35 min

Continuous Application Profiling The Cloudcast

    • Technology

Hugo Kaczmarek (Product Manager) and Markus Hirt (Director Engineering) @Datadoghq talk about continuous application profiling in production, having better visibility in application environments, and managing performance budgets. 
SHOW: 473

SHOW SPONSOR LINKS:
BMC Wants to Know if your business is on its A-GameBMC Autonomous Digital EnterpriseCloudAcademy -Build hands-on technical skills. Get measurable results. Get 50% of the monthly price of CloudAcademy by using code CLOUDCASTDatadog Security Monitoring Homepage - Modern Monitoring and AnalyticsTry Datadog yourself by starting a free, 14-day trial today. Listeners of this podcast will also receive a free Datadog T-shirt.CLOUD NEWS OF THE WEEK - http://bit.ly/cloudcast-cnotw

PodCTL Podcast is Back (Enterprise Kubernetes) - http://podctl.com

SHOW NOTES:
Datadog Continuous ProfilingHow to write a Python profiler Deep Distributed Tracing
Topic 1 - Welcome to the show and welcome back to the show. Before we dig into today’s topic, can you give us a little bit of your background and how you became focused in this area? 
Topic 2 - Production used to be a pretty sacred and untouched environment. Now we’re seeing the need to create chaos in production, test in production, and know more about how things actually work in production. Let’s talk about this concept of “profiling”.  
Topic 3 - People often talk about having to “instrument their code” to be able to get feedback. How does that differ from profiling, and what unique things does an application need to be profiled in production? 
Topic 4 - On the surface, this seems like it would add quite a bit of overhead to the applications. How do you manage to find the right balance of performance and visibility? 
Topic 5 - Help us understand how profiling fits into the bigger picture of all the tools needs - Logging, APM, Observability, etc? 
Topic 6 - Is there a profile of who needs profiling? Is this every application team, or just for specific applications (e.g. event-streaming, etc.)? 

FEEDBACK?
Email: show at thecloudcast dot netTwitter: @thecloudcastnet

Hugo Kaczmarek (Product Manager) and Markus Hirt (Director Engineering) @Datadoghq talk about continuous application profiling in production, having better visibility in application environments, and managing performance budgets. 
SHOW: 473

SHOW SPONSOR LINKS:
BMC Wants to Know if your business is on its A-GameBMC Autonomous Digital EnterpriseCloudAcademy -Build hands-on technical skills. Get measurable results. Get 50% of the monthly price of CloudAcademy by using code CLOUDCASTDatadog Security Monitoring Homepage - Modern Monitoring and AnalyticsTry Datadog yourself by starting a free, 14-day trial today. Listeners of this podcast will also receive a free Datadog T-shirt.CLOUD NEWS OF THE WEEK - http://bit.ly/cloudcast-cnotw

PodCTL Podcast is Back (Enterprise Kubernetes) - http://podctl.com

SHOW NOTES:
Datadog Continuous ProfilingHow to write a Python profiler Deep Distributed Tracing
Topic 1 - Welcome to the show and welcome back to the show. Before we dig into today’s topic, can you give us a little bit of your background and how you became focused in this area? 
Topic 2 - Production used to be a pretty sacred and untouched environment. Now we’re seeing the need to create chaos in production, test in production, and know more about how things actually work in production. Let’s talk about this concept of “profiling”.  
Topic 3 - People often talk about having to “instrument their code” to be able to get feedback. How does that differ from profiling, and what unique things does an application need to be profiled in production? 
Topic 4 - On the surface, this seems like it would add quite a bit of overhead to the applications. How do you manage to find the right balance of performance and visibility? 
Topic 5 - Help us understand how profiling fits into the bigger picture of all the tools needs - Logging, APM, Observability, etc? 
Topic 6 - Is there a profile of who needs profiling? Is this every application team, or just for specific applications (e.g. event-streaming, etc.)? 

FEEDBACK?
Email: show at thecloudcast dot netTwitter: @thecloudcastnet

35 min

Top Podcasts In Technology

No Priors: Artificial Intelligence | Technology | Startups
Conviction | Pod People
All-In with Chamath, Jason, Sacks & Friedberg
All-In Podcast, LLC
Lex Fridman Podcast
Lex Fridman
Acquired
Ben Gilbert and David Rosenthal
Hard Fork
The New York Times
TED Radio Hour
NPR