Cardinal's AI-powered Observer enables teams to understand the business impact of production incidents, and remediate them faster. By automatically analyzing high-dimensionality and high-cardinality metrics, and summarizing distributed traces as business flows, Cardinal instantly brings actionable insights to the forefront, without the need to manually ask questions of your data.
Cardinal's AI-powered Observer enables teams to understand the business impact of production incidents, and remediate them faster. By automatically analyzing high-dimensionality and high-cardinality metrics, and summarizing distributed traces as business flows, Cardinal instantly brings actionable insights to the forefront, without the need to manually ask questions of your data.
Cardinal is an intelligent observer that builds opinions on the health of your business by auto-summarizing distributed traces as business flows (e.g. sign-up flow, checkout flow, etc.). When Cardinal detects a degradation in the health of these critical business flows, it analyzes the impact by automatically slicing and dicing high-dimensionality and high-cardinality data. Cardinal eliminates the artificial boundaries between metrics, logs, and traces by performing implicit joins across these datasets, thereby reducing manual toil and reliance on tribal knowledge scattered throughout your organization.
Additionally, Cardinal comes with intelligent cost controls included - set a desired target spend budget for your current vendor, and let Cardinal achieve it for you automatically by identifying and reducing wasteful and redundant data. Cardinal is OpenTelemetry-native, and integrates with most major Observability vendors out-of-the-box.
Uplevel Observability in your organization today, with Cardinal.
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Pricing is based on the duration and terms of your contract with the vendor. This entitles you to a specified quantity of use for the contract duration. If you choose not to renew or replace your contract before it ends, access to these entitlements will expire.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
Cardinal is sold through a single contract dimension, priced in units of Cardinal SaaS. You buy the software under one contract line rather than choosing between separate tiers or instance sizes. Pricing scales with the number of units you commit to, not with query volume, seats, or data queried. Cardinal runs in your own cloud environment, so infrastructure costs like object storage and compute stay on your own cloud bill separate from what you pay for this listing.
Top-of-mind questions for buyers
What does one unit of Cardinal SaaS cover, and how is it counted?
One unit is a Cardinal SaaS license under a single contract. It grants access to the observability data lake and agent runtime that index and query your telemetry. The listing does not count units by seat, query volume, or data queried. Confirm the exact per-unit measure with the vendor before committing.
Does buying this listing cover the cloud infrastructure Cardinal runs on?
No. Cardinal runs inside your own cloud environment. Object storage for telemetry, metadata databases, and Kubernetes compute stay on your own cloud bill. AI analysis runs against your own cloud LLM endpoints and is billed per token by that provider. This listing covers the software only, not those infrastructure costs.
Does my bill rise if agents run more queries or store more data?
The listing price does not meter queries. There are no per-query charges or query rate limits in the software license. Agents can run investigations without added software fees. However, storing more telemetry and running more compute raises the underlying cloud costs on your own bill, separate from this listing.
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Automatically summarizes distributed traces as business flows to provide structured understanding of application behavior and transaction paths
High-Dimensionality Metrics Processing
Analyzes high-dimensionality and high-cardinality metrics through automatic slicing and dicing to identify root causes of performance degradation
Cross-Dataset Correlation
Performs implicit joins across metrics, logs, and traces datasets to eliminate manual correlation and reduce investigation overhead
OpenTelemetry Integration
Provides native support for OpenTelemetry standards and integrates with major observability vendors without requiring custom configuration
Automated Cost Optimization
Includes intelligent cost controls that identify and reduce wasteful and redundant data collection to achieve target spend budgets automatically
Behavioral Data Collection
Comprehensive collection of behavioral data from first-party data sources including websites, mobile apps, and other sources
Data Enrichment and Governance
Built-in data enrichment and governance capabilities for processing and managing collected behavioral data
Real-time Stream Processing
Integration with Amazon Kinesis to process and operationalize large streams of data into AWS services and external platforms
Multi-format Data Storage
Support for storing structured, unstructured, and semi-structured data sets in Amazon S3 object storage with AWS Glue cataloging
Privacy-centric VPC Deployment
Deployment within client's VPC and Amazon sub-account for privacy-centric data infrastructure management
Enterprise Data Source Integration
Support for enterprise data sources including AppDynamics, Splunk, New Relic, Datadog, SignalFx, Oracle, ServiceNow, Jira, Gitlab, Dynatrace, Snowflake, MongoDB, and Wavefront
Authentication and Access Control
Enhanced LDAP and SAML authentication with granular access control capabilities
Observability Data Aggregation
Unified visualization and alerting across logs, metrics, traces, and other observability data types
Reporting and Usage Analytics
Built-in reporting functionality and usage insights for monitoring adoption and system utilization
Security and Compliance Features
Advanced security controls including enhanced access management and security-focused administrative capabilities
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