<img src="https://certify.alexametrics.com/atrk.gif?account=Zpb+p1uhUo20dG" style="display:none" height="1" width="1" alt="">
AWS _ Datadog-1
powered by:
Techstrong Learning
How to Integrate Successful DevSecOps Practices Within Your Enterprise
On Demand
Anytime

DevOps and security teams both want to ensure that security and observability are embedded at every critical juncture of their cloud environment and throughout the software development life cycle (SDLC), including post-deployment. But with so many best practice guides and unique cloud environments, how can you tell which approach is best to configure your cloud environment? It doesn't have to be so complicated. Despite all the nuances, the underlying building blocks remain the same.


In this session, experts from AWS and Datadog will explore these basic building blocks of DevSecOps and observability, why they are important and how to implement them for success throughout your enterprise. Join Sam Elmalak, solutions leader, cloud foundations at AWS, and Nathan Case, senior technical advocate at Datadog, to learn:

  • What those building blocks are and how you can apply them to your environment
  • Why each cloud provider’s best practices may seem different but are mostly the same
  • Actionable takeaways that you can implement right now
  • How to architect your cloud to meet your security and observability goals

SPEAKERS
Sam Elmalak
Solutions Leader, Cloud Foundations - AWS
Solutions Leader, Cloud Foundations - AWS Solutions Leader, Cloud Foundations - AWSSolutions Leader, Cloud Foundations - AWS Solutions Leader, Cloud Foundations - AWS Solutions Leader, Cloud Foundations - AWS Solutions Leader, Cloud Foundations - AWSSolutions Leader, Cloud Foundations - AWS Solutions Leader, Cloud Foundations - AWS
 
 
 
 
Nathan Case
Senior Technical Advocate - Datadog
Senior Technical Advocate - DatadogSenior Technical Advocate - DatadogSenior Technical Advocate - DatadogSenior Technical Advocate - DatadogSenior Technical Advocate - DatadogSenior Technical Advocate - Datadog