How MS #Azure @Kubernetes Service and @datadog work together
How MS #Azure @Kubernetes Service and @datadog work together
A popular solution is to use a container orchestrator like Kubernetes.
According to a report that analyzed real-world usage data from 1.5 billion
containers, almost 90 percent of containers are orchestrated. An orchestrator
manages container workloads by scheduling, restarting, and load balancing them
across your infrastructure based on the desired state of your cluster. This not only
helps improve the performance and availability of your applications, but can also
be instrumental for efficiently scheduling more containers onto fewer hosts, which
can translate into cost savings for companies. Cloud provider–managed container
services enable teams to modernize their applications and adopt container
orchestration technologies like Kubernetes
Azure Kubernetes Service (AKS) is a hosted service for running Kubernetes, an
open source container orchestration platform that was originally developed at
Google. Kubernetes automates many aspects of deploying, managing, and scaling
containerized workloads. In addition to distributing workloads across nodes in the
cluster, Kubernetes can also automatically scale workloads based on real-time
demand. It also helps improve the availability of mission-critical applications by
automatically relaunching unhealthy containers and nodes as needed.
Kubernetes manifests are configuration files that define the desired state of
objects in the cluster. Manifests describe the number of pods to provision and
the types of containers that will run in each pod. You may also specify resource
requirements for your workloads. Based on the information in your manifests,
the control plane launches and schedules pods to move the cluster closer to the
desired state of your workloads. Kubernetes uses controllers to manage the state
of workloads in your cluster