Every signal, every service, one health view.

Bring metrics, logs, traces, and uptime checks from every cloud, cluster, and datacenter into a single monitoring workspace — with cost, capacity, and reliability side by side.

Total Monthly Spend

₹ 2.48M

↓ 18% vs last month

Feb 15 - Mar 27

Anomaly

+32%

Detected

Waste

₹ 2.4M

Potential savings

⚠️

Vendor

3

Renewals

INTEGRATIONS

Every observability tool, one monitoring pipeline

Datadog
Datadog
Prometheus
Prometheus
Grafana
Grafana
Splunk
Splunk
Kubernetes
Kubernetes
AWS
AWS
Azure
Azure
Google Cloud
Google Cloud
Datadog
Datadog
Prometheus
Prometheus
Grafana
Grafana
Splunk
Splunk
Kubernetes
Kubernetes
AWS
AWS
Azure
Azure
Google Cloud
Google Cloud
Datadog
Datadog
Prometheus
Prometheus
Grafana
Grafana
Splunk
Splunk
Kubernetes
Kubernetes
AWS
AWS
Azure
Azure
Google Cloud
Google Cloud
Datadog
Datadog
Prometheus
Prometheus
Grafana
Grafana
Splunk
Splunk
Kubernetes
Kubernetes
AWS
AWS
Azure
Azure
Google Cloud
Google Cloud

Everything you need to monitor modern infrastructure.

From metric ingestion to SLOs, alerts, and HITL runbooks — the full monitoring workflow, built into one platform.

Unified metrics

Ingest CloudWatch, Azure Monitor, GCP Monitoring, and Prometheus into one time-series backbone.

Anomaly detected

Logs & traces

Correlate logs and distributed traces with metrics so a spike in latency links straight to the offending span.

Uptime & synthetics

Blackbox probes and synthetic checks verify user-facing endpoints from multiple regions, 24/7.

SLOs & error budgets

Define latency and availability SLOs per service and burn error budgets against real production traffic.

Alerts & on-call

Route alerts to the right team with severity, ownership, and runbooks — no more paging the wrong on-call.

72%
Budget Utilized
Actual$2.43M
Remaining$937K
JanMarAprMayJun

Anomaly detection

Smart baselines per service and host flag latency, error, and saturation anomalies before customers notice.

Projected

$3.67M

Next 3 months

Kubernetes health

Node, workload, and namespace-level views for CPU, memory, restarts, and cost per workload.

Your value journey

COLLECT

Metrics, logs, traces, and uptime checks stream in from every cloud, cluster, and datacenter into one pipeline.

CORRELATE

One service model links metrics, traces, deployments, and cost — so any alert points at a real workload, owner, and blast radius.

ALERT

SLO burn, anomaly detection, and threshold rules page the right team with severity, runbook, and recent changes attached.

Action Centre — Resolve

RESOLVE

HITL runbooks turn a triaged incident into an approved action — rollback, scale, or patch — with a full audit trail.

Built for every stakeholder

  • One monitoring workspace across clouds, clusters, and legacy datacenters
  • SLOs and error budgets tracked per service with burn alerts
  • Alert routing by ownership, severity, and environment — no noisy paging
  • HITL runbooks for scale, rollback, and remediation with full audit history

Frequently Asked Questions

Everything you need to know about Digitomics and how we help organizations optimize their technology ROI.

Native connectors for Datadog, Prometheus, Grafana, Splunk, CloudWatch, Azure Monitor, and GCP Monitoring — plus OpenTelemetry ingestion for logs, metrics, and traces.

Bring every health signal into one workspace.

Connect your clouds, clusters, and observability tools, define SLOs, and start resolving incidents with cost context in minutes.