What is Timber.io?
Timber.io is a cloud based logging platform, specifically engineered for Ruby, Elixir and Node apps. It automatically structures your log data with it's open source packages, makes the lines readable, adds valuable context, and lets you easily create graphs and alerts from your logs.
Timber.io is a tool in the Log Management category of a tech stack.
Who uses Timber.io?
9 companies reportedly use Timber.io in their tech stacks, including EXR, Jumpn, and Yomo.
9 developers on StackShare have stated that they use Timber.io.
Node.js, Ruby, Heroku, AWS Lambda, and Logstash are some of the popular tools that integrate with Timber.io. Here's a list of all 9 tools that integrate with Timber.io.
Timber.io Alternatives & Comparisons
What are some alternatives to Timber.io?
See all alternatives
Logentries makes machine-generated log data easily accessible to IT operations, development, and business analysis teams of all sizes. With the broadest platform support and an open API, Logentries brings the value of log-level data to any system, to any team member, and to a community of more than 25,000 worldwide users.
Logstash is a tool for managing events and logs. You can use it to collect logs, parse them, and store them for later use (like, for searching). If you store them in Elasticsearch, you can view and analyze them with Kibana.
Papertrail helps detect, resolve, and avoid infrastructure problems using log messages. Papertrail's practicality comes from our own experience as sysadmins, developers, and entrepreneurs.
It is the acronym for three open source projects: Elasticsearch, Logstash, and Kibana. Elasticsearch is a search and analytics engine. Logstash is a server‑side data processing pipeline that ingests data from multiple sources simultaneously, transforms it, and then sends it to a "stash" like Elasticsearch. Kibana lets users visualize data with charts and graphs in Elasticsearch.
Centralize and aggregate all your log files for 100% visibility. Use our powerful query language to search through terabytes of log data to discover and analyze important information.