Resources
Playbooks & Guides
In-depth guides for building analytics infrastructure that works. Learn from our experience implementing PostHog, ClickHouse, Matomo, and Jitsu at scale—with full transparency and no vendor lock-in.
PostHog
The Complete Guide to PostHog Tracking Plans
How to design an event taxonomy that scales. Naming conventions, property standards, and governance that prevents tracking debt.
PostHogFeature Flags and A/B Testing with PostHog
A practical guide to running experiments. From hypothesis to statistical significance, with real examples.
PostHogCohort Analysis and Retention in PostHog
Understanding user retention through cohorts. How to segment users and measure what matters for growth.
Databuddy & Cookieless Analytics
Getting Started with Databuddy Cookieless Analytics
How to deploy Databuddy and start collecting accurate analytics data without cookies, consent banners, or privacy concerns.
PrivacyCookieless Analytics: The Complete GDPR Compliance Guide
Understanding how cookieless tracking works and why it eliminates GDPR consent requirements while improving data accuracy.
DatabuddyDatabuddy vs Traditional Analytics: Privacy and Performance
Comparing Databuddy's cookieless approach with GA4 and other traditional analytics. Performance, privacy, and accuracy tradeoffs.
Matomo
Self-Hosting Matomo: Complete Setup Guide
Step-by-step guide to deploying Matomo on your own infrastructure. Docker, Kubernetes, and bare metal options covered.
MatomoMatomo vs Google Analytics: Privacy-First Comparison
An honest comparison focusing on data ownership, GDPR compliance, feature parity, and total cost of ownership.
MatomoGDPR-Compliant Analytics with Matomo
Configure Matomo for full GDPR compliance without consent banners. Cookie-less tracking, data anonymization, and retention policies.
ClickHouse
Event Data Modeling in ClickHouse
Schema design for analytics at scale. Partitioning strategies, sorting keys, and compression that actually performs.
ClickHouseClickHouse vs BigQuery: When to Choose What
An honest comparison of analytics databases. Performance, cost, and operational considerations for different use cases.
Jitsu & Event Pipelines
Building Event Pipelines with Jitsu
From collection to destination. How to set up Jitsu for reliable event routing to PostHog, ClickHouse, and beyond.
Data QualityEvent Schema Governance: Preventing Tracking Chaos
How to maintain data quality as your tracking grows. Validation, documentation, and processes that scale.
Self-Hosted Infrastructure
Designing Self-Hosted Analytics Architecture
Architecture patterns for running PostHog, Matomo, and ClickHouse on your own infrastructure with high availability.
InfrastructureRunning Analytics Workloads on Kubernetes
Helm charts, resource management, and scaling strategies for analytics tools on K8s.
InfrastructureOwn Datacenter vs Cloud: Analytics Infrastructure Decisions
When to self-host in your datacenter vs using AWS/GCP/Azure. Cost, control, and compliance tradeoffs.
Analytics Strategy
Warehouse-First vs Product Analytics: Which Path?
When to start with a warehouse and when to use product analytics tools. A framework for architectural decisions.
AttributionMulti-Touch Attribution Without the Complexity
Practical attribution models that work in the real world. Position-based, time-decay, and when to use what.
Data QualityData Quality for Event Streams
How to ensure your events are accurate, complete, and timely. Monitoring, alerting, and remediation strategies.
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