AIOps + AgentOps · Operational and Agentic Intelligence

Operational and Agentic Intelligence
for increasingly autonomous operations.

AIOps + AgentOps connected by a shared operational context.

Argus connects what happens in operations to the work of people, automations and AI agents. It correlates events, cuts noise and builds a shared, systemic view to understand, coordinate and govern decisions and actions in complex environments.

Get started → Book a demo

1What happens

InfrastructureServicesApplicationsNetworkCloud

Your tools stay where they are and keep generating events and alarms.

events, alarms and changes · read only

2Argus understands and governs

AIOps Understands operations 34 alarms → 1 incident with impact and probable cause

Argus Shared Operational Context services · dependencies · changes · history

AgentOps Governs who acts every decision, tool call and cost with policy and trail

the same context, with policies and permissions

3Who acts

PeopleNOC, SRE and on call teams decide with context

AutomationsWorkflows triggered with criteria

AI agentsThey act within the allowed autonomy

Decisions, actions and results flow back into the context. That is how everything stays traceable.

128

native integrations

tools replaced

Free

to try in your own environment

Event sources, ITSM, cloud and models · 128 native integrations

Zabbix· Dynatrace· ThousandEyes· Grafana· Prometheus· Elastic· Splunk· ServiceNow· Jira· Datadog· AWS· Azure· Kubernetes· Telegram· OpenAI· Anthropic· Gemini· Ollama· vLLM· Zabbix· Dynatrace· ThousandEyes· Grafana· Prometheus· Elastic· Splunk· ServiceNow· Jira· Datadog·

The problem

Plenty of data. Not enough context to decide.

Monitoring, observability, ITSM, security, cloud and automation each see a different part of the environment. People and teams have to piece this information together to understand what is really happening.

Now AI agents also analyze situations, query systems and take actions. Without shared context, they can create a new layer of silos.

Fragmented tools

Different views of the operational reality.

MonitoringAPMITSMCloudSecurity

5 tools, 5 versions of the same incident

Fragmented knowledge

Relationships and dependencies rebuilt by hand.

agg-sp-02AGG-SP-02.core10.20.4.2CIRCUITO-SP-1182

4 names for the same element

03 · New

Fragmented agents

Different contexts, models, tools and rules.

NOC agentITSM agentInternal copilot

3 agents, 3 views of operations

Adding AI to a fragmented operation does not remove the fragmentation. It may only create a new layer of it.

The platform

One operation. One context.

People, automations and AI agents working on the same operational reality.

AIOps Understand operations. Events, alarms, incidents, impact and probable cause.

Shared Operational Context Connect understanding and action. eventsservicesdependencieschangeshistory

AgentOps Observe, coordinate and govern agents. Executions, decisions, tool calls, policies and results.

1What happened
2What it means
3What was decided
4What was done
5What the result was

Argus connects this chain end to end.

AIOps + AgentOps in practice

From operations to action. From action to results.

AIOps

Understand what is happening.

34 alarms · 6 sources

CRIT · Zabbix · link saturated

WARN · Dynatrace · API latency

WARN · ThousandEyes · degraded route

CRIT · Elastic · repeated 500 errors

INFO · ServiceNow · CHG0043127

CRIT · Kubernetes · pod restarting

Argus

1 operational context

P1 Payments core degraded

Probable cause: change CHG0043127 saturated the aggregator link and degraded the service route.
34 related alarms 6 sources 9 services

Illustrative example.

CorrelateRelated events.
ReduceNoise and duplicates.
ContextualizeImpact, dependencies and probable cause.

AgentOps

Understand and govern what agents are doing.

ContextP1 incident · 9 affected services
AgentInvestigation agent
DecisionCheck the related change
ToolTool call to ITSM
ActionRecommend rollback · requires approval
ResultLogged in the incident

Illustrative example.

ObserveExecutions, decisions, tool calls, errors and latency.
CoordinateAgents, tools and workflows.
GovernPolicies, permissions, auditing and human oversight.

Observing operations is not enough. You also need to observe who acts on them.

Governance, autonomy and costs

More autonomy demands more control.

Governance

Policies
Permissions
Auditing
Traceability

Progressive autonomy

Observes
Recommends
Requests approval
Executes

Performance

Latency
Errors
Results

Costs

Tokens
Calls
Models
Agents
Workflows

ConsumptionCostExecutionOperational result

It is not just about knowing how much AI costs. It is about understanding where it is used and what result it produces.

Platform capability

AI Gateway

The AI Gateway applies policies and routes calls across models and cloud or on premises environments.

Agent
Policy
Model
Execution
Consumption and cost
Result

Human oversight when needed. Autonomy when allowed. Traceability always.

