosdb diagnose <account>
  → issues, severity, root_cause, affected_resources

# 5. Get metrics
az monitor metrics list --resource <id> --metric "TotalRequests,TotalRequestUnits,ThrottledRequests"
  → problem_start_time, evidence

# 6. Generate case template markdown file
  → ~/Desktop/CosmosDB-Support-Case-<account>-<timestamp>.md

Case Template Output Format

# Azure Support Case - Cosmos DB Incident

## Case Summary
| Field | Value |
|-------|-------|
| **Title** | Cosmos DB High Throttling - myaccount |
| **Severity** | 🔴 Critical |
| **Problem Start Time** | 2026-01-25T17:30:00Z |
| **Current Status** | Ongoing |

## Azure Context
| Field | Value |
|-------|-------|
| **Subscription ID** | <SUBSCRIPTION_ID> |
| **Subscription Name** | MySubscription |
| **Tenant ID** | <tenant-guid> |
| **Resource Group** | cosmosdb-rg |
| **Resource URI** | /subscriptions/.../databaseAccounts/myaccount |

## Account Details
| Field | Value |
|-------|-------|
| **Account Name** | myaccount |
| **Endpoint** | https://myaccount.documents.azure.com:443/ |
| **API Type** | NoSQL (SQL) |
| **Consistency** | Session |
| **Write Region** | East US |
| **Read Regions** | East US, West US |

## Problem Description

Cosmos DB account `myaccount` is experiencing high request throttling (429 errors) affecting approximately 25% of requests.
Database: orders, Container: items

## Affected Resources

| Type | Name | Status |
|------|------|--------|
| Database | orders | Degraded |
| Container | items | High Throttling |
| Partition | /tenantId=acme-corp | Hot Partition |

## Initial Triage Outcomes

| Check | Result |
|-------|--------|
| Account State | ✅ Online |
| Network Connectivity | ✅ Accessible |
| Provisioned RU/s | ⚠️ 400 RU/s (low) |
| Throttle Rate | ❌ 25% requests |
| Latency P99 | ⚠️ 48ms (elevated) |
| Partition Balance | ❌ Skewed |

## Suggested Root Cause

**Hot partition on /tenantId = "acme-corp"**

One logical partition is consuming 80% of the provisioned throughput, causing other partitions to be throttled.

## Evidence Summary

| Timestamp | Metric | Value |
|-----------|--------|-------|
| 17:30:00 | Throttled Requests | 1,250 |
| 17:30:00 | Total Requests | 5,000 |
| 17:30:00 | Max RU/s per Partition | 320/400 |
| 17:35:00 | Throttled Requests | 1,480 |

## Recommended Fix

1. Increase throughput:
```bash
az cosmosdb sql container throughput update \
  -a myaccount -g cosmosdb-rg -d orders -n items \
  --throughput 4000

2. Or enable autoscale:

az cosmosdb sql container throughput migrate \
  -a myaccount -g cosmosdb-rg -d orders -n items \
  --throughput-type autoscale

---

Generated by CosmosDBOps v1.0.0 |

### Output Location

~/Desktop/CosmosDB-Support-Case--.md

---

## Log Export Feature

The `/cosmosdb logs --export` command creates a comprehensive ZIP archive containing all diagnostic data.

### Export Contents

| File | Description |
|------|-------------|
| `SUMMARY.md` | Issue summary with root cause and remediation |
| `account-config.json` | Full account configuration |
| `databases.json` | List of databases and settings |
| `containers.json` | Container configurations and throughput |
| `metrics-requests.json` | Request count and RU consumption |
| `metrics-latency.json` | Server-side latency metrics |
| `metrics-throttling.json` | Throttled requests metrics |
| `metrics-availability.json` | Availability percentage |
| `partition-stats.json` | Partition key statistics |
| `activity-log.json` | Recent management operations |
| `diagnostic-settings.json` | Diagnostic log configuration |

### Export Workflow

```yaml
# 1. Create timestamped directory
mkdir ~/Desktop/cosmosdb-logs-YYYY-MM-DD-HHMMSS/

# 2. Export account configuration
az cosmosdb show -n <account> -g <rg> -o json → account-config.json
az cosmosdb sql database list -a <account> -g <rg> -o json → databases.json
az cosmosdb sql container list -a <account> -g <rg> -d <db> -o json → containers.json

