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CoveScreen · Service

Cloud & Infrastructure

Secure, scalable cloud and infrastructure solutions.

Architecture, migration and management for the infrastructure that keeps you online and resilient.

Under the hood

A real-time view of how this is engineered, run and kept honest in production.

Implementation stack

  • Terraform for infrastructure as code across AWS and Azure

  • Kubernetes with GitOps delivery (ArgoCD / Flux)

  • CI/CD pipelines (GitHub Actions) for build, test and deploy

  • Prometheus + Grafana for metrics, logs and dashboards

  • Secret manager for credentials with rotation

  • Object storage + managed databases with automated backups

  • Service mesh / ingress for traffic control and TLS

Live handling loop

  1. Codify

    Environment is declared as code in reviewable Terraform modules.

  2. Plan

    Every change is diffed and reviewed before anything is applied.

  3. Apply

    GitOps reconciles the running cluster to the declared state.

  4. Verify

    Health checks, smoke tests and synthetic probes confirm the release.

  5. Operate

    Monitoring, on-call and cost telemetry run continuously.

Production integrity

  • Immutable infrastructure — servers are replaced, never hand-tweaked.

  • Auto-healing clusters and multi-AZ placement reduce single points of failure.

  • Automated backups verified by restore drills, not merely scheduled.

  • Blue/green and canary deploys with automatic rollback thresholds.

Real-world use

A representative deployment of this service in practice.

Who it was built for

A SaaS startup at capacity ceiling on a manually-run server (anonymised).

The problem

The monolith was fine at launch but every growth push meant frantic manual server work; traffic spikes caused per-minute outage windows, and nobody could reproduce the environment locally.

The deployment

CoveScreen codified the estate in Terraform, moved workloads onto managed Kubernetes with GitOps, and wired the deployment pipeline through GitHub Actions.

The mechanism

Application replicas scale on CPU and request signals; the ingress layer spreads load across availability zones; a failed health check rolls a pod set back automatically; the whole environment is reproducible from one repository.

Operational insight

Benchmark targets this is engineered to hold. Stats are framed as targets and SLAs — not fabricated outcomes.

99.95%
Infrastructure availability target
~30 min
Disaster-recovery RTO target after failover drills
100%
Environment declared as infrastructure-as-code

Discuss your cloud & infrastructure needs

Tell us about your goals and we will help you understand the right next step — with no obligation.

Cloud & Infrastructure | CoveScreen