End-to-End Management · Proactive Alerting · Cloud-Native Adaptation · Cost Optimization

System Operations Services are designed for enterprises "lacking dedicated IT teams and needing to ensure long-term stability of core systems (servers, databases, business software)", covering on-prem servers, cloud platforms (AWS/Azure/GCP), and hybrid architectures. Unlike reactive fault repair, we offer end-to-end services: real-time monitoring → proactive optimization → fault resolution → regular review. Using automated tools to monitor system status (CPU/memory/disk), we proactively warn of risks (storage shortages, performance drops), resolve 90% of common issues (database lag, service errors) within 2 hours, and support cloud-native adaptation. Reducing operational costs by 40%, it solves pain points like "frequent system failures, low efficiency, and high costs".

1. Comprehensive Monitoring & Proactive Alerting

• Real-Time Monitoring System:
• Infrastructure Monitoring: Cover on-prem/cloud servers, network devices (routers/switches), and storage, collecting metrics like CPU usage (threshold ≤85%), memory (≤80%), and bandwidth;
• Application & Data Monitoring: Track business system (ERP/CRM) response time (≤3s), database connections, and API success rates, with dual alerts via Slack/email for anomalies;
• Proactive Risk Warning: Weekly System Health Report identifies risks (server hardware aging, database index fragmentation) and proposes optimizations (hardware replacement, index rebuild) to prevent failures.

2. Daily Operations & Fault Resolution

• Routine Maintenance:
• Regular Checks: Weekly system inspections (log cleanup, OS patch updates, data backups with on-prem+cloud redundancy, RPO ≤15 mins);
• Performance Optimization: Optimize server resource allocation, database parameters (connection pool size), and app caching to boost response speed by 30% on average;
• Rapid Fault Handling: Follow "10-min response-2-hr resolution-24-hr review" process. For failures (server outage, database downtime, app errors), resolve via remote support or on-site assistance (4-hr arrival in major global cities), with Fault Analysis Report for critical issues.

3. Cloud-Native Adaptation & Cost Optimization

• Cloud-Native Operations: Specialized team manages cloud platforms (AWS EC2, Azure VMs, GCP Compute Engine), leveraging cloud-native tools (AWS CloudWatch, Azure Monitor) for auto-scaling and resource optimization;
• Cost Reduction: Evaluate IT resource utilization (e.g., merge servers with <30% CPU usage) and recommend hybrid "cloud+on-prem" architectures to cut hardware costs. Automate tasks (batch deployment scripts) to reduce labor costs by 40% annually;
• Documentation & Training: Deliver SysOps Manual and quarterly training (e.g., "cloud database maintenance", "self-troubleshooting") to enhance in-house teams’ capabilities.

4. Target Scenarios

• 1. Manufacturing On-Prem Server Ops: E.g., "Auto parts factory production system cluster" — 24/7 monitoring, regular database optimization to avoid production disruptions from data loss or lag;
• 2. Global SaaS Cloud Ops: E.g., "Cross-border SaaS platform on AWS" — multi-region monitoring, auto-scaling for traffic spikes, and GDPR-compliant data backups to ensure 99.99% uptime;
• 3. SME Hybrid Cloud Ops: E.g., "E-commerce startup on Azure+on-prem" — optimize cloud resource allocation (scale down off-peak) and automate backups to cut cloud costs by 35%;
• 4. Enterprise Multi-System Ops: E.g., "Multinational ERP+CRM+HR system ops" — unified monitoring for cross-system data sync, ensuring smooth inter-department collaboration across time zones.