DEPLOYIQ PLATFORM

One operational graph.
Every relevant signal.

DeployIQ connects code, build, deployment, workload, infrastructure, observability, incident, remediation, and verification into a shared operating context.

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DEPLOYMENT GRAPH

Follow change into production.

Repository, commit, build, artifact, deployment, workload, infrastructure, metrics, and incidents are connected so teams can see how a software change became runtime behavior.

01Commit and pull-request context
02Pipeline stages and failed jobs
03Artifacts and deployment revisions
04Service health and related incidents

CLOUD + KUBERNETES

Understand the environment beneath the service.

DeployIQ reasons across AWS services, Kubernetes clusters, containers, Helm releases, infrastructure-as-code, and configuration drift.

01Pod, deployment, replica, ingress, and service health
02CrashLoopBackOff and OOMKilled analysis
03Terraform, CloudFormation, manifests, and Helm
04IAM, networking, databases, queues, storage, and compute context

OBSERVABILITY INTELLIGENCE

Turn telemetry into relationships.

DeployIQ searches, summarizes, correlates, clusters, and links logs to deployments and incidents. Metrics and traces are interpreted in the same operational context rather than shown as isolated charts.

01Error rate, latency, throughput, saturation, and availability
02Trace bottlenecks and failing dependencies
03Log clusters and anomaly context
04Deployment-aware event timelines

OPTIMIZATION

Improve what runs after recovery.

DeployIQ can identify oversized compute, idle resources, excessive replicas, unused storage, inefficient autoscaling, orphaned resources, and performance bottlenecks. Recommendations include the operational context and expected impact.

NEXT STEP

Explore DeployIQ with your architecture in mind.

A demo can focus on the services, cloud environments, pipelines, and policies your team actually operates.