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Alert6AI INCIDENT MANAGEMENT · BY SQUAREOPS FORMERLY RESOLVE

Resolve production incidents faster with AI SRE.

Alert6 correlates alerts across your monitoring stack, investigates live telemetry and recent changes, identifies probable root causes, and proposes fixes your team can approve or safely automate.

  • Works with your existing monitoring tools
  • Read-only investigation by default
  • You control remediation
ALERT SOURCESINCIDENTEVIDENCE CHECKS
DatadogFIRING
checkout-api p99 2.3s
CloudWatchFIRING
rds/checkout-db CPU 91%
GrafanaFIRING
payments queue lag 4.1k
New RelicFIRING
error rate 3.1%
INC-2041SEV2 · AUTO
Checkout degraded — p99 latency and DB CPU
4 alerts correlated · checkout-api → rds/checkout-db
Investigating 4 checks
connections
498 / 500 · saturated since 14:02
slow queries
none · waits on connection acquire
logs
1,204× "pool timeout" · first 14:02:07
deploys
v2.31.0 · idle timeout 30s → 1s
FIX · PROPOSEDconfidence 0.92
Revert DB_POOL_IDLE_TIMEOUT to 30s, rolling-restart checkout-api
Probable cause: 1s idle timeout churns connections; pool saturates; DB burns CPU on handshakes.
Approve & runAsk why
ILLUSTRATIVE SAMPLE INCIDENT · NOT CUSTOMER DATA
Correlate alerts
One incident, not a flood of pages.
Find root causes
Evidence from live systems.
Execute safely
Approval and policy controls.
WORKS WITH GrafanaPrometheusDatadogNew RelicAWS CloudWatchGoogle Cloud MonitoringAzure MonitorSlackPagerDutyJira + supported webhooks
THE PROBLEM

Stop chasing alerts. Start resolving incidents.

Production incidents rarely announce their root cause. Symptoms appear across monitoring dashboards, application logs, database metrics, and deployment history. Engineers lose valuable time connecting the evidence.

Alert6 brings that investigation into one workflow.

BEFORE ALERT6
  • Noisy alerts
  • Fragmented context
  • Manual troubleshooting
  • Repetitive runbooks
  • Post-incident documentation by hand
WITH ALERT6
  • Correlated incidents
  • Evidence-backed investigation
  • Proposed remediation
  • Controlled execution
  • Auto-drafted RCA
PRODUCT WALKTHROUGH · ONE INCIDENT FROM ALERT TO FIX

From four alerts to one investigated incident.

See how Alert6 connects symptoms across your stack, investigates what changed, and recommends a fix with supporting evidence.

  1. 01

    Correlate the signals

    Combine related alerts from metrics, logs, infrastructure, and application monitoring into one incident.

  2. 02

    Investigate the evidence

    Check relevant telemetry, database statistics, application logs, and recent deployments or configuration changes to identify the probable cause.

  3. 03

    Recommend the fix

    Present a remediation runbook, commands, verification steps, and a confidence score.

  4. 04

    Resolve with control

    An authorized engineer approves execution, or policy-governed automation runs explicitly allow-listed runbooks.

INC-2041 Checkout degraded — p99 latency and DB CPU Sample dataSev2 · in progress
SYMPTOM
p99 above 2s · DB CPU 91% · 3.1% errors · 4 alerts correlated
SERVICE
checkout-api → rds/checkout-db
PROBABLE CAUSE
Pool idle timeout 1s churns connections
PROPOSED FIX
Revert to 30s · rolling restart · awaiting approval
PN
ON-CALL ENGINEER · 14:04
checkout is slow and the DB is hot — same thing?
ALERT6 · 14:05

Yes — same incident. Here is the evidence from the live systems and the most recent change.

pg_stat_activity498 / 500 — saturated since 14:02ABNORMAL
slow query logno slow queries · time spent waiting on connection acquireCLEAR
logs · checkout-api1,204 matches "pool timeout" · first at 14:02:07ABNORMAL
deploy historyv2.31.0 at 13:58 · DB_POOL_IDLE_TIMEOUT 30s → 1sPROBABLE CAUSE
RUNBOOKRevert pool idle timeout · 2 commands · 1 verification stepconfidence 0.92
Approve and runShow the queriesNot now

Illustrative incident with sample data. Full query output, commands and setup steps live in the documentation.

CORE CAPABILITIES

Incident management, AI investigation, controlled remediation, reliability operations

Four capabilities in sequence — from the first page to the post-incident review.

01INCIDENT MANAGEMENT

Turn alert noise into actionable incidents.

Correlate related alerts, deduplicate repeats, calculate severity, and route incidents to the right on-call team.

  • Alert correlation
  • Deduplication
  • Severity
  • Incident ownership
  • Slack
  • PagerDuty
  • Jira
  • Webhooks
INC-20414 alerts · 14:04:19
checkout-api p99 2.3s · DatadogFIRING
rds/checkout-db CPU 91% · CloudWatchFIRING
payments queue lag 4.1k · GrafanaFIRING
error rate 3.1% · New RelicFIRING
→ INC-2041 · Sev2 · routed to checkout on-callPAGED ONCE
02AI INCIDENT INVESTIGATION

Find the probable root cause, backed by evidence.

Investigate metrics, logs, database health, and recent deployments to explain what likely went wrong and why.

