Cirries DART AI™ is an AI-powered network observability platform built for enterprises operating in Amazon Web Services (AWS) and hybrid cloud environments. It provides deep network monitoring, application performance visibility, and packet-derived intelligence across VPCs, multi-account architectures, Direct Connect links, and on-premises integrations.
Traditional cloud monitoring tools rely on metrics, logs, and flow records. DART AI enhances AWS-native monitoring by analyzing packet-level metadata and correlating it with AWS telemetry to deliver precise root cause analysis, real-time anomaly detection, and actionable performance insights.
DART AI transforms packet-derived metadata into the industry richest network intelligence dataset and feeds that intelligence into Amazon Bedrock to power advanced, AI-assisted root cause analysis (RCA). This enables enterprises to reduce Mean Time to Resolution (MTTR), validate workload performance during migrations, detect anomalies before users are impacted, and confidently operate complex multi-VPC and hybrid architectures.
DART AI is ideal for organizations seeking advanced AWS network monitoring, hybrid cloud observability, migration performance validation, and automated incident response.
Key Capabilities:
Advanced AWS Network Monitoring DART AI delivers deep visibility into:
Application latency and response times
Packet loss, jitter, and microburst detection
East-west and north-south traffic analysis
Multi-VPC performance monitoring
Transit Gateway and Direct Connect traffic behavior
Encrypted traffic performance analytics
Unlike basic flow monitoring tools, DART AI processes packet-derived metadata (without exporting raw traffic) to provide scalable and secure performance intelligence.
Hybrid Cloud Observability:
Enterprises running workloads across AWS and on-prem environments require unified visibility. DART AI enables:
End-to-end service path validation
Cross-account and cross-region observability
Performance correlation across hybrid links
Network dependency mapping
This makes DART AI a powerful solution for hybrid cloud monitoring and multi-cloud visibility strategies.
AI-Driven Anomaly Detection:
DART AI establishes behavioral baselines and continuously monitors for:
Latency spikes
Throughput anomalies
Congestion events
Configuration-related degradation
Reachability failures
AI-assisted reasoning accelerates incident investigation and reduces Mean Time to Resolution (MTTR).
Cloud Migration Benchmarking:
DART AI supports AWS migration initiatives by providing:
Pre-migration performance baselines
Real-time validation during cutovers
Post-migration performance verification
SLA and application dependency validation
This ensures predictable migration outcomes and operational stability.
Native AWS Service Integration:
DART AI integrates seamlessly with core AWS services to support automation, security, and operational excellence.
Amazon Bedrock:
Integrate AI-powered incident summarization, remediation recommendations, and operational insights using Amazon Bedrock. DART AI combines network intelligence with generative AI to accelerate decision-making.
AWS Lambda:
Trigger automated workflows and remediation actions using AWS Lambda. DART AI enables event-driven automation for dynamic scaling, policy enforcement, and incident response.
Amazon EventBridge:
Publish structured network intelligence events to Amazon EventBridge for orchestration, alert routing, and ITSM integration.
AWS CloudTrail:
Correlate configuration changes, IAM updates, and infrastructure deployments captured in CloudTrail with observed network performance behavior.
Amazon VPC Flow Logs:
Enhance VPC Flow Logs with packet-derived performance analytics to gain deeper insight into dropped traffic, routing behavior, and application impact.
Benefits
Comprehensive AWS network visibility
AI-driven performance monitoring
Faster root cause analysis
Reduced operational overhead
Improved cloud migration outcomes
Proactive anomaly detection
Enhanced SLA validation
Alignment with AWS Well-Architected best practices
Cirries DART AI delivers deep, actionable intelligence beyond traditional monitoring.
DART AI transforms AWS telemetry and packet-derived data into real-time operational clarity so enterprises can operate cloud infrastructure with confidence, precision, and control.
Highlights
AI-Driven Root Cause Analysis: Cirries DART AI™ transforms packet-derived metadata and AWS telemetry into actionable intelligence using Amazon Bedrock, delivering real-time anomaly detection, AI-assisted root cause analysis (RCA), and faster Mean Time to Resolution (MTTR) across AWS and hybrid cloud environments.
Deep Hybrid Cloud Observability
Gain end-to-end visibility across multi-VPC, multi-account AWS architectures and on-prem environments with service path validation, Direct Connect monitoring, encrypted traffic analytics, east-west traffic analysis, and cross-region dependency mapping.
Deep Hybrid Cloud Observability: Gain end-to-end visibility across multi-VPC, multi-account AWS architectures and on-prem environments with service path validation, Direct Connect monitoring, encrypted traffic analytics, east-west traffic analysis, and cross-region dependency mapping.
AWS Marketplace now accepts line of credit payments through the PNC Vendor Finance program. This program is available to select AWS customers in the US, excluding NV, NC, ND, TN, & VT.
Pricing is based on actual usage, with charges varying according to how much you consume. Subscriptions have no end date and may be canceled any time. Alternatively, you can pay upfront for a contract, which typically covers your anticipated usage for the contract duration. Any usage beyond contract will incur additional usage-based costs.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
You pay by the hour based on the AWS EC2 instance type you run DART AI on. Each dimension maps to a specific instance size, so your cost tracks the compute resources you select. The options span general-purpose families like t2, t3, t3a, m4, m5, and its variants (m5a, m5d, m5n, m5ad, m5dn), plus a g4dn GPU-backed instance. You choose the instance that fits your workload and pay only for the hours it runs. Larger or specialized instances carry different hourly rates, letting you match capacity to your network's scale.
