Deploying Elasticsearch & Kibana in Google Cloud
Elastic's Elasticsearch Service recently received a major upgrade, and launched a slew of new features that enable more use cases and bigger workloads across logging, security, and application data.
In this video, learn how Elastic uses the Google Cloud Platform to help build some of the powerful features that are part of the new Elasticsearch Service, including hot-warm architecture, dedicated master nodes, and machine learning for anomaly detection.
- Introduction to Elastic's Elasticsearch Service on GCP
- Learn how Elastic leverages GCP Infrastructure as part of service features
- Demo: Using Elasticsearch Service to monitor Google Kubernetes Service
Want to learn more about the differences between the Amazon Elasticsearch Service and our official Elasticsearch Service? Visit our AWS Elasticsearch comparison page.
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Principal Product Manager, Elastic
Anurag is a Sr. Product Manager on the Elastic Cloud Team, working on the awesome Elasticsearch Service and Elastic Cloud Enterprise (ECE). Anurag has worked on a range of products empowering IT and Developers to solve issues faster and transition to cloud native environments. In his spare time, Anurag loves playing with the new latest and greatest tech, and was one of the first hundred to be a certified kubernetes admin.
Dan Roscigno is a member of the Elastic Product Marketing team focusing on ingestion, logging, and operations use cases. Dan has been in and around Ops for twenty years as a developer, solution architect, evangelist, and educator.