Managed Operations, Observability & SLA

24×7 L1–L3 operations, full-stack observability, incident response, patching, capacity reviews and monthly service reporting.

06 / Reduce operational load

Overview

Cloudlit operates the platforms it builds, and platforms built by others, under a defined service level with clear ownership. L1 to L3 engineers cover the full stack from user-facing issues to architectural change, observability turns raw telemetry into actionable insight, and every month the client receives a report in their own governance format.

What Cloudlit delivers

24×7 monitoring and incident response

Round-the-clock L1–L3 support with defined response and resolution targets, on-call runbooks, escalation policies and post-incident reviews.

Full-stack observability

Metrics, logs and traces with Prometheus, Grafana, OpenTelemetry, Jaeger, ELK or Loki, correlated across services from infrastructure to user experience.

Intelligent alerting

Alert rules tuned on historical incident data with severity levels, deduplication and PagerDuty, OpsGenie or Alertmanager routing, so every alert is actionable.

Patch, vulnerability and change management

Scheduled patch cycles, critical patches within 72 hours, and every change approved, tested and reversible.

Drift detection and infrastructure hygiene

Continuous configuration drift detection, automated remediation and scheduled reviews against well-architected frameworks.

Event streaming and messaging operations

Kafka and RabbitMQ platforms operated with partition strategies, consumer lag monitoring, dead-letter handling and caching layers.

Capacity and cost reviews

Monthly utilisation, right-sizing and forecast reviews so capacity and spend stay predictable.

Backup, DR operations and service reporting

Backup verification, DR rehearsal and a monthly report covering availability, incidents, changes, capacity and patch status.

Outcomes

  • Availability, response and recovery targets reported every month against the operating agreement
  • Lower mean time to detect and resolve through correlated metrics, logs and traces
  • Less alert fatigue: every alert that fires leads to a defined response
  • Internal teams freed from operational load without losing visibility or control
  • A documented handover path so the client can take operations in-house when ready

Why Cloudlit for this

Engineers who built the platform

Operations are run by the same team that designs and builds, so incidents are handled by people who understand the architecture.

Service targets in writing

99.9% availability, 15-minute P1 response, 4-hour RTO and 15-minute RPO are contracted and reported, not aspirational.

Observability, not just monitoring

Metrics, logs and traces are correlated so teams can ask why, not only whether, a system is down.

Handover by design

Runbooks, documentation and staged transfer mean your team can operate the platform without dependency on Cloudlit.

How an engagement runs

  1. Operational assessment and instrumentation of the stack
  2. Dashboards, alert thresholds, runbooks and escalation design
  3. Transition to 24×7 operations with agreed service targets
  4. Continuous review of coverage, alert quality and cost

Frequently asked questions

What is the difference between monitoring and observability?

Monitoring tells you whether a system is up. Observability tells you why, by combining metrics, logs and distributed traces so you can ask any question about system state. Cloudlit implements both together.

Which monitoring tools does Cloudlit work with?

Prometheus, Grafana, Datadog, New Relic, Dynatrace, PagerDuty, OpsGenie, the ELK stack, Loki, Jaeger and OpenTelemetry. We recommend the combination that fits your existing stack, team and budget.

How does Cloudlit reduce alert fatigue?

We audit existing alert rules, remove redundant or noisy alerts, add severity levels and deduplication, and tune thresholds on historical incident data so that every alert is actionable.

Can Cloudlit take over a platform it did not build?

Yes. An operational assessment identifies gaps in governance, observability and lifecycle, which are remediated before the platform moves under the service level agreement.

Bring us the Managed Support problem that matters most.

Cloudlit brings architecture, platform engineering, security and operations together so enterprise teams can move from complexity to a controlled production environment.