Top-of-mind questions for buyers
Am I charged when the instance running DART AI is stopped or powered off?
Billing meters running instance-hours. When the instance is stopped, the hourly software charge stops. Note that stopped instances may still incur underlying AWS storage fees, but the DART AI software rate applies only while the instance runs.
What does one billing unit represent for each instance type?
One unit is one hour of a single running EC2 instance of that type. Each dimension maps to a specific instance size and compute profile. If you run multiple instances, each accrues its own hourly charge separately.
Why is there a g4dn GPU instance option among mostly general-purpose types?
The g4dn.xlarge is GPU-backed, which suits the machine learning and generative AI processing DART AI uses for pattern learning, anomaly detection, and natural-language analysis. General-purpose t- and m-family instances handle standard observability workloads without GPU acceleration.
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DartCloudFormation – Automated AI Network Observability Deployment
DART AI is an advanced hybrid network observability and analytics platform designed to deliver deep visibility across AWS, multi-region cloud environments, and on-premises infrastructure. This CloudFormation delivery option enables automated deployment of DART directly into your AWS account using a secure, repeatable infrastructure-as-code model.
The solution provisions all required components, including:
Dedicated Amazon VPC with subnet, routing, and security configuration
EC2 instance running the DART AI engine.
IAM roles configured with least-privilege access
Amazon S3-based VPC Flow Log ingestion
Continuous multi-bucket Flow Log processing
Cross-region ENI discovery and monitoring
Amazon EventBridge integration for alert routing
AI-powered analysis via Amazon Bedrock
Persistent ingestion state management to prevent data loss
DART provides comprehensive observability across:
AWS VPC Flow Logs
Multi-region AWS environments
Hybrid cloud workloads
On-premises network integrations
External log and telemetry sources
The platform continuously ingests and analyzes network telemetry to detect anomalies, map traffic flows, correlate infrastructure changes, and generate AI-driven insights. It dynamically discovers Elastic Network Interfaces (ENIs) and maintains entity mapping to enhance operational visibility.
Hybrid Observability Capabilities:
DART extends beyond AWS-native monitoring by integrating on-premises traffic sources, enabling organizations to unify visibility across hybrid environments. This makes it ideal for enterprises operating mixed cloud and datacenter workloads.
Security & Compliance:
Deployed entirely within the customer’s AWS account
No embedded credentials
No outbound data sharing
IAM least-privilege access model
Region-aware and account-aware configuration
Infrastructure provisioned via audited CloudFormation template
The automated deployment reduces operational complexity while enabling rapid adoption. Organizations can scale monitoring scope across accounts, regions, and hybrid infrastructure as needed.
DART AI is well suited for:
Enterprise cloud security teams
Network operations teams (NOC)
Cloud infrastructure engineers
Hybrid cloud environments
Regulated industries requiring traffic visibility
By combining continuous telemetry ingestion with AI-powered analytics, DART transforms raw network data into actionable intelligence across hybrid cloud architectures.
CloudFormation Template (CFT)
AWS CloudFormation templates are JSON or YAML-formatted text files that simplify provisioning and management on AWS. The templates describe the service or application architecture you want to deploy, and AWS CloudFormation uses those templates to provision and configure the required services (such as Amazon EC2 instances or Amazon RDS DB instances). The deployed application and associated resources are called a "stack."
Version release notes
AWS native services integrated, Support network monitoring for hybrid environment
Additional details
Usage instructions
Template components
CloudFormation template
Usage instructions
"To use the DART AI AWS perform the following:
Deploy the CFT from AWS Marketplace which will deploy DART AI AWS on a separate instance.
SSH into Dart_Instance as rocky
ssh rocky@<public_ip_of_Dart_Instance>
select s3 buckets which user wants to read VPC flow logs from.
Open publicip.txt file to get DART server IP:
$ cat publicip.txt
Note: This PublicIP is to provide input for DART Packet sensor Collector-IP in Dart
After the system initiates, go to ""http://(IP of your instance):3020"" to log into DART using the following credentials:
Username: admin
Password: Password at $ cat /opt/cirries/nm-web/README.txt
Notes
AWS Resources created by Cirries DART template: Identity and Access Management (IAM) Role, Virtual Private Cloud (VPC), Ec2, Cloudwatch, Amazon bedrock, Lambda, s3
These policies grant specific actions on various AWS resources (Resource) for different services such as EC2, DynamoDB, etc., allowing or denying certain operations based on conditions or resource constraints. This template appears to define permissions related to EC2 instances, DynamoDB tables, and specific actions like termination based on instance types.
Please wait till Dart Cloudformation stack creation is completed then only create PacketSensor1Gbps and PacketSensor5Gbps
Stack deletion order: When deleting stack, PacketSensor(1Gbps and 5Gbps) stack will be first and then Dart Cloudformation.
Please subscribe to PacketSensor prodcts in order to get full use of solution.
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AWS infrastructure support
AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.
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