Elasticsearch on Azure

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This document discusses the partnership between Elastic and Microsoft Azure and highlights several products and services: 1. Elastic provides solutions for logs, metrics, application performance monitoring, uptime monitoring, security information and event management, and endpoints on the Elastic Stack that can be deployed on Azure in various ways. 2. The Elasticsearch Service on Azure is highlighted as the best way to deploy Elasticsearch, Kibana, and Elastic solutions on Azure with benefits like being hosted, secure, compliant, and always up-to-date. 3. Elastic Observability for Azure provides out-of-the-box support for Azure logs and metrics with integration for Azure Monitor and pre-built Kibana dashboards.

Technology

1
Elastic and Microsoft Azure
San Francisco
March 4, 2020

2
Hemant Malik
Solutions Architect, Elastic
Azure Certiﬁed Solutions
@heymantmalik
Paul Yukenwicz
Head of Product, Microsoft
Azure Development
Tools & Diagnostics
@paulyuki99

4
Logs Metrics APM Uptime SIEM EndpointSite
Search
App
Search
Workplace
Search
Enterprise Search SecurityObservability
Elastic Stack

55
Deployment for every Enterprise
Elastic Cloud for Azure, where and how you want it
Elasticsearch Service
Elastic Cloud EnterpriseElastic Cloud on K8s
Elastic Stack
Managed Service
Self Managed
Orchestrated
Self Managed

66
Elasticsearch Service
Best way to deploy Elasticsearch, Kibana and Elastic Solutions on Azure
● Hosted Elasticsearch & Kibana
● 5+ regions globally
● Secure & compliant
● Support from the source
● Always the latest
Service

88
Observing Azure with Elastic Observability
Out of the box support for Azure Logs and Metrics
● Compute, Storage Metrics
● Azure Monitor Integration
● Azure Kubernetes Service
● Pre-built Kibana dashboards
● Azure Event Hubs Input
● Azure Kubernetes & containers

10
Elastic Observability on Azure at a Glance

1111
Azure and Elastic Cloud on Kubernetes (ECK)
Self Managed, K8s for Elastic on Azure
● Deploy Elasticsearch and Kibana
● Deploy Logs, Metrics, APM
● Seamless, automated upgrade
● Secure by default
● AKS, Vanilla K8s and more

12
DEMO
Azure Kubernetes Service and
Elastic Cloud on Kubernetes (ECK)

13
Elastic Cloud on Kubernetes and Azure at a Glance

1414
Azure and Elastic App Search
From zero to advanced search in a snap
Language-optimized engines
Robust search API
Search Curation built-in
Elastic App Search
Powerful relevance
Real-time analytics built-in
API Language Clients

1616
What Microsoft and Elastic are working on next
Roadmap
• New Regions for Elasticsearch Service (6 total)
‒ Japan East | UK South | France Central |
North Europe (and more)
• More Azure service integrations for Beats
• App Search on Elasticsearch Service Azure
• Azure Marketplace Billing Integration
• Azure Private Link for Elasticsearch Service

1717
Come visit us at the Microsoft
Booth for a special 30-day
Elasticsearch Service trial on Azure!
• Elasticsearch Service GA on Azure
• Observing Azure with Elastic
• Elastic Cloud Kubernetes on AKS
THANK YOU!

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💥 Speed, accuracy, and scaling – discover the superpowers of GenAI in action with UiPath Document Understanding and Communications Mining™: See how to accelerate model training and optimize model performance with active learning Learn about the latest enhancements to out-of-the-box document processing – with little to no training required Get an exclusive demo of the new family of UiPath LLMs – GenAI models specialized for processing different types of documents and messages This is a hands-on session specifically designed for automation developers and AI enthusiasts seeking to enhance their knowledge in leveraging the latest intelligent document processing capabilities offered by UiPath. Speakers: 👨‍🏫 Andras Palfi, Senior Product Manager, UiPath 👩‍🏫 Lenka Dulovicova, Product Program Manager, UiPath

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The field of Information retrieval (IR) is currently undergoing a transformative shift, at least partly due to the emerging applications of generative AI to information access. In this talk, we will deliberate on the sociotechnical implications of generative AI for information access. We will argue that there is both a critical necessity and an exciting opportunity for the IR community to re-center our research agendas on societal needs while dismantling the artificial separation between the work on fairness, accountability, transparency, and ethics in IR and the rest of IR research. Instead of adopting a reactionary strategy of trying to mitigate potential social harms from emerging technologies, the community should aim to proactively set the research agenda for the kinds of systems we should build inspired by diverse explicitly stated sociotechnical imaginaries. The sociotechnical imaginaries that underpin the design and development of information access technologies needs to be explicitly articulated, and we need to develop theories of change in context of these diverse perspectives. Our guiding future imaginaries must be informed by other academic fields, such as democratic theory and critical theory, and should be co-developed with social science scholars, legal scholars, civil rights and social justice activists, and artists, among others.

