Debut Infotech
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Debut Infotech

Understanding How Autoscaling Works in DevOps

Are you finding it difficult to instantly scale resources to fit demand and server load? Looking for a solution that could help you effectively handle the current application load and let you pay only for the compute resources you need at any given time?

Well, if that the case, auto-scaling is your best bet as it empowers you to have adequate instances to diligently handle application load, not only in the case of spikes in traffic but also during lag periods.

Auto-scaling regulates capacity to maintain constant performance, and that too at the lowest possible price. It can reduce your DevOps load for adding and removing instances manually. Besides that, it also allows you to save infrastructure costs with on-demand scaling of instances, instead of pre-provisioning instances for your peak demand.

Well, before moving any further, let’s first understand what autoscaling exactly means.

Autoscaling Demystified

Autoscaling is the strategy that involves auto-adjusting the computing power based on the current resource load. More website visitors can place more load or strain on your servers. Leveraging cloud computing services provided by big guns like Amazon AWS or Microsoft Azure can help scale up the servers when the demand is more and scale down when the demand is less.

Autoscaling can be done in two major ways: the first one is by increasing the size of virtual machines VMs, and this process is known as ‘Vertical Scaling’. And, the second one is by calling in more servers from the grid to support the requirement, which is also referred to as ‘Horizontal Scaling’.

If a programmer sets the right policies to balance the load of the application, it will continue to work smoothly. With the increase in demand, auto-scaling automatically increases the server instances or reduces the computing power with the decrease in demand.

Programmers these days are increasingly adapting microservices or API-based architecture to develop applications. This makes applications fragmented and modules dependent on one another recurrently.

Let’s make it more clear with the help of an example.

Autoscaling: A Practical Implementation

Consider a banking application with significantly high traffic, especially around the payday of every month. During this specific period, the application needs a little extra power to respond to user requests. This is where auto-scaling comes into the picture.

Autoscaling is a powerful option for controlling costs and automating resource and service scaling. It serves as a huge advantage to companies running their own web server infrastructure, but if you’re new to the game and don’t know much about autoscaling, then you must work with an experienced AWS partner. Well, that’s where we come in and make you familiar with various autoscaling options available and develop & implement an appropriate auto-scaling plan optimized for your specific business needs.

If a programmer sets the right policies to balance the load of the application, it will continue to work smoothly. With the increase in demand, auto-scaling automatically increases the server instances or reduces the computing power with the decrease in demand.

Autoscaling comes with a plethora of features and benefits that ensure your applications always have the right resources when they’re needed the most.

Below is a rundown of some of its most prominent features:

Increased Fault Tolerance

Autoscaling is highly effective when it comes to effectively detecting any unhealthy instance, terminating it, and launching an instance to replace it. Moreover, it is easy to configure as it uses multiple availability zones and can also compensate for any unhealthy availability zone within a region.

Better Cost Management

Cost is one of the major advantages of auto-scaling. When the demand is less, enterprises can significantly save on their physical infrastructure costs, which include electricity, manpower, and other resources. Simply put, autoscaling allows you to dynamically add or delete resources based on demand. It helps you to only pay for the time you use the resources, thereby saving your costs.

High Availability

Another great benefit of autoscaling is its ability to protect the application from failover, thereby making it more resilient. Autoscaling plays an indispensable part when it comes to protecting your application against any kind of network failure or any other technical catastrophe. It does that detecting and replacing unhealthy instances while still providing application resiliency and availability.

Load Forecasting and Scaling On-demand

Taking into consideration the previous usage trends, most cloud providers also provide predictive autoscaling functionality as part of their service package. This particularly helps the companies and application owners to foresee the increase or decrease in the load and plan the capacity accordingly.

Dynamic Infrastructure

Last but not the least, autoscaling allows you to implement a dynamic infrastructure, which helps you build highly flexible and robust applications that could meet almost every scaling need. Introducing autoscaling to the public cloud opens up a myriad of possibilities for building a highly scalable and fully redundant environment in minutes rather than days, using a simple set of tools.

Enhanced Smart Scaling Decisions

Autoscaling enhances smart scaling decisions which enable users to create ingenious scaling plans in which resources can be changed automatically based on any shift in demand.

Improved Optimal Performance

Another significant advantage of autoscaling is that it enhances the optimal performance of applications. Wondering how it’s done? Well, this is achieved because the autoscaling service monitors applications continually. Here’s a key highlight: optimal performance takes place even when the workloads are unpredictable.

Besides the ones listed above, there are many other benefits of autoscaling in DevOps which include managing sudden spikes in traffic, rebalancing, reducing chances of any human error, and instantly deploying new services without much manual intervention.

Using Autoscaling for DevOps: Outcome

Through autoscaling, just like other enterprises, you can also achieve the following results for your organization:

  • Remove human intervention for application delivery, which escalates the productivity of the DevOps team and allows them to stay focused, day in and day out.
  • Bootstrap application layers dynamically, with a stateless approach.
  • Cut off manual communication and reduce time, physical effort, and recurrent chase-ups.
  • Introduce single-click deployment for service layers.
  • Decrease overall deployment time by 80 percent.
  • Subside infrastructure cost as autoscaling handles spikes in demand for application layers.
  • Centralize all services related to the application and also isolating them.
  • Effectively maintain the code synchronized across the nodes in the autoscale group.

From where to begin?

If you’re looking to optimize the performance of your applications while managing load balancing and reducing the overall cost involved, then autoscaling is the way to go.

Without a doubt, it can be stated that autoscaling is an effective approach to deal with workload and traffic fluctuations by allocating resources based on the current demand.

If you’re looking for a company that could help you implement autoscaling for your applications, then look no further than Debut Infotech. Our DevOps experts have years of experience in running deployments on Kubernetes, EC2, and Google Compute Engine with auto-scaling features.

Want to be a part of this auto-scaling transition? Get in touch with our DevOps experts at For more insights into our DevOps expertise, visit us now.



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Harpreet Singh

A pioneer in Mobile, Blockchain, Managed Services, Oracle, and AI/ML Development