Lexicon · alternatives
Elastic Observability
Elastic builds observability on Elasticsearch. What search first does well, what running clusters really costs, and how Tsuga compares as an alternative.
Definition
Elastic offers observability built on the Elasticsearch stack: log search at its core, with metrics, traces, and APM layered on, available self managed or as the hosted Elastic Cloud.
What it means in observability
The ELK stack made powerful log search accessible to everyone, and a huge share of the industry ran its first serious log management on it. Elastic observability extends that foundation, with search as the organizing strength.
How it works in practice
Data is ingested through Elastic Agent, Beats, or OpenTelemetry into Elasticsearch indices, then searched and visualized through Kibana. Self managed deployments run your own clusters, while Elastic Cloud prices primarily on the compute and storage resources consumed.
Where it gets hard
Operating Elasticsearch at telemetry scale is genuine engineering work: cluster sizing, shard management, index lifecycle, and upgrades become someone's job, and resource based pricing means costs track cluster growth rather than data value. The observability layers on top of search are workable, but correlation across signals takes more assembly than in platforms designed around it.
Where Tsuga fits
Tsuga delivers search across logs, metrics, and traces as a managed platform inside your own cloud account: no clusters to size and operate, correlation built in, and one flat per GB price.
Related terms
- CardinalityCardinality is the number of distinct values, or distinct value combinations, that an attribute or set of attributes can take.
- Log managementLog management is the practice of collecting, processing, storing, and searching log data at scale: every event record your applications and infrastructure emit, made findable when someone needs it.
- ObservabilityObservability is the ability to understand what is happening inside a system from the data it emits: its logs, metrics, and traces.
- Vendor lock-inVendor lock-in is the accumulation of switching costs that makes leaving a platform impractical regardless of how the relationship is going: proprietary instrumentation, captive data, workflows that exist in only one tool, and contracts priced to reward staying.