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I have heard many times that architecture is not important for the front-end. Also, many times I have seen how developers implement features on the front-end just following the standard rules for a framework and think that this is enough to successfully launch the project, and then the project fails. How to prevent this and what approach to choose? I have launched dozens of complex projects and during the talk we will analyze which approaches have worked for me and which have not.

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Watch this recorded webinar about real-time monitoring of application performance. See how to integrate Apache JMeter, the open-source leader in performance testing, with InfluxDB, the open-source time-series database, and Grafana, the open-source analytics and visualization application. In this webinar, we will review the benefits of leveraging InfluxDB and Grafana when executing load tests and demonstrate how these tools are used to visualize performance metrics. Length: 30 minutes Session Overview ------------------------------------------- During this webinar, we will cover the following topics while demonstrating the integrations of JMeter, InfluxDB and Grafana: - What out-of-the-box solutions are available for real-time monitoring JMeter tests? - What are the benefits of integrating InfluxDB and Grafana into the load testing stack? - Which features are provided by Grafana? - Demonstration of InfluxDB and Grafana using a practice web application To view the webinar recording, go to: https://www.rttsweb.com/jmeter-integration-webinar

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1. 1 Elastic and Microsoft Azure San Francisco March 4, 2020

2. 2 Hemant Malik Solutions Architect, Elastic Azure Certiﬁed Solutions @heymantmalik Paul Yukenwicz Head of Product, Microsoft Azure Development Tools & Diagnostics @paulyuki99

3. 3

4. 4 Logs Metrics APM Uptime SIEM EndpointSite Search App Search Workplace Search Enterprise Search SecurityObservability Elastic Stack

5. 55 Deployment for every Enterprise Elastic Cloud for Azure, where and how you want it Elasticsearch Service Elastic Cloud EnterpriseElastic Cloud on K8s Elastic Stack Managed Service Self Managed Orchestrated Self Managed

6. 66 Elasticsearch Service Best way to deploy Elasticsearch, Kibana and Elastic Solutions on Azure ● Hosted Elasticsearch & Kibana ● 5+ regions globally ● Secure & compliant ● Support from the source ● Always the latest Service

7. 7 Elasticsearch Service on Azure DEMO

8. 88 Observing Azure with Elastic Observability Out of the box support for Azure Logs and Metrics ● Compute, Storage Metrics ● Azure Monitor Integration ● Azure Kubernetes Service ● Pre-built Kibana dashboards ● Azure Event Hubs Input ● Azure Kubernetes & containers

9. 9 Elastic Observability for Azure DEMO

10. 10 Elastic Observability on Azure at a Glance

11. 1111 Azure and Elastic Cloud on Kubernetes (ECK) Self Managed, K8s for Elastic on Azure ● Deploy Elasticsearch and Kibana ● Deploy Logs, Metrics, APM ● Seamless, automated upgrade ● Secure by default ● AKS, Vanilla K8s and more

12. 12 DEMO Azure Kubernetes Service and Elastic Cloud on Kubernetes (ECK)

13. 13 Elastic Cloud on Kubernetes and Azure at a Glance

14. 1414 Azure and Elastic App Search From zero to advanced search in a snap Language-optimized engines Robust search API Search Curation built-in Elastic App Search Powerful relevance Real-time analytics built-in API Language Clients

15. 15 DEMO Elastic App Search on Azure

16. 1616 What Microsoft and Elastic are working on next Roadmap • New Regions for Elasticsearch Service (6 total) ‒ Japan East | UK South | France Central | North Europe (and more) • More Azure service integrations for Beats • App Search on Elasticsearch Service Azure • Azure Marketplace Billing Integration • Azure Private Link for Elasticsearch Service

17. 1717 Come visit us at the Microsoft Booth for a special 30-day Elasticsearch Service trial on Azure! • Elasticsearch Service GA on Azure • Observing Azure with Elastic • Elastic Cloud Kubernetes on AKS THANK YOU!

18. 1818

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