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 beginner threat hunting.

Elastic Observability 7.8 includes new Google Cloud integrations, TLS / SSL certificate monitoring, and health indicators in APM service maps.

Learn how APM lets you monitor the performance of applications deployed anywhere within your network. Now you can use APM data to hunt for threats and injection attacks, too. Elastic provides a common data platform so you can view HTTP data collected with your APM agents in the Elastic SIEM app. It’s seamless monitoring and protection to keep your systems up, running, and secure.

In this virtual meetup, we are going to show how we can index the data regarding COVID-19 in Sweden into Elasticsearch, and visualize them in Kibana, and make your own dashboard.

Setting up and running an Elasticsearch cluster is easy at first, but some planning and design can help preventing many issues when going live gets real and your cluster needs to scale up. Cris da Rocha from the support team at Elastic will present some tips and tricks, learned from the experience of Elastic Support on how to do things better.

Canvas is data visualization and presentation tool that sits within Kibana. It allows us to pull live data directly from Elasticsearch and combine it with colours, images and text in order to create dynamic and visually appealing presentations. This talk will cover the basics of building your first presentation based on the live data from Elasticsearch. If you enjoy immersing yourself in the creative process while applying your technical skills, you should join us for this talk.

Hello! This session will be delivered virtually by Tamara Rosini and Lutf Ur Rehman, Education Engineers at Elastic. They will guide us through the new Elastic Observability Engineer course while providing tips on how to structure data properly as an observability best practice. Properly parsing and structuring your data is an important first step in building an efficient and effective observability solution using the Elastic Stack. Effectively indexing and structuring data into Elasticsearch is critical for establishing efficient search criteria and effective results.

In this virtual meetup, we will go over step-by-step how we have replaced our music platform's search capabilities with Elasticsearch achieving better and personalized results based on user's previous music taste.

Practitioners the field of data visualizations often talk about 2 types of visualizations: exploratory vs explanatory. To quote Google definitions, “Exploratory data visualizations (EDVs) are the type of visualizations you assemble when you do not have a clue about what information lies within your data. Nov 19, 2018” Explanatory visualization, by contrast, is defined as “what happens when you have something specific you want to show an audience” (Storytelling with data blog, April 2014)

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.