DTail is a distributed DevOps tool for tailing, grepping, catting logs and other text files on many remote machines at once.
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Paul Buetow 45b2e60f72 update dependencies 10 months ago
cmd fix misuse of unbuffered channel for OS signal handling 1 year ago
doc Dont auto lowercase all mapreduce keys 10 months ago
docker update TODO comments 1 year ago
integrationtests increase shutdown timeout for test 10 months ago
internal add missing newlines to server messages when running mapreduce queries too 10 months ago
samples upper max limits in schema 10 months ago
.gitignore integration tests use separate ssh private key file 1 year ago
CNAME add CNAME file for github page 2 years ago
CODE_OF_CONDUCT.md Release of DTail v1.0.0 3 years ago
CONTRIBUTING.md Release of DTail v1.0.0 3 years ago
LICENSE Release of DTail v1.0.0 3 years ago
LICENSE.DataDog.zstd add separate licenses md 2 years ago
Makefile fix misuse of unbuffered channel for OS signal handling 1 year ago
README.md initial logformats and querylanguage documentation 1 year ago
_config.yml Set theme jekyll-theme-modernist 2 years ago
go.mod update dependencies 10 months ago
go.sum update dependencies 10 months ago
inventory.yaml fix inventory 1 year ago




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DTail (a distributed tail program) is a DevOps tool for engineers programmed in Google Go for following (tailing), catting and grepping (including gzip and zstd decompression support) log files on many machines concurrently. An advanced feature of DTail is to execute distributed MapReduce aggregations across many devices.

For secure authorization and transport encryption, the SSH protocol is used. Furthermore, DTail respects the UNIX file system permission model (traditional on all Linux/UNIX variants and also ACLs on Linux based operating systems).

The DTail binary operates in either client or server mode. The DTail server must be installed on all server boxes involved. The DTail client (possibly running on a regular Laptop) is used interactively to connect to the servers concurrently. That currently scales to multiple thousands of servers per client. Furthermore, DTail can be operated in a serverless mode too. Read more about it in the documentation.


If you like what you see look here for more examples! You can also read through the DTail Mimecast Engineering Blog Post. There is also a GitHub Page at dtail.dev.

Installation and Usage



  • DTail was created by Paul Buetow pbuetow@mimecast.com
  • Thank you Mimecast for supporting this Open-Source project.
  • Thank you to Vlad-Marian Marian for creating the DTail (dog) logo.
  • The Gopher was generated at https://gopherize.me
  • The animated Gifs were created using asciinema with asciicast2gif. Check out how this was done for more information.