Observe: One-Stop Observability for SMEs Without Building Your Own ELK

Why SMEs should stop building their own ELK

Many teams build ELK just to search logs. The approach works, but for a team of a few dozen people the cost is often underestimated: one Elasticsearch node rarely suffices, Logstash Grok rules need constant care, and Kibana's query syntax has a learning curve. Worse, logs, metrics and tracing usually live in three separate systems, forcing engineers to switch between three dashboards to resolve a single incident.

Observe merges all three into one platform: centralized log ingestion, distributed tracing, and metric monitoring with alerting, out of the box. A small team can get the observability that used to belong only to large companies — without a dedicated SRE.

SQL-like search: bring log queries back to intuition

The most painful part of log analysis is memorizing domain-specific query syntax. Observe offers a SQL-like search: if you can write SELECT ... WHERE ..., you can query logs:

SELECT * FROM logs WHERE level = 'ERROR' AND service = 'order-service' AND ts > now() - 1h

No Lucene syntax to learn — developers, testers and operators can all get started immediately.

Executives can see, developers can query, operators can alert, AI can assist

• Executives see service health, error rate and throughput at a glance
• Developers trace a full call chain by trace id down to a specific method
• Operators configure thresholds, error-rate and alert rules flexibly
• AI summarizes errors and turns natural language into queries (NL2Query)

Domestic-computing friendly

Supports private deployment on domestic ARM servers and Linux distributions, with a MySQL-protocol driver that can connect to OceanBase — meeting the sovereignty requirements of government and enterprise customers.