Full-Stack Monitoring & Uptime
9 Monitor Types. AI-Powered Alerts.
Monitor everything from HTTP endpoints to gRPC services, DNS records to SSL certificates. When something goes down, the AI agent investigates automatically — before your users notice.
9 Monitor Types for Complete Coverage
From simple uptime checks to multi-step API tests. All with configurable intervals down to 30 seconds.
🌐 HTTP(S)
Status codes, body assertions, JSON path validation, custom headers & auth, timing breakdown (DNS, TCP, TLS, transfer).
🏓 Ping / ICMP
Network reachability checks with latency tracking and packet loss detection.
🔌 TCP Port
Verify service availability on any port. Perfect for databases, caches, and custom services.
📡 DNS
Record type validation (A, AAAA, CNAME, MX, TXT). Detect DNS propagation issues and hijacking.
🔒 SSL Certificate
Expiry monitoring, chain validation, and automated alerts before certificates expire.
⚡ gRPC
Health check protocol support for gRPC services. Verify service and method availability.
💓 Heartbeat / Push
Receive heartbeats from your cron jobs, backups, and batch processes. Alert if they stop checking in.
🔍 Keyword
Search for specific text in HTTP responses. Detect content changes, defacements, or missing elements.
🔗 Multi-step HTTP
Chain multiple HTTP requests with variable extraction. Test complete API workflows end-to-end.
Monitoring + AI = Superpowers
🤖 Auto-Investigation
When a monitor goes down, the AI agent automatically investigates root cause by querying your connected infrastructure — Kubernetes, Prometheus, logs, recent deployments.
⚡ Auto-Remediation
Configure monitors to trigger automated fixes: restart pods, scale deployments, rollback releases, clear caches. With full audit trail and optional human approval.
🔔 Smart Alerting
Alert rules with consecutive confirmation thresholds (anti-flapping), cooldown periods (anti-spam), and routing to 10 channel types: Slack, Teams, PagerDuty, Jira, and more.
🛠️ Maintenance Windows
Suppress alerts during planned maintenance. One-time or recurring (daily, weekly, monthly, cron). No more false positives during deploy windows.
Intelligent Log Patterns
Stop writing regex alerts for the errors you already know about. Argonix groups your logs into stable patterns and tells you when their shape changes — then names the deploy that caused it.
🧩 Your logs, where they already live
Loki, Datadog, Elasticsearch/OpenSearch, AWS CloudWatch Logs, GCP Cloud Logging, Azure Log Analytics, plus on-demand Kubernetes/GKE pod logs and Falco events. Argonix stores templates, counters and a redacted sample — never your raw logs.
📈 Five detectors, robust baselines
- New pattern — a message that never existed before
- Volume spike — a line that suddenly floods
- Share spike — a pattern taking over, even at flat volume
- Resurfaced — a pattern back after a quiet period
- Missing — a heartbeat that stopped
Rolling median/MAD baselines with absolute floors, plus opt-in weekday/hour seasonality. Deterministic — no LLM decides what counts as an anomaly.
🔗 Anomaly-to-Action
Every anomaly is correlated with the GitHub PRs, GitLab MRs, Argo CD syncs, Helm releases, Terraform applies and deployments of the 24 hours before onset — then resolved to affected resources, blast radius, and ranked actions under your existing approval policy.
🔌 Wired into everything else
Log anomalies trigger alert rules, open and close incidents, feed SRE Patrols and Health Notebooks, and launch an Argos investigation pre-loaded with the evidence. Mark one Expected, Noise or Confirmed and the ranking learns.
Beyond Basic Monitoring
Synthetic Tests
Multi-step API tests with variable chaining and browser tests (Playwright). Test complete user journeys. Detect regressions before users do.
Learn more →Status Pages
Public or password-protected status pages with custom domains, full branding, uptime graphs, incident timelines, and email/webhook subscriptions.
Metrics & Analytics
P50/P95/P99 response times, timing breakdowns, deployment overlays. Prometheus endpoint for scraping into your existing stack.
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Frequently Asked Questions
How fast can you detect outages?
Monitoring intervals go down to 30 seconds on Pro plans. With retry-before-alert (anti-flapping), you get reliable detection without false alarms.
Can I monitor internal/private services?
Yes. Deploy the Argonix agent inside your network for internal monitoring. Heartbeat monitors also work behind firewalls — your services push to us.
How does deployment tracking work?
Mark deployments via API with version, service name, and commit SHA. Deployment events are overlaid on response time graphs so you can instantly see if a deploy caused performance degradation.
Know Before Your Users Do
9 monitor types. AI-powered investigation. Auto-remediation. Start monitoring in minutes.