![]() ![]() The cloud provider spins up the necessary computing infrastructure to process the requests for the functions. Serverless architectures help developers deploy applications as chunks of business logic. Serverless computing (Azure Functions and AWS Lambda) is a relatively new phenomenon that promises to grow in importance. And you may rely on Azure SQL databases and a hosted caching service, such as Redis. For example, you may use a service, such as Azure App Service, to deploy your applications to the cloud. You may not even have any servers or other infrastructure when you are using a cloud environment. The cloud provider monitors and manages the infrastructure that you’re renting, so you don’t need to worry about typical IT infrastructure issues, such as servers that crash, disks that fail, and networks that drop packets. However, most cloud deployments don’t require you to perform these standard monitoring functions. Traditional IT monitoring is focused on monitoring the computing environment-servers, storage, and networks, among other pieces. Serverless functions, like Azure Functions or AWS LambdaĬloud-based SaaS services, such as Office 365, Salesforce, or Adobe Creative CloudĪpplication-hosting services, like Azure App Service, Google Compute Engine, or HerokuĪpplication Performance Monitoring (APM) and the Cloud Servers hosted by a cloud provider, such as Azure or AWS Here’s a summary of the types of cloud services you may be monitoring in the cloud: Monitoring the cloud involves monitoring of various types of cloud servers, beyond the servers that you host in AWS or Azure, or a different cloud platform. In modern environments, you must also monitor website performance, containers (which are increasingly prevalent in the cloud), and microservices. Application performance monitoring is at least, as important, if not more so, than server monitoring. You must not only monitor server performance metrics, such as the standard CPU, memory, I/O, and network performance, but also several other things. Cloud monitoring goes far beyond the monitoring of servers. Monitoring Linux servers in the cloud is vastly different from traditional monitoring. Principle 3: Monitor Your Applications Running on Linux Across the Entire Stack ![]()
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