Solution: Unified Management of Multi-Cloud Resources with Microtica
Microtica offers a specialized solution to the common pain points of resource fragmentation and cost invisibility for organizations that need to use multiple cloud services simultaneously, such as AWS, GCP, Azure, and others:
- Centralized Monitoring DashboardConnect Cloud Account: Once all cloud accounts are associated with the Connect Cloud Account function, the system displays core metrics such as CPU/memory utilization, network traffic, and so on, for each cloud platform in a unified interface.
- Cross-Cloud Cost Analysis: On the Cost Optimization page, the AI merges and analyzes different cloud bills, showing the distribution of costs with visual charts (e.g., identifying AWS EC2 overprovisioning or Azure Blob Storage cold data).
- Automated Optimization StrategiesSetting Sleep Schedules to automatically suspend test environment resources during non-working hours (e.g., 8 p.m. to 8 a.m. each night) has been measured to reduce idle costs by 30-60%.
- Standardization of templatesCreate reusable Deployment Templates to ensure that different cloud environments use the same specification of instance types and storage configurations, avoiding hidden costs due to specification differences.
Implementation Recommendation: Prioritize the pilot in the development environment and observe the cost changes for 2 weeks before rolling out to the production environment. At the same time, use the Optimization Reports generated by the system as a basis for decision-making.
This answer comes from the articleMicrotica: Simplifying Cloud Deployment and AI Analytics to Optimize Cloud ResourcesThe
May not be reproduced without permission:AI productivity tools " How to solve the problem of disorganized resource management and uncontrollable cost in multi-cloud environments?
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