How Autoscaling works in Devops

How Autoscaling works in Devops

The cloud technology is growing significantly and there are new concepts and newer methodologies that are being adapted to support the growing needs of the users. In this blog, we try to understand a term called as AutoScaling. Continue reading to enhance your knowledge of the topic.

What is Auto Scaling?
The idea of using cloud-based technology is to provide agility and scalability to the organisations that use it. This means the server, or the computing power needs to go up significantly when required and ramp down when not needed. This in simple terms is called as Auto Scaling.

The ramping up can happen in many ways, such as increasing the size of virtual machines(Vertical scaling) or calling in more servers(Horizontal scaling) from the grid to support the requirement.

Let us now understand why do we need Auto Scaling?
Programmers are increasingly adapting microservices or API based architecture while developing the applications. Thus making applications fragmented and modules talking to each other frequently. Consider an example of a banking application. There is significantly high traffic on the app on and around the payday of every month. During this time, the application needs extra power to respond to user requests. This is where Auto Scaling comes to the rescue.

It also means that if a programmer has set the right policies to balance the load of the application, it continues to work smoothly. As demand increases, auto-scaling automatically increases the server instances or reduces the computing power when the demand is low.

Many cloud service providers in the market provide this feature. However, the following are the big ones who offer this feature as part of this service. Amazon Web Services (AWS) call this feature as Auto Scaling Groups. Google Cloud calls this feature as Instance Groups and Microsoft Azure sells this feature under the name of Virtual Machine Scale Sets.

Types of Auto-scaling
There are majorly two types of scaling which are in vogue these days.

  • Horizontal Autoscaling: In this type of scaling, the server capacity is called in whenever needed. In horizontal scaling, we need to add more machines or servers based on demand.In this type of scaling, the applications need to be reconfigured often to manage the load.Eg. when you have a small family, you live in a 1bhk apartment, but when you have more members added who are living with you, you purchase or add more houses to support the additional load. This is called Scaling-out or Horizontal scaling.

 

  • Vertical Autoscaling: it is also called as Scaling-up. In vertical scaling the servers are resized depending on the requirement of the bandwidth, instances or processing power., without changing the total number of machines(VMs).This type is very well suited for applications which are required to be hosted on a standalone server. Eg.when you have a small family you can live in a 1bhk apartment, but when you have additional members living with you, you upgrade to the next available size, a 2bhk apartment.Here we are not adding new units but scaling to the next size, this is called Scaling-up or vertical scaling.

The companies are finding autoscaling feature to be effective and efficient in the longer term. Let us now understand what are the advantages of Auto Scaling.

  1. Better Cost management: cost is the major advantage of auto-scaling. When the demand is low, the companies could significantly save on the physical infrastructure costs such as electricity, manpower and other resources. Autoscaling can dynamically add or delete resources as per demand, and you only pay for the time that you use the resources thereby saving on cost.
  2. Redundancy: Autoscaling provides a lot of redundancy, which ensures that there is enough security for the applications hosted on these servers or server farms.
  3. High Availability: Auto Scaling protects the application from failover and makes it resilient.Auto scaling protects against application, hardware, or network failures by detecting and replacing unhealthy instances while still providing application resiliency and availability.
  4. Load Forecasting & Scale On-demand: based on the previous usage trends, various cloud providers also offer predictive autoscaling facilities as part of their service package. This means the companies, or the owners of the applications can anticipate the increase or decrease in the load and plan the capacity accordingly.
  5. Health-Checks and better fault tolerance: automation of server rules will not only help make smart auto-scaling decisions by creating rules and automated groups to prevent faults. If the rule detects a certain instance is unhealthy, then the Autoscaling feature can switch to a different instance and maintain the availability of the application seamlessly.

What is your experience with Auto-scaling? Please share your view with us in the comments section.

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