Organizations are rapidly adopting modern development practices – agile development, continuous integration and continuous deployment (CI/CD), DevOps, multiple programming languages – and cloud-native technologies such as microservices, Docker containers, Kubernetes, and serverless functions. As a result, they're bringing more services to market faster than ever. In this solution, learn how to implement a monitoring system to lower costs, mitigate risk, and provide an optimal end user experience.
Monitoring is the act of observing a system’s performance over time. Monitoring tools collect and analyze system data and translate it into actionable insights. Fundamentally, monitoring technologies, such as application performance monitoring (APM), can tell you if a system is up or down or if there is a problem with application performance. Monitoring data aggregation and correlation can also help you to make larger inferences about the system. Load time, for example, can tell developers something about the user experience of a website or an app. Vertical Relevance highly recommends that the following foundational best practices be implemented when creating a monitoring solution.
For financial services organizations looking to move their applications into AWS, not knowing the true resiliency of those applications, and the infrastructure behind them presents a great risk. Most businesses try to adhere to industry best practices in regards to architecting their AWS environments in a way that is highly available, scalable, and fault-tolerant but there is no avoiding the inevitable failures and disruptions in those environments now and then. With hosting business-critical applications on AWS, businesses need to have a reliable testing strategy framework in place that regularly tests the resiliency of their AWS infrastructure.