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Building a Search Engine with Elastic App Search

Building a web application to solve a business problem is easy in today's world. But, how about creating an experience that lets your user spend more time on the service. To do that essentially, we need to equip the application with quintessential features like search. Most of the websites like eCommerce, Food Delivery, Social media rely on search. Search is omnipresent and one can't ignore the users searching for something on your website.

Elastic Stack Alerting Overview

Introducing the new alerting framework for the Elastic Stack bringing alert functionality directly into SIEM, APM, Uptime, and Metrics. The new alerting framework is built from the ground up and designed to offer data-driven triggers that let you do everything from send an email, to automatic Slack notifications, to even integrate with platforms like PagerDuty to initiate escalations.

Elastic Stack 7.7.0 released

We are pleased to announce the general availability of version 7.7 of the Elastic Stack. Like most Elastic Stack releases, 7.7 packs quite a punch. But more than the new features, we’re most proud of the team that delivered it. A feature-packed release like this is special during normal times. But it’s extra special today given the uncertain times we are in right now.

How to enrich logs and metrics using an Elasticsearch ingest node

When ingesting data into Elasticsearch, it is often beneficial to enrich documents with additional information that can later be used for searching or viewing the data. Enrichment is the process of merging data from an authoritative source into documents as they are ingested into Elasticsearch. For example, enrichment can be done with the GeoIP Processor which processes documents that contain IP addresses and adds information about the geographical location associated with each IP address.

Elastic at home for students and educators: A resource guide

George Lucas once said, “Education is the single most important job of the human race.” When considering the requirement of education in the mastering of any role or skill, there is no debate to the truth behind his words. Education is the cornerstone on which the future is built, which is why Elastic is launching the Elastic for Students and Educators program.

APM - Diving in to the async profiler feature of the java APM agent

Distributed tracing is great — it helps you identify (micro)services within complex architectures having issues interfering with user experience, such as high latency or errors. But once a problematic service is identified, it can be difficult to find out which methods are to blame for the slowdown. In this presentation, Felix Barnsteiner (one of the core developers of the APM Java Agent) will show you the different ways to get method-level insight into your application. Specifically, we’ll have a look at the newly added support for profiler-inferred spans that is based on a sampling profiler.

Live Kubernetes Debugging with the Elastic Stack

Your Kubernetes app is down. Your users start ranting on Twitter. Your boss is standing right behind you. What do you do? We are using the Elastic Stack in this demo with a special focus on its Kubernetes integration with metadata enrichment and autodiscovery in combination with APM / tracing, metrics, logs, and health checks.

Getting started with adding a new security data source in your Elastic SIEM: Part 1

What I love about our free and open Elastic SIEM is how easy it is to add new data sources. I’ve learned how to do this firsthand, and thought it’d be helpful to share my experience getting started. Last October, I joined Elastic Security when Elastic and Endgame combined forces. Working with our awesome security community, I’ve had the opportunity to add new data sources for our users to complement our growing catalog of integrations.

Searching Confluence with Elastic Workplace Search

For many companies, Elastic included, wikis developed with Confluence are a critical source of content, procedures, policies, and plenty of other important info, spanning teams across the entire organization. But sometimes finding a particular nugget of information can be tricky, especially when you’re not exactly sure where that information was located. Was it in the wiki? In a Word doc? In Salesforce? A GitHub issue? Somewhere else?