Logflare

Logflare — structured log management with SQL queries on BigQuery/Postgres.

MonitoringModerate

Stack Components

PlatformLogflare

Why

Query logs with SQL, streaming ingest, integrates with Cloudflare Workers. OpenTelemetry became the CNCF instrumentation standard in 2024, used by 70%+ of cloud-native orgs.

Sentry and Datadog lead error tracking with 30k+ paying customers each.

When

Use for SQL-based log analysis. Avoid for non-SQL teams.

How

1. Deploy Logflare or use hosted 2. Configure log source 3. Query with SQL 4. Set up alerts 5. Add environment configuration — cp .env.example .env && edit values 6. Run tests — npm test or pnpm test to verify setup 7. Deploy — git push to trigger CI/CD or manual deploy

Example

SELECT * FROM logs WHERE level = 'error' AND timestamp > NOW() - INTERVAL '1 hour'; // Logflare — usage example import { Logflare } from "mon2-logflare"; const result = await logflare({ input: "data" }); console.log(result);

Common Problems

⚠BigQuery costs — use partitioning and clustering
⚠Schema evolution — use JSON columns for flexibility
⚠Configuration drift between environments — use infrastructure-as-code (Terraform/Pulumi) to keep dev/staging/prod identical

Best Practices

✓Partition by timestamp for query efficiency
✓Use materialized views for common queries
✓Set up health checks and graceful shutdown — handle SIGTERM to drain in-flight requests before exit

FAQ

What is Logflare and what projects is it for?

Logflare — structured log management with SQL queries on BigQuery/Postgres. It pairs layered technologies for end-to-end type safety and out-of-the-box deploys, fitting everything from MVPs to production SaaS.

How do I spin up a working demo with Logflare in 10 minutes?

Two steps: (1) Deploy Logflare or use hosted; (2) Configure log source. Get the local dev server running, then wire one real data source to verify the end-to-end loop.

What is the most common pitfall with Logflare and how do I avoid it?

The most common pitfall is: BigQuery costs — use partitioning and clustering. Avoid it by adding the matching checklist to your PR template and running type-check + lint + unit tests in CI — three gates before merge.

What are the best practices for Logflare?

Best practices for Logflare include: Partition by timestamp for query efficiency; Use materialized views for common queries; Set up health checks and graceful shutdown — handle SIGTERM to drain in-flight requests before exit. The first one — "Partition by timestamp for query efficiency" — should be set up at project init to avoid costly rework later.

When should I NOT choose Logflare?

Pick something else in three cases: (1) the team has zero experience with the core framework and the deadline is tight (learning-curve risk); (2) it's a pure content/marketing site (Astro is lighter); (3) you need very high throughput (>10k RPS) or strict-consistency microservices (Go/Rust). Logflare shines for mid-to-high complexity full-stack and API work — don't over-engineer simple static pages with it.