Mathias Paulenko
Software Engineer & Founder of StackPractices
Mathias Paulenko
Software Engineer
Software engineer with 12+ years of experience building production systems across Python, JavaScript, React, and DevOps. I have contributed to enterprise projects spanning CI/CD pipelines, API design, cloud infrastructure, and full-stack development.
StackPractices is my personal project, born from a simple belief: great documentation should be copy-paste ready. Every recipe, pattern, and guide on this site is designed to save you time and help you ship faster.
Published Works (1032)
Observability — Metrics, Logs, and Traces Complete Guide
A practical guide to observability: the three pillars (metrics, logs, traces), implementing with Prometheus, Grafana, Loki, Tempo/Jaeger,...
OpenTelemetry — Implementation Guide for Metrics, Logs
A practical guide to OpenTelemetry: instrumentation, collectors, exporters, and wiring OTLP to backends like Jaeger, Prometheus, and...
Platform Engineering — Building Internal Developer Platforms
A practical guide to platform engineering: IDP concepts, golden paths, self-service infrastructure, developer experience, and tools like...
Service Mesh — Istio, Linkerd, and Sidecar Architecture
A practical guide to service mesh: what it is, when to adopt it, core concepts (sidecar, mTLS, traffic management), and comparing Istio vs...
Site Reliability Engineering
A practical guide to SRE: defining SLIs, SLOs, and SLAs, managing error budgets, toil reduction, on-call rotations, and building a culture...
Alert Management: On-Call Alerting That Works
A practical guide to alert management: reducing alert fatigue, defining severity levels, escalation policies, on-call rotation design, and...
Distributed Tracing: End-to-End Request Flow Across
A practical guide to distributed tracing: instrumenting applications, trace propagation, sampling strategies, and diagnosing latency in...
Incident Response: Structured Handling for Production
A practical guide to incident response: declaring incidents, building an incident command structure, communication protocols, and reducing...
Log Aggregation — Centralize, Search
A practical guide to log aggregation: structured logging, shipping strategies, retention policies, and building searchable log pipelines...
Metrics and Dashboards
A practical guide to metrics and dashboards: instrumenting applications, choosing metric types, building useful dashboards, and creating...
Blameless Postmortems: Learning from Incidents Without Blame
A practical guide to conducting blameless postmortems: capturing timelines, identifying root causes, writing useful follow-ups, and...
API Rate Limiting — Design Fair and Useful Throttling
A practical guide to API rate limiting: token bucket, leaky bucket, sliding window algorithms, choosing limits, and implementing resilient...
Capacity Planning — Forecast, Scale
A practical guide to capacity planning for cloud and on-premise infrastructure: demand forecasting, load testing, auto-scaling strategies,...
Cloud Cost Optimization
A practical guide to cloud cost optimization: right-sizing, reserved instances, spot instances, tagging strategies, and FinOps practices...
Disaster Recovery: RTO, RPO, and Resilient Recovery Runbooks
A practical guide to disaster recovery planning: defining RTO and RPO, backup strategies, multi-region failover, and building recovery...
Clean Architecture
A practical guide to Uncle Bob's Clean Architecture: organize code into layers so that frameworks, UI, and databases are details, not...
CQRS — Command Query Responsibility Segregation
A complete guide to CQRS: separate read and write models to optimize performance, scalability, and team autonomy in complex domains.
Event Sourcing — State as a Sequence of Events
A detailed analysis into Event Sourcing: persist state changes as events, reconstruct aggregates from history, and build audit trails by...
Hexagonal Architecture — Ports, Adapters, and Testability
A complete guide to Hexagonal Architecture (Ports and Adapters): structure applications so domain logic is isolated from frameworks,...
Modular Monolith — A Pragmatic Architecture
A practical guide to Modular Monoliths: combine the simplicity of monoliths with the modularity of microservices through clear bounded...
ACID vs BASE — Consistency Models Explained
A practical guide comparing ACID and BASE consistency models: when to choose strong consistency, when to accept eventual consistency, and...
Database Normalization — 1NF to 5NF Explained
A visual guide to database normalization: learn 1NF through 5NF with practical examples, when to apply each form, and how to balance...
Database Replication — Master-Slave, Multi-Master
A practical guide to database replication strategies: master-slave, multi-master, synchronous vs asynchronous, and how to handle failover...
Database Indexing Strategies — From B-Trees to BRIN
A practical guide to database indexes: B-Trees, Hash, GIN, GiST, BRIN, and partial indexes. Learn when to use each and how to avoid common...