> ## Documentation Index
> Fetch the complete documentation index at: https://clickhouse.com/docs/llms.txt
> Use this file to discover all available pages before exploring further.

# Managing Self-managed ClickHouse Observability

> Managing Self-managed ClickHouse Observability

> [!NOTE]
>
> This page covers **self-managed ClickHouse Observability**. For the recommended fully managed experience, see the documentation [here](https://clickhouse.com/docs/clickstack/observability/managing/overview.md).

This section describes how to manage Self-managed ClickHouse Observability.

## Admin guides

| Section | Description |
| - | - |
| [Configuration options](https://clickhouse.com/docs/clickstack/self-configured/managing/config.md) | Configuration options available for each component. |
| [Estimating resources](https://clickhouse.com/docs/clickstack/self-configured/managing/estimating-resources.md) | Guidance on sizing compute resources for Self-managed ClickHouse Observability based on ingest volume. |
| [Going to production](https://clickhouse.com/docs/clickstack/self-configured/managing/production.md) | Recommended steps and best practices before running the service in production. |
| [Isolating read and write](https://clickhouse.com/docs/clickstack/self-configured/managing/isolating-read-write.md) | Separating ingestion and query workloads onto dedicated compute with ClickHouse Cloud warehouses. |
| [Materialized views](https://clickhouse.com/docs/clickstack/self-configured/managing/materialized-views.md) | A detailed guide to using materialized views to accelerate query performance. |
| [Performance tuning](https://clickhouse.com/docs/clickstack/self-configured/managing/performance-tuning.md) | A comprehensive guide to tuning the service for large-scale workloads. |
| [RBAC](https://clickhouse.com/docs/clickstack/observability/managing/rbac.md) | Configure role-based access control to manage team permissions for dashboards, saved searches, and sources. |
| [Managing TTL](https://clickhouse.com/docs/clickstack/self-configured/managing/ttl.md) | Managing data retention with TTL (time-to-live) in the service. |

## Core ClickHouse concepts

Most management tasks require familiarity with the underlying ClickHouse database. We recommend reviewing the following core ClickHouse concepts outlined below before performing administrative or performance-related operations.

| Concept | Description |
| - | - |
| **Tables** | How data sources map to underlying ClickHouse tables. ClickHouse tables primarily use the [`MergeTree`](https://clickhouse.com/docs/reference/engines/table-engines/mergetree-family/mergetree) engine. |
| **Parts** | How data is written as immutable parts and merged over time. |
| **Partitions** | Logical groupings of table parts that simplify data management, querying, and optimization. |
| **Merges** | The background process that combines parts to reduce the number of parts queried and maintain performance. |
| **Granules** | The smallest unit of data read and pruned during query execution. |
| **Primary (ordering) keys** | How the `ORDER BY` key defines on-disk data layout, compression, and query pruning behavior. |

These concepts are fundamental to ClickHouse performance and will help you make informed administrative decisions when managing Self-managed ClickHouse Observability.