Using Elastic as your Analytics Foundation

Presented by

CA Technologies: Bryan Whitmarsh Sr. Principal Product Manager; Himanshu Pande, Senior Director of Product Management

About this talk

The collection of performance, usage, and error/crash data is a critical first step in building an application or infrastructure based analytics engine. Once collected, the normalization of this data into a proficient repository, that makes the data available to be analyzed, becomes the foundation of your Analytics initiatives. In this interactive webcast, experts from CA Technologies will facilitate some key topics related to using the ELK stack as a basis for their Analytics engine, sharing their lessons learned and best practices. The ELK stack is a set of products (Elasticsearch, Logstash, and Kibana) provided by Elastic used to log, store, and visualize both structured and unstructured data. We’ll answer these questions, and more in this webcast: •Why leverage the ELK Stack as part of your analytics strategy? •Lessons learned in running Elasticsearch at scale (Master Nodes + Client Nodes + Hot Nodes + Warm Nodes) •How to best support multi-tenant SaaS solutions with ELK •Elasticsearch is just one component of a Lambda Architecture, what else can/should be used? •How you can leverage CA’s new Agile Ops analytics platform to predict performance anomalies, end alert storms and false positives and leverage machine learning for faster root cause analysis.

Related topics:

More from this channel

Upcoming talks (0)
On-demand talks (159)
Subscribers (9087)
In today’s economy where every business is in the software business, downtime is costly and slow is the new down. Proactively managing and improving the experience of modern applications, cloud or traditional infrastructures and networks is a necessity but it’s not easy. To help manage the increasing volume, velocity and variety of data - APM solutions have evolved to include AIOps to correlate and analyze data across users, applications, infrastructure, and network services and to apply machine learning and advanced analytics to deliver a new level of visibility and actionable insights.