  • AI investigation
  • Deployment correlation
  • Confidence scores
  • Evidence timelines
  • Suggested runbooks
INVESTIGATION4 checks
pg_stat_activity · 498 / 500 since 14:02ABNORMAL
slow queries · none · waits on acquireCLEAR
logs · 1,204× "pool timeout"ABNORMAL
deploy v2.31.0 · idle timeout 30s → 1sCHANGE
probable cause · confidence 0.92PROPOSED
03AUTOMATED INCIDENT RESPONSE

Move from investigation to controlled remediation.

Turn findings into executable runbooks, verify recovery, and record every approval and action.

  • Runbook execution
  • Approval workflows
  • Policy-based automation
  • Audit logs
  • Drafted root-cause reports
RUNBOOK · revert pool timeoutallow-listed · ≥ 0.85
set DB_POOL_IDLE_TIMEOUT=30s on checkout-apiSTEP 1
rolling restart checkout-apiSTEP 2
verify · p99 < 500ms for 5 minSTEP 3
approved by on-call engineer · 14:07:02AUDIT
RCA draft ready · 3 action itemsDONE
04RELIABILITY OPERATIONS

Build a clearer picture of service reliability.

Connect incident history with SLOs, error budgets, on-call workflows, and post-incident learning.

  • SLO reporting
  • Incident timelines
  • On-call schedules
  • Post-incident RCA drafts
checkout-api · 30 DAYSreliability view
availability SLO 99.9% · budget 61% remainingON TRACK
latency SLO p99 < 500ms · budget 22% remainingAT RISK
incidents · 3 · median time to resolve 41 minTIMELINE
on-call · checkout rotation · 4 engineersSCHEDULE
RCA INC-2041 · 3 action items openLEARNING
SECURITY AND CONTROL

AI that investigates. Your team controls what happens next.

Alert6 is designed to make incident investigation transparent and remediation governed by policy.

InspectREAD-ONLY

Read the relevant telemetry and operational evidence.

ExplainALWAYS

Show queries, results, and evidence behind the proposed cause.

ApproveHUMAN GATE

Let an authorized engineer review the proposed action.

AutomateBY POLICY

Allow designated runbooks to execute under explicit policy and confidence thresholds.

AuditALWAYS

Keep a record of approvals, executions, and incident activity.

Explore security and execution controls
USE CASES

Built for the teams who carry the pager

On-call teams

Fewer pages, one incident per fault, and the evidence already gathered when you open it.

SRE and DevOps teams

Correlation, investigation and remediation in one workflow, with runbooks your team already owns.

Kubernetes and cloud operations

Investigate deployments, configuration changes and cloud telemetry alongside application signals.

INTEGRATIONS

Works with your existing monitoring and incident stack.

Keep the monitoring tools you already use. Alert6 connects the signals, investigates incidents, and works through your existing operational workflows.

Integration setup guides
MONITORING AND OBSERVABILITY
GrafanaPrometheusDatadogNew RelicAWS CloudWatchGoogle Cloud MonitoringAzure Monitor
COLLABORATION, PAGING AND TICKETING
SlackPagerDutyJiraWebhooks
PRICING

Priced per monitored service

Free for up to 5 services. Pay when you grow.

Free
$0/ month
Up to 5 services, one team.
  • Alert correlation from supported sources
  • Slack + PagerDuty
  • Incident timelines
  • 7-day history
Start free
MOST POPULAR
Team
$29/ service / month
For on-call teams running production.
  • AI investigation with your runbooks
  • Approved execution with audit log
  • Auto-drafted RCA
  • SLOs and error budgets
  • 1-year history · Jira, Datadog, New Relic
Start 14-day trial
Enterprise
Custom
SSO, private deployment, custom policy.
  • Everything in Team
  • SSO / SAML
  • Deploy in your AWS account
  • Custom guardrail policy
  • Dedicated support
Talk to an engineer
OPTIONAL SERVICEMANAGED SRE BY SQUAREOPS

Need more than a platform? Get SRE expertise with Alert6.

Combine Alert6's incident correlation and AI investigation with SquareOps engineers who can help manage on-call response, remediation, postmortems, and reliability reviews. Alert6 is sold separately; the managed service is optional.

Explore Managed SRE Services
24x7
Follow-the-sun coverage
15 min
P1 response
99.95%
Uptime SLA
FAQ

Questions about Alert6

Not covered? An engineer replies within one business day.

hello@alert6.ai

AI incident management uses AI to help correlate alerts, investigate incidents, identify probable root causes, and assist with resolution. Alert6 combines these capabilities with policy-controlled remediation.

Alert6 investigates relevant telemetry, application logs, database statistics, and recent deployment or configuration changes. It presents its findings and supporting evidence so engineers can evaluate the proposed cause.

Alert6 proposes remediation runbooks for engineer approval. Automation can be enabled for explicitly allow-listed runbooks under configured policies and confidence thresholds.

No. Alert6 works with existing monitoring tools and uses their alerts and operational data to investigate and respond to incidents.

Alert6 goes beyond organizing alerts and tracking incidents by investigating operational evidence, proposing probable root causes, and supporting controlled remediation.

A first alert source can typically be connected in about 30 minutes. Actual implementation time depends on monitoring integrations, access permissions, runbooks, and the environment being connected.

Encrypted at rest and in transit. Enterprise plans can deploy into your own AWS account. Details at alert6.ai/security.

Yes. SquareOps offers a managed SRE services proposition that combines Alert6 with engineering support for incident response and reliability operations.

Resolve is now Alert6. Same platform, new name, at alert6.ai. Existing customers keep their accounts, data and integrations.

Bring your own alert source. See a live incident workflow.

A live demo with an Alert6 engineer. Connect one alert source and watch it correlated, investigated and handed back as a proposed fix.

An engineer runs the demo. Or sign in if you already have an account.
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