With the addition of new data structures in Lucene 6.0, the Elasticsearch 5.0 release delivered massive indexing and search performance improvements for one-dimension numeric, date, and IP fields, and two-dimension (lat, lon) geo_point fields. Building on this work, the Elasticsearch 6.0 release further improved usability and simplicity of the geo_point API by setting the default indexing structure to the new block k-d tree (BKD) and removing all support for legacy prefix tree encoding.

When working with Java or any other JVM-based programming language we get certain functionalities for free. One of those functionalities is clearing the memory. If you’ve ever used languages like C/C++ you probably remember functions like malloc, calloc, realloc and free. We needed to take care of the assignment of each byte in memory and take care of releasing the assigned memory when it was no longer needed.

Software giant Adobe is known the world around for its Photoshop, Illustrator, and Acrobat products, which are rolled into cloud service suites — Creative Cloud, Document Cloud, and Experience Cloud — of other similar software offerings. A number of their products — especially those where image search is critical, such as Adobe Stock — feature slick search capabilities that use Elasticsearch behind the scenes.

We are happy to announce that Elastic Stack 7.5 brings support for the Azure Monitor service in Metricbeat and Azure activity logs and AD (Active Directory) activity reports in Filebeat.

This was a particularly interesting and challenging year for security, cloud computing, and DevOps. It has been exciting to watch organizations and individuals transition to the public cloud and adopt DevOps culture and processes. Many are now reaping the benefits of these technological shifts.

If you are reading this, I don’t have to convince you any further of the powerful intelligence we can derive from logs and machine data. If you are anything like the many, many users, customers and prospects we have been talking to over the years, you might, however, have some level of that pesky modern condition commonly known as volume anxiety. The volume here, of course, is the volume of data––there is a lot of it, and it keeps growing.

Cloudtrail logs provide excellent insight into how your AWS account is being used. They record all activity by the web console, SDKs, and APIs. With help from the AWS plugin, getting this information into Graylog is easier than ever. In this blog post you'll set up the required AWS resources, configure the Graylog input, and do some basic searches to explore its capabilities.

Big data, AI, machine learning, and numerous others are all buzzwords we seem to throw around lightly in recent years. Even though they are hugely different from one another, they all have one thing in common. Data! Huge amounts of data that need to be managed. The downside of that is that the more data you have the more of a headache it is to store, query, and make sense of.

Grafana annotations are great! They clearly mark the occurrence of an event to help operators and devs correlate events with metrics. You may not be aware of this, but Grafana can automatically annotate graphs by querying Loki. Here’s a look at how to use this feature. Loki queries can be used to automatically generate annotations on Grafana dashboards since 6.4.0. For every log line that is returned from a query, the text is automatically displayed as an annotation at the appropriate time.

Thousands of customers leverage the official Elasticsearch Service (ESS) on top of Elastic Cloud to get the best experience for running Elasticsearch — including all of Elastic’s exclusive products such as Elastic Logs, Elastic APM, Elastic SIEM, and more.