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13 resultsIntroduction to Data Pipelines
What a data pipeline is, the core stages, and when to build vs buy.
CI/CD Pipeline Design — From Commit to Production
Stages, gates, deployment strategies, and keeping pipelines fast.
Observability — Logs, Metrics, and Traces
Implementing the three pillars with OpenTelemetry and making them actionable.
Progressive Delivery — Feature Flags, Canary, and Dark Launching
Techniques for releasing software confidently at any scale.
Time-Series Databases — InfluxDB vs TimescaleDB vs ClickHouse
Comparing purpose-built and general-purpose solutions for time-series data.
Product Engineering — Service Overview
APIs, dashboards, and services delivered with tests, CI/CD, and observability from day one.
gRPC Service Design — Protocol Buffers and Production Patterns
Proto file design, streaming, deadlines, interceptors, and error handling.
Service Mesh — Istio and Linkerd for Microservices
mTLS, traffic management, observability, and the operational cost of a service mesh.
Monitoring and Alerting for Data Pipelines
What to monitor, SLIs/SLOs for data, and building effective alerting.
DORA Metrics — Measuring Engineering Delivery Performance
Deployment frequency, lead time, MTTR, and change failure rate in practice.
Database Connection Pooling — Why It Matters and How to Configure It
Pool sizing, connection lifetime, and debugging pool exhaustion.
Building a Data Catalog with DataHub
Ingestion, metadata, search, and making your catalog actually useful.
Our observability stack for production services
Logs, metrics, traces — how we instrument every service we ship.