Twain Taylor, Author at Sumo Logic
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Twain Taylor

Twain Taylor

Twain Taylor is a member of the Sumo Logic Community. Twain began his career at Google, where, among other things, he was involved in technical support for the AdWords team. His work involved reviewing stack traces, and resolving issues affecting both customers and the Support team, and handling escalations. Later, he built branded social media applications, and automation scripts to help startups better manage their marketing operations. Today, as a technology journalist he helps IT magazines, and startups change the way teams build and ship applications.

Top 5 Metrics to Monitor in IIS Logs

When using and troubleshooting IIS web server performance, logs are an essential resource. Let’s look at the top metrics on IIS logs and how to get the most out of logging when working with IIS servers. Log file formats supported by IIS IIS supports four types of log formats: W3C – This format centralizes all […]

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Kubernetes Logging Overview

Kubernetes is gaining adoption at every type of organization, and has become the leading container orchestration tool. And although Kubernetes makes container orchestration simple, Kubernetes itself isn’t always easy. Kubernetes helps you manage containers, but it doesn’t come with built-in tools for monitoring and working with it. To manage a Kubernetes cluster effectively, you need […]

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AWS Config vs. CloudTrail

AWS is a vast universe with over 100 cloud services, all geared to provide you with the most robust, reliable, and cost-effective cloud computing experience. Many of these services are closely related, and almost seem to overlap. There are multiple database services, logging services, resource creation services, compute services, notification services and even multiple configuration […]

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SIEM is Not the Same for Cloud Security

IT has always given importance to security and compliance. As infrastructure becomes more and more complex, IT needs to evolve toward more mature ways of monitoring applications and infrastructure. This means letting go of strategies, models, and products such as SIEM that used to work a decade ago, but are unable to serve the needs […]

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Machine Learning and Log Analysis

Log analysis involves large volume of data. Startups can generate a couple of gigabytes of data per day, and the largest web companies like Facebook log many terabytes of log data every day. (Back in 2009, Facebook was already logging a full 25TB daily.) How can you make sense of all that data? If you […]

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