# 3. Export metrics
az monitor metrics list --resource <id> --metric "TotalRequests,TotalRequestUnits" → metrics-requests.json
az monitor metrics list --resource <id> --metric "ServerSideLatency,ServerSideLatencyDirect" → metrics-latency.json
az monitor metrics list --resource <id> --metric "TotalRequestUnits,ThrottledRequests" → metrics-throttling.json
az monitor metrics list --resource <id> --metric "ServiceAvailability" → metrics-availability.json

# 4. Export partition stats (if available)
az cosmosdb sql container retrieve-partition-throughput -a <account> -g <rg> -d <db> -n <container> → partition-stats.json

# 5. Export activity log
az monitor activity-log list --resource-id <id> → activity-log.json

# 6. Generate SUMMARY.md with issues and recommendations

# 7. Create ZIP archive
Compress-Archive → cosmosdb-logs-YYYY-MM-DD-HHMMSS.zip

Output Location

~/Desktop/cosmosdb-logs-YYYY-MM-DD-HHMMSS.zip

---

Log Aggregation

The /cosmosdb logs --aggregate command pulls data from multiple sources and correlates them by timestamp.

Data Sources

Source	Azure CLI / Tool	What it captures
Request Metrics	az monitor metrics list	TotalRequests, TotalRequestUnits
Throttling Metrics	az monitor metrics list	ThrottledRequests by status code
Latency Metrics	az monitor metrics list	ServerSideLatency, P50, P99
Availability	az monitor metrics list	ServiceAvailability
Activity Log	az monitor activity-log list	Account changes, failovers
Diagnostic Logs	Log Analytics KQL	DataPlaneRequests, ControlPlaneRequests

Aggregated Output Format

📊 LOG AGGREGATION: <account-name> (last 1h)

TIMELINE:
─────────────────────────────────────────────────────
14:20:00 [ACTIVITY]   Throughput updated: 400 → 800 RU/s
14:25:15 [METRIC]     Throttled requests spike: 0 → 450/min
14:25:20 [METRIC]     P99 latency: 12ms → 89ms
14:30:00 [ACTIVITY]   Container scaling operation started
14:32:00 [METRIC]     Throttling resolved
─────────────────────────────────────────────────────

🔴 ROOT CAUSE: <description>

WHAT: <resource>
WHY:  <evidence>
FIX:  <command>

---

MCP Tools Used

Action	Azure CLI Command
List accounts	az cosmosdb list -o table
Account details	az cosmosdb show -n X -g Y -o json
List databases (SQL)	az cosmosdb sql database list -a X -g Y
List containers (SQL)	az cosmosdb sql container list -a X -g Y -d Z
Container throughput	az cosmosdb sql container throughput show -a X -g Y -d Z -n C
Update throughput	az cosmosdb sql container throughput update -a X -g Y -d Z -n C --throughput N
Migrate to autoscale	az cosmosdb sql container throughput migrate -a X -g Y -d Z -n C --throughput-type autoscale
Request metrics	az monitor metrics list --resource <id> --metric TotalRequests,TotalRequestUnits
Throttle metrics	az monitor metrics list --resource <id> --metric ThrottledRequests
Latency metrics	az monitor metrics list --resource <id> --metric ServerSideLatency
Availability	az monitor metrics list --resource <id> --metric ServiceAvailability
Activity log	az monitor activity-log list --resource-id <id>
Manual failover	az cosmosdb failover-priority-change -n X -g Y --failover-policies regionName=priority
Network rules	az cosmosdb network-rule list -n X -g Y
Keys	az cosmosdb keys list -n X -g Y

---

Issue Detection

Automatic checks when running /cosmosdb status or /cosmosdb diagnose:

1. Account state (Online/Offline)
2. Throttling rate (429 errors in last hour)
3. Request latency (P99 > 100ms warning)
4. RU consumption vs provisioned
5. Partition balance (hot partition detection)
6. Region availability
7. Consistency configuration
8. Backup policy compliance
9. Network security (VNet, firewall rules)
10. Diagnostic settings enabled

---

Common Issues Detected

Issue	Detection Method	Auto-Fix Available
High throttling (429s)	ThrottledRequests metric	Scale RU/s
Hot partition	Partition throughput skew	Alert only
High latency	ServerSideLatency P99	Diagnose
Low availability	ServiceAvailability < 99.99%	Failover
No zone redundancy	Account config	Enable (recreate)
Single region	Account config	Add region
Network blocked	Connection test	Update firewall
Backup not configured	Backup policy check	Configure
Diagnostics disabled	Diagnostic settings	Enable
Consistency mismatch	App vs account config	Alert only

---

Output Format (When Issues Found)

🚨 ISSUE: <brief description>

WHAT: <account/database/container> in <state>
WHY:  <root cause from metrics/logs>
FIX:  <exact command to resolve>

---

MongoDB API Specific Commands

/cosmosdb mongo databases <account-name>

List MongoDB databases with throughput settings.

