Heavy Duty Website Architecture

 

A reliable, high‑availability website requires a mix of good architecture, proactive monitoring, capacity planning, and fast incident response. Below is a practical, prioritized article that diagnoses the three specific symptoms you listed — not responding host, exhausted storage, and slow user response — and gives concrete prevention and remediation steps you can implement immediately and over time. There are several causes of the problems:

  • Not responding host: usually caused by CPU/memory exhaustion, process crashes, network or OS limits, or overloaded firewall/NAT devices.
  • Exhausted storage: caused by unbounded logs, backups, user uploads, database growth, or misconfigured retention.
  • Slow response for users: caused by overloaded app servers, contention in databases, inefficient queries, cold caches, network latency, or blocking synchronous work.

High level strategy to solve these issues as follow: 

 

  • Make outages observable and automated (monitoring + alerting + runbooks).
  • Move from single points of failure to distributed, redundant components.
  • Separate concerns: scale stateless web tier independently from stateful storage and background processing.
  • Protect core services with graceful degradation and backpressure.

But you need to make sure that your organization already have: 

  • Logging and monitoring system
  • Implementation of load balancer 
  • automatic backup and restore
  • having availability sets 
  • real sizing for the application 
  • having incident response 
immediate Triage Steps (first 0–60 minutes)
  • Run health checks
    • Verify service health endpoints and orchestrator status (k8s pods, system services, supervisor).
    • Check host resource usage: CPU, memory, disk I/O, disk fullness, socket counts.
  • Isolate the problem
    • If one host is unresponsive, remove it from the load balancer and route traffic to healthy hosts.
    • If many hosts show the same symptom, suspect shared dependency (DB, cache, auth, network).
  • Free emergency space
    • Trim logs older than retention policy, rotate and compress logs, clear temporary directories, and delete orphaned large files.
    • If using cloud, attach temporary block storage or increase volume size and resize filesystem.
  • Apply short‑term rate limiting
    • Apply global request throttles or activate a feature flag to reduce heavy background jobs or nonessential endpoints.
  • Communicate
    • Post status on status page and notify internal stakeholders with current mitigation actions.
last but not least we need to prepare the architecture and the system better
  • Implement centralized monitoring and alerts for disk, CPU, memory, latency, and error rates.
  • Move user uploads and logs to scalable object storage; enforce lifecycle and quotas.
  • Make web tier stateless and enable autoscaling with health checks.
  • Add a CDN for static assets and aggressive caching rules.
  • Add request throttling/rate limiting and circuit breakers for heavy endpoints.
  • Run profiling to eliminate top 10 slow queries and CPU hotspots.
  • Create runbooks and hold incident response drills for the team.

 

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