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The AI-powered Internal Developer Portal for engineering reliability and efficiency.

Cortex is a leading Internal Developer Portal (IDP) designed to manage microservices sprawl and enforce engineering standards through AI-driven insights. In the 2026 market, Cortex has evolved beyond a static service catalog into an 'Engineering Intelligence Platform.' It leverages a proprietary AI engine, Cortex AI, to provide natural language querying over complex infrastructure, automated remediation suggestions, and predictive reliability scoring. The technical architecture centralizes metadata from across the DevOps toolchain—including GitHub, Kubernetes, Datadog, and AWS—into a unified graph. This allows engineering leaders to define 'Scorecards' that measure service health, security compliance, and operational maturity. For developers, it provides a 'Golden Path' through automated scaffolding (Service Templates), reducing cognitive load and accelerating time-to-production. The platform is strategically positioned to solve the 'Developer Experience (DevEx)' gap by automating the governance of distributed systems while providing executive-level visibility into engineering velocity and technical debt.
Cortex is a leading Internal Developer Portal (IDP) designed to manage microservices sprawl and enforce engineering standards through AI-driven insights.
Explore all tools that specialize in microservices governance. This domain focus ensures Cortex delivers optimized results for this specific requirement.
LLM-powered interface that allows developers to query infrastructure status using natural language (e.g., 'Which services are non-compliant with SOC2?').
Templates that include pre-configured CI/CD pipelines, security headers, and monitoring sidecars.
Real-time evaluation of services against arbitrary data points from integrated tools.
Tracks non-service entities like S3 buckets, RDS instances, and API Gateways.
React-based framework to build custom UI components within the portal.
Automated visualization of upstream and downstream service dependencies via trace data.
Integration with Kubernetes to track temporary environments for QA/Preview.
Connect Version Control System (GitHub/GitLab/Bitbucket) via OAuth or App installation.
Execute automated discovery to populate the Global Service Catalog.
Install the Cortex Kubernetes Agent for real-time cluster metadata syncing.
Define 'Domains' to group services by business unit or ownership.
Configure Third-Party Integrations (Datadog, Jira, Snyk, PagerDuty).
Create your first Scorecard using YAML or the UI to set reliability benchmarks.
Enable Cortex AI to index your documentation and infrastructure for NLP queries.
Setup Service Templates for self-service 'Golden Path' repo creation.
Configure RBAC and Team permissions via Okta or Azure AD.
Launch the Developer Portal to the engineering org and monitor adoption metrics.
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"Users praise the platform's ability to drive cultural change in engineering standards and its robust integration ecosystem, though initial setup requires significant YAML configuration."
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