We all use Kubernetes on a daily basis, and the more we use it, the more it is apparent that Kubernetes alone will not be as fruitful as it will be with deeper integrations. One of these integrations is Microsoft Azure, which provides the ability to connect, use, and retrieve information from services on your behalf.

Architecting cloud instrumentation to secure a complex and diverse enterprise infrastructure is no small feat. Picture this: you have hundreds of virtual machines, some with specialized purposes and tailor-made configurations, thousands of containers with different images, a plethora of exposed endpoints, s3 buckets with both public and private access policies, backend databases that need to be accessed through secure internet gateways, etc.

Managing an application's dependencies and tech stack across numerous cloud and development environments is a regular difficulty for DevOps teams. Regardless of the underlying platform it uses, it must maintain the application's stability and functionality as part of its regular duties. However, one possible solution to this problem is to create an OS image that already contains the required libraries and configurations needed to run the application.

In Kubernetes, networking holds immense significance as it enables seamless communication among various components and facilitates uninterrupted data flow. To allow pods within a Kubernetes cluster to engage with other pods and cluster services, each of them requires an exclusive IP address. Consequently, networking solutions in Kubernetes encompass more than mere interconnecting machines and devices.

New playbooks can help detect issues automatically and provide support when troubleshooting your GKE environment.