Serverless Infrastructure Autoscaling
Large-scale compute clusters are expensive, so it is important to use them well. Utilization and efficiency can be increased by running a mix of workloads on the same machines: CPU- and memory-intensive jobs, small and large ones, and a mix of offline and low-latency jobs – ones that serve end-user requests or provide infrastructure services such as storage, naming or locking.
The challenge of scaling containers
Containers orchestration topology is usually built on Clusters, each cluster has Services/Deployments (which can be referred to as applications), services are running Tasks/Pods. Each Task/Pod has a Task definition which tells the scheduler how much resources the Task requires.
If your cluster runs 10 machines of
2 vCPUs and
3.8 GiB of RAM) and 10 machines of
4 vCPUs and
7.5 GiB of RAM), so your total vCPUs is
61,440 CPU Units and the total
RAM is 113 GiB.
But, what happens if a single Task requires
16 GiB of RAM? Although you have plenty of RAM and CPU, it won’t start.
With Elastigroup Containers Autoscaling, it’ll match the Task/Pod with the appropriate Instance Type / Size, with zero overhead or management.
It dynamically scales your cluster up and down to ensure there are always sufficient resources to run all tasks and at the same time maximizing resource efficiency in your cluster. It does this by optimizing task placement across the cluster in a process we call Tetris Scaling, and by automatically managing
Headroom – a buffer of spare capacity (in terms of both memory and CPU) that makes sure that when you want to scale quickly more containers, you don’t have to wait for new VMs (Instances) to be provisioned.
Scale Down Behavior
Elastigroup monitors the Cluster for idle instances. An instance is considered idle if it has less than
40% CPU and Memory utilization.
When an instance is found idle for the specified amount of consecutive periods, Elastigroup will ensure that the running containers on the idle instance will find a new home on other instances, then, it will drain the Containers, reschedule those on other instances and terminate the idle instance.
Scale down uses the Evaluation Period which is defined as the number of consecutive minutes to check before determining that an instance is underutilized.
Labels & Constraints
Elastigroup supports built-in and custom Task placement constraints within the scaling logic. Task placement constraints gives you the ability to control where your tasks are scheduled, such as in a specific Availability Zone or on instances of a specific type. You can utilize the built-in ECS container attributes or create your own custom key-value attribute and add a constraint to place your tasks based on the desired attribute.