Kubernetes provides a powerful networking model for microservices. One of the pillars of this model is that each pod has its own IP address and is directly addressable within the cluster. As a consequence, each Kubernetes cluster usually has a flat virtual network that external hosts can’t reach directly. That means routing traffic from clients outside the cluster to services deployed inside the cluster requires some additional work.
Deploying a new feature to production is a momentous occasion. It's important to ensure that everything goes properly at this stage, as deployments tend to be error-prone when not handled correctly. To examine why this is and how you can avoid it, let's take a look at the different types of deployments available and where some of them fall short.
Everyday IT operators are trying to prevent outages of business-critical applications. When prevention is not possible, IT operators strive to reduce the mean time to repair (MTTR) as much as possible. Improving resolution time can be quite a challenge. But IT operators don't stand alone in this challenge. They can use smart solutions that support Automated Root Cause Analysis and Anomaly Detection.
