Enterprise Data AI — Semantic Layer

Argus – Incident response agent

ARGUS reduces MTTR when it matters the most.

Engineers still make the final judgment call. ARGUS collects intelligence to make sure the call is informed, fast, and consistent – whether it’s 2pm or 2am. 

 

It’s the best way to improve your UpTime and reduce your MTTR.

ARGUS does not replace your monitoring tools — it makes them much more valuable and useful.

ARGUS sits on top — when permitted it reads from your tools, correlates, and gives your team a head start.

ARGUS never gets direct system access for control — it’s the tool that generates intelligence from your raw data.

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    Explore how Argus Works
    argus · investigation briefing
    LIVE INCIDENT · Provisioning Flow
    ▲ What Happened
    500 errors started at 01:58 UTC. Pattern isolated to Provisioning Flow. Error rate: 94% of requests.
    ⬈ What Changed
    Deployment at 23:41 UTC — commit: "update order timeout thresholds". No other deployments in window.
    ◎ Blast Radius
    Feeds Order Manager and Symphonica. Customer Portal indirectly affected. No similar failures in past 30 days.
    ⚡ Suggested Action
    Hypothesis: timeout misconfiguration from deployment. Roll back or increase downstream timeout to restore service.

    Enterprise Data AI — Semantic Layer

    44x
    Faster than manual investigation
    AI vs. 30min manual baseline
    41s
    Avg time from alert to root cause
    Across 40 automated investigations
    83%
    Actionable rate at ≥70% confidence
    33 of 40 investigations
    63%
    Recurring patterns caught from history
    25 chronic incidents recognised
    40–70%
    Reduction in overall diagnosis time
    MTTR improvement across deployments
    how argus works

    One agent. Every tool. One clear answer.

    Argus reads from your monitoring, deployment, logging, and topology tools simultaneously — correlates the signals, and delivers a single structured briefing your team can act on immediately.

    Investigation Intelligence

    Ranked hypotheses with numbered evidence

    Every investigation returns ranked hypotheses at confidence levels, backed by numbered evidence chains. Not a wall of logs – a structured argument your engineer can act on or challenge immediately.

    Multi-Tool Execution + Notifications

    Calls every tool, notifies every channel — automatically

    Datadog and GitHub called simultaneously. Root cause identified. Notifications fired to Slack, Jira, Teams, and ServiceNow — all in a single investigation flow. Your team is briefed before they open a laptop.

    The 2 AM Problem — Solved

    Your on-call engineer gets a briefing, not a mystery.

    The On-Call Briefing synthesises investigation history, recurring patterns, and deploy activity into one screen. Shift handover goes from a 30-minute verbal to a 5-minute review. Every time.

    38s
    Avg investigation time per incident
    0
    Unknown root causes in last 7 days
    10x
    Recurring pattern detected and flagged
    Measurable Results

    The greater UpTime (MTTR) impact matters to the business.

    This isn’t a benchmark. These are the before-and-after numbers from real operations teams who deployed Argus into their incident workflows.

    Scenario Today With Argus
    Time to first hypothesis 20–45 min ~2 min
    NOC escalation decision Gut feel or wait Topology + impact in 90s
    Deployment correlation Manual GitHub / Jenkins Automatic, every investigation
    Recurring issue recognition "I think this happened before..." Structured history with root cause
    Shift handover catch-up 20–30 min 5 min investigation log review
    Cross-service impact Multi-tool navigation Blast radius on topology, instant

    Average MTTR improvement: 40–70% reduction in diagnosis time. Shift handover and NOC escalation accuracy gains alone justify the deployment.

    Built for Real Operations

    Four scenarios where Argus changes the outcome.

    This isn’t a benchmark. These are the before-and-after numbers from real operations teams who deployed Argus into their incident workflows.

    SCENARIO 01
    NOC Escalation Decision
    Know immediately if an alert is a blip or a P0 incident — before you wake anyone up.
    TODAY
    Multiple dashboards, gut feel, waiting for pattern recognition.
    WITH ARGUS
    Service topology + blast radius + deployment correlation in 90 seconds.
    SCENARIO 02
    Cross-Tool Error Investigation
    One question instead of five dashboards. One answer instead of five context switches.
    TODAY
    Datadog → GitHub → Jaeger → Slack → manual correlation. 40+ minutes.
    WITH ARGUS
    All tools queried simultaneously. Ranked hypothesis with evidence in 41 seconds.
    SCENARIO 03
    The 2 AM On-Call Briefing
    Direction in 90 seconds instead of 45 minutes of log archaeology.
    TODAY
    Engineer wakes up. Opens 6 tabs. Pieces together context from scratch. 45 minutes lost.
    WITH ARGUS
    Briefing is pre-generated. Root cause, blast radius, suggested action — ready before the call starts.
    SCENARIO 04
    Shift Handover Catch-Up
    Full overnight context in 5 minutes, not 30. Every shift, every time.
    TODAY
    20–30 minute verbal handover. Important context missed. Recurring issues not flagged.
    WITH ARGUS
    5-minute investigation log review. Recurring patterns highlighted. Nothing falls through.
    Efficiency & Cost

    27 minutes of AI work. 20 hours of manual effort saved.

    In one 30-day period: 40 investigations automated, 27 minutes of total AI processing time, equivalent to 20 hours of manual engineer time. Efficiency ratio: 44×.

     

    And the cost of running those 40 investigations? $0.0105 per investigation. Full cost transparency, built into the platform — AI gateway spend tracked by virtual key, per agent, per day.

    Works with Your Existing Stack

    No rip-and-replace. Connects to what you already run.

    Argus sits on top of your existing tools. It reads, correlates, and surfaces intelligence – it never replaces the systems your team depends on.

    MONITORING
    Datadog
    Grafana
    Prometheus
    Elastic
    DEPLOYMENTS
    GitHub
    Jenkins
    GitLab
    ArgoCD
    LOGGING & TRACING
    Elastic / ELK
    Jaeger
    Splunk
    Loki
    INCIDENT & NOTIFICATIONS
    ServiceNow
    Jira
    Slack
    Microsoft Teams
    👁️

    Why Argus?

    Argus Panoptes was the all-seeing giant of Greek mythology — 100 eyes, never sleeping, never missing a thing. Appointed to watch over what mattered most, he saw everything simultaneously, at all times. We named our incident response agent after him because that's exactly what your infrastructure deserves: something that watches your entire stack, all the time, and never looks away — so that when something breaks at 2am, the answer is already waiting for your engineer.

    Bring us one of your incidents. We'll run it live.

    We start by mapping your incident workflow, service topology, and monitoring stack. Then we show you exactly where Argus cuts diagnosis time and improves escalation accuracy. No commitment required.

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