Greg Leffler's Blog Posts

Greg heads the Observability Practitioner team at Splunk, and is on a mission to spread the good word of Observability to the world. Greg's career has taken him from the NOC to SRE to SRE management, with side stops in security and editorial functions. In addition to Observability, Greg's professional interests include hiring, training, SRE culture, and operating effective remote teams. Greg holds a Master's Degree in Industrial/Organizational Psychology from Old Dominion University.

Monitoring Tools: 6 to Cover All Your Needs
Observability
11 Minute Read

Monitoring Tools: 6 to Cover All Your Needs

Here are the six different types of monitoring tools that will give you and your team everything you need to feel confident about your applications' health.
New: Optimize Slow Queries with Enhanced Database Visibility in Splunk Observability
Observability
3 Minute Read

New: Optimize Slow Queries with Enhanced Database Visibility in Splunk Observability

Splunk APM’s enhanced database visibility now helps you find slow and high execution queries causing service performance issues in SQL databases, no instrumentation required. On-call Service owners and SREs can quickly identify if a database is causing performance issues, isolate the query responsible, and pinpoint root cause within distributed systems, to troubleshoot faster.
Top Devops Tools: 10 Essential Tools for Actual Practitioners
Observability
6 Minute Read

Top Devops Tools: 10 Essential Tools for Actual Practitioners

These are the top ten devops tools essential for actual practitioners. We break down the tools your team should have in the areas of version control, containerization, config, observability and monitoring.
How to Optimize Your Cloud Spend Using Observability
Observability
3 Minute Read

How to Optimize Your Cloud Spend Using Observability

Cloud services make deployment easier but can make costs higher. Learn how Observability can help you control your cloud costs in this blog post from Splunk.
How to Use Observability to Reduce MTTR
Observability
3 Minute Read

How to Use Observability to Reduce MTTR

MTTR (mean time to recovery) is a key performance measurement for any application. Observability helps you reduce MTTR dramatically. Learn how and try it today.
The Hidden Cost of Sampling in Observability
Observability
4 Minute Read

The Hidden Cost of Sampling in Observability

If your observability platform makes you sample, you may be drawing incorrect conclusions from it – resulting in large hidden costs and consequences. Learn more about how you can avoid missing out on critical insights at the most relevant time.