12/24/2022 0 Comments Monit digitalocean![]() For example, other tools might express metrics out of 200% on a machine with two CPUs, or 400% for a quad-core processor. This differs from some CPU usage tools which report 100% per CPU or core. On DigitalOcean, total use of all processors combined is indicated by 100%. Alert policies do not distinguish between user and system time. System time is time spent executing kernel-level instructions, while user time is time spent executing userland instructions, which is defined by anything outside of the kernel. In the Droplet graphs, CPU usage is broken down based on Linux’s conception of system and user time. CPU utilization is expressed as a percentage. CPU UtilizationĬPU utilization measures the amount of processor being used at a given time. Metrics can either refer to the resource and unit with which to measure, or the data that is collected about that resource. In computing, a metric is a standard for measuring a computer resource. This glossary covers the different system resources tracked, the units used to measure them, and how they are represented by DigitalOcean Monitoring. It provides additional Droplet graphs and supports configurable metrics alert policies with integrated email Slack notifications to help you track the operational health of your infrastructure.ĭigitalOcean Monitoring uses a variety of metrics to track system health. Regardless of the path chosen, the one thing that is clear is that most IT organizations are going to need as much Kubernetes help as is possible, wherever they can find it.DigitalOcean Monitoring is a free, opt-in service that gathers metrics about Droplet-level resource utilization. The issue many of them will need to decide is to what degree they will prefer web-scale providers of cloud services that don’t provide much in the way of hands-on support versus a smaller cloud service provider that is more focused on the end-to-end developer experience. Interest in managed Kubernetes services is rising sharply simply because few IT organizations have the internal expertise require to deploy, manage and secure them. What’s more, the cloud service provider is looking at adding access to object storage to complement the existing block-based storage service it provides, Ramji adds. It also is considering launching a managed DevOps service through which it would provide development teams access to a continuous integration/continuous development (CI/CD) platform. ![]() ![]() ![]() Now that its managed Kubernetes service is generally available, DigitalOcean is considering adding support for bare-metal instances of Kubernetes, Ramji says. Development teams of all sizes these days are concerned about costs that can swing wildly month to month unless they are closely tracked, notes Ramji. DigitalOcean is focused primarily on serving the cloud service requirements of application developers working within startup organizations who tend to be more sensitive to and savvier about the true cost of cloud computing but may not have a lot of expertise in terms of managing Kubernetes clusters.īy making metrics available for free, Ramji says DigitalOcean also wants to make sure development teams don’t find themselves in for a nasty financial surprise at the end of any given month. Ramji notes the goal is to make it easier for the average developer to invoke a managed Kubernetes service running on DigitalOcean than on rival cloud platforms provided by Amazon Web Services (AWS), Microsoft or Google. Somewhere between 3,000 to 4,000 developers participated in the beta program for the managed Kubernetes service, according to DigitalOcean. ![]() Via a kube-state metrics agent, DigitalOcean is also providing access to more advanced metrics gathered from the Kubernetes application programming interface (API) server, including pod deployment status, DaemonSet deployment status and StatefulSet pod deployment status. load average, memory usage, disk usage, disk I/O, private bandwidth and public bandwidth consumption. Specific metrics tracked include CPU usage. In addition to average resource usage for each cluster, IT organizations can view time series graphs for the overall cluster, node pools and individual worker nodes. ![]()
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