SSO, RBAC and audit trail
Encryption in transit and at rest
Read only credentials and least privilege
Operational data does not train public models
Configurable retention and minimization
Brazilian vendor, with local contract and support

Integrations

Connect what you already use.

Get more value from what is already in place.

Monitoring & Observability

ZabbixDynatraceThousandEyesGrafanaPrometheus

ITSM & Operations

ServiceNowJiraAPIsWebhooks

Cloud & Infrastructure

AWSAzureGoogle CloudKubernetes

Communication & Automation

TelegramAPIsWebhooksWorkflows

AI & Models

OpenAIAnthropicGeminiOllamavLLM

Argus does not replace your ecosystem. It connects the pieces to get more value from what is already in place.

See all integrations128

🐶

Datadog

Observability

●

🔥

Prometheus

Observability

●

📊

Grafana

Observability

●

🦊

Grafana Loki

Observability

●

📟

Grafana OnCall

Observability

●

📟

Grafana Incident

Incident Response

●

🟢

New Relic

Observability

●

🔷

Dynatrace

Observability

●

🔷

Dynatrace Managed

Observability

●

🟡

Elastic

Observability

●

📊

Kibana

Observability

●

📋

Graylog

Observability

●

📡

Axiom

Observability

●

📡

Coralogix

Observability

●

📊

Dash0

Observability

●

📈

Signalfx

Observability

●

📊

Sumo Logic

Observability

●

📈

VictoriaMetrics

Observability

●

📜

VictoriaLogs

Observability

●

🔍

OpenObserve

Observability

●

📂

Parseable

Observability

●

📊

Netdata

Observability

●

📡

NetXMS

Observability

●

📡

LibreNMS

Observability

●

🛎️

Icinga2

Observability

●

📊

Centreon

Observability

●

✔️

Checkmk

Observability

●

✅

Checkly

Observability

●

📡

Pingdom

Observability

●

🍰

StatusCake

Observability

●

🌐

Site24x7

Observability

●

👁️

ThousandEyes

Observability

●

⏱️

Uptime Kuma

Observability

●

📡

Vector

Observability

●

🟥

Zabbix

Observability

●

📟

PagerDuty

Incident Response

●

🚨

OpsGenie

Incident Response

●

🆘

Incident.io

Incident Response

●

🧠

Incident Manager

Incident Response

●

🦺

Squadcast

Incident Response

●

⚡

Zenduty

Incident Response

●

⚡

FlashDuty

Incident Response

●

🌳

PagerTree

Incident Response

●

🚨

iLert

Incident Response

●

📳

SIGNL4

Incident Response

●

🔎

Splunk

Logs & APM

●

🟣

Sentry

Logs & APM

●

🎯

Rollbar

Logs & APM

●

🧭

AppDynamics

Logs & APM

●

🍯

Honeycomb

Logs & APM

●

📊

PostHog

Logs & APM

●

☁️

AWS CloudWatch

Cloud

●

🔵

Azure Monitor

Cloud

●

🟩

GCP Monitoring

Cloud

●

⎈

Kubernetes

Cloud

●

🔴

OpenShift

Cloud

●

☁️

EKS

Cloud

●

🟩

GKE

Cloud

●

🔷

AKS

Cloud

●

🟧

Cloudflare

Cloud

●

🪣

Cloud

●

📬

Amazon SQS

Cloud

●

🧱

Kafka

Cloud

●

📦

ClickHouse

Cloud

●

📊

BigQuery

Cloud

●

❄️

Snowflake

Cloud

●

🍃

MongoDB

Cloud

●

🐬

MySQL

Cloud

●

🐘

PostgreSQL

Cloud

●

📊

Databend

Cloud

●

🔍

OpenSearch Serverless

Cloud

●

🚀

ArgoCD

Cloud

●

🔄

FluxCD

Cloud

●

🌬️

Airflow

Cloud

●

🔗

Cilium

Cloud

●

💬

Slack

Communication

●

👥

Microsoft Teams

Communication

●

💬

Google Chat

Communication

●

🎮

Discord

Communication

●

✈️

Communication

●

✉️

SMTP / Email

Communication

●

📱

Twilio

Communication

●

🔔

Pushover

Communication

●

📣

ntfy

Communication

●

📧

Mailgun

Communication

●

📧

SendGrid

Communication

●

📧

Resend

Communication

●

🎥

Zoom

Communication

●

🗨️

Mattermost

Communication

●

🧩

Jira

Ticketing

●

🧩

Jira (On-Prem)

