Cache is king for speedy data retrieval. So if you’re interested in how Elasticsearch leverages various caches to ensure you are retrieving data as fast as possible, buckle up for the next 15 minutes and read through this post. This blog will shed some light on various caching features of Elasticsearch that help you to retrieve data faster after initial data accesses. Elasticsearch is a heavy user of various caches, but in this post we'll only be focusing on:
Page cache (sometimes called the f
For the 7.10 release of Elastic Workplace Search, we highlighted some of the new analytics logging capabilities and took you through a short walkthrough of some sample analysis scenarios. With the 7.11 release we introduced analytics fields, which open up new possibilities for exploring query and click data with helpful dashboards and visualizations. We’ve structured the analytics event log output to allow as much flexibility as possible. We have our own ideas as to what types of analysis we wou
We are excited to bring you a number of updates for using Elastic Cloud (Elasticsearch managed service) in the AWS Marketplace. New self-service subscription optionsYou can now purchase Standard, Gold, Platinum, and Enterprise monthly subscriptions directly within the AWS Marketplace. With just a few clicks, you’ll get access to enhanced support options backed by service-level agreements and capabilities exclusive to the Elastic Stack, including Elastic APM, Elastic Workplace Search, and the res
Security information and event management (SIEM) systems are centralized logging platforms that enable security teams to analyze event data in real time for early detection of targeted cyber attacks and data breaches. A SIEM is used as a tool to collect, store, investigate, and report on log data for threat detection, incident response, forensics, and regulatory compliance. SIEM has continuously evolved since its early days of adoption. SIEM software today needs to support big data and provide c
We're excited to announce that autoscaling is now available on Elastic Cloud. In our initial release, autoscaling monitors the storage utilization of your Elasticsearch data nodes and the available memory capacity for your machine learning jobs. As your data grows, whether you’re expanding to new use cases or simply storing data for longer, autoscaling automatically adjusts resource capacity to ensure you can store your data, and that your machine learning jobs can execute — so you don’t have to
At Elastic, we care about those who serve. We support active military and veterans with initiatives that empower them through education, employment, and beyond. On Veterans Day last year we announced one such initiative, Operation Giving Back, which offers free Elastic training and sustainable donation programs to provide opportunities for the military. To continue building on these initiatives, we recently welcomed our first fellow as part of the Hiring Our Heroes program. This 12-week fellows
It is incredibly useful to be able to identify the most unusual data in your Elasticsearch indices. However, it can be incredibly difficult to manually find unusual content if you are collecting large volumes of data. Fortunately, Elastic machine learning can be used to easily build a model of your data and apply anomaly detection algorithms to detect what is rare/unusual in the data. And with machine learning, the larger the dataset, the better. One of the main reasons we use anomaly detection
We’re excited to share that we announced the winners of the 2021 cycle of the Elastic Contributor Program this weekend at the Elastic Community Conference. Since we launched the program last year, contributors have been earning points for organizing events, delivering presentations, contributing code, writing or translating articles, and creating video tutorials. The time and energy that contributors have poured into these activities are the lifeblood of the Elastic community. These commun
When it comes to your SIEM, your data is only as useful as your ability to ingest and analyze it. To solve complex security problems, your team ideally needs the ability to comprehensively monitor events within your environment with contextual insights from high-volume data sources. Yet due to the technical limitations or restrictive licensing of many solutions out there, security teams are forced to drop high-volume data sources (cloud application, authentication, certificate transparenc
Back in our 7.10 release of the Elastic Stack, we announced the beta of our Ruby and Python clients for Elastic Enterprise Search. Now, with 7.11, both the Ruby and Python clients are generally available. We’ve also begun work on a PHP client. All client source code for both enterprise-search-ruby and enterprise-search-python is available on GitHub. Documentation on how to get started with each client is available on elastic.co. Complete release notes for the 7.11.0 releases are available for Ru