Cloud reliability is built on boring routines. Use this checklist as a quarterly health review with your ops team and record the results in a shared doc so trends become visible. Each control should have an owner, a verification date and the evidence link (screenshot, log export, ticket ID).

Where the answer is “no”, capture the remediation task, estimate blast radius and assign a due date. Treat it like a safety inspection—consistent follow-through matters more than perfection on day one.

Backups & restore drills

Automate daily backups, keep at least one off-site/immutable copy, and test restores every month. Track Recovery Point (RPO) and Recovery Time (RTO) in a dashboard so business owners understand the real exposure. Include config backups for IaC repos, Kubernetes manifests and SaaS tools that would be painful to recreate by hand.

Document the exact steps (commands, credentials, expected output) for restoring each workload. During drills, time every stage—from alert to confirmation—so you know if the promised RTO is realistic.

Security hygiene

Enforce MFA, rotate keys, patch base images and revoke access for inactive users. Centralise logs and feed them to an alerting pipeline with retention that matches compliance needs. Document who owns each environment so response isn’t delayed during an incident, and review IAM policies quarterly to catch privilege creep.

  • Automate certificate renewals and set alerts 30 days before expiry.
  • Scan container images before deployment and block unknown registries.
  • Run gamedays where someone intentionally misconfigures a security group to check detection speed.

Observability & SLOs

Monitor uptime, latency, error rate and saturation (CPU, DB connections, queue depth). Agree on service level objectives with product teams, then alert on error-budget burn rather than isolated spikes. Layer synthetic checks for customer-critical flows so you catch regressions before real traffic does.

Every alert should link to the related dashboard, runbook and owner. The combination of metrics + logs + traces is what closes the loop during outages.

Cost and capacity discipline

Reliability erodes when capacity surprises surface mid-quarter. Tag workloads by environment and business unit, set budgets with alerts at 50/75/90 percent, and review idle resources weekly. For high-growth services, document a scale-up playbook: which instance types to upgrade, when to shard databases, how to warm standby regions.

Runbooks and rehearsals

For every critical service, publish a one-page runbook: symptoms, probable causes, mitigation steps and escalation path. Store it next to the dashboard so responders never hunt for information. Rehearse at least one scenario per quarter—tabletop exercises surface gaps before real incidents do and keep muscle memory fresh for new hires.

Vendors and SaaS dependencies

List every third-party API, auth provider and payment gateway your service depends on. Capture their SLAs, support channels, rate limits and the fallback plan if they fail. Subscribing to vendor status feeds and routing them into your incident channel can shave minutes off response time.

People and communication

Reliability work is social. Keep on-call rosters current, rotate shadow shifts for new engineers and give incident commanders authority to pause releases. After each incident, run a blameless review focused on learning: what detection failed, what manual step can be automated, which guardrail would prevent recurrence. Publish the learnings to the entire org so reliability becomes a company habit, not just an ops concern.

Teams that keep this hygiene drumbeat rarely scramble. Instead of firefighting, they focus on new features and value-added automation—because they trust the foundation they stand on.