Elastic

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The same, but different: Boosting the power of Elasticsearch with synonyms

Using synonyms is undoubtedly one of the most important techniques in a search engineer's tool belt. While novices sometimes underestimated their importance, almost no real-life search system can work without them. At the same time, some complexities and subtleties arising from their use are sometimes underestimated, even by advanced users.

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SolveBio enlists the Elastic Stack to help scientists fight cancer

SolveBio finds itself at the junction of technology and genomics — working primarily in the precision medicine space to help pharmaceutical companies in research and development, specifically in the realm of oncology. At the core of its mission, this New York-based startup delivers solutions to large pharma companies, enabling them to leverage sizable amounts of complex molecular data for exploratory research and clinical drug development.

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Heya, APJ Elastic Search Awards honorees of 2019 - We salute you!

Just a few months ago, we recognized the honorees of the inaugural Elastic Search Awards for the Americas region. As with all our Elastic Search Awards, the honorees’ stories proved that innovation and imagination are what truly fuels the Elastic Stack. These stories, no matter what region across the world they stem from, showcase exceptional deployments of the Elastic Stack geared for unique, humanitarian, and business-transformation purposes.

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Elasticsearch Service is now available on AWS in London

We're excited to bring the official Elasticsearch Service to the London region on AWS. This will provide our growing set of customers in the United Kingdom and across Europe, the Middle East and Africa with the immediate ability to start a free trial and deploy our Elasticsearch Service on AWS in London with a few clicks, with features you can’t find anywhere else.

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Seccomp in the Elastic Stack

After giving a presentation about what is done in Elasticsearch to improve out-of-the-box security, safety and usability and engaging in a couple of follow-up discussions at different events, I decided to dig a little bit deeper into the topic of Linux’s seccomp. The idea of seccomp is to prevent the execution of certain system calls by a given application.

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Using machine learning in the Elastic Stack to analyze Meetup data

The machine learning (ML) features of the Elastic Stack are used across a variety of use cases, including the analysis and exploration of business data. The Elastic Stack uses a specific type of ML, called unsupervised learning, which detects previously unknown patterns in a data set without human assistance. Elastic ML features automate the analysis of time series data by creating accurate baselines of normal behavior in the data and identifying anomalous patterns.

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Generating and visualizing alpha with Vectorspace AI datasets and Canvas

This is the story of how Vectorspace datasets came about using the Elastic Stack, and Canvas in Kibana, in order to visualize information and unlock the power and value of data. In 2002 at Lawrence Berkeley National Laboratory, Vectorspace created feature vectors based on Natural Language Understanding (NLU), also known today as word embeddings.

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Elastic Enterprise Search Beta 2 released: Now with even greater connectivity and extensibility

Elastic Enterprise Search brings one elegant search experience to all of your purpose-built or cloud-based workplace tools. We’re pleased to announce the second beta release of Enterprise Search, which contains new features to connect your people to what they need — with speed and relevance at scale.

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Writing Metricbeat modules based on other modules: Introducing light modules

Metricbeat has modules that support the collection of metrics using specific protocols in a generic way, allowing you to leverage the Elastic Stack for fetching, storing, and analyzing information coming from other existing solutions. These generic modules also provide a way of extending Metricbeat functionality by monitoring services that don’t have their own native modules. Some examples are the modules for Prometheus, Jolokia, and AWS cloudwatch.