Getting Started
CloudWatcher feature catalog
Every major CloudWatcher product area, feature, workflow, and developer-facing surface in one technical catalog.
Use this as the master map before jumping into a setup guide. It covers cloud operations, FinOps, AI observability, simulations, live infrastructure, resize migration, logs, reports, admin surfaces, and integrations.
Product feature groups
- Authentication, signup verification, login, password reset, account recovery, profile, two-factor authentication, team management, roles, and security event history.
- Cloud setup for AWS IAM role, Azure service principal, GCP service account, GitHub OAuth, AI provider keys, Slack, reports, and notification channels.
- Dashboard, Watchdog, service dashboards, cloud inventory, metrics, logs, billing, alerts, security findings, recommendations, and provider switching.
- FinOps features including billing summaries, spend trends, cost forecasting, rightsizing, orphaned resource detection, commitment guidance, savings workflows, and actual-savings tracking.
- AI Observability with ingest keys, traces, request detail, spans, token analytics, cost analytics, model analytics, errors, alerts, anomaly detection, prompt insights, routing recommendations, playground, and evaluations.
- AI quality workflows including feedback capture, score review, session review, user review, and trace-focused investigation.
- Security and compliance-support features including IAM key audit, retention settings, personal-data search, erasure or redaction support, data residency reporting, action audit trail, and authentication audit trail.
- Simulation and deployment features including visual canvas, service nodes, Terraform generation, cost estimation, credential validation, live logs, deployment history, destroy workflow, and GitHub application bootstrap.
- Live Infrastructure features including inventory sync, resource detail, service-group canvases, metrics, status, and supported live actions.
- Resize Migration features including source discovery, target-size selection, access configuration, workload classification, task timeline, validation, cutover, source preservation, and migration reports.
- Operations features including actions history, VPS log agents, log summaries, error patterns, VPS alarms, email reports, Slack alerts, and troubleshooting guides.
Website and app pages
- Landing page: explains CloudWatcher, cloud cost optimization, multicloud monitoring, AI observability, infrastructure simulations, integrations, savings, and product entry points.
- Signup and verification: account creation, signup verification, login handoff, and protected access after verification.
- Login and 2FA: email/password login, two-factor verification, resend flow, recovery, forgot password, reset password, and first-login password reset.
- Dashboard: consolidated provider overview for spend, health, resources, alerts, and operational status.
- Service dashboards: provider-aware detail views for compute, storage, database, network, security, cost, AI insights, health, and alerts.
- Watchdog: fleet-level operational status, active resources, security findings, optimization signals, and investigation starting points.
- Recommendations: cost, reliability, security, performance, cloud, and AI recommendations with action or simulation follow-up where supported.
- Cost Savings: optimization opportunities, estimated savings, validation, completed savings records, and realized savings tracking.
- Actions: action planning, previews, approvals, execution status, rollback attempts, audit trail, savings verification, and registry information.
- AI Observability Overview: request volume, tokens, cost, latency, errors, providers, models, environments, and recent activity.
- AI Traces: trace list, trace grouping, request detail, spans, metadata, tokens, latency, cost, and failure inspection.
- AI Cost: daily cost trends, provider split, model split, token cost, and cost-drivers.
- AI Models: model usage, token volume, latency, errors, cost, and provider grouping.
- AI Errors: grouped rate limits, timeouts, client errors, server errors, failed requests, and root-cause signals.
- AI Alerts: cost, token, latency, error, anomaly, and budget alert review.
- AI Recommendations: routing recommendations, prompt optimization, model choice, cost reduction, and reliability suggestions.
- AI Prompts: repeated prompt patterns, oversized prompts, prompt efficiency, and prompt-level optimization signals.
- AI Playground: prompt testing with provider, model, temperature, output, latency, token, cost, and error comparison.
- AI Evaluations: model evaluation, custom judge settings, score review, pass/fail analysis, and failed-example inspection.
- Settings > AI Keys: provider key status, OpenAI usage, OpenAI logs, Anthropic usage, Gemini usage, pricing lookup, key save, and key delete.
- Settings > AI Observability: ingest keys, trace/event scopes, SDK setup, telemetry endpoint, and privacy defaults.
- Settings > AWS: IAM role setup, external ID, credential status, disconnect, and AWS validation.
- Settings > Azure: tenant, subscription, service-principal connection, onboarding template, validation, and disconnect.
- Settings > GCP: project, service-account connection, billing export setup, validation, callback behavior, and disconnect.
- Settings > GitHub: OAuth status, connect, disconnect, repository list, branch list, and deployment source selection.
- Settings > Reports: report preferences, cadence, recipients, sections, and test delivery.
- Simulation Builder: visual canvas, service nodes, config panel, cost box, Terraform preview, deployment status, autosave, manual save, and provider selection.
- Simulation History: saved simulation list, detail, update, delete, destroy, PEM download, deployment records, and cleanup status.
- Live Infrastructure: provider inventory sync, service-group canvases, resource detail, status, metrics, code view for Lambda where supported, and live action safety checks.
- Resize Migration: scope, source discovery, target sizes, job creation, task transition, classification confirmation, access configuration, resume, explanation, report, and delete.
- VPS Logs: agent registration, agent config, secure ingest, recent log review, summary, clear recent logs, alarm rules, alert policy, and mail test.
- Profile: user profile, preferences, integration awareness, security controls, and account settings.
- SaaS Admin: system stats, tenant list, compliance alerts, support visibility, and administrator-only management.
- Global AI Agent: product help, docs help, and grounded operational assistant entry point.
Who should use what
- Beginner developer: Getting Started, Local Setup Guide, Provider Configs, Supported Services, Simulation Builder, AI Setup and SDK, and Troubleshooting.
- Cloud engineer: Multicloud Setup, AWS, Azure, GCP, Live Infrastructure, Actions, Resize Migration, Simulation Deployments, and API Reference.
- FinOps user: Billing Metrics, Recommendations, Cost Savings, Email Reports, and AI Cost and Models.
- AI engineer: AI Observability, Setup and SDK, Traces, Cost and Models, AI Quality Workflows, Playground and Evals, and Alerts and Recommendations.
- Security or compliance user: Alerts, Actions, Security dashboards, logs, and reports.
- Platform admin: Profile, Team Management, Settings pages, SaaS Admin, Integrations, Notification Settings, and Security Events.
Need more help?
Keep moving with the right next guide
If your team still runs into setup issues, empty dashboards, billing delays, callback failures, or alerting problems, continue with troubleshooting before re-running the entire onboarding flow.