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.
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
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
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
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
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
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