Kubernetes Log Monitoring with OpenSearch

Description
Speaker
Kubernetes is the leading choice for production container orchestration. A large Kubernetes cluster can generate huge volumes of logs which are not only the application logs but include node level logs, Kubernetes logs and events. Manually reviewing logs for one container is straightforward. On the other hand if you are searching for logs across an entire application or trying to analyze the performance of your cluster, then you need a centralized log management and data analysis platform. Kubernetes does not have a built-in cluster level logging solution but many external options are available. One such widely used solution is based on Elasticsearch and Kibana with Logstash/Fluentd. Recently OpenSearch (based on ElasticSearch 7.10) has become a popular, true open source alternative to Elasticsearch. In this webinar we will show you how Kubernetes log monitoring can be made easy with OpenSearch. With a OpenSearch based platform, you have a scalable way to search and filter Kubernetes logs and events, visualize the data and apply advanced analytics and ML algorithms.

In this webinar we will look at:
- Kubernetes log monitoring challenges.
- Brief overview of OpenSearch.
- Advantages of OpenSearch based logging solution.
- Setting up and getting started with a OpenSearch Kubernetes log management system.

Who should attend:
The workshop will provide an overview of using OpenSearch as a Kubernetes log management platform. Attendees will gain insight on the benefits of OpenSearch as a logging platform, it’s feature set and how to get started. Following individuals will benefit from the webinar. Following individuals will benefit from the webinar:
- CTO / Business leaders.
- VP of Data or Infrastructure.
- Director of Data Platforms.
- Data Engineers.

Sethuraman M.

Solutions Engineer
  • Date: Nov 16, 10:00 (US Pacific Time)
  • Fee: Free
  • Available Seats: 369 (max 500)
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