Full control of releases, errors, and operational health in Kubernetes.
Arguz connects metrics, releases, failures, and configuration into one live view. Detect incidents, explain root cause, and accelerate response with real context.
Minutes
to reach RCA
One console
for DevOps and SRE
Live signals
events, releases, errors
Overview of critical signals
Revisions, deploys per bucket, and active errors in real time.
Deployment timeline
Filter by project, cluster, and namespace to find critical releases.
Errors by release
CrashLoopBackOff, PodFailed, and scheduling events by severity.
Root cause explained
Change context, impact, and mitigation suggestions.
Everything in your cluster, organized by purpose.
Arguz groups signals into clear modules so operations, engineering, and product teams can make decisions without jumping between tools.
Overview & Signals
KPIs per release, daily buckets, and overall deployment health.
Deploy & Release Changes
Versioned history with filters by project, cluster, and namespace.
Errors by release
Severity, status, and direct links to revision details.
Error history
Trends, mitigated errors, and time-window comparisons.
Alert Policies
Rules with thresholds, delays, and notification channels.
Event Notifications
Real-time notifications for critical deployment events.
Resource Catalogs
Clusters, deployments, services, and images with live status.
Scaling Rules
Scheduled rules and manual execution with audit trail.
Admin Console
Centralized management for teams, roles, access, and environments.
A complete timeline of deployments and changes.
Filter by project, cluster, and namespace. Review each release with impact context, images deployed, and rollout state.
Smart filters
Reduce noise with cluster and namespace selection.
Revision details
Access manifests, annotations, and metadata in one click.
GCP integration
Direct links to workloads, logs, and YAML.
Releases Overview
Last 7 daysarguz-platform-arguz-admin-app-front
#58 · 23:19 GMT-3arguz-platform-arguz-scaling-rules-api
#61 · 21:08 GMT-3arguz-platform-arguz-api
#69 · 19:08 GMT-3Release Errors
Live alertsmain-cart
PodFailed · 11:09 PMservice-orders-shipment
Unschedulable · 11:07 PMoffer-service
Unschedulable · 11:01 PMGuided investigation with real context.
Arguz links errors, logs, and releases to build the full incident story. The AI assistant suggests likely causes and immediate actions.
Revision details
Events, manifests, and change history in the same view.
Comparative history
Previous errors and mitigation trends.
AI Root Cause
Assisted diagnosis with evidence and confidence levels.
Alerts, notifications, and scaling rules in one workflow.
Define alert policies, manage notification channels, and automate scaling with scheduled rules. Everything audited from the console.
Alert Policies
Thresholds, delays, and error types with granular control.
Event Notifications
Configurable channels per event and deployment.
Scaling Rules
Scheduling, manual execution, and impact tracking.
Admin Console
Team, role, access, and environment management.
Operational inventory of clusters, deployments, and services.
Visualize resource status by cluster, namespaces, and projects. Connect critical elements with releases and images to speed up troubleshooting.
Clusters & health
Active status, last update, and quick actions.
Deployments & services
Clear relationships with images and namespaces.
Images
Full visibility into production versions.
Clusters
22 activearguz-cluster
8 namespaces · 9 deploymentsarguz-commerce-staging
2 namespaces · 14 deploymentsarguz-search-staging
1 namespace · 1 deploymentConnect Arguz in minutes. Resolve incidents in hours.
Arguz installs a lightweight connector to capture events, version releases, and correlate errors without additional instrumentation.
1. Create your workspace
Define teams, environments, and permissions from the console.
2. Connect clusters
Install the connector and enable secure event ingestion.
3. Activate alerts
Configure policies, notifications, and scaling rules.
4. Resolve with RCA
Get full context with AI Assistant and release timelines.
Let’s schedule a demo tailored to your stack.
Tell us about your Kubernetes infrastructure and observability needs. We will respond with an implementation and onboarding plan.