Google Cloud Optimization Recommendations
Here are some key recommendations to optimize your Google Cloud usage, focusing on cost efficiency, security, and performance. Implementing these can lead to significant improvements in your cloud infrastructure.
Remove Public IP Address from Compute Engine
Enhance security by removing public IP addresses from Compute Engine instances where not strictly necessary, leveraging private IPs and Cloud NAT for outbound connections.
Change Cloud Run Service to instance-based method
For predictable workloads, consider setting Cloud Run services to a minimum number of instances to reduce cold start times and potentially optimize costs over auto-scaling.
Remove redundant service (redis)
Identify and remove any Redis instances or other services that are no longer actively used or have become redundant, to minimize unnecessary expenditure.
Remove or delete unused Compute Engine Instance(s)
Regularly review and terminate any Compute Engine instances that are stopped or have not been utilized for an extended period.
Remove or delete unused Cloud SQL(s)
Similarly, identify and delete dormant or unneeded Cloud SQL instances to prevent accruing charges for unused database resources.
Enable Commitment Usage Discount for Compute Engine
Leverage Committed Use Discounts (CUDs) for Compute Engine to significantly reduce costs on predictable, long-running workloads.
Enable Commitment Usage Discount for Cloud SQL
Apply CUDs to Cloud SQL instances for substantial savings on database services with consistent usage.
Remove or delete unused Disk of Compute Engine
Detach and delete persistent disks that are no longer attached to any Compute Engine instances to avoid storage costs.
Load Balancer still used?
Verify if existing load balancers are actively serving traffic. Decommission any that are not in use to eliminate associated costs.
Our Four-Phase Tech Transformation
This is our strategic roadmap, guiding Larissa Aesthetic Center through a comprehensive digital evolution. Each phase builds upon the last, creating a robust and intelligent ecosystem for future growth and enhanced customer experiences.
Phase 1: Review and Strategy Development
Cost-Efficiency & Performance
Timeline: Q3 2025
Phase 2: Develop Super Apps
Seamless Customer Experience
Timeline: Q3-Q4 2025
Phase 3: Establish Data Governance
Data Trust & Compliance
Timeline: Q1-Q2 2026
Phase 4: Utilize Data for Agentic AI
Intelligent Automation
Timeline: Q3 2026 onwards
Phase 2.a: Develop Super Apps | Timeline: Q3 2025
Evolving Customer Expectations
Today's customers demand seamless, instant, and personalized digital experiences. Our journey is a direct response to this evolution, moving from traditional methods to a customer-centric digital model.
From Manual to Magical
The Challenge: Lengthy phone calls for bookings, manual appointment tracking, and generic communication led to friction and missed opportunities.
The Digital Solution: Our Super App provides instant booking, automated reminders, and a personalized portal for every customer, turning a process of minutes or hours into seconds.
Phase 2.b: Develop Super Apps | Timeline: Q3-Q4 2025
Operational Excellence
Streamlining our internal processes is key to providing better, faster service and empowering our staff. We are transforming complex, manual workflows into simple, automated systems.
Before: Manual Workflow
After: Automated Workflow
Phase 2.c: Develop Super Apps | Timeline: Q3-Q4 2025
Competitive Edge
Innovation is not just a goal; it's our strategy for leading the aesthetic industry. By embracing technology that others have not, we create a unique and superior value proposition.
| Feature | Larissa Aesthetic Center | Traditional Clinics |
|---|---|---|
| Super App | ✓ | ✗ |
| AI Recommendations | ✓ | ✗ |
| Personalized Campaigns | ✓ | ✗ |
| 24/7 Digital Access | ✓ | ✗ |
Phase 3: Establish Data Governance | Timeline: Q1-Q2 2026
Data-Driven Growth
Our goal is to move from guesswork to growth by unlocking insights from our data. Proper data governance is the key that enables reliable analytics and highly personalized marketing.
From Raw Data to Real Results
The Challenge: Disconnected and inconsistent data made it impossible to understand customer behavior or measure marketing effectiveness accurately.
The Digital Solution: A unified data platform provides a 360° customer view, allowing us to launch targeted, personalized campaigns and measure their impact precisely, leading to significant growth.
Phase 4: Utilize Data for Agentic AI | Timeline: Q3 2026 onwards
The Power of AI
Artificial Intelligence is our force multiplier. We are using it to revolutionize customer engagement and empower our internal teams with intelligent, automated support systems.
Standard Support
Limited to business hours, reliant on staff availability, with potential for inconsistent answers.
Avg. Query Resolution Time
Agentic AI Support
24/7 availability, instant responses, and consistent, accurate information for both customers and staff.
Avg. Query Resolution Time