/cosmosdb mongo collections <account-name> <database>

List collections with sharding and index info.

---

Cassandra API Specific Commands

/cosmosdb cassandra keyspaces <account-name>

List Cassandra keyspaces with throughput.

/cosmosdb cassandra tables <account-name> <keyspace>

List tables with schema and throughput.

---

Key Metrics Reference

Metric	Description	Threshold
TotalRequests	Total request count	Baseline
TotalRequestUnits	Total RU consumed	< Provisioned
ThrottledRequests	429 error count	Should be 0
ServerSideLatency	P50/P99 latency	< 10ms P50, < 100ms P99
ServiceAvailability	Uptime percentage	> 99.99%
ProvisionedThroughput	Configured RU/s	Varies
AutoscaleMaxThroughput	Max autoscale RU/s	Varies
NormalizedRUConsumption	RU usage per partition	< 70%
DataUsage	Storage consumed	< limit
IndexUsage	Index storage	Optimize if high

---

Best Practices Checks

The skill validates configuration against CosmosDB best practices and references the cosmosdb-best-practices skill rules:

High Availability

• Zone redundancy enabled → global-zone-redundancy
• Multi-region configured → global-multi-region
• Automatic failover enabled → global-failover

Performance

• Appropriate partition key → partition-high-cardinality, partition-avoid-hotspots
• Indexing policy optimized → index-exclude-unused, index-composite
• Connection mode Direct (not Gateway) → sdk-connection-mode

Security

• Network isolation (VNet/Private Endpoint)
• Managed identity for access
• TLS 1.2+ enforced

Operations

• Diagnostic settings configured → monitoring-diagnostic-logs
• Backup policy appropriate
• Alerts configured → monitoring-throttling, monitoring-latency

---

cosmosdb-best-practices Rule Reference

Full mapping of CosmosDBOps detections to cosmosdb-best-practices rules at ~/.copilot/skills/cosmosdb-best-practices/rules/:

Data Modeling (CRITICAL)

Rule	File	When Referenced
model-embed-related	model-embed-related.md	High RU queries detected
model-avoid-2mb-limit	model-avoid-2mb-limit.md	Large document errors
model-denormalize-reads	model-denormalize-reads.md	High read latency

Partition Key Design (CRITICAL)

Rule	File	When Referenced
partition-high-cardinality	partition-high-cardinality.md	Hot partition detected
partition-avoid-hotspots	partition-avoid-hotspots.md	Hot partition detected
partition-hierarchical	partition-hierarchical.md	Partition skew detected
partition-20gb-limit	partition-20gb-limit.md	Large partition warning

Query Optimization (HIGH)

Rule	File	When Referenced
query-avoid-cross-partition	query-avoid-cross-partition.md	High RU queries
query-use-projections	query-use-projections.md	High RU queries
query-pagination	query-pagination.md	Timeout errors

SDK Best Practices (HIGH)

Rule	File	When Referenced
sdk-singleton-client	sdk-singleton-client.md	Connection issues
sdk-connection-mode	sdk-connection-mode.md	High latency
sdk-retry-429	sdk-retry-429.md	Throttling detected
sdk-diagnostics	sdk-diagnostics.md	Troubleshooting

Throughput & Scaling (MEDIUM)

Rule	File	When Referenced
throughput-autoscale	throughput-autoscale.md	Variable load throttling
throughput-burst	throughput-burst.md	Spike throttling
throughput-right-size	throughput-right-size.md	Over/under provisioned

Global Distribution (MEDIUM)

Rule	File	When Referenced
global-zone-redundancy	global-zone-redundancy.md	No zone redundancy
global-multi-region	global-multi-region.md	Single region
global-failover	global-failover.md	No auto-failover
global-consistency	global-consistency.md	Consistency issues

Monitoring & Diagnostics (LOW-MEDIUM)

Rule	File	When Referenced
monitoring-throttling	monitoring-throttling.md	429 errors detected
monitoring-latency	monitoring-latency.md	High P99 latency
monitoring-diagnostic-logs	monitoring-diagnostic-logs.md	No diagnostics
monitoring-azure-monitor	monitoring-azure-monitor.md	No alerts configured

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CosmosDBOps v1.1.0 | Powered by Azure MCP + cosmosdb-best-practices