Infrastructure & Server Automation Platform
A control layer for server setup, deploys, health checks, and alerts — so production is not a collection of one-off SSH sessions.
- My contribution
- I wrote the playbooks, hardening baselines, backup verification, and health-check agents.
- Technology
- Linux, Python, Golang, Bash, Ansible & Terraform, Docker & Nginx
- Links
- Not publicly available
01Problem
Hand-tuned servers drift. Firewalls diverge. Patches slip. Incidents take too long because nobody knows the last good state.
Approach. I automated provisioning, Nginx/TLS baselines, backup checks, and health alerts with repeatable scripts and a small ops API.
02Requirements
- Automate baseline Linux hardening, SSH access controls, and firewall rules.
- Standardize Nginx reverse proxy, SSL/TLS renewal, and container deployment workflows.
- Continuously monitor CPU, memory, disk, service uptime, and backup completion.
- Log every administrative action for operational accountability.
03Architecture
A central control service dispatches signed automation jobs to worker processes that execute idempotent playbooks over restricted SSH/API channels. Lightweight telemetry agents on target Linux hosts report system metrics and service states back to a monitoring collector, triggering alerts when thresholds or backup checks fail.
- Management Dashboard
- Secure API
- Automation Workers
- Target Servers
- Monitoring & Logs
04Technology choices
- Linux, Bash & Ansible
- Idempotent, agentless configuration management across heterogeneous Linux hosts.
- Python & Golang
- Python for orchestration APIs and automation logic; Golang for lightweight concurrent health probes.
- Docker & Nginx
- Consistent application packaging and battle-tested TLS termination and reverse proxying.
05Implementation
- Authored reusable hardening and deployment roles for web, API, and database nodes.
- Built automated backup runners with checksum verification and off-host retention.
- Configured centralized log forwarding and threshold-based incident notifications.
06Security considerations
- Key-based SSH authentication, bastion/VPN network boundaries, and least-privilege sudo policies.
- Automated security updates and fail2ban / firewall rate limiting on public interfaces.
- Scoped secrets injection so credentials are never hardcoded in repositories.
07Challenges
- Ensuring automation scripts remain idempotent when interrupted mid-execution by network faults.
- Minimizing alert fatigue while catching genuine disk, certificate, or service degradation early.
08Results and lessons learned
New servers start from a known baseline, drift drops, and alerts land in one place.
Used across production server administration workflows. Treating infrastructure changes as versioned, repeatable code eliminates the most common causes of unplanned downtime.