Teams¶

Welcome to the Tamedia Core Engineering teams overview. This page provides information about each product team using the Fission platform.

Overview¶

All teams leverage dai for shared infrastructure while maintaining their own AWS accounts for product-specific resources.

Team	Members	Services	AWS Account	Kubernetes Namespace
Disco	12	8	disco-prod	disco
Unity	15	12	unity-prod	unity
Discovery	10	6	discovery-prod	discovery
Jazz	8	5	jazz-prod	jazz
dai	6	15	dai	platform

Disco¶

Content Management & Publishing Platform

Disco is the core content management system powering Tamedia's digital publications.

Focus Areas:

Article publishing and workflow
Multi-brand content distribution
Editorial tools and interfaces
Media asset management

Tech Stack:

Backend: Python, Django
Frontend: React, TypeScript
Database: PostgreSQL (RDS)
Cache: Valkey (Redis-compatible)
Storage: S3 + CloudFront CDN

Infrastructure:

Kubernetes Namespace: disco
AWS Account: disco-prod
Deployed Services: 8 microservices
Team Size: 12 engineers (Disco + FUW teams)

Key Services:

disco-api - Core content API
disco-cms - Editorial interface
disco-worker - Background job processing
disco-search - Content search service

Resources:

Contact:

Product Owner: TBA
Tech Lead: TBA
Office Hours: Wednesdays 14:00-15:00 CET

Unity¶

Multi-Brand Publishing Platform

Unity provides unified content distribution across Tamedia's portfolio of brands.

Focus Areas:

Cross-brand content syndication
Feed aggregation and distribution
Brand-specific customization
Performance optimization

Tech Stack:

Backend: Node.js, TypeScript
Frontend: React, Next.js
Database: PostgreSQL (RDS)
Storage: S3
API: GraphQL

Infrastructure:

Kubernetes Namespace: unity
AWS Account: unity-prod
Deployed Services: 12 microservices
Team Size: 15 engineers (Unity + Feed teams)

Key Services:

unity-api - Unified content API
unity-frontend - Web application
unity-feed - Feed aggregation service
unity-cache - Caching layer

Resources:

Contact:

Product Owner: TBA
Tech Lead: TBA
Office Hours: Tuesdays 10:00-11:00 CET

Discovery¶

Content Discovery & Recommendations

Discovery powers personalized content recommendations and user engagement features.

Focus Areas:

Machine learning recommendations
User behavior analytics
A/B testing framework
Personalization engine

Tech Stack:

Backend: Python, FastAPI
ML: TensorFlow, scikit-learn
Database: PostgreSQL (RDS)
Cache: Redis
Analytics: Amazon Athena

Infrastructure:

Kubernetes Namespace: discovery
AWS Account: discovery-prod
Deployed Services: 6 microservices
Team Size: 10 engineers

Key Services:

discovery-api - Recommendation API
discovery-ml - ML model serving
discovery-worker - Training pipeline
discovery-analytics - Analytics processing

Resources:

Contact:

Product Owner: TBA
Tech Lead: TBA
Office Hours: Thursdays 15:00-16:00 CET

Jazz¶

Audio & Multimedia Platform

Jazz handles audio content, podcasts, and multimedia distribution.

Focus Areas:

Podcast hosting and distribution
Audio streaming infrastructure
Multimedia asset management
Analytics and metrics

Tech Stack:

Backend: Go
Frontend: React
Database: PostgreSQL (RDS)
Storage: S3 + CloudFront
Streaming: AWS MediaConvert

Infrastructure:

Kubernetes Namespace: jazz
AWS Account: jazz-prod
Deployed Services: 5 microservices
Team Size: 8 engineers

Key Services:

jazz-api - Audio content API
jazz-player - Web player
jazz-transcoder - Media processing
jazz-analytics - Usage analytics

Resources:

Contact:

Product Owner: TBA
Tech Lead: TBA
Office Hours: Fridays 13:00-14:00 CET

dai¶

Internal Developer Platform

dai builds and maintains the shared infrastructure that powers all Tamedia engineering teams.

Focus Areas:

Kubernetes cluster management
CI/CD pipeline automation
Observability and monitoring
Developer experience tools
GenAI platform integration

Tech Stack:

Infrastructure: Terraform, AWS
Orchestration: Kubernetes, ArgoCD
Observability: Datadog, OpenCost
Portal: Backstage
Automation: Python, Go

Infrastructure:

Kubernetes Namespace: platform
AWS Account: dai
Managed Services: 15+ platform services
Team Size: 6 engineers

Platform Services:

Amazon EKS (Kubernetes)
ArgoCD (GitOps)
Datadog (Observability)
Backstage (Developer Portal)
VPC Lattice (Service Mesh)
Lacework (Security)
OpenCost (Cost Management)

Resources:

Contact:

Platform Lead: TBA
Office Hours: Tuesdays 14:00-15:00 CET
On-call: PagerDuty rotation

Getting Started with a Team¶

New to a team? Here's how to get onboarded:

1. Access Setup¶

Request access via #dai:

[ ] AWS SSO credentials
[ ] Kubernetes namespace access
[ ] GitHub organization membership
[ ] Datadog team dashboard
[ ] Team Slack channels

2. Local Development¶

# Configure AWS CLI
aws configure sso
# SSO Start URL: https://tamedia.awsapps.com/start

# Configure kubectl
aws eks update-kubeconfig \
  --region eu-central-1 \
  --name dai-platform-cluster

# Verify access
kubectl get pods -n <your-team-namespace>

3. Team Resources¶

Each team has:

GitHub Repositories - Source code and documentation
Kubernetes Namespace - Isolated deployment environment
Datadog Dashboard - Pre-configured monitoring
Slack Channels - Team communication
Confluence Space - Team wiki and runbooks

4. Deploy Your First Service¶

Follow the Getting Started Guide to deploy a service to your team's namespace.

Team Collaboration¶

Cross-Team Communication¶

dai: Infrastructure, deployment, monitoring help
Security: Compliance, vulnerability scanning, access management
Architecture: Design reviews, technical decisions
Product: Feature planning, roadmap alignment

Shared Resources¶

All teams share:

Kubernetes cluster
ArgoCD for deployments
Datadog for observability
Backstage for service catalog
VPC Lattice for cross-account networking

Support Channels¶

Need	Channel	Response Time
Platform issues	#dai	< 1 hour
Security concerns	#security	< 2 hours
General questions	#engineering	Best effort
Incidents	PagerDuty	Immediate

Teams page v1.0 - Last updated: 2025-01-05