AzureFunBytes Episode 45 - Observing @Azure with @DatadogHQ, with guest @ryan_maclean

#azure #monitoring #cloud #beginners

AzureFunBytes is a weekly opportunity to learn more about the fundamentals and foundations that make up Azure. It's a chance for me to understand more about what people across the Azure organization do and how they do it. Every week we get together at 11 AM Pacific on Microsoft LearnTV and learn more about Azure.

This week I welcome once again Datadog Developer Evangelist Ryan MacLean to discuss monitoring, observation, and how to integrate Datadog with Azure. Developers and Ops teams require insight into how their deployed applications are performing. By utilizing Datadog with your Azure deployments, on-prem, or even in a multi-cloud solution, you'll get a single dashboard to see all the infrastructure you are managing. Datadog is like many of our partner's SaaS (Software as a Service) offerings that can be configured via the Azure Marketplace. Once your security and metrics ingestion are configured, you can begin getting information directly into your Datadog dashboard. One of my favorite features of Datadog is the "social" aspect to incidents or changes in your infrastructure. When something new happens like a Kubernetes node going offline, you'll be able to find the incident and leave a comment for other team members on what specifically happened.

Agenda:

• Logging and aggregation
• Tracing and instrumentation
• Roll-up and infrastructure metrics
• SLOs and error budgets
• Incident management workflow for all of the above