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Collect logs, metrics, and traces through OpenTelemetry or cloud integrations, then investigate alert signals in a shared telemetry workspace.

Use Kubernetes-focused AI SRE agents to investigate incidents and act on existing operational context.

Manage WordPress redirects and inspect the broken URLs visitors still request.

Social planning, account reports and a multi-network inbox

Media and social monitoring organized around topics, keywords and mentions

Identity monitoring with restoration-assistance workflows

Screen addresses and follow their incoming and outgoing transfers

Create, publish, secure, and monitor REST, HTTP, and WebSocket APIs.

Automatic and web-timer work tracking with project timesheets, billing, and optional activity monitoring.

Mobile app observability for crashes, performance, user sessions, and product signals.

Investigate database health and query bottlenecks across a mixed database estate from one console.

Build serverless GraphQL and real-time Pub/Sub APIs over multiple data sources.

Track rankings and connect keyword research with website audits.

Track team hours across projects and turn activity into timesheets and reports.

Run websites and applications on a fully managed virtual server with root access.

Use Red Hat's managed OpenShift application platform on Google Cloud; AWS deployments are available in select instances.

Use a managed Prometheus-compatible backend for metrics from EKS and other Kubernetes clusters.

Collect and analyze network flows and telemetry to understand performance and activity across connected systems.

Capture commerce events and monitor their delivery to advertising and analytics destinations.

Research, draft and inspect search-focused content with integrated SEO and AI-citation tools.

Turn SEO findings into a prioritized task list with keyword and site-health monitoring.

Watch selected URLs for technical changes, broken redirects and important renewals.

Store and query Prometheus-compatible metrics with a single-node binary or a scalable cluster.

Run controlled chaos experiments and reliability checks against services before failures reach users.