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Blog Post

Friends Don't Let Friends Dig Through Data By @TrevParsons [#DevOps]

Log data provides the most granular view into what is happening across your systems, applications, and end users

Traditionally log management and analytics has not been easy. We talk to customers who have spent hours digging through logs, writing complex search queries, and waiting...and waiting... for results to populate.


We know there is a better way.  Logentries offers a free account to anyone who wants to see for themselves that log management and analytics can be easy, fast, and incredibly valuable to your IT, DevOps, and business analytics.  And, as of today, we want to give users the option to share Logentries with a friend, so you can help them to also start saving time in their approach to collecting, indexing, and analyzing machine data from any source, in any format, across any platform!

To help you spread the word further and to continue to build our Community of more than 35,000 users, today we are announcing our new Referral Program offering up to 25GB FOR FREE! The program automatically credits your account with 5GB for free for each friend you refer who signs-up for a free account and starts sending logs.

It's simple to Refer a Friend and get 5GB (up to 20GB) additional capacity in your account:.

referral-image (1)

That's not all, we also feel that as part of being an open solution it is important to integrate with all those tools our users have come to love and use every day alongside Logentries. To make this easier we continue to integrate with other cool products like New Relic, Heroku, PagerDuty, HipChat, Fastly, Campfire, GeckoBoard, HostedGraphite.... If you don't see your favorite DevOps tool or SaaS service on our partner list do let us know. You can expect to see more coming soon!

More Stories By Trevor Parsons

Trevor Parsons is Chief Scientist and Co-founder of Logentries. Trevor has over 10 years experience in enterprise software and, in particular, has specialized in developing enterprise monitoring and performance tools for distributed systems. He is also a research fellow at the Performance Engineering Lab Research Group and was formerly a Scientist at the IBM Center for Advanced Studies. Trevor holds a PhD from University College Dublin, Ireland.