Monitoring and Alerting for Horizontal Auto-Scaling Pods in Kubernetes Using Prome Theus

Software application that is deployed in a cloud environment as opposed to being hosted on a local server or machine is referred to as a cloud application. It is a piece of software that combines local and cloud-based components. The existing model uses remote servers that are accessed through a web browser and an ongoing internet connection to process logic. For deploying the application in cloud computing, currently there is no adequate infrastructure and adequate order in deploying with achieving the zero-down time. Organizations are using one time deployment for deploying their application and upgrading that application will lead to crash down and result in down time in deployment. For monitoring and alerting the cause of error in deployment of the application, there is no specific solution for that. Thus by using multiple tools like Kubernetes, helm, Prometheus, Grafana, etc… using together and optimized, we can achieved the above scenario in the most optimized manner. Cloud applications offer businesses quick time to market and agility because they can be updated, tested, and deployed quickly. This speed may result in cultural changes in how businesses operate. Cloud applications offer businesses quick time to market and agility because they can be updated, tested, and deployed quickly. This speed may result in cultural changes in how businesses operate.