Sematext provides a single pane of glass and machine learning powered alerts for logs, metrics, traces and user experience data. Sematext Cloud provides advanced monitoring, logging and tracing for all Docker platforms such as Docker EE, Kubernetes, GKE, AWS ECS, and IBM Cloud. Sematext’s new monitoring agent leverages the powerful eBPF Linux kernel observability functionality and uses the Kubernetes API to enrich the container and cluster level metrics.

Logagent is a modern, open-source, light-weight data shipper with out of the box and extensible log parsing, on-disk buffering, secure transport and bulk indexing to Elasticsearch and Sematext Cloud. Its low memory footprint and low CPU overhead make it suitable for deploying on edge nodes and devices, while its ability to parse and structure logs makes it a great Logstash alternative.

We’re excited to announce the release of the Field Stats API plugin for Elasticsearch. The Field Stats API used to be present from Elasticsearch 1.6 to 5.6, to provide efficient statistics for fields of each index. For example, the minimum and maximum values of a date field.

We recently had a presentation at Activate 2018 about entity extraction in the context of a product search. For example: how to tell, when the user typed in Activate 2018, that the intent was to run conference:Activate AND date:201

You can now create monitoring integrations for your technology stack easier than ever before. We’ve recently opened-sourced Sematext’s Monitoring Agent, reworked it, and made it fully pluggable, making it possible for you to collect metrics from a number of additional sources.

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 more of the same advantages.

Starting from Elasticsearch 5.0, you’re able to define pipelines within it that process your data, in the same way you’d normally do it with something like Logstash. We decided to take it for a spin and see how this new functionality (called Ingest) compares with Logstash filters in both performance and functionality. Is it worth sending data directly to Elasticsearch or should we keep Logstash?

Here at Sematext we use Java and rely on Logsene, our hosted ELK logging SaaS, a lot. We like them so much that we regularly share our logging experience with everyone and help others with logging, especially, ELK stack. Centralized logging plays nice with Java (and anything else that can write pretty logs). However, there is one tricky thing that can be hard to get right: properly capturing exception stack traces.

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

Containers are eating the world and the newly added Containers view in Sematext Cloud helps you manage that. You can experience container monitoring with the new Containers view that provides you with enhanced visibility into all your hosts and containers, drawing your attention to the ones that need it the most.