Azure Monitoring
Log Analytics, alerts, and dashboards for your Azure environment. Proactive monitoring instead of reactive firefighting.
Your Azure Environment Is Flying Blind
Most mid-market Azure environments run without structured monitoring. Outages are noticed only when users complain. Costs rise because nobody watches resource consumption. Compliance evidence is missing because no logs are archived.
Azure Monitor provides everything: platform metrics (free), Log Analytics, alerts with dynamic thresholds, workbooks. But without structured configuration, most features remain deactivated. 84% of organizations struggle with cloud costs without systematic monitoring.
ACTIVITIES IN DETAIL
DELIVERABLES
Set up Log Analytics Workspace with optimized pricing and retention policy
Configure diagnostic settings for core resources (VMs, storage, app services, networking)
Set up metric alerts with dynamic thresholds and log search alerts
Configure action groups: email, SMS, webhook notifications
Create monitoring dashboards and workbooks
Activate VM Insights for performance and dependency analysis
Azure Policy for consistent agent deployment and diagnostic settings
Cost governance: daily cap, tiered logging, commitment tier evaluation
Set up Log Analytics Workspace with optimized pricing and retention policy
Configure diagnostic settings for core resources (VMs, storage, app services, networking)
Set up metric alerts with dynamic thresholds and log search alerts
Configure action groups: email, SMS, webhook notifications
Create monitoring dashboards and workbooks
Activate VM Insights for performance and dependency analysis
Azure Policy for consistent agent deployment and diagnostic settings
Cost governance: daily cap, tiered logging, commitment tier evaluation
Log Analytics Workspace: Central workspace with optimized pricing and retention
Alert Ruleset: Metric alerts, log alerts, and activity log alerts with action groups
Monitoring Dashboards: Workbooks for infrastructure overview and VM performance
Governance Policies: Azure Policies for agent deployment and diagnostic settings
Cost Governance: Documented recommendation for pricing, daily cap, and log tiering
Complete Project Documentation: All configuration decisions documented without gaps
3 steps. From start to finished project
How a typical Microsoft project runs with DAMALO
STEP 1
Choose a blueprint and analyze your environment
Select a proven blueprint. AI agents pull your licenses, current config, and compliance needs into the plan. No generic advice.
STEP 2
Receive your plan and start implementation
Review the plan. AI agents draft architecture, sequence tasks, and map dependencies to Microsoft best practices. Tailored to your tenant.
STEP 3
Guided implementation through to completion
Execute step by step. AI agents provide PowerShell scripts, admin center deep-links, and walkthroughs. Every change auto-documented.
The result: A completed Microsoft project in 1-2 weeks. Documented. Audit-ready. Understood by your team. Adjustable at any time. No change requests. No follow-up engagements.
Next steps after Azure Monitoring
A cleanly configured tenant is the foundation. These blueprints build directly on it
