Logging
Top 10 Docker Logging Gotchas
Docker changed not only how applications are deployed, it also changed the workflow for log management. Instead of writing logs to files, containers write logs to the console (stdout/stderr) and
Kafka Connect Elasticsearch: Consuming and Indexing with Kafka Connect
In the world of DevOps, metric collection, log centralization and analysis Apache Kafka is the most commonly used middleware. More specifically, it is used as a fast, persistent queue between
Embracing Kubernetes Successfully
Kubernetes is a really hot topic at the moment. All major cloud providers adopted it as a solution for deploying cloud native apps. Just a few weeks ago, AWS at
How to ship Kibana Server Logs to Elasticsearch
When dealing with log centralization in your organization you have to start with something. Often times people start by collecting logs for the most crucial pieces of software, and frequently
Logagent Meets Apache Kafka
This is a guest post from Filippo Balicchia. Filippo contributed Logagent plugins for Apache Kafka the details of which he is sharing in this post. Filippo is a software engineer
Shipping data to AWS Elasticsearch with Logagent
Elasticsearch is already quite popular and its popularity just keeps growing. Looking at Google Trends chart for the last 5 years shows this nicely: There are a number of reasons
Java 9 Elasticsearch Benchmark
TL;DR: The main question here is: How Does Java 9 Work with Elasticsearch 6? It works well, but don't expect miracles. Unless you're using G1, then there are some miracles. With
How to Detect Malicious Traffic in Your Server Logs: Sematext + Access Watch
Do you know what portion of your traffic comes from bots? Do you know which bots are good and which ones are bad? Do you know what the bad bots
Introducing Instant Templates and Mappings
Logsene, our hosted ELK stack now part of Sematext Cloud, exposes the Elasticsearch API. As a Logsene user you may or may not be aware of this. If you have
Metrics & Logs – Together or Separate?
Every modern organization depends on software, and where there is software there are metrics and logs and, one would hope, monitoring of these two critically important types of data. Operations