logstash

When it comes to centralizing logs to Elasticsearch, the first log shipper that comes to mind is Logstash. People hear about it even if it’s not clear what it does:

Whether you capture them for application security and compliance, production monitoring, performance monitoring, or troubleshooting, logs contain valuable information about the health of your apps. But it all comes down

For this Black Friday, Sematext wishes you: more products sold more traffic and exposure more logs :) Now seriously, applications tend to generate a lot more logs on Black Friday,

Looking to learn about Logstash as quickly as possible? This Logstash Tutorial is for you: we’ll install Logstash and push some Apache logs to Elasticsearch in less than 5 minutes.

Unless you are using a very old version of Elasticsearch you’re able to define pipelines within Elasticsearch itself and have those pipelines process your data in the same way you’d

This recipe is similar to the previous rsyslog + Redis + Logstash one, except that we’ll use Kafka as a central buffer and connecting point instead of Redis. You’ll have

Here at Sematext we use Java and rely on Elasticsearch for our hosted ELK logging SaaS, a lot. We like them so much that we regularly share our logging experience

In earlier posts, we explained how one can reindex data from one Elasticsearch cluster to another, or within the same Elasticsearch cluster, via tools like Logstash and rsyslog. The same

UPDATE: There is a much easier way to ship your Windows events to Sematext now. See the New Windows logs integration update. There are a lot of sources of logs

OK, so you want to hook up rsyslog with Logstash. If you don't remember why you want that, let me give you a few hints: Logstash can do lots of

Sometimes we just need to replay production queries - whether it's because we want a realistic load test for the new version of a product or because we want to