Mastering Modern Ops: 100 Essential Knowledge Points for 2025

In the fast‑changing IT era, operations engineers must ensure system stability and continuously learn new technologies to meet evolving business needs. This article outlines 100 key ops knowledge points covering system management, networking, storage, automation, cloud‑native, monitoring, security, databases, virtualization, and incident response.

1. Operating System Fundamentals

Linux OS basics: architecture, file systems, and process management

Windows Server administration: configuration and techniques

System boot process: BIOS/UEFI → bootloader → kernel → init

User and permission control: user/group management, sudo, ACLs

File system management: ext4, XFS, NTFS features, mounting, quotas

Process and service management: systemd, sysvinit, cron, at

Package management: rpm, dpkg, yum, dnf and repository setup

System performance analysis: top, htop, vmstat, sar usage

Logging systems: rsyslog, journald configuration and use

System performance tuning: CPU, memory, disk I/O optimization

Multi‑system operations: managing mixed Windows/Linux environments

2. Communication and Networking

Network protocol basics: TCP three‑way handshake, four‑way termination, HTTP/S, DNS

IP address management: IPv4/IPv6 planning, subnetting, CIDR

Network device configuration: switches, routers, OSPF/BGP, firewall policies

Network monitoring tools: ping, traceroute, nmap, Wireshark

Network troubleshooting: packet loss, latency, MTU issues

Load balancing: Nginx, HAProxy, F5 configuration and optimization

VPN and encrypted communication: OpenVPN, IPSec, WireGuard

Network security devices: IDS and IPS deployment and use

SDN and NFV: software‑defined networking and network function virtualization architectures

Network automation: Ansible, Netmiko for bulk device configuration

3. Storage Technologies and Data Protection

Storage media selection: HDD, SSD, NVMe performance comparison

RAID technologies: RAID 0/1/5/10 principles, configuration, recovery

LVM management: logical volume creation, expansion, snapshots

Distributed storage: Ceph, GlusterFS, MinIO architecture and deployment

NAS/SAN storage: NFS, iSCSI, Fibre Channel protocols and use cases

Backup strategies: full, incremental, differential backups and scheduling

Backup tools: rsync, tar, Borg, Veeam backup and restore solutions

Disaster recovery: RTO/RPO definitions, cold/hot/active‑active architectures

Data encryption: LUKS, eCryptfs disk encryption and key management

Cloud storage services: AWS S3, Alibaba Cloud OSS usage

4. Automation and Scripting

Shell scripting basics: Bash writing and debugging

Text processing tools: grep, awk, sed for advanced analysis

Python for ops: scripting automation tasks

Ansible: playbook creation and module usage

Terraform: cloud resource orchestration and state management

CI/CD pipelines: Jenkins, GitLab CI automated build and deployment

API automation: Python requests for RESTful API task management

Configuration management tools: Puppet, Chef, SaltStack comparison and use

Scheduled task management: cron and systemd‑timer automation

5. Container and Cloud‑Native Architecture

Docker basics: container creation, execution, management

Core concepts: Pods, Services, Deployments, Ingress

Helm: Kubernetes package manager usage

Container orchestration: Kubernetes cluster deployment (kubeadm/kops) and node management

Storage in K8s: PV, PVC, StorageClass dynamic provisioning

Service mesh: Istio, Linkerd traffic management and monitoring

Serverless: Knative, FaaS (e.g., AWS Lambda) scenarios

Network model: CNI plugins (Calico, Flannel) and NetworkPolicy

Hybrid cloud management: multi‑cloud Kubernetes deployments (EKS, AKS, GKE)

GitOps practices: ArgoCD, Flux for declarative continuous delivery

6. Monitoring and Alerting

Zabbix: installation, configuration, usage

Prometheus: deployment and metric collection

Grafana: dashboard creation and data visualization

Alert rule configuration: setting thresholds and notification strategies

Server and infrastructure monitoring with Zabbix, Prometheus

Application monitoring: JMX for Java, New Relic for web apps

Database monitoring: MySQL performance metrics via monitoring tools

Network monitoring: SNMP‑based device status and traffic checks

Time‑series databases: InfluxDB selection and storage model

Alert notification channels: email, SMS, Slack, DingTalk, etc.

7. Security and Compliance

System hardening: disabling unnecessary services, applying patches

Firewall configuration: iptables, firewalld usage

Security modules: SELinux, AppArmor configuration

Data encryption: SSL/TLS certificates, file and database encryption

IDS/IPS deployment and configuration

Security auditing: log analysis to identify threats

Compliance standards: PCI DSS, HIPAA, GDPR

Vulnerability scanning and management: Nessus, OpenVAS

Security awareness training for staff

Comprehensive security policy development

8. Database Management

MySQL: installation, configuration, backup, recovery

PostgreSQL: usage and optimization techniques

NoSQL databases: MongoDB, Redis configuration and management

SQL optimization: improving query efficiency

Database indexing: concepts and performance impact

Replication and clustering: high availability and load balancing

Backup strategies: ensuring data safety

Database migration across environments or versions

Performance monitoring: using Prometheus, Grafana

Database security: access controls, encrypted connections

9. Virtualization and Cloud Computing

Virtualization basics: VMware, KVM principles

VM management: creation, configuration, snapshots, cloning

Cloud service platforms: AWS, Azure, GCP core operations

IaaS services: managing VMs, storage, networking

PaaS services: integrating databases, message queues

SaaS services: selecting CRM, ERP solutions

Hybrid and multi‑cloud management: unified oversight and optimization

Container‑VM interoperability in cloud environments

Cloud cost optimization: resource efficiency

Cloud security strategies: ensuring data protection and compliance

10. Incident Investigation and Response

Fault investigation process: systematic steps and workflow

Log analysis: locating issues via system and application logs

Performance analysis tools: perf, sysstat for diagnosing bottlenecks

Emergency response plan: preparing rapid reaction procedures

Post‑mortem reviews: learning from incidents and continuous improvement

Knowledge base creation: sharing experiences and techniques

Automated recovery: scripts and tools for quick restoration

Third‑party support: leveraging cloud provider assistance

Team collaboration: communication and coordination during complex incidents

Continuous learning: staying updated with industry trends