Practical architecture, patterns, and operational practices for reliable data pipelines, catalogs, and platform services.
A practical reference containing architecture templates, responsibilities, SLAs, onboarding and incident runbooks, a pipeline deployment checklist, and a concise decision guide for batch vs streaming. Designed so platform teams can standardize choices, speed onboarding, and reduce brittle, one‑off pipelines.
Interactive operational checklist to run consistent daily checks on pipeline health, SLAs, storage cost, retention, schema/contract changes, and incident triage. Records metrics, notes, runbook links, and follow-up tickets for traceability.
Practical architecture patterns, decision criteria, and operational responsibilities for choosing, building, and running reliable data platforms (lakehouse, event-driven, hybrid). Includes pattern overviews, trade-offs, governance implications, ingestion and storage guidance, a streaming-vs-batch decision flow, recommended SLAs and monitoring scope, cost-control heuristics, and a starting checklist for platform launches.
A practical, ready-to-adapt runbook template for ETL/ELT and streaming pipelines: owners, SLAs/SLOs, daily health checks, monitoring, alert classification, a step-by-step triage playbook (with command templates), rollback and remediation procedures, escalation matrix, communication templates, post-incident review prompts, and an onboarding checklist. Includes example entries for batch jobs and streaming connectors.
A practical, implementable dashboard layout and widget catalogue to monitor ingestion success, pipeline latency, data freshness, schema changes, contract violations, consumer SLAs, and suggested alerting and ownership so teams detect problems early and route ownership to reduce downstream analytic failures.
A practical, editable playbook and template to define producer–consumer expectations for data integrations: schema guarantees, freshness and availability SLOs, ownership, change processes, validation tests, monitoring, onboarding steps, and a sample signed agreement. Includes clear examples, recommended metrics, common pitfalls, and ways to turn the template into an interactive, versioned contract registry.
A practical, fillable template and guidance for defining tracked events and telemetry so analytics are reliable, discoverable, and actionable. Includes clear column definitions, naming conventions, validation rules, sample entries, and a lightweight governance checklist for maintaining the dictionary as the single source of truth.
A practical dashboard wireframe, metric definitions, alert guidance, and playbook touchpoints to monitor pipeline reliability, latency, freshness, schema stability, and downstream consumer impact — with suggested thresholds, triage steps, and implementation notes.