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technical guidance on optimizing or reconfiguring Sera Neon resources

Deepak Kumar 145 Reputation points
2026-06-03T12:12:05.1133333+00:00

I need technical guidance on optimizing or reconfiguring these sera neon resources as our billing is too high and I want to remove those which are not in use.

Cost Management
Cost Management

A Microsoft offering that enables tracking of cloud usage and expenditures for Azure and other cloud providers.


Answer accepted by question author

Lakshma Reddy Vattijonnala 490 Reputation points Microsoft External Staff Moderator
2026-06-05T12:15:16.9666667+00:00

Hi @Deepak Kumar As we discussed during our call, you have removed the resources that you no longer need.

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  1. AI answer

    2026-06-03T12:12:29.52+00:00

    To optimize or reconfigure Sera Neon (Azure) resources and reduce billing, focus on identifying unused or underutilized components, then right-size or remove them.

    1. Inventory all resources
      • Take an inventory of all resources in the subscription and resource groups associated with Sera Neon.
      • Include compute (VMs, App Service plans, Functions hosting plans), storage accounts, IP addresses, firewalls, snapshots, and test/demo environments.
    2. Identify unused and orphaned resources
      • Look for:
        • Demo builds, proof-of-concept environments, temporary testing/triage environments that are no longer needed.
        • Orphaned resources such as storage accounts, public IPs, or firewalls left behind after deleting a primary resource.
      • Remove:
        • Long-term idle resources.
        • Features or environments that were decommissioned but not fully cleaned up.
    3. Remove idle components safely
      • Before deleting, back up any data that might be needed later (for example, export storage data or configuration).
      • Delete idle compute, storage, and networking resources that are not required.
      • For disaster recovery or test environments that are permanently idle, consider switching to a cold (active-off) approach where only backups and templates are stored.
    4. Optimize underutilized resources
      • Monitor CPU, memory, and storage utilization for Sera Neon workloads.
      • Right-size:
        • Reduce the size or SKU of compute resources (for example, smaller VM sizes or lower-tier plans) where utilization is consistently low.
        • Adjust storage tiers if high-performance tiers are used but not required.
      • Enable automatic scaling where applicable so resources scale out only when needed and scale in during low usage. Set maximum scaling limits to avoid unexpected cost spikes.
    5. Align usage with billing increments
      • Understand how each resource is billed (per hour, per GB, per request, etc.).
      • Adjust workloads so that usage aligns with these billing increments, for example:
        • Consolidate workloads to fewer instances if they are billed per instance.
        • Schedule non-critical jobs to run in consolidated windows to maximize utilization of already-paid time blocks.
    6. Optimize disaster recovery design
      • If Sera Neon uses a warm (active-passive) disaster recovery setup, consider:
        • Hot (active-active) to distribute load and use smaller/cheaper instances in both regions.
        • Cold (active-off) or active-redeploy where only backups and images are maintained, reducing ongoing compute costs.
      • Ensure any change still meets recovery time objectives.
    7. Use Azure cost tools and governance
      • Use Microsoft Cost Management and Cost analysis views to identify the most expensive resources and prioritize optimization.
      • Review cost optimization guidance for SaaS workloads and apply:
        • Sharing resources among customers where isolation requirements allow.
        • Adjusting uptime and size to match business hours and demand.
        • Enabling Azure Advisor to get automated cost optimization recommendations.
    8. Ongoing review
      • Regularly review Sera Neon’s architecture and components to remove legacy or rarely used features.
      • Continuously monitor utilization and costs, and adjust resource allocation as usage patterns change.

    References:

    AI-generated content may be incorrect. Read our transparency notes for more information.

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