Name: Why you should use Elastic for infrastructure metrics
Start: 2021-05-05T16:00:00Z
End: 2021-05-05T16:00:24.000Z
Location: BrightTALK

Elastic builds software to make data usable in real time and at scale for search, logging, security, and analytics use cases. Founded in 2012, the company develops the open source Elastic Stack (Elasticsearch, Kibana, Beats, and Logstash) and Elastic Cloud (a SaaS offering). To date, there have been more than 225 million cumulative downloads. Elastic has a distributed workforce with more than 800 employees in 30 countries. Learn more at elastic.co.

In the automotive world, time to market and innovation are critical. This includes digital solutions driven by software teams. Audi Business Innovation (ABI), a subsidiary of AUDI AG, uses Elastic to provide observability as a service to all developers within the VW-Group, helping them rapidly bring digital solutions to market. Learn how Elasticsearch Service helps them focus on delivering value to their customers, while saving time and costs.

Observability with Elastic at Audi Business Innovation

From security detection rules to log categorization, machine learning capabilities in the Elastic Stack are tightly integrated to support a wide number of use cases. Learn how machine learning is both a differentiating horizontal capability within the Elastic Stack as well as a force multiplier within the Elastic Observability and Elastic Security solutions.

Machine learning and the Elastic Stack: Everywhere you need it

Cisco provides high-end post-sale support to its partners and customers with a self-service platform for analytics and insights on their product entitlements. Learn how Cisco implemented Elasticsearch as the primary component of its technical stack to achieve sub-second response, high availability, and scale on more than two billion assets, and how Logstash helps ingest and collate 20 to 40 million change events per day in near real time.

Elasticsearch and Cisco’s next-gen customer experience

Customers, now more than ever, want to solve support issues on their own using websites and mobile applications. And self-service customer support translates to reduced support costs and higher customer satisfaction. Learn how Elastic Enterprise Search helps you achieve all this and more.

Creating stellar customer support experiences using search

One of the great hallmarks of using Elasticsearch, especially on Elastic Cloud, is the ability to move at warp speed when putting something into production. Get a walkthrough on how to get up and running with Elasticsearch in real time and learn tips for how to make sure your Elasticsearch clusters are ready to meet the demands of your organization.

Elasticsearch: From development to production in 15 minutes

Widely known for full-text search and logging, the Elastic Stack has evolved into a compelling solution for infrastructure metrics use cases. From fast and efficient time series datastore to integrations for onboarding common service metrics and dedicated UIs for visual exploration, see the many reasons to start using Elastic for your infrastructure metrics use case today.

Why you should use Elastic for infrastructure metrics

Monitoring

Cloud

Digital Transformation

DevOps

Data Analytics

Machine Learning

Enterprise Applications

Data Architecture

Developers

Data Analysis

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Why you should use Elastic for infrastructure metrics

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Elastic North America