# UnifyLogs

> UnifyLogs is a real-time log intelligence platform for scale-ups and mid-sized teams. It unifies application, Kubernetes, infrastructure, database, and security logs into one searchable operational memory so teams can move from anomaly to root cause without operating a fragmented log stack.

UnifyLogs is built on Apache Doris and combines fast retrieval with analytical SQL. Customers can deploy it in their own environment, across a connected boundary, or on a dedicated managed path. The recommended adoption model is a parallel evaluation of one costly, noisy, or high-value workload with acceptance criteria agreed before expansion.

Important notes:

- The primary value is faster investigation, useful retention, and lower platform burden—not database administration features.
- UnifyLogs is not presented as a complete SIEM replacement.
- Published third-party benchmarks help frame evaluation questions; they are not performance guarantees for a customer workload.
- Product fit and economics should be validated with representative data, queries, concurrency, retention, and operator effort.

## Product and evaluation

- [UnifyLogs overview](https://unifylogs.com/): Product value, customer pain, investigation flow, outcomes, deployment options, and workload-first evaluation.
- [Use cases](https://unifylogs.com/use-cases): Entry point for implementation-oriented use cases.
- [Technology comparison](https://unifylogs.com/compare): Source-led comparison of Apache Doris with ClickHouse, Elasticsearch, Snowflake, OpenSearch, Druid, and Pinot, including benchmark interpretation and workload-fit guidance.
- [Plan an evaluation](https://unifylogs.com/contact): Define the first workload, current operating cost, and measurable success criteria.

## Implementation guides

- [Build a first central log platform](https://unifylogs.com/use-cases/first-central-log-platform): Collector-to-Doris flow, table design, Coreva implementation steps, and acceptance gates.
- [Replace an expensive log stack](https://unifylogs.com/use-cases/replace-expensive-log-stack): Parallel migration, retention and query validation, node observation, and controlled cutover.
- [Troubleshoot Kubernetes](https://unifylogs.com/use-cases/kubernetes-troubleshooting): Durable pod and application evidence, Doris event modeling, Log Explorer workflow, and validation checks.
- [Centralize security and audit logs](https://unifylogs.com/use-cases/security-audit-logs): Searchable audit foundation, access design, retention, and source-completeness checks.
- [Onboard logs with AI assistance](https://unifylogs.com/use-cases/ai-assisted-log-onboarding): Human-reviewed Doris DDL and collector configuration with explicit deployment controls.
- [Build a real-time data lakehouse](https://unifylogs.com/use-cases/build-real-time-data-lakehouse): Iceberg, Hudi, and Paimon architecture; Doris Multi Catalog; hot-path acceleration; and Coreva operating steps.

## Role-based paths

- [Platform engineer](https://unifylogs.com/scenarios/platform-engineer): Repeatable ingestion and lower operational burden.
- [DevOps and SRE](https://unifylogs.com/scenarios/devops-sre): Shared incident timeline, filters, and analytical SQL.
- [Security and audit](https://unifylogs.com/scenarios/security-team): Retained evidence, data control, and investigation workflow.
- [Engineering leader](https://unifylogs.com/scenarios/engineering-leader): Reliability outcomes, predictable economics, and controlled adoption.

## Optional

- [Turkish site](https://unifylogs.com/tr): Turkish-language product overview and navigation.
- [Privacy policy](https://unifylogs.com/privacy): Information collection, use, sharing, retention, and user choices.
- [Cookie policy](https://unifylogs.com/cookies): Current cookie and form-submission behavior.
- [Sitemap](https://unifylogs.com/sitemap.xml): Complete index of public pages.