# What is Log Aggregation?

> Log aggregation is the process of collecting logs from many distributed sources into one centralized system where they can be searched, correlated, and analyzed together.

Source: https://openobserve.ai/glossary/what-is-log-aggregation/
Published: 2026-07-08
Term: Log Aggregation
Category: Logs
Related terms: what-is-log-management, what-is-telemetry-pipeline, three-pillars-of-observability

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**Log aggregation** is the process of gathering log data from every source in your environment - application containers, VMs, load balancers, databases, cloud services, network devices - and centralizing it in a single system where it can be searched and correlated. It solves the fundamental problem of distributed systems: the information you need during an incident is scattered across hundreds of machines that you can't SSH into one by one.

## Why aggregate logs?

- **Correlation** - a user-facing error might involve an ALB, three microservices, and a database; only centralized logs let you follow it across all of them
- **Ephemeral infrastructure** - containers and serverless functions disappear along with their local logs; aggregation is the only way those logs survive
- **Access & security** - engineers get one audited place to search instead of shell access to production
- **Alerting & analytics** - you can only alert on patterns you can see in one place

## How log aggregation works

A collection agent runs close to each source - as a DaemonSet on Kubernetes nodes, a sidecar, or a host daemon. Popular agents include **Fluent Bit**, **Fluentd**, **Vector**, and the **OpenTelemetry Collector**. The agent tails files or container stdout, attaches metadata (pod, namespace, host), optionally buffers against network failures, and forwards to a central backend - often through a [telemetry pipeline](/glossary/what-is-telemetry-pipeline/) that filters and transforms in flight.

Key design concerns: **backpressure handling** (what happens when the backend is slow), **metadata enrichment** (Kubernetes labels turn anonymous text into searchable context), and **noise reduction** (health checks and debug logs can be most of your volume and none of your value).

## Log aggregation with OpenObserve

OpenObserve ingests from all standard agents - see the [Fluent Bit on Kubernetes guide](/blog/how-to-send-kubernetes-logs-using-fluent-bit/) - plus syslog, OTLP, and an Elasticsearch-compatible bulk API. Aggregated logs land on object storage, so centralizing *everything* stays affordable even at [Kubernetes scale](/blog/monitor-kubernetes-logs-at-scale/).