Category: Blog

Unifying Grafana Community Forums

This article was initially posted at https://k6.io/blog/k6-forum-migration/. We are excited to announce a significant change to the k6 community forum. Starting on July 25th, at 14:00 UTC, we will merge the k6 community forum with the Grafana community forum. This migration will create a unified forum for the entire Grafana community, so users

Top 3 recommendations to keep your Elasticsearch cluster healthy

Working as an Elastic support engineer, we see a few tools that are very useful to have already in place when we need to help our customers troubleshoot their Elasticsearch clusters, or monitor to keep them healthy. Let’s review the top 3 with a few examples. 1. Know your REST

New additions to the Elasticsearch keyword family: constant_keyword and wildcard

This article was initially posted at https://discuss.elastic.co/t/dec-23rd-2020-en-new-additions-to-the-keyword-family-constant-keyword-and-wildcard/257213 and https://discuss.elastic.co/t/dec-23rd-2020-es-nuevas-incorporaciones-a-la-familia-de-tipos-keyword-constant-keyword-y-wildcard/257209 We’ve recently introduced two additional keyword types, wildcard and constant_keyword. In this post, we’ll try to introduce them briefly. The wildcard field is optimized to match any part of string values using wildcards or regular expressions. The usual use case is for security when we might

Simplifying Elasticsearch Ingest Pipelines with the new Enrich Processor

When ingesting data through a regular Elasticsearch ingest pipeline 1 (e.g. with dissect, rename, or remove processors 2) we can now add an Enrich Processor 4. This allows us to do lookups on other Elasticsearch indices and enrich the incoming document before sending it to its own index. Enrich Policies 4 are what powers this new functionality in Elasticsearch version

Creating frozen indices with the Elasticsearch Freeze index API

First published on https://www.elastic.co/blog/creating-frozen-indices-with-the-elasticsearch-freeze-index-api First, some context Hot-Warm architectures are often used when we want to get the most out of our hardware. It is particularly useful when we have time-based data, like logs, metrics, and APM data. Most of these setups rely on the fact that this data is read-only (after

Unifying Grafana Community Forums

This article was initially posted at https://k6.io/blog/k6-forum-migration/. We are excited to announce a significant change to the k6 community forum. Starting on July 25th, at 14:00 UTC, we will merge the k6 community forum with the Grafana community forum. This migration will create a unified forum for the entire Grafana community, so users

Top 3 recommendations to keep your Elasticsearch cluster healthy

Working as an Elastic support engineer, we see a few tools that are very useful to have already in place when we need to help our customers troubleshoot their Elasticsearch clusters, or monitor to keep them healthy. Let’s review the top 3 with a few examples. 1. Know your REST

New additions to the Elasticsearch keyword family: constant_keyword and wildcard

This article was initially posted at https://discuss.elastic.co/t/dec-23rd-2020-en-new-additions-to-the-keyword-family-constant-keyword-and-wildcard/257213 and https://discuss.elastic.co/t/dec-23rd-2020-es-nuevas-incorporaciones-a-la-familia-de-tipos-keyword-constant-keyword-y-wildcard/257209 We’ve recently introduced two additional keyword types, wildcard and constant_keyword. In this post, we’ll try to introduce them briefly. The wildcard field is optimized to match any part of string values using wildcards or regular expressions. The usual use case is for security when we might

Simplifying Elasticsearch Ingest Pipelines with the new Enrich Processor

When ingesting data through a regular Elasticsearch ingest pipeline 1 (e.g. with dissect, rename, or remove processors 2) we can now add an Enrich Processor 4. This allows us to do lookups on other Elasticsearch indices and enrich the incoming document before sending it to its own index. Enrich Policies 4 are what powers this new functionality in Elasticsearch version

Creating frozen indices with the Elasticsearch Freeze index API

First published on https://www.elastic.co/blog/creating-frozen-indices-with-the-elasticsearch-freeze-index-api First, some context Hot-Warm architectures are often used when we want to get the most out of our hardware. It is particularly useful when we have time-based data, like logs, metrics, and APM data. Most of these setups rely on the fact that this data is read-only (after