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//Enterprise SaaS Platform

SLO-driven — reliability culture established

Incident response was reactive and leadership had no line of sight into operational risk. An SRE program built on SLOs, automated dashboards, and embedded observability changed both.

Lower

incident resolution time (MTTR)

Higher

platform availability

Real-time

operational risk visibility for leadership

Stronger

reliability culture & execution maturity

The challenge

The platform team operated on incident-driven adrenaline: no formal service-level objectives, dashboards assembled ad hoc, and postmortems that produced notes rather than change.

Leadership wanted real-time visibility into system health and operational risk — not another monthly slide deck.

What we did

  1. 01

    SLO framework design

    We defined SLIs and SLOs per critical user journey with realistic error budgets, giving teams a shared, defensible definition of 'healthy'.

  2. 02

    Automated reliability dashboards

    Error budgets, burn rates, and golden signals were automated into Grafana and Datadog views spanning technical KPIs and business metrics.

  3. 03

    Observability embedded end-to-end

    Metrics, logs, and traces were correlated across the distributed platform, cutting the time from alert to root cause.

  4. 04

    Incident operating model

    On-call design, escalation paths, and blameless postmortems turned reliability from heroics into process — and postmortem actions started shipping.

DDAI Tech helped us establish a mature Site Reliability Engineering practice — designing service-level objectives, automating reliability dashboards, and embedding observability across our distributed platform. The engagement significantly elevated our reliability culture and execution maturity.

Bracken Darrell

Director of Platform Engineering · Enterprise SaaS Platform

Engagement snapshot

PrometheusGrafanaDatadogPagerDutyServiceNow

Bring us your slowest process

We will tell you honestly whether we can move your number — and by how much.