📊 Reliability, end to end

Your Entire Stack's
Reliability, in One
Pane of Glass

A multi-tenant SRE observability platform — SLOs & error budgets, incidents, DORA and engineering delivery metrics, synthetic probes, AWS infrastructure and cost, AI spend, security compliance, alert analytics, and business KPIs. One pane of glass for the whole team.

Multi-tenant & RBAC
Real-time metrics
Managed & multi-tenant
argus-demo.web.app/overview
📊Argus

Reliability Overview

Live
Uptime
99.98%
30d
Error rate
0.04%
▼ 0.02
p99 latency
142ms
▲ 6ms
Incidents
0
open
Requests / minlast 12h
23
Built-in modules
AWS-native
Cost · Infra · Security
DORA
Delivery metrics
1yr
Metric retention
RBAC
Multi-tenant
What's Inside

One Platform.
Every Signal That Matters.

Reliability, engineering delivery, infrastructure, cost, AI spend, security, and business metrics — unified across your services and teams.

🎯

SLOs & Error Budgets

Per-SLO burn rates over 1h / 6h / 24h windows, live compliance from real snapshots, plus dedicated availability and p50 / p95 / p99 latency views per service.

🚨

Incident Management

Full lifecycle from open → ack → resolved with P1–P4 severity, MTTR / MTTD tracking, and a complete incident timeline.

🚀

DORA & Deployments

Deploy frequency, lead time, change-fail rate and MTTR — graded Elite / High / Medium / Low, fed by Gerrit or merged pull requests from Gitea and GitHub.

⚖️

SRE Scorecard

Reliability and delivery on one page, deliberately paired: deploy frequency against change-fail rate, error budget against SLO compliance, MTTD against MTTR. Never read one side without the other.

📋

Engineering Metrics

Throughput, cycle time, open backlog and toil ratio straight from Jira — per project, with 90-day trend lines and your own named JQL queries as tracked tiles.

📡

Synthetic Monitoring

HTTP, TCP, DNS, and Ping probes with an assertion engine and latency history — catch outages before your users do.

🖥️

Infrastructure Health

AWS-native collection through CloudWatch across multiple regions — EC2, RDS, ElastiCache and OpenSearch — alongside node and pod health, with memory and disk from the CloudWatch agent.

💸

Cost & FinOps

Multi-account spend consolidated from a single Cost Explorer payer, on an unblended, amortized or net-of-credits basis. Savings Plan and RI coverage, commitment utilization, rightsizing recommendations, top movers, and anomaly detection.

AI Consumption

What your AI coding tools actually cost: spend and adoption by vendor, model and cost centre, month-over-month trends, and a per-developer breakdown from the monthly usage export.

🛡️

Security & Compliance

Amazon Inspector findings with CVE and CVSS severity, CIS / SOC 2 control tracking, and a rolled-up risk score for the whole organization.

📊

Business KPIs

Request volume, active users, API calls, error rate, P99 latency, and revenue metrics — engineering and business signals side by side.

🔔

Alert Analytics

Both alert streams in one view: volume, escalation rate and receiver-group paging load from your alerting platform, plus flapping detection and a self-resolve noise ratio for your own monitors — the worklist for fighting fatigue.

Live in Minutes

How It Works

Connect your data, set your targets, and let the platform watch your stack around the clock.

1

Connect Data Sources

Point Argus at VictoriaMetrics / Prometheus, AWS (Cost Explorer, CloudWatch, Inspector), Jira, Gerrit or Git, your alerting platform, or any custom REST API. Connections are tested live before they go active.

2

Define SLOs & Probes

Set service-level objectives, spin up synthetic probes, and invite your team with role-based access — admin, SRE, or viewer.

3

Monitor & Act

Background workers collect metrics, compute burn rates, snapshot engineering trends, and detect cost anomalies on a schedule — routing what matters to Teams or email by severity. You get one live dashboard to act on.

Built for Production

Enterprise-Grade by Design

Multi-tenant from the ground up, with time-series storage tuned for scale and security baked into every layer.

🏢

Multi-Tenant & RBAC

Isolated organizations, teams, and granular admin / SRE / viewer roles plus an additive FinOps role that gates cost and infrastructure — with a full permission matrix and audit log.

⏱️

Time-Series at Scale

TimescaleDB auto-routes queries across raw, hourly, and daily rollups. Compression after 7 days, 1-year retention.

⚙️

Always-On Collection

Celery workers collect infra, business, and VM metrics, run probes every 30s, and detect cost anomalies daily.

🔐

Secure Auth

Azure AD (OIDC) single sign-on, JWT with refresh-token rotation and Redis-backed revocation, bcrypt password hashing, and rate-limited APIs.

Technical Specs

FrontendReact 18 + TS
BackendFastAPI · Python 3.12
Task QueueCelery + Redis
Relational DBPostgreSQL 16
Time-SeriesTimescaleDB
AuthJWT + Azure SSO
ChartsChart.js
DeployDocker Compose
ProxyNginx
Pricing

Plans That Scale With You

Start with the full platform on our infrastructure. Pricing is scoped to your estate — how many accounts, how much cloud spend, how many teams.

Free Trial
14 days
The whole platform, provisioned on our infrastructure for your organization. Nothing held back.
  • Every reliability & observability module
  • Connect your own AWS, Jira & Git
  • Guided setup session
  • Your data, your org, isolated
  • Work email · no credit card
Start Free Trial
Enterprise
Custom
For organizations that need scale, white-labeling, and dedicated support.
  • Everything in Team
  • Unlimited orgs & users
  • White-label branding
  • Azure SSO & audit exports
  • SLA & dedicated support
  • Onboarding & consulting
Contact Sales

Work email required · No credit card for the trial · Cancel anytime · Privacy Policy · Terms of Service

Get Started

See Your Whole Stack
in One Dashboard

Book a walkthrough and we'll spin up a trial with your own data — reliability, engineering delivery, infrastructure, cost, AI spend, security, and business KPIs.

Fully managed · Multi-tenant · Role-based access · Privacy Policy · Terms

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