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.

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.

At ThousandEyes and the Endpoint Agent, we have a track record of using Elasticsearch as a time-series database for the metrics that we collect from our agents. I will be presenting how we decided to use Elasticsearch as a Time Series Database (TSDB), and how we got buy-in from stakeholders. Stathis spent several years in Athens, Greece, as a Software Engineer before moving to London. Enjoys working with large distributed systems using technologies like Elasticsearch, Kafka, Java, Kotlin. Wants to build his own tech when he grows up.

SIEM abbreviated as Security Information & event management plays an important role in an organization's information security posture.

Learn how to start monitoring in minutes, keep your networks up and running, and make sure citizens have continuous access to digital portals and services. Increased traffic. New users on the network. Data sharing at unprecedented levels. Meet all the challenges coming your way with the free and open Elastic Stack.

Calling all security enthusiasts! Many of us are now facing similar challenges working from home. Introduced in 7.2, Elastic SIEM is a great way to provide security analytics and monitoring capabilities to small businesses and homes with limited time and resources. In this three-part meetup series we will take you on a journey from zero to hero, getting started with the Elastic SIEM to becoming a threat hunter.

This blog post introduces the Java REST clients for Elasticsearch. The main focus will be on the High Level REST Client, but the low level REST client will be covered as well.

Aligning security and risk management to the business strategy is imperative in driving value. With a “yes, and here’s how” attitude, CISO’s organization has now become a trusted advisor to the business enabled with preventative, detective, and responsive solutions. Tools such as application performance monitoring (APM) can shed light on the components that make up the organization’s DNA including the current COVID-19 impact and the need for a distributed workforce.

This session comprises of two talks by community members, catering to audience of varying tech skills. Talk 1: Building a COVID-19 Dashboard for Non-Programmers We will use Kibana to build a Covid-19 dashboard using the "Upload CSV" feature. The dashboard will feature tables, bar charts, line graphs and pie charts. We will use existing publicly available data and show easy it is to build and share dashboards

It’s no secret: multilingual search is hard! Each language is unique. In some languages there is no whitespace between words, in others using the dictionary form of a word is essential to finding more relevant results. Your data can be in one or several languages or even worse, one document can be written in one or more languages. How do you maximize your chances of getting relevant results? This 35min talk will cover some customer use case and the following challenges.