AIOps Support & AI-Driven IT Operations

Intelligent IT operations powered by AI and machine learning — anomaly detection, alert correlation, automated incident response, and predictive observability, 24/7.

Talk to an AIOps Expert
4.8/5
Customer Rating
24/7
Support Coverage
60%
Alert Noise Reduction
10+
AIOps Platforms

AIOps Support — What We Do

devopssupport.in provides specialized AIOps support to help engineering and operations teams move beyond manual monitoring. We implement and operate AI-powered observability platforms that automatically detect anomalies, correlate alerts, suppress noise, and trigger automated runbooks — reducing mean time to detect (MTTD) and mean time to resolve (MTTR) across your entire infrastructure.

Our AIOps engineers work with industry-leading tools like Dynatrace, Splunk ITSI, Datadog, PagerDuty, Prometheus/Grafana, and the ELK stack to build intelligent operations workflows that scale with your infrastructure.

Intelligent Monitoring Platforms

Dynatrace (Davis AI)
Datadog (Watchdog AI)
Splunk ITSI & MLTK
New Relic AI

Observability Stack

Prometheus & Grafana
OpenTelemetry (OTel)
Elastic APM & ELK Stack
Jaeger & Zipkin (Tracing)

Incident & Alert Management

PagerDuty (AIOps features)
OpsGenie & VictorOps
ServiceNow ITOM
xMatters & BigPanda

Automation & Runbooks

Ansible Runbooks
AWS Systems Manager
Rundeck & StackStorm
Slack / Teams Auto-Response

Who We Support

  • Ops and SRE teams overwhelmed by alert noise who need ML-based alert correlation and suppression to focus on real incidents.
  • Platform engineering teams building internal observability platforms using OpenTelemetry, Prometheus, and Grafana at scale.
  • Enterprises running Dynatrace, Splunk, or Datadog who need help tuning AI detection thresholds, building dashboards, and automating remediation.
  • Cloud-native teams instrumenting microservices and Kubernetes workloads with distributed tracing, metrics, and structured logging.

What's Included in Our AIOps Support

  • Alert Optimization: Audit and tune alert rules across Prometheus, Datadog, and Dynatrace to eliminate false positives and alert fatigue.
  • Anomaly Detection Setup: Configure ML-based baseline detection for CPU, latency, error rates, and custom business metrics.
  • Distributed Tracing: Instrument services with OpenTelemetry, deploy Jaeger or Tempo, and build trace-based dashboards for request flow visibility.
  • Log Intelligence: Set up log aggregation pipelines (Fluentd/Logstash → Elasticsearch/Loki), create log anomaly detection rules, and build operational dashboards.
  • Automated Remediation: Build runbook automation that triggers on specific alerts — auto-restarts, scaling actions, cache purges, and Slack notifications.
  • Incident Correlation: Configure event correlation rules in BigPanda, Splunk ITSI, or PagerDuty to cluster related alerts into a single actionable incident.
  • SLO/SLI Monitoring: Define service-level objectives in Datadog, Grafana, or Dynatrace and set up error budget burn rate alerts.

AIOps Platform Implementation

We help teams stand up AIOps platforms from scratch or improve existing observability stacks:

  • Full Prometheus + Grafana + Alertmanager stack deployment on Kubernetes using kube-prometheus-stack Helm chart.
  • OpenTelemetry Collector deployment for unified metrics, traces, and logs across polyglot microservices.
  • Dynatrace OneAgent rollout across cloud VMs, Kubernetes nodes, and containerized applications.
  • Splunk Enterprise / Splunk Cloud setup with ITSI module for service health scoring and event analytics.
  • PagerDuty AIOps configuration — event intelligence, intelligent alert grouping, and on-call schedule optimization.

How to Get AIOps Support

  • Email contact@devopssupport.in describing your current monitoring stack and the gaps you're experiencing.
  • Call or WhatsApp: +91 7004 215 841 (India) or +1 (469) 756-6329 (USA).
  • Use the contact form to schedule a free observability audit — we'll review your alerting and monitoring setup and identify quick wins.