NEW YORK, NY and TEL AVIV, ISRAEL – Logz.io, the Predictive ELK (Elasticsearch, Logstash and Kibana) log analytics cloud service company, announced today that it was chosen to speak at DevOps Summit, which will take place on November 3-5 in Santa Clara, California.
Logz.io will present three sessions at the conference:
What: Zero to Petabytes of Processing in One Year
Where: Room B3 — Mission City Ballroom
When: Tuesday, November 3 at 11 a.m PST
Who: Tomer Levy and Asaf Yigal
Logz.io will explore the entire process that we have undergone — through research, benchmarking, implementation, optimization, and customer success — in developing a processing engine that can handle petabytes of data. We will also discuss the requirements of such an engine in terms of scalability, resilience, security, and availability along with how the architecture accomplishes these requirements. Lastly, we will review the gory details of the technologies we have chosen, which are based mostly on open-source platforms including Kafka, Elasticsearch, and Docker as well as other proprietary technologies.
What: Logz.io Demo Session
Where: General Session Room — Ballroom A-H
When: Wednesday, November 4 at 10:40 a.m PST.
Who: Tomer Levy and Asaf Yigal
Logz.io will showcase its enterprise-grade version of ELK, the most popular open-source log analytics platform, as a cloud service. With Logz.io’s cloud service, companies get access to a holistic ELK solution with seamless setup, enterprise-grade features, and strict security standards. Logz.io employs unique machine learning algorithms to automatically analyze the collaborative insights of DevOps teams around the world. The predictive platform surfaces critical log events before they impact operations, providing users with unprecedented operational visibility into their systems with zero pre-knowledge or configuration of their logging system.
What: How to Use Kibana 4 for Log Analysis
Where: General Session Room — Ballroom A-H
When: Wednesday, November 4 at 12:00 p.m PST.
Who: Asaf Yigal
Logz.io will explore the value of Kibana 4 for log analysis and will give a real live, hands-on tutorial on how to set up Kibana 4 and get the most out of Apache log files. We will examine three use cases: IT operations, business intelligence, and security and compliance. This is a hands-on session which will require participants to bring their own laptops, and we will provide the rest.
About Logz.io:
Logz.io makes log data meaningful by offering ELK, the world’s most popular open-source log analytics platform, as a predictive, enterprise-grade software as a service. Powered by machine-learning algorithms, the platform provides real-time access to insights based on the collaborative knowledge of DevOps professionals around the world. To learn more, follow us on Twitter, LinkedIn, Facebook, and Google+, or visit our blog.