Writing blog posts for tech
Tech blogging isn’t marketing fluff for us - it’s an easy way to share our learnings, failures and success. At Statista, we operate a large, evolving platform with many teams and a high bar for reliability. Writing short, focused blog posts helps us turn local learnings into shared leverage.
TL;DR
- Blog posts spread tacit knowledge across teams.
- They reduce duplication, unblock peers, and cut onboarding time.
- They improve decision quality by surfacing context and trade‑offs.
Why this matters at Statista
Knowledge turns into leverage
- We frequently solve similar problems across data ingestion, ML/analytics, content workflows, APIs, and platform engineering. A post that captures "what worked, what didn’t, and why" prevents the next team from rediscovering it.
- Posts are faster to produce than full docs and easier to discover than Slack threads.
Better decisions, fewer meetings
- Blog posts complement ADRs: ADRs capture the final decision; posts explain the journey, trade‑offs, and alternatives. This context reduces back‑and‑forth and aligns stakeholders asynchronously.
- Linking posts to services clarifies dependencies and nudges toward consistent patterns.
Faster onboarding, lower bus factor
- New joiners learn our stack, norms, and pitfalls from real stories, not just reference docs.
- Teams become more resilient when critical knowledge is written down and searchable.
Good topics to write about
- Production learnings: incident reviews, load tests, performance wins, cost reductions, scaling stories.
- Architecture and platform patterns: service decomposition, eventing, data contracts, zero‑trust, feature toggles, observability, golden paths.
- Practical how‑tos: "How we debug slow pages," "Setting up service communication between services," "Migrating a queue safely," "Test strategies for flaky pipelines."
- Tooling and DX: CI/CD improvements, developer environments, build times, security workflows, linting/type safety.
- Experiments and decisions: trade‑off analyses, spike results, why we chose X over Y.
What "good" looks like
- Actionable: code snippets, commands, dashboards, metrics, or checklists the reader can reuse.
- Honest about trade‑offs: constraints, risks, and what you’d do differently next time.
- Linked: reference related docs, ADRs, runbooks, dashboards, and repos.
- Searchable title and tags: think of the keywords your future self would use.
How this fits our docs
- Blog posts are narrative and timely—great for sharing context fast.
- ADRs are canonical decisions—great for long‑term contracts.
- Reference docs are stable sources of truth.
Use a post to socialize learning, link to an ADR for the decision, and update reference docs when behavior becomes standard.
Call to action
If you solved something non‑obvious this week, write 5–10 bullet points today and shape them into a post tomorrow. Link your post in team channels and add it to related docs. Future you—and future Statista engineers—will thank you.
How to publish a post
Publishing a blog post is much like creating docs. For step-by-step guidance, see our blog post instructions.