Microsoft Azure and Microsoft, in general, has a history of being seen as designed for big enterprises only. Those days are in the past. Azure is working its way to the front of the pack for cloud services. It is easy to transition your workflows to Azure because it connects well with other Microsoft tools you use. Even though it is a smoother transition, it is just as complex and complicated as other large cloud providers.

Cloud environments are always susceptible to security issues. A significant contributor to this problem is misconfigured resources. Traditional IT Infrastructure was somewhat static; server hardware only changed every few years. With few changes occurring, security was also more static. The modern cloud environment is a much different challenge. In cloud environments, servers, services, and storage are created with automation, resulting in a dynamic and potentially ever-changing server environment.

Cloud native observability is at a watershed moment. The explosion of microservices has created previously unseen amounts of monitoring data, limiting the ability of humans and computer systems to extract meaning from data with last-generation tools. Debugging is often a process of detecting correlation, and then turning correlations into causal connections. This is where modern cloud native tooling comes in.

Say you are an awesome developer sitting contentedly at your desk when a Slack message suddenly interrupts your peaceful mental flow: It would appear there is a data issue with the new Activity History service released last month… Or at least a couple people think there is. Now, instead of making progress on new tasks, you now need to drop those and look into what’s happening here. Sigh.

Serverless is synonymous with Event-Driven Architecture, where Events are a fundamental block of information that is passed around to execute certain application logic. It is very important that events are delivered to the right destination with expected behavior to make sure the whole serverless application works as one. Events are relayed from one place to another through communication services, either in sequence or in parallel.