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Elastic

How to troubleshoot the Elastic App Search web crawler

In case you hadn’t heard, we recently released a brand new web crawler for Elastic App Search. The web crawler provides a simple way to ingest publicly available web content and make that content instantly searchable on your website. Configuring the web crawler to start ingesting data from your website is super easy — it’s just a matter of a few clicks. This sounds great, but what if after crawling there are no pages being indexed or you feel some pages are missing?

Getting Started with Elastic Maps Server (Beta)

Elastic Maps Server gives you the ability to use Elastic Maps without needing to have a connection to Elastic Maps Service for the underlying basemaps and vector maps. This is ideal for air-gapped or low-connectivity environments that require locally managed assets. In this video, we walk through how to get started with Elastic Maps Server for your own self-managed Elastic Stack deployment.

Time-based scaling of Enterprise Search on Elastic Cloud

Does your Elastic Enterprise Search Cloud deployment follow a predictable usage pattern? You can automatically scale up and down your deployment on a schedule to achieve optimal performance and reduce operating costs. In this article we show you how to use the Elastic Cloud API to change how many Enterprise Search nodes you’re running. We call these APIs from a cron job to achieve hands-free, time-triggered autoscaling.

Discover in Kibana uses the fields API in 7.12

With Elastic 7.12, Discover now uses the fields API by default. Reading from _source is still supported through a switch in the Advanced Settings. This change stems from updates made to Elasticsearch in 7.11 with the extension of the Search API to include the new fields parameter. When using the new search parameter, both a document’s raw source and the index mappings to load and return values are used.

Getting Started with Elastic Cloud: A FedRAMP Authorized Service

Elastic Cloud is available for US government users and partners who want to harness the power of enterprise search, observability, and security to make mission-critical decisions. Elastic Cloud is FedRAMP authorized at Moderate Impact level so federal organizations and other customers in highly regulated environments can quickly and easily search their applications, data, and infrastructure for information, analyze data to observe insights, and protect their technology investment.

Detecting rare and unusual processes with Elastic machine learning

In SecOps, knowing which host processes are normally executed and which are rarely seen helps cut through the noise to quickly locate potential problems or security threats. By focusing attention on rare anomalies, security teams can be more efficient when trying to detect or hunt for potential threats. Finding a process that doesn’t often run on a server can sometimes indicate innocuous activity or could be an indication of something more alarming.

How to monitor containerized Kafka with Elastic Observability

Kafka is a distributed, highly available event streaming platform which can be run on bare metal, virtualized, containerized, or as a managed service. At its heart, Kafka is a publish/subscribe (or pub/sub) system, which provides a "broker" to dole out events. Publishers post events to topics, and consumers subscribe to topics. When a new event is sent to a topic, consumers that subscribe to the topic will receive a new event notification.

Elastic 7.12 released: General availability of schema on read, technical preview of the frozen tier, and support for autoscaling

We are pleased to announce the general availability (GA) of Elastic 7.12. This release brings a broad set of new capabilities to our Elastic Enterprise Search, Observability, and Security solutions, which are built into the Elastic Stack — Elasticsearch and Kibana.

Directly search S3 with the new frozen tier

We’re thrilled to announce the technical preview of the frozen tier in 7.12, enabling you to completely decouple compute from storage and directly search data in object stores such as AWS S3, Microsoft Azure Storage, and Google Cloud Storage. The next major milestone in our data tier journey, the frozen tier significantly expands your data reach by storing massive amounts of data for the long haul at much lower cost while keeping it fully active and searchable.