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.

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.

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.

As part of Elasticsearch 7.5.0, a new ingest processor — named enrich processor — was released. This new processor allows ingest node to enrich documents being ingested with additional data from reference data sets. This opens up a new world of possibilities for ingest nodes.

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.

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.

Data visualization is an essential concept in the field of data science. So much so that whenever you want to analyze any set of data, you must always incorporate data visualization. Regardless, the majority of people still do not have a proper understanding of this concept and how to implement it. Therefore, in this article, we define data visualization and examine ten website applications for performing it.

The Internet of Things (IoT) revolution has set the beginning of a new age of data transfer. Each day, a massive number of new devices get added to all kinds of network infrastructures, transferring gargantuan amounts of data back and forth. In the next decade, we expect the number of IoTs to grow to a staggering 80 billion connected devices – practically outnumbering the human population tenfold.