CPU and RAM utilization are not the only source of problems; problems can also arise from misconfigured firewalls and routing, or misbehaving services causing too much traffic.

Traffic analytics tools will provide an overview of the networks in the solution and help identify sources that generate high traffic levels. Network performance managers offer tools that allow you to create specific tests between two endpoints to investigate particular issues.

For hybrid environments, VPN meters specifically monitor your direct connection links to your on-premises networks.

Monitoring for DevOps and applications

For solutions with well-integrated DevOps code libraries and deployment pipelines, additional metrics and alerts will notify you of failed builds and deployments. Information, support tickets, or work tasks can be automatically raised and linked to the affected build.

Additional application-specific monitoring tools allow for an in-depth analysis of your application’s overall health, and again will help with troubleshooting problems.

Application maps, artificial intelligence (AI)-driven smart detection, usage analytics, and component communications can all be included in your designs to help drive operational efficiencies and warn of future problems.

We can see that for every aspect of your solution design—security, resilience, performance, and deployments—an effective monitoring and alerting regime is vital to ensure the platform’s ongoing health. With proper forethought, issues can be prevented before they happen. Forecasting and planning can be based on intelligent extrapolation rather than guesswork, and responding to failure events becomes a science instead of an art.

Summary

In this chapter, we looked at a high-level view of the architecture and the types of decisions that must be considered, agreed upon, and documented.

By thinking about how we might design for security, resilience, performance, and deployment and monitor all our systems, we get a greater understanding of our solution as a whole.

The last point is important—although a system design must contain the individual components, they must all work together as a single, seamless solution.

In the next chapter, we will look at the different tools and patterns we can use in Azure to build great applications that align with best-practice principles.