Data Lakes 2.0

A New Vision for Log Analytics
A 3-Part Webinar Series
Corey Quinn
Corey Quinn,
Chief Cloud Economist
Mike Leone
Mike Leone,
Senior Analyst, ESG
Thomas Hazel
Thomas Hazel,
CTO & Founder, ChaosSearch
Andrew Kenney
Andrew Kenney,
VP Engineering, Fairmarkit
Searchable Data Lake
01
Turn your Amazon S3 into a Hot, Searchable Data Lake
See how you can run your entire log analytics stack in Amazon S3 as an UltraHot™, managed service.
Featuring: Thomas Hazel and Mike Leone
On Demand

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Monitor and Analyze AWS
02
Monitor and analyze your AWS services directly in S3
Learn how to easily gain insights from the S3 events, metrics, and logs vital to running a complex infrastructure.
Featuring: Thomas Hazel and Corey Quinn
On Demand

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ELK Hidden Costs
03
The hidden cost of ELK (AKA the "anti" data lake)
Learn about the many hidden costs of configuring, implementing and scaling this "free" tool set.
Featuring: Thomas Hazel and Andrew Kenney
On Demand

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Webinar Series Overview
Sign Up for the Webinar Series!

With today’s economic uncertainty there is growing pressure on IT budgets, forcing technology leaders to look for new ways to cut costs and squeeze efficiency from every corner of their operations.  However, with data sitting at the heart of all software-driven businesses, it’s not prudent or viable to simply curtail or shut down log data analytics initiatives.

In this 3 part series “Data Lakes 2.0 - a Vision Realized” we’ll dive head-first into these challenges, and share real examples of companies that are now realizing the originally promised potential of data lakes, but for scalable log analysis.  Hear from practitioners and industry analysts about what’s changed, what’s coming next, and how you can position your company to take advantage.

Featuring:
Corey Quinn, Chief Cloud Economist
Mike Leone, Senior Analyst, ESG
Thomas Hazel, CTO & Founder, ChaosSearch

Webinar 1

Webinar 1: On Demand

Turn your Amazon S3 into a hot, searchable analytic data lake

Featuring: Thomas Hazel and Mike Leone

See how you can run your entire log analytics stack on Amazon S3 as an UltraHot, managed service.  A centralized approach to log management.

In this webcast we will cover:

  • An introduction to ChaosSearch 2.0 - The Data Lake Engine for Scalable Log Analysis
  • Benefits of a cloud Data Lake for log analytics
  • A new architectural approach that provides seamless elasticity and infinite scale
  • Analyzing your data in one place without ETL or data movement
  • Complete control of data at all times - easy access, process, and query in the cloud Data Lake
  • How to lower risk of vendor lock-in
  • Using Kibana to search and analyze log data

This webcast is ideal for engineering managers, developers, SRE teams – anyone interested in observability.

Register to view!

Webinar 2: On Demand

Monitor and Analyze your AWS Services Directly in S3

Featuring: Thomas Hazel and Corey Quinn

Amazon Web Services (AWS) is composed of hundreds of different services. Most of these services provide valuable events, metrics, and logs that are vital to running a complex, distributed infrastructure.

In this webcast we will cover:

  • Stream your AWS services directly into S3 to get real-time insights from all your infrastructure data
  • Leverage AWS event, log, and metric data from CloudWatch and S3
  • Install and configure services in AWS to collect and send data directly to ChaosSearch
  • Using Kibana, configure dashboards that visualize AWS service data
  • Combine other data sources, such as Kubernetes and application logs, to obtain observability of the health and performance of your entire infrastructure
  • Easily search everything to investigate issues and find the root cause of incidents

This webcast is ideal for product executives, developers, SRE teams – anyone interested in offering new revenue opportunities.

Register to view!
Webinar 2
Webinar 3

Webinar 3: On Demand

The Hidden Cost of ELK (aka the “anti” Data Lake)

Featuring: Thomas Hazel and Andrew Kenney

Learn about the many hidden costs of configuring, implementing and scaling this “free” tool set

In this webcast we will cover:

  • An overview of the ELK Stack including benefits and challenges
  • Examples of what’s required to size and scale an ELK Stack
  • Roadblocks you may face as your logging needs grow
  • An introduction to ChaosSearch as an ELK-compatible solution on Amazon S3

This webcast is ideal for engineering managers, developers, SRE teams – anyone interested in observability.

Register to view!