Telemetry IQ

Learn how the ELK Stack (Elasticsearch, Logstash, Kibana) works, how to set it up, and why it’s a go-to solution for log management, observability, and real-time analytics.

Explore 9 key types of telemetry data — from logs and traces to custom business metrics.

Compare Zabbix and Prometheus monitoring solutions to find the best fit for your environment.

Struggling with noisy, redundant logs and slow root cause analysis? Learn how to reduce telemetry volume, aggregate log data, and eliminate observability waste using AI-powered strategies from Sawmills.

Learn how to configure and use the OpenTelemetry Collector with this beginner-friendly guide. Step-by-step instructions for setting up receivers, processors, exporters, and service pipelines to unify your telemetry data across distributed systems.

Observability is critical, but its costs are spiraling out of control. Engineering teams are forced to choose between full visibility and budget constraints. We founded Sawmills to eliminate that choice.

Sawmill launches AI-powered telemetry management platform to improve observability data quality and prevent system outages while enabling vendor flexibility

Discover how to design, implement, and optimize an event pipeline. A technical guide for DevOps and engineers exploring real-time data processing, Kafka, and more.

Learn how to use the Logstash GeoIP filter for log processing and geolocation enrichment. This tutorial covers step-by-step configuration, examples, and best practices for developers and DevOps engineers.

Log sampling is the process of selecting a subset of log data to reduce volume while maintaining the usefulness of the data for debugging, monitoring, and alerting. By sampling intelligently, you can get insights from your logs without ingesting or storing every single log entry, which can be costly and inefficient.