Launching Agent Teams, Workbench, MCP, and more

AI for prod

AI agents that run your software, so your engineers can get back to building

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Trusted by engineers building what's next

Shahrooz Ansari

Shahrooz Ansari

Senior Director Of Engineering

87%

faster incident investigations

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With Resolve AI, we pull fewer engineers into war rooms, on-call is materially better, and that translates directly to advertiser trust and revenue protection for a billion-dollar ads business.

How Resolve AI works

Combines expertise across your teams, operates all your tools, and captures tribal knowledge of your unique system

Agents that run your software

AI agents drive your on-call, incidents, and your operational tasks. Engineers step in to direct and take action.

01

Delegate on-call to agents

Agents participate in every on-call rotation to triage and investigate alerts

Explore on-call
ecommerce-app-alerts12 members
Q
CloudWatch Alarm | RDS CPU utilization high | us-east-2

Threshold Crossed: 1 datapoint [61.1074 (10/05/26 15:26:00)] was greater than the threshold (30.0).

List dashboardsQuery logs
RDS CPU utilization high — otel-demo-consolidated

What happened: CPU spiked from ~9% to 99.6% at 8:27 AM. A single expensive SQL query saturated the db.t4g.micro instance.

Customer impact: recommendation service latency 25× (50ms → 1,244ms), throughput collapsed to ~20% of normal.

Root cause: Feature flag database-health-monitor toggled ON at 8:25 AM, activating 15 CPU-intensive full-table scans per request.

Causal chain:

  • Flag toggle → read_user_info_partial() called 3×/request
  • Each call runs 5 full-table scans with MD5
  • Single query = 100% of load spike (16.6 of 17 AAS)

Recommended action: Toggle flag OFF in etc/flagd/demo.flagd.json — CPU returns to baseline in 1–2 min.

Investigation concluded
Create PRView details at Resolve

02

Co-work with agents and engineers to resolve incidents

Teams of agents investigate incidents with your engineers to get to root cause and fix

Explore incidents
PostgreSQL High Rollback Rate
Fired: 9:14am yesterdaycluster: orders-db-cluster+3
APSP+4 more
Assessed4m 34sHypothesized3sVerified2m 47sConcluded

Theories

Root CauseHigh Confidence
Evidence (12)

PostgreSQL disk filled by data file growth on orders-db-cluster, not WAL accumulation

Contributors Lead Investigator Verifier

Causal chain

RDS volume reached 100% on orders-db-cluster at 04:01Z — 276 GB consumed in 24 hours from sustained writes
Storage autoscaling disabled on RDS instance (MaxAllocatedStorage = null) — volume could not grow
Database process killed by OS (OOM); rollback ratio alert fired 94 min later
Why did rollback rate spike at 08:30Z?What does WAL accumulation mean?
SteerSteer the investigation…

03

Automate operational tasks with background agents

Proactively run your operational workflows on a schedule or on trigger

Explore operational tasks
Wednesday, May 13
Deploy 7e2a91c · checkout-service success
by alex.park · all health checks passed

checkout-service: p99 drifted 2h post-deploy

deploy 7e2a91c rolled out cleanly — health checks passed, error rate at baseline. p99 latency started climbing at 12:14 PT (~2h after deploy) as traffic ramped. Currently sustained at ~387ms, up from a 7-day baseline of 142ms.

p99 latency · last 6h drift began 12:14 PT
deploy drift
Finding

The deploy completed cleanly. This signal only emerged once traffic ramped. Likely candidate: new code path in order-fulfillment.ts hits a slow query at p99 only under load.

Drives up to 5x faster MTTR and 75% higher productivity.

Customer story

How DoorDash keeps a billion-dollar ads platform resilient in production with AI.

87%faster investigations
See the full story

Enterprise Security and Production Readiness

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    Approved access only: SAML SSO, RBAC, and admin controls
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    Data protected: redaction, encryption, and retention controls
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    Customer isolated: data stays scoped to your org
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    Auditable: activity and support access logged
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    No external training: your data is not used to train models for others
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    Vulnerability SLAs: severity-based triage and fixes
Learn more
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Designed to meet stringent compliance standards, starting with SOC 2 Type II certification. Compliant with GDPR HIPAA to handle PII and PHI data.