Blog
Best practices, tutorials, and product updates from the LogFlow team.
Stop using print() for debugging. Here's how to set up production-ready logging in Python with the standard library and beyond.
Centralized logging collects logs from every server, container, and service into one searchable place. Here's everything you need to know.
Elasticsearch, Logstash, and Kibana are powerful but expensive to operate. Here are 7 alternatives that don't need a platform team.
Docker Compose makes it easy to run multi-container apps. Here's how to make their logs actually useful.
Monitoring tells you something is broken. Observability tells you why. Logging gives you the evidence. Here's how they fit together.
Log levels control what gets recorded and what gets ignored. Here's when to use each level correctly.
Pino, Winston, Bunyan, or just console.log? Here's an honest comparison of Node.js logging libraries with benchmarks and recommendations.
Logging PII, API keys, or passwords creates compliance violations and security risks. Here's how to build automatic redaction.
Microservices turn one log stream into dozens. These seven patterns make distributed debugging possible.
ClickHouse uses 5-10x less storage and queries faster. Elasticsearch has better full-text search. Here's when to use each.
Alert fatigue is the silent killer of incident response. Here's how to build alerts your team actually responds to.
Most teams keep logs too long or not long enough. Here's how to set a retention policy that actually makes sense.
Plain text logs break the moment you need to filter or alert. Structured logging with JSON gives you queryable logs from day one.
Enterprise observability platforms charge enterprise prices. Here's what startups actually need — and why most are overpaying by 10x.
Log management is the process of collecting, storing, and analyzing log data from your applications and infrastructure. Here's everything you need to know.
Structured logs, correct log levels, trace IDs, and shipping logs to a centralized service. Here's how to log properly in Node.js.
Trace IDs connect logs across services. Learn how to implement distributed tracing without heavy infrastructure.
Not all logs are equal. Drop health checks, sample debug noise, and keep what matters — without losing visibility.