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1.9 — CLOUD & DEVOPS

Monitoring & Observability

Application and infrastructure monitoring that gives engineering teams full visibility of what is running, how it is performing and when something goes wrong — before users report it. Uptime monitoring, performance metrics, error tracking, log aggregation and automated alerting to the right person at the right time.

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1.9.1

Application performance monitoring

Application performance monitoring (APM) that tracks response times, throughput, database query performance and external API latency — giving teams the visibility to identify and fix performance bottlenecks before they become outages.

  • Response time tracking per endpoint: p50, p95, p99 percentiles
  • Throughput monitoring: requests per second by endpoint
  • Database query performance: slow queries identified and quantified
  • External API call latency and error rate
  • Apdex score: percentage of requests meeting performance threshold
  • Trace visualisation: full request lifecycle across services
  • APM agent deployment: New Relic, Datadog or open-source (Sentry, Jaeger)
  • Performance regression detection between deployments
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1.9.2

Error & exception alerting

Error and exception tracking that captures every unhandled exception in the application — with full stack traces, user context, affected environment and the ability to see if an error is new, recurring or resolved — so engineers can prioritise and fix issues quickly.

  • Error capture with full stack trace and context
  • Sentry integration for web, mobile and server-side applications
  • Error grouping: same errors grouped regardless of user or time
  • New error alert: immediate notification for first occurrence
  • Error frequency alert: spikes above normal error rate
  • User impact: how many users affected per error
  • Release tracking: errors attributed to the deployment that introduced them
  • Error resolution workflow: assign, investigate, mark resolved
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1.9.3

Uptime & availability monitoring

External uptime monitoring that checks the application from outside the infrastructure — simulating what a user experiences — with immediate alerting when a service becomes unavailable and historical availability data for SLA reporting.

  • HTTP uptime checks from external monitoring nodes
  • Check frequency: every 1 minute for critical services
  • Multi-region checks: verify availability from EU locations
  • SSL certificate expiry monitoring with advance warning
  • Page load time monitoring alongside availability
  • Immediate alert on status change: down within 2 minutes
  • Alert channels: email, Slack, PagerDuty, SMS
  • Uptime report: availability % per period for SLA reporting
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1.9.4

Log aggregation & analysis

Centralised log aggregation that collects logs from all services and infrastructure into one searchable system — so engineers can correlate events across services, investigate incidents with the full log context and set alerts based on log patterns.

  • Log shipping from all services to central log store
  • Structured logging format (JSON) for reliable parsing
  • Log store: Elasticsearch, Loki or managed (Datadog, Papertrail)
  • Full-text log search across all services and time periods
  • Log-based alert: alert when error pattern appears in logs
  • Log retention policy: balance cost and investigation capability
  • Audit log separation for compliance and security logs
  • Kibana or Grafana dashboard for log visualisation
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1.9.5

Automated backup & restore

Automated backup configuration for databases, file stores and configuration — with tested restore procedures, point-in-time recovery capability and geographically redundant backup storage. A backup that has never been tested is not a backup; restore testing is part of the setup.

  • Database backup automation: daily full and continuous WAL or binlog
  • Point-in-time recovery capability for databases
  • File store backup: S3 versioning or scheduled snapshot
  • Cross-region backup replication for disaster recovery
  • Backup retention schedule: daily 7 days, weekly 4 weeks, monthly 12 months
  • Restore procedure documentation and runbook
  • Monthly restore test with validation of restored data
  • Backup monitoring: alert if backup job fails
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1.9.6

SSL, firewall & access hardening

Security hardening of the cloud infrastructure — TLS certificate management, firewall rules, SSH access controls, intrusion detection and CIS benchmark compliance — reducing the attack surface and ensuring the infrastructure meets the security baseline expected by enterprise customers and audit frameworks.

  • TLS certificate automation: Let's Encrypt with auto-renewal
  • TLS configuration: TLS 1.2 minimum, strong cipher suites, HSTS
  • Firewall rules: close all ports except required, source-limited
  • SSH hardening: key-only authentication, no root login, fail2ban
  • VPN or bastion host for administrative access to private resources
  • Intrusion detection: CloudTrail / audit log anomaly alerting
  • CIS benchmark compliance scanning
  • Patch management: automated OS security patch application
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