Video explaining how to use Logsene for troubleshooting using logs.

Your software stack likely consists of web servers, search engines, queues, databases, etc. Each part of your stack emits its own metrics and logs. Depending on the size of your team and structure, different team members might have permissions to look at one set of data, but not the other. Some data is needed for troubleshooting and can be discarded after just a few days, while more important data might need to be kept for months for legal or capacity planning purposes.

Your software stack likely consists of web servers, search engines, queues, databases, etc. Each part of your stack emits its own metrics and logs. Depending on the size of your team and structure, different team members might have permissions to look at one set of data, but not the other. Some data is needed for troubleshooting and can be discarded after just a few days, while more important data might need to be kept for months for legal or capacity planning purposes.

Video showing how to create a dashboard in Sematext Cloud.

Video introducing Sematext Cloud, including topics such as Alerts & Dashboards, Log & Events, Log searching and Database tracing.

Video showing alerts in Sematext Cloud, including topics such as how to set up alerts, alert queries and enabling/disabling alerts.

Stefan Thies talks about "Top Node.js Performance Metrics to watch“ including node.js key metrics, web framework metrics and examples from real applications. How to collect metrics (e.g. related npm packages) and challenges in monitoring node applications.

This talk was given during Lucene Revolution 2017 and has two goals: first, to discuss the tradeoffs for running Solr on Docker. For example, you get dynamic allocation of operating system caches, but you also get some CPU overhead. We'll keep in mind that Solr nodes tend to be different than your average container: Solr is usually long running, takes quite some RSS and a lot of virtual memory. This will imply, for example, that it makes more sense to use Docker on big physical boxes than on configurable-size VMs (like Amazon EC2).

They say optimize is bad for you, they say you shouldn't do it, they say it will invalidate operating system caches and make your system suffer. This is all true, but is it true in all cases? In this presentation we will look closer on what optimize or better called force merge does to your Solr search engine. You will learn what segments are, how they are built and how they are used by Lucene and Solr for searching.

One of the Sematext differentiators is that it’s not just a monitoring solution or just log management solution. It’s monitoring AND log management in a single solution. This single pane of proverbial glass makes DevOps lives simpler.