Azure Data Archiving
Automated data archiving with lifecycle policies and WORM compliance. >95% cheaper than hot storage.
Your Data Sits on the Most Expensive Shelf
Old files, completed projects, compliance archives — everything sits in expensive storage tiers because nobody configured lifecycle policies. Retention requirements (GoBD, GDPR, HGB) are met manually or simply ignored. Tape backups are dying, but an alternative is missing.
Azure Archive Storage is >95% cheaper than hot storage. Lifecycle management policies automate tiering. Immutable storage (WORM) secures regulated data in an audit-proof way. All available — but rarely configured.
ACTIVITIES IN DETAIL
DELIVERABLES
Data classification: assess access frequency and retention requirements per data type
Define storage tier strategy: Hot → Cool → Cold → Archive with clear criteria
Configure lifecycle management policies for automatic tiering
Set up immutable storage (WORM) for regulated data
Document rehydration strategy: SLAs, processes, responsibilities
Configure cost monitoring and alerts for unexpected egress/rehydration
Data classification: assess access frequency and retention requirements per data type
Define storage tier strategy: Hot → Cool → Cold → Archive with clear criteria
Configure lifecycle management policies for automatic tiering
Set up immutable storage (WORM) for regulated data
Document rehydration strategy: SLAs, processes, responsibilities
Configure cost monitoring and alerts for unexpected egress/rehydration
Data Classification: Documented assignment per data type to storage tier and retention
Lifecycle Policies: Automated tier transitions configured and tested
WORM Configuration: Immutable storage for regulated data — compliance-ready
Rehydration Runbook: Documented process for data access from archive tier
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 Data Archiving
A cleanly configured tenant is the foundation. These blueprints build directly on it
