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ChaosSearch Blog

Dave Armlin
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About Dave Armlin

Dave Armlin is the VP Customer Success of ChaosSearch. In this role, he works closely with new customers to ensure successful deployments, as well as with established customers to help streamline integrating new workloads into the ChaosSearch platform. Dave has extensive experience in big data and customer success from prior roles at Hubspot, Deep Information Sciences, Verizon, and more. Dave loves technology and balances his addiction to coffee with quality time with his wife, daughter, and son as they attack whatever sport is in season. He holds a Bachelor of Science in Computer Science from Northeastern University.

Articles by Dave Armlin

10 MIN READ

Unpacking the Differences between AWS Redshift and AWS Athena

By Dave Armlin on Mar 14, 2024

On top of their industry-leading cloud infrastructure, Amazon Web Services (AWS) offers ...

TOPIC

9 MIN READ

Inside DataOps: 3 Ways DevOps Analytics Can Create Better Products

By Dave Armlin on Feb 29, 2024

Can DataOps help data consumers reveal and take action on powerful product insights hidden in...

11 MIN READ

3 Straightforward Pros and Cons of Datadog for Log Analytics

By Dave Armlin on Jan 4, 2024

Observability is a key pillar for today’s cloud-native companies. Cloud elasticity and the...

13 MIN READ

SIEM Logging for Enterprise Security Operations and Threat Hunting

By Dave Armlin on Oct 19, 2023

Today’s enterprise networks are diverse and complex. Rather than the simple network perimeter of...

19 MIN READ

Data Retention Policy Guide

By Dave Armlin on Aug 10, 2023

Data retention policy continues to be a major focus for CIOs in 2023. Here’s why:

13 MIN READ

Data Lake Architecture & The Future of Log Analytics

By Dave Armlin on Jun 15, 2023

Organizations are leveraging log analytics in the cloud for a variety of use cases, including ...

16 MIN READ

10 AWS Data Lake Best Practices

By Dave Armlin on Jun 1, 2023

A data lake is the perfect solution for storing and accessing your data, and enabling data...

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