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Cortex

AI AppsAI DevOps & Cloud ToolsCTOs#16Per-seat · Google Cloud Platform

Cortex is an Engineering Operations Platform designed to enhance visibility, governance, and efficiency for engineering teams. It integrates with over 50 tools to streamline operations and reduce developer friction, enabling faster AI-driven software delivery without increased risk.

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Cortex is an Engineering Operations Platform that provides engineering teams with the tools needed to enhance visibility, governance, and operational efficiency. Built by engineers from companies like Uber and Twilio, Cortex aims to reduce developer friction and improve operational maturity. The platform integrates with over 50 native tools, including GitHub, GitLab, Jira, PagerDuty, Datadog, and AWS, allowing teams to connect their existing data sources seamlessly.

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Cortex operates on a per-seat pricing model that scales with organizational size, offering customized pricing plans. The platform is cloud-hosted on Google Cloud Platform, eliminating the need for users to maintain infrastructure. Implementation involves connecting data sources, building an engineering catalog, and configuring scorecards and workflows, with most teams seeing results within the first sprint.

Cortex's key capabilities include cross-team ownership enforcement, org-level DORA and DRIVE metrics, and AI-powered queries. These features help organizations maintain a cohesive operational structure and focus on areas that require improvement. The platform also offers a range of online learning courses through Cortex Academy, covering topics such as incident management, developer onboarding, and production readiness.

Cortex is designed for engineering teams looking to streamline their operations and improve software delivery performance. By providing a unified platform that connects various tools and data sources, Cortex enables teams to achieve measurable progress and accountability. However, it requires a dedicated owner or small team to manage integrations and ensure effective adoption.

  • CategoryAI DevOps & Cloud Tools
  • Pricing ModelPer-seat
  • DeploymentCloud
  • PlatformsGoogle Cloud Platform

  • Visibility and governance enhancement

  • 50+ native integrations

  • Cloud-hosted on GCP

  • Per-seat pricing model

  • Cross-team ownership enforcement

  • Org-level DORA & DRIVE metrics

  • AI-powered queries

  • Custom data via API and webhooks

  • Engineering catalog setup

  • Scorecard and workflow configuration

  • Operational maturity improvement

  • Developer friction reduction

  • Online learning courses

  • Dedicated management team required

  • No infrastructure maintenance

  1. Configure: Connect data sources and integrations

  2. Use: Build engineering catalog and configure workflows

  3. Optimize: Analyze insights and improve operations

  4. Maintain: Oversee integrations and scorecard updates

  • Operational Maturity
  • Integration Management
  • Data Visibility
  • Workflow Optimization
  • AI-Powered Queries

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