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Unified Observability Platform for Modern IT Operations

Summarize with AI what Motadata does:
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Hybrid Infrastructure Monitoring

Cloud Native & Service Intelligence

Gain a unified view spanning AWS, Azure, M365, and Kubernetes clusters while continuously monitoring critical services for always-on availability.

Key Highlights

Cloud Clarity

Motadata ObserveOps unifies AWS, Azure, M365, and Kubernetes visibility with continuous monitoring of critical services like DNS, SSL, and REST APIs, correlated with on-premises infrastructure in one platform.

Multi-Cloud Platform Monitoring

Observe cloud infrastructure across all major providers, eliminating coverage gaps.

  • Native integrations with AWS, Azure, and Microsoft 365.

  • Compute, network, and storage telemetry from cloud-native services.

  • Cloud resource inventory with live health and utilization tracking.

  • Cross-cloud performance comparison and availability dashboards.

Kubernetes & Container Observability

Monitor containerized workloads with the granularity cloud-native teams need.

  • Full observability covering pods, nodes, namespaces, controllers, and services.

  • Workload health, resource consumption, and scheduling behavior.

  • Cluster-level and node-level performance tracking.

  • Container lifecycle events correlated with performance signals.

Critical Service Availability Monitoring

Ensure critical services are always reachable and performing.

  • Continuous monitoring for DNS, REST APIs, email, ports, and ping checks.

  • SSL certificate expiry tracking and validity monitoring.

  • Response time and availability SLAs per critical service endpoint.

  • Automated alerting on service degradation or failure.

Unified Hybrid Infrastructure Dashboards

Bring on-premises and cloud workloads into a unified operational view.

  • Combined dashboards for physical, virtual, and cloud-native environments.

  • Cross-environment health comparison and anomaly visualization.

  • Drill-down from hybrid overview to individual cloud service or container.

  • Role-based dashboard views for operations, engineering, and leadership.

Auto-Discovery for Cloud Resources

Keep cloud inventory current as resources spin up and down.

  • Automatic discovery of new cloud instances, services, and containers.

  • Dynamic inventory updates, no manual configuration required.

  • Cloud resource tagging and grouping for operational context.

  • Discovery spanning multi-account and multi-subscription cloud deployments.

SLA-Aligned Cloud Service Tracking

Measure cloud and service performance against business commitments.

  • Cloud platform and service availability mapping to business SLOs.

  • Performance tracking against defined response time and uptime thresholds.

  • SLA breach prediction and early warning for cloud-dependent services.

  • Compliance reporting for cloud infrastructure availability commitments.

Intelligence

From Fragmented Cloud Data to Unified Intelligence

Cloud-native environments generate telemetry throughout dozens of services, clusters, and accounts, with formats, frequencies, and schemas that differ by provider and platform. Lacking a unified model, monitoring becomes a collection of disconnected tools: one for AWS, one for Kubernetes, one for service availability, none of them correlated.

Motadata ObserveOps ingests cloud telemetry through native integrations and normalizes it into Motastore's unified data model, alongside on-premises signals. The result is an observability layer that knows both where services run and how they perform, whether in a data center, a cloud region, or a Kubernetes cluster.

How It Works

Unified Cloud-Native Intelligence Architecture

01

Discover

Discover cloud resources and container workloads via native integrations and APIs.

02

Ingest

Ingest telemetry from cloud platforms, Kubernetes, and service endpoints.

03

Normalize

Normalize cloud and on-prem data into Motastore's unified model.

04

Correlate

Correlate cloud service health with underlying infrastructure state.

05

Baseline

Apply AI-driven baselines for anomaly and availability degradation detection.

06

Visualize

Visualize unified hybrid infrastructure through correlated dashboards.

One platform for any workload, regardless of where it runs.

Role-Based Value

Precision for Every Role

For CIOs / CTOs

  • Get authoritative visibility throughout the hybrid estate, cloud and on-premises, in one operational picture.

  • Get authoritative visibility throughout the hybrid estate, cloud and on-premises, in one operational picture.

For IT Directors / Managers

  • Eliminate the tool sprawl of monitoring AWS, Azure, M365, and Kubernetes independently by consolidating cloud and on-premises visibility into one operational platform.

  • Eliminate the tool sprawl of monitoring AWS, Azure, M365, and Kubernetes independently by consolidating cloud and on-premises visibility into one operational platform.

For NOC Engineers / SREs

  • Detect cloud service degradations, container restarts, and API failures instantly.

  • Detect cloud service degradations, container restarts, and API failures instantly.

For DevOps / Platform Teams

  • Monitor the Kubernetes clusters and cloud services your applications depend on.

  • Monitor the Kubernetes clusters and cloud services your applications depend on.

From Visibility to Control

From Cloud Complexity to Operational Clarity

Cross-Platform Observability

Unified visibility spanning cloud platforms, containers, and on-premises infrastructure.

Continuous Cloud Watch

Faster detection of cloud service degradations through continuous monitoring.

Cloud-Backed SLA Assurance

Improved SLA adherence for cloud-dependent business services.

Single Platform Consolidation

Reduced cloud tool sprawl through a unified observability platform.

Cloud Spend Intelligence

Stronger capacity and cost decisions through cloud utilization intelligence.

Explore More

Continue Exploring Hybrid Infrastructure Monitoring

Unified Compute Visibility

Monitor physical, virtual, and hyper-converged compute with unified health and utilization intelligence.

Deep Application & Data Insight

Correlate application performance and database behavior with infrastructure signals for full-stack root cause clarity.

Capacity Foresight & Resource Optimization

Predict utilization trends for cloud and on-premises resources and optimize investments with AI-driven forecasting.

Autonomous Operations & Predictive Analytics

Automate detection, diagnosis, and remediation throughout the full hybrid and cloud-native infrastructure stack.

One Platform for AWS, Azure, GCP, and On-Prem

Motadata ObserveOps auto-discovers cloud services and brings multi-cloud telemetry into one correlated observability plane.

Motadata ObserveOps Hybrid Infrastructure Monitoring. Unified cloud monitoring that eliminates tool sprawl.