Phase #1
Stabilize First
A deterministic circuit breaker fires immediately — no waiting for root cause analysis. The system restores uptime using safe, guardrail-controlled actions you define.
Remediation-First,
the rest is noise.
DataAgent autonomously learns your entire application topology into living context. Paired with an adaptive remediation engine that keeps learning, you get incidents resolved faster, smarter, and more accurately.
How it Works
Phase #2
Deep Root Cause
While stabilization runs, a full RCA builds in the background — producing a complete evidence chain and clear recommendations. The analysis waits for your engineers, not the other way around.
Phase #3
Dry-run & Fix
Review the resolution plan, dry-run it, and let DataAgent execute the fix. Autonomy is earned incrementally, the system only acts on its own once it's proven right on that class of fault.
Capabilities
01 — Auto Remediation
MTTR from hours to seconds
Fixes incidents where your data already lives — resolving routine faults autonomously, often before anyone would have been page
02 — DEEP ROOT CAUSE ANALYSIS
We look at what changed, not just what broke
Evidence chain with clear recommendations ready when engineers sit down — never the other way around.
03 — Topology Discovery
Auto-discovered cluster map
Shared services, cloud bindings, and two-hop dependency paths — injected into the RCA engine at the start of every incident.
04 — Agentic Assistant
Filters noise, measures ROI
Incidents grouped by topology proximity, not just metric correlation. Business value and reliability trends — updated after every incident.
05 — Open Architecture
OOTB or build your own
Connect any ITSM, internal API, or custom metrics endpoint. The AI assistant guides you through generating the integration skill file.
06 — AWS Native
Enhance, Don't Replace
Just install an agent and go. Run DataAgent alongside your existing tools or standalone — no complex integrations, no overhead. No rip-and-replace. No vendor lock-in.
- AWS ALB
- AWS Amplify Hosting
- AWS AppSync
- AWS Aurora
- AWS Backup
- AWS Billing
- AWS CloudFront
- AWS CloudFront Logs
- AWS CloudTrail
- AWS CloudWatch Metric Streams with Amazon Data Firehose
- AWS CloudWatch Metrics
- AWS CloudWatch Metrics Processing
- AWS CloudWatch Terraform Module
- AWS CloudWatch: Data Collection Options
- AWS Config
- AWS Database Migration Service
- AWS Direct Connect
- AWS Directory Service
- AWS DynamoDB
- AWS EC2
- AWS ECS
- AWS ECS-EC2 using OpenTelemetry
- AWS Edge Insights
- AWS EFS
- AWS EKS
- AWS EKS Fargate
- AWS ElasticBeanstalk
- AWS Elemental Insights
- AWS EMR
- AWS Eventbridge
- AWS FSx
- AWS Inspector
- AWS Kinesis with Lambda
- AWS Kinesis with Lambda Function Terraform Module
- AWS Kinesis with Logstash
- AWS Lambda
- AWS Lambda Telemetry Exporter
- AWS Load Balancer
- AWS MSK & Kafka
- AWS Network Firewall
- AWS NLB
- AWS PCI Compliance
- AWS Redshift
- AWS Resource Metadata Collection
- AWS Route53
- AWS Secrets Manager
- AWS SNS Data Ingestion
- AWS Status
- AWS Status Logs
- AWS Step Functions
- AWS Terraform Module
- AWS VPN
- AWS WAF
- AWS WAFv2
Topology-driven
Remediation as Code
DataAgent works for you — autonomously learning your entire application topology by unifying logs, metrics, events, deployments, and configs into one living context. So when something breaks, it understands the change that caused it, not just the aftermath.
80% of errors can be autonomously solved
See how
- Seconds
- Circuit breaker response — no RCA required
- 0x
- Extra observability stack needed
- ↓90%
- Cost reduction — analyzing telemetry locally
- ↓99%
- MTTR reduction — hours to seconds
Sign up and discover how DataAgent covers your stack
No credentials. No commitment. Start with zero risk, and climb the ladder at your own pace.