Ticketing

●

🧾

ServiceNow

Ticketing

●

📐

Linear

Ticketing

●

📊

LinearB

Ticketing

●

🐙

GitHub

Ticketing

●

⚙️

GitHub Actions

Ticketing

●

🦊

GitLab

Ticketing

●

⚙️

GitLab Pipelines

Ticketing

●

🎫

Zendesk

Ticketing

●

🧠

YouTrack

Ticketing

●

📌

Redmine

Ticketing

●

📋

Trello

Ticketing

●

📅

Monday.com

Ticketing

●

📊

Microsoft Planner

Ticketing

●

☁️

Salesforce

Ticketing

●

🛡️

Wazuh

Security

●

🦅

Falco

Security

●

🛰️

GuardDuty

Security

●

🔗

Webhook

Communication

●

🌐

HTTP

Communication

●

🔌

WebSocket

Communication

●

🔐

SSH

Cloud

●

🐍

Python

Cloud

●

💻

Bash

Cloud

●

📊

QuickChart

Cloud

●

🧪

Mock

Cloud

●

🖥️

Console

Cloud

●

😴

Sleep

Cloud

●

🗂️

NetBox

Cloud

●

🤖

OpenAI

AI & Models

●

🧠

Anthropic

AI & Models

●

✨

Gemini

AI & Models

●

🔍

DeepSeek

AI & Models

●

🧠

Grok

AI & Models

●

🦙

Ollama

AI & Models

●

⚡

vLLM

AI & Models

●

🧩

LiteLLM

AI & Models

●

🦙

Llama.cpp

AI & Models

●

Your tool is not on the list? Webhooks, HTTP API and the generic integration cover virtually any source that emits events.

Where Argus creates value

From operational complexity to results.

01 Noise reduction Alarms → prioritized context.

02 Incident investigation Events + dependencies + changes → impact and probable cause.

03 Agentic operations Agents acting on shared context.

04 AI governance Decisions and actions within the organization's policies.

05 AI cost control Consumption per agent, model and workflow, tied to results.

Telecom, ISP and MSPBanking and financeIndustryLarge enterprises

Trials and POC

Start with a real problem.

1ConnectIntegrate a few sources
2ContextualizeBuild operational context
3ValidateMeasure the results

Start for free → Book a POC

Plans

Start for free. Grow as your operation grows.

Free

R$ 0 / for a limited period

Try Argus in your own environment.

Start for free →

Premium

Take Operational and Agentic Intelligence to production.

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FAQ

The questions we hear most

Does Argus replace my monitoring? Do I need to switch tools?+

No. Argus relies on your monitoring to keep working. It does not replace your collection and observability tools. It consumes the events they already produce, relates information across different sources and builds context to help identify the incident, its impact and its probable cause.

I already have Zabbix, Dynatrace, Datadog or Splunk. What does Argus add?+

These tools keep doing their jobs. Each one offers depth within its own domain. Argus connects these domains to answer a different question: what is the incident, what is the probable cause, who is affected and what is happening across the operation as a whole?

How does the integration work in practice?+

In most cases, through read only credentials on the tool's API or through a webhook. Argus has native integrations and also lets you connect other sources through HTTP API and webhooks, without requiring a new collection layer or telemetry agent.

What if I have no CMDB or documented topology?+

Argus does not need a perfect CMDB to get started. Identities, relationships and dependencies can be built progressively from the events and integrations themselves. An existing CMDB becomes one more source of context.

Will I lose alarms in the correlation and noise reduction process?+

No. Events remain recorded and searchable. Symptoms and duplicates may stop paging a person individually, but they stay linked to the incident and available as evidence.

I already have my own AI and agents. Why would I need Argus?+

Because agents also need to understand the operational reality they act on. Argus provides shared operational context and adds observability, coordination and governance to the work of the agents your organization already has.

Does Argus replace my AI agents?+

No. Your own or third party agents can work with Argus. The platform lets you connect them to the operational context and follow their decisions, executions and results.

Which AI model is used? Can I use my own models?+

Your organization can use models from approved providers or models hosted in its own environment. The AI Gateway lets you apply policies and route calls across different models and cloud or on premises environments. Your operational data is not used to train public models.

How does Argus help control AI costs?+

Argus tracks consumption and costs tied to agents, models and workflows, including calls and tokens. This lets you relate consumption, performance, execution and results, and create policies for more efficient use of models.

Can agents take actions automatically?+

Yes, when allowed by your organization's policies. Autonomy can evolve from observation and recommendation to human approval or automatic execution, according to criticality, permissions and defined rules.

My team has no time. How much effort does a POC take?+

The POC has a defined scope and runs on a real scenario. On the customer side, it usually requires access to the selected sources, a technical point of contact and participation in the validation steps, with no need to replace tools or redesign existing data collection.

How does Argus deliver a return?+

With AIOps, it reduces triage effort, time to understand incidents, unnecessary escalations and the impact of degraded services. With AgentOps, it adds governance over agents, models and executions, including visibility and control over the consumption and costs of agentic AI.

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