May 2017
Intermediate to advanced
436 pages
9h 44m
English
Content preview from The DevOps 2.1 Toolkit: Docker Swarm
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Choosing the right database to store system metrics
In The DevOps 2.0 Toolkit, I argued against "traditional" monitoring tools like Nagios (https://www.nagios.org/) and Icinga (https://www.icinga.org/). Instead, we chose to use Elasticsearch for both the logs and the system metrics. In the previous chapter, I reiterated the choice for using Elasticsearch as the logging solution. Can we extend its usage by storing metrics? Yes, we can. Should we do that? Should we use it as a place to store system metrics? Are there better solutions? The biggest problem with Elasticsearch, if used as a database to store system metrics, is that it is not a time series type of database. Logs benefit greatly from Elasticsearch ability to perform free text search ...
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O’Reilly covers everything we've got, with content to help us build a world-class technology community, upgrade the capabilities and competencies of our teams, and improve overall team performance as well as their engagement.Julian F.
I wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.Addison B.
I’ve been on the O’Reilly platform for more than eight years. I use a couple of learning platforms, but I'm on O'Reilly more than anybody else. When you're there, you start learning. I'm never disappointed.Amir M.
I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.