Tag: logs

How to configure journald.conf to customize journald logging in Linux

journald and syslog are two popular logging systems used in Linux environments. While they share some similarities, they have distinct differences in their design, functionality, and use cases.

What is Journald, what is it's log file location, how to do log rotation for it. Also learn how OpenObserve uses otel-collector to provide centralized logging for Journald.

What are the differences between OpenObserve and grafana

Understanding how to analyze Google Workspaces audit logs using Google Cloud Pub/Sub and OpenObserve.

Understanding how to send Okta logs to OpenObserve for better security and observability.

Understanding how to send GCP logs to OpenObserve using pub sub and OpenObserve builtin support

VRL provides a powerful way to parse syslog messages,using the built-in `parse_syslog` . Some syslog messages may not be parsed effectively using the built-in `parse_syslog` function. In such cases, `parse_regex` can be used to extract meaningful data from syslog messages.

Internet Information Services (IIS) is a flexible, secure and manageable Web server for hosting anything on the Web. Monitoring and analyzing IIS logs can provide valuable insights into the performance and health of your web applications. In this blog, we will walk through the process of capturing IIS logs using the OpenTelemetry Collector (otel-collector), parsing them with Vector Remap Language (VRL), and sending them to OpenObserve for analysis.

There are times when you would like to filter logs at source. This blog post shows how to do that when capturing logs using otel-collector.

Sending logs from NodeJS application to OpenObserve using Pino is easy. This blog is a step by step guide to do that.

Setup Fluent Bit on Ubuntu for Efficient Log Forwarding

Sending logs from Kubernetes to OpenObserve using FluentBit is easy. This blog is a step by step guide to do that.

OpenObserve is an open source, cloud native open source observability platform that provides ~140x (YMMV. Could be higher or lower based on data entropy) lower storage costs compared to Elasticsearch. Use cases include real-life log data, significantly reduces operational costs, and improves ease of use. It can scale to petabytes of data, is highly performant, and allows you to sleep better at night 😴. If you are looking for an observability tool for logs, metrics, and traces, take a look at OpenObserve...