๐ 10x easier, ๐ 10x cheaper, ๐ petabyte scale - Elasticsearch alternative for ๐ (logs, metrics, traces).
ZincObserve is a cloud native observability platform built specifically for logs, metrics & traces search & analytics. One can use it to search & analyze terabytes of data.
- Best in class GUI.
- Single binary for installation & running. Binaries available under releases for multiple platforms.
- SQL for sophisticated queries, no need to learn yet another query language.
- Embedded scripting functions for ingestion & query to aid advanced capabilities like enrichment, redaction, log reduction, compliance, etc.
- Dynamic Schema
- Out of the box authentication
- Storage in local Disk, s3, MinIO, GCP
- Vastly easier to operate
- Seamless upgrades
You would need ZO_ROOT_USER_EMAIL and ZO_ROOT_USER_PASSWORD environment variables when you start ZincObserve for the first time. You don't need them on subsequent runs of ZincObserve.
Binaries can be downloaded from releases page for appropriate platform.
set [email protected]
set ZO_ROOT_USER_PASSWORD=Complexpass#123
zincobserve.exe
[email protected] ZO_ROOT_USER_PASSWORD=Complexpass#123 ./zincobserve
mkdir data
docker run -v /full/path/of/data:/data -e ZO_DATA_DIR="/data" -p 5080:5080 \
-e [email protected] -e ZO_ROOT_USER_PASSWORD=Complexpass#123 \
--name zinc public.ecr.aws/zinclabs/zincobserve:latest
Now point your browser to http://localhost:5080 and login using user ZO_ROOT_USER_EMAIL & ZO_ROOT_USER_PASSWORD
Easiest way to get support is to join the Slack channel.
Check the contributing guide