What Does Modern IT Operations Involve? A Complete Guide to Roles & Evolution

Internet operations focus on service‑centered stability, security, and efficiency to ensure 24/7 high‑quality service for users.

Operations staff strengthen the stability of underlying infrastructure, conduct daily inspections, optimize architecture to prevent common failures, improve disaster‑recovery through multi‑data‑center integration, and use monitoring and log analysis to quickly detect and respond to incidents, reducing downtime and meeting availability targets.

Security responsibilities include network boundary definition, ACL management, traffic analysis, DDoS defense, OS and open‑source vulnerability scanning, application‑level XSS and SQL injection protection, code scanning, permission audits, intrusion detection, and risk control to safeguard business and user data.

Efficiency measures involve IO optimization, image compression, and tool platforms to accelerate product delivery and internal workflow.

Operations Work Classification

As businesses grow, operation roles become more specialized. The diagram below illustrates the typical classification.

System Operations

IDC Data Center Construction

Collect business requirements, estimate data‑center scale, evaluate network backbone, space, external lines, on‑site support, and select appropriate data‑center facilities.

Network Construction

Design and plan production network architecture, including data‑center, transport, CDN networks, and perform daily network tuning.

LVS Load Balancing and SNAT Construction

LVS serves as the traffic entry point, building load‑balancing clusters for high performance and availability; SNAT provides public network access with clustered deployment for high performance and reliability.

CDN Planning and Construction

Handle third‑party CDN selection and scheduling, plan new CDN nodes, ensure system stability and high efficiency, analyze file characteristics for optimal acceleration strategies, and perform routine CDN fault troubleshooting.

Server Selection, Delivery and Maintenance

Test and select servers, reduce power consumption, increase rack density, promote new hardware, diagnose hardware faults, and develop health‑check tools.

OS and Kernel Selection and Maintenance

Select and customize OS and kernel, manage patches, maintain a YUM repository, handle OS‑related incidents, and provide targeted optimization for different services.

Asset Management

Record and manage physical resources such as data centers, networks, cabinets, servers, ACLs, IPs, and provide APIs for automation.

Basic Service Construction

Design highly available DNS, NTP, SYSLOG services to avoid single points of failure.

Application Operations

Design Review

Participate in product design reviews to ensure services meet high‑availability requirements.

Service Management

Define upgrade and rollback plans, monitor service health, set stability metrics, improve monitoring accuracy, and respond promptly to incidents.

Resource Management

Manage server assets, track resource status, and allocate appropriate configurations based on service needs.

Routine Inspection

Define inspection points, conduct regular checks, investigate and eliminate hidden risks.

Plan Management

Set monitoring thresholds, create and update incident response plans, and conduct regular drills.

Data Backup

Establish backup strategies, ensure data availability and integrity, and perform regular recovery tests.

Database Operations

Design Review

Participate in design reviews to propose storage schemes, schema design, index strategy, and SQL standards for high availability and performance.

Capacity Planning

Understand database capacity limits, identify bottlenecks, and optimize or scale as needed.

Data Backup and Disaster Recovery

Define backup and DR strategies, conduct regular recovery tests to ensure data usability.

Database Monitoring

Implement health and performance monitoring to detect issues early.

Database Security

Build an account system, restrict permissions, manage offline backups to prevent data leaks.

High Availability and Performance Optimization

Design failover solutions, continuously optimize storage, hardware, filesystem, and SQL without increasing costs.

Automation System Construction

Develop automated deployment, scaling, sharding, permission management, backup, SQL review, and failover functionalities.

Operations R&D

Operations Platform

Record and manage services and their relationships, automate tasks such as machine management, restart, rename, initialization, domain management, traffic switching, and emergency plan execution.

Monitoring System

Design and develop monitoring for servers, network devices, and business metrics, improving alert timeliness, accuracy, and intelligence.

Automated Deployment System

Develop the system, provide data and APIs, manage permissions, and integrate with cloud platforms to improve deployment speed and resource utilization.

Operations Security

Security Policy Establishment

Define practical security policies based on internal processes.

Security Training

Provide targeted security training and assessments, establishing security responsibility across the organization.

Risk Assessment

Conduct black‑box and white‑box testing, evaluate risks for network, servers, applications, and user data.

Security Construction

Strengthen weak links, deploy security devices, update patches, defend against viruses, scan source code, and apply encryption, anonymization, or data deletion techniques.

Security Compliance

Handle compliance requirements such as payment licensing.

Emergency Response

Establish a security alert system, collect third‑party issues, coordinate remediation, assess impact, and trace causes.

Evolution of Operations Work

Early stage: small teams built data centers, networks, and servers with minimal online service changes.

Tool batch stage: scripts enabled bulk operations, but quality and scalability remained limited.

Platform management stage: built an operations platform to standardize processes, enforce checkpoints, and improve efficiency.

Self‑scheduling stage: abstracted services into containers, enabling automatic scaling, integration with monitoring, backup, and other systems, shifting work toward proactive fault handling.

The ultimate goal is full automation to reduce manual effort, lower knowledge transfer costs, and move from reactive to proactive, system‑driven resilience.

How to Succeed in Operations

Deeply understand technology stacks and tools such as operating systems, networking protocols, databases, and cloud computing.

Learn DevOps concepts like automation, CI/CD, and build a personal knowledge base.

Develop teamwork and collaboration with development, testing, and product teams.

Continuously improve communication, problem‑solving, learning, and leadership skills.