Cloud Native Monitoring - The 'Go To' for Cloud based Organizations

Cloud was once the phenomenon, now Cloud Native. The massive information explosion has seen the rise of scalable systems that allows organizations to have their data stored in virtual, serverless databases in a more integrated and convenient manner. Building over the primary idea of cloud computing, Cloud Native has taken the industry by storm given its ability to better business value through increased system hybridization. While the turnkey application developments in Cloud Native has undoubtedly led to hassle free running of businesses, there is an increasing need for monitoring the technological architecture that provides these facilities. Constant upgrades are becoming critical for ensuring security and performance of the same isn't threatened.

Cloud Native Monitoring has therefore gained a growing momentum, encompassing in its purview, the need for effective scrutiny of speedily doled out functions by DevOps teams. It also involves the interplay of other components like Microservices, Containers and Continuous Delivery, an adequate understanding of which is required for effective monitoring process. This makes the entire system distributed which can be used advantageously for monitoring purposes if the interconnections are holistically understood and differentially addressed. Accordingly, open source tools available can be deployed at varying levels and combinations, in collaboration with what major providers have to offer. Istio is considered a viable option in terms of providing security to the concept of ‘microservices’. The use of Kubernetes for inspecting issues in containerization and Prometheus for overseeing events and alerting in case of discrepancies have become popular options now. Other effective tools in demand include ELK Stack and Grafana with its ability to simplify data logs by allowing comprehensive visualization and storage.

The use of black box monitoring methods to externally scan the system and providing analytical statistics to gauge the overall condition of applications should be conducted on a regular basis and to observe the anomalies, if any. Trouble shooting potential threats and addressing them before the occurrence of any security lapse, error or user issue, is necessary to avoid client dissatisfaction. Thus, it’s imperative for a sustainable model of development in the cloud computing domain.