Operations | Monitoring | ITSM | DevOps | Cloud

Ask Me Anything hour with Elastic Developer Advocates

There are various publicly available data-sources that we may leverage to visualize the COVID-19 pandemic. We will use the materials created by SiScale (https://www.siscale.com/) as they have composed a rather elegant means of ingesting COVID-19 data. This document is designed to be an instructional guide on how to implement this solution locally or with the Elastic Cloud. We will first configure the necessary components, ingest the data source, then show how to create the additional Machine Learning jobs as well as creating a Canvas dashboard.

Evolving With Elastic Ray Myers and Eric Bjerstedt, GetSet Learning So you’ve got a search index - now what? What benefits will that investment provide as your product grows? We’ll explore the timeline of Elasticsearch adoption at an Education Tech startup as told by the heads of Engineering and Product and see how those teams juggled trade-offs between business value and technical capabilities leading to solutions neither side would have come up with on their own.

About Elastic - Search and Analytics; Examining OpenData with a Search Index.

Let's look at the good parts of logging:

• How can you bring logging to production quickly?
• How does this work with Spring Boot in as a practical example?
• Do you want to add tracing and make the most of the combination?
• How do you manage the data that you are collecting?

Elasticsearch is the world's most popular open source search engine. Kubernetes (k8s) is the popular container orchestration engine giving developers the flexibility to run all sorts of workloads easily. Elastic launched Elasticsearch k8s operator sometime ago. With this, one can not only run Elasticsearch on k8s but also can launch other Elastic Stack projects like APM Server, help run rolling upgrades, manage data etc. This talk is a demo of all latest features.

This talk starts with the significance of search problem and its origin in history how it has been an integral part of our daily lives. Also, basics of full text search will be discussed along with the anatomy of a full text search engine by taking Elastic Search as an example. Speaker: Muhammad Junaid Muzammil is a Software Engineer with over 9 years of professional experience, along with over 4 years of experience working with Elasticsearch. He is also an Elastic Certified Engineer and one of our active Elastic user group organizers, based in Pakistan, Karachi.

The outbreak of the COVID-19 has surprised a lot of different countries all over the world. In this virtual meetup we are going to see how easy it is to put data from the World Health Organization regarding COVID-19 in Elasticsearch and visualize them in Kibana.

Melvyn Peignon, Elastic Education Architect, will be sharing information about Kibana, with an example of how to build your own personalized dashboard to track COVID-19 outbreak around the globe, using a public data source, of course. In this presentation, you are going to learn how easy it is to index any kind of data in Elasticsearch, transform it using ingest node and analyze it using Kibana visualizations, dashboards and maps.

Slow applications are no fun. Application performance monitoring (APM) makes tracking down issues much easier. But which tools should you use? With the release of Elastic APM, there’s a new option.