The Art of Site Reliability Engineering (SRE) with Azure: Building and Deploying Applications That E

T his chapter lays out the foundation of Site Resiliency Engineering, founded by Google. From the base concepts of how IT Operations and Developers need to collaborate, to how SRE helps organizations in running business-critical workloads without major downtime

Chapter 2: Service Level Management definitions and acronyms and their meaning in a real-life context

This Chapter describes all common Service Level Agreements (SLA) definitions and acronyms, looked at from a real-world scenario to provide a clear understanding

o Some examples, SLA, SLO, MTTF, MTBF, MTTR,...

Chapter 3: Architecting Resilient Infrastructure as a Service (IaaS) Solutions in Azure

SRE is all about providing ultimate uptime of your organization's workloads, and this chapter will cover that in relation to Azure IaaS Compute solutions. Explaining the Azure reference architecture for high-available storage, networking and Virtual Machine computing, describing Availability Sets and Zones and ScaleSets as main scenarios. It will also touch on preparing for Disaster Recovery with Azure Backup and Azure Site Recovery, helping you to quickly mitigate outages in case of a failure

Chapter 4: Architecting Resilient Platform as a Service (PaaS) Solutions in Azure

Following on the scenario of Virtual Machines, this chapter details similar reference architectures for Platform Services such as App Services with Web Apps, but also touching on data solutions like Azure SQL and Azure Cosmos DB

Chapter 5: Architecting Resilient Serverless and Microservices architectures in Azure

This third chapter in the reference architecture topic describes how to build high-available, business-critical scenarios using Serverless Functions and Azure LogicApps, as well as Microservices scenarios using Azure Container Instance and Azure Kubernetes Service (AKS).

Chapter 6: Automation to enable SRE with Azure DevOps Pipelines / GitHub Actions

Automation is the cornerstone to SRE, allowing businesses to not only deploy new workloads in a easy way, but also relying on SRE to avoid critical outages or, when an outage occurs, relying on automation to mitigate the problem as fast as possible. Sharing several examples from both Azure DevOps Pipelines and GitHub Actions, this chapter provides the reader a lot of real-life examples to reuse in their own environment

Chapter 7: Efficiently handling blameless post-mortems

Post-Mortems are the way to look back at what caused the outage, and describe any lessons learned for the future, helping in avoiding a similar outage in the future, or assist in quickly fixing an identical incident. Blameless is where the focus is on finding the root-cause of the problem, without pinpointing any individual or team as being the victim. This chapter describes how an open culture around post-mortems dramatically helps in optimizing SRE and the overall company culture around managing and running IT systems and application workloads.

Chapter 8: Monitoring as the key to knowledge

Besides the automated deployments, monitoring is the 2 ^nd big technical topic in any SRE scenario. You can't manage what you don't know. This chapter provides an overview of Azure Monitor and Log Analytics, which forms the foundation of monitoring Azure and Hybrid-running workloads. Starting from metrics for the different Azure services touched on in earlier chapters, this chapter also covers how to export logs to 3 ^rd party solutions such as Splunk or integrating dashboarding tools like Grafana