Hemant Seth's Blog Posts

Hemant is a Principal Product Manager at Splunk, leading the Kubernetes Monitoring offering within Splunk Observability Cloud. Prior to this role, he focused on Splunk Observability Platform administration, including identity management and license usage. Hemant brings over a decade of experience in the observability domain and holds a Master’s degree in Electrical Engineering with a specialization in Telecommunications.

Configuring Nginx Load Balancer For The HTTP Event Collector
Tips & Tricks
3 Minute Read

Configuring Nginx Load Balancer For The HTTP Event Collector

Send data to Splunk w/o a forwarder using HEC (HTTP Event Collector); Perfect for log data over HTTP or IoT. Install Nginx with HTTPS support, then configure.
A Performance Analysis of Python WSGI Servers: Part 2
Observability
6 Minute Read

A Performance Analysis of Python WSGI Servers: Part 2

In part 2 of our Python WSGI Server Comparison series, we share our performance analysis benchmarks for the top 6 Python WSGI Servers, and reveal the highest performing Python WSGI Server.
An Introduction to Python WSGI Servers: Part 1
Observability
6 Minute Read

An Introduction to Python WSGI Servers: Part 1

In part 1 of our Python WSGI Server series, learn what is WSGI and get information on WSGI server types, their framework, and compatibilities
High Performance syslogging for Splunk using syslog-ng – Part 1
Tips & Tricks
4 Minute Read

High Performance syslogging for Splunk using syslog-ng – Part 1

Part 1: Implementing syslog with Splunk and three three scenarios you will be able to do so.
High Performance syslogging for Splunk using syslog-ng – Part 2
Tips & Tricks
7 Minute Read

High Performance syslogging for Splunk using syslog-ng – Part 2

Part 2: Managing multiple syslogs and what has worked in this Splunkers own experience.
Enriching threat feeds with WHOIS information
Tips & Tricks
6 Minute Read

Enriching threat feeds with WHOIS information

Splunk Security continues to grow thanks to insight Splunk Enterprise offers for all data. Finding what’s relevant and how to use the information.