Sadaf Khan joins Evan and Russell to explain and talk about Service Reliability Engineering in the Azure engineering group.

Media file: https://azpodcast.blob.core.windows.net/episodes/Episode504.mp3

YouTube: https://www.youtube.com/watch?v=QNGdTnb1W90&t=1684s

• Public Preview: Customer managed planned failover for Azure Storage
• Public Preview: Instance Mix on Virtual Machine Scale Sets
• Generally Available: Workspaces in Azure API Management
• Generally Available: Azure NetApp Files storage with cool access for all service levels
• Generally Available: Larger Enterprise tier cache instances for Azure Cache for Redis
• Generally Available: Azure Red Hat OpenShift Now Supports Clusters Up to 250 Nodes

Key Topics:

• Azure Reliability SRE: Evan introduced the episode's focus on Azure reliability SRE and mentioned a special guest, Sadaf, who would provide insights on the topic. 0:19
• Azure Storage Public Preview Feature: Russell discussed a new public preview feature for Azure storage that allows customers to manage planned failovers, enhancing the service's reliability. 1:10
• Virtual Machine Scale Set Update: Russell highlighted an update to virtual machine scale sets that allows mixing different instances, improving flexibility and scalability. 1:38
• Azure API Management Workspace: Russell introduced a new feature in Azure API management that enables teams to have more autonomy in managing and publishing APIs. 2:08
• NetApp Files Storage Update: Russell mentioned the general availability of cool access for NetApp files storage, allowing for more cost-effective data storage based on access patterns. 2:40
• Redis Cache Update: Russell discussed a new tier for Redis Cache that supports larger enterprises with increased memory and compute capabilities. 3:02
• Azure Red Hat Openshift Update: Russell shared an update on Azure Red Hat Openshift, which now supports up to 250 nodes, significantly increasing scalability. 3:29
• SRE Role and Impact: Sadaf explained the role of SRE in improving service reliability and quality, detailing their engagement model with various Azure services. 4:52
• SRE Engagement and Resistance: Sadaf shared insights on the initial resistance faced from service teams during SRE engagements and how trust is built over time to allow for more impactful changes. 7:49
• SRE's Approach to Service Improvement: Sadaf outlined the SRE team's structured approach to service improvement, focusing on fundamentals, service health, operational efficiency, and scalability. 10:51
• AI Initiatives in SRE: Sadaf discussed the SRE team's initiatives in leveraging AI to analyze incident data and generate insights, aiming to reduce the cognitive load on engineers. 30:27