Site Reliability Engineering (SRE)

At DDAI Tech, we embed Site Reliability Engineering (SRE) principles into your delivery culture — enabling predictable performance, automated recovery, and measurable reliability at scale.
Our SRE framework blends DevOps automation, observability, incident management, and AIOps intelligence to ensure systems remain resilient, performant, and cost-efficient.

We focus on balancing innovation velocity with system stability, aligning every release with defined SLIs, SLOs, and SLAs — helping enterprises operate confidently in complex, cloud-native, and distributed environments.

Our Core Offerings

Design reliability into every stage of delivery.

We help enterprises establish SRE practices tailored to their technology and business maturity.
We ensure:

Definition of SLI, SLO, and SLA metrics for measurable reliability
Error budget policies for controlled release velocity
Reliability roadmap and governance model creation
Resilience design patterns for distributed architectures
Integration of reliability checkpoints into CI/CD pipelines

Faster detection. Smarter response. Zero downtime.

We establish automated and intelligent incident response workflows that minimize Mean Time to Detect (MTTD) and Mean Time to Resolve (MTTR).
We ensure:

Automated alerting and escalation using PagerDuty, Opsgenie, ServiceNow
AI-assisted root cause analysis and incident correlation
Post-incident review & blameless retrospectives
Auto-remediation and self-healing playbooks
Continuous improvement with trend analysis and RCA dashboards

Predict, prevent, and sustain reliability at scale.

We integrate performance, scalability, and capacity engineering into your SRE practice.
We ensure:

Capacity modeling and forecasting using AI-based analytics
Load and stress testing integrated with SLO monitoring
Failure mode and chaos testing for resilience validation
Integration with Dynatrace, Datadog, AppDynamics, Grafana
Early anomaly detection using predictive monitoring

Measure what matters — make reliability visible.

Observability is the backbone of SRE. We design and implement full-stack visibility to track, alert, and act before incidents impact end users.
We ensure:

Centralized metrics, logs, and traces (ELK, OpenTelemetry, Prometheus)
SLO dashboards with live burn-rate monitoring
Correlation across APM, infrastructure, and user experience data
Automated trend analysis and performance anomaly prediction
Business KPIs linked to technical reliability metrics

From reactive to proactive reliability.

We infuse AI and automation into SRE processes to accelerate detection, reduce noise, and trigger intelligent remediation.
We ensure:

Noise reduction and alert deduplication using ML models
Predictive scaling and auto-healing with AIOps tools
Event correlation and dynamic topology mapping
Integration with Moogsoft, BigPanda, Dynatrace Davis AI
Closed-loop remediation pipelines integrated with DevOps

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Site Reliability Engineering (SRE)

Our Core Offerings

Design reliability into every stage of delivery.

Faster detection. Smarter response. Zero downtime.

Predict, prevent, and sustain reliability at scale.

Measure what matters — make reliability visible.

From reactive to proactive reliability.

Flexible engagement — reliability guaranteed.

Why DDAI Tech?

Why DDAI Tech?

Experienced SRE and Reliability Architects with multi-cloud expertise

Proven frameworks for SLI/SLO-driven operations

Deep integration with DevOps, Observability, and AIOps ecosystems

24x7 Reliability Monitoring & Incident Response Models

Measurable reduction in downtime, noise, and cost of failure

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