[Guide] How to comprehensively and effectively monitor containers, K8s, and microservices is an important issue facing cloud-native technologies. However, the complex relationships within the framework of cloud-based products have brought great difficulties for operation and maintenance personnel to understand system behavior or analyze system performance. Great challenge. This article explains in detail the cloud-native full-stack monitoring solution, including health check, container monitoring, log monitoring, call chain monitoring, service performance monitoring, etc.
foreword
At present, the process of cloudification and digitalization of global enterprises continues to accelerate, cloud-native technologies such as containers and microservices are rapidly infiltrating software architectures, and cloudification and complexity of IT architectures continue to drive the performance monitoring market. The continuous transformation of enterprise cloudification and digitalization, and in order to consider the flexibility and efficiency of the system, the application of a large number of cloud-native technologies in enterprise software development promotes rapid changes in the global IT monitoring market. How to comprehensively and effectively monitor containers, K8s, and microservices is the key An important issue facing cloud native technology today.
background and challenges
Cloud-based products usually adopt a service-oriented framework, which consists of a series of microservices, and microservices are processes that can run independently. Different services can use different development languages, and may be distributed and deployed on thousands of servers, or may even span multiple Different data centers use lightweight communication mechanisms between services; there are complex calling relationships between services, which poses a huge challenge for operation and maintenance personnel to understand system behavior or analyze system performance, such as:
(1) Whether the container is running normally
(2) Whether the K8S is running normally.
(3) Microservices are normal
(5) There is a problem with the business call, how to quickly find out which service failed?
(6) A business call takes a long time, how to quickly find the performance bottleneck?
(7) How to quickly obtain the business log of a certain call for analysis and positioning?