Automatically Scale your IT Up and Down, Based on Business Demand!
The cloud has been a boon for many companies struggling to maximize their IT infrastructure while keeping costs in control. With the cloud, enterprises of any size can store information on remote data centers instead of on-premises – resulting in data agility and flexibility – enabling them to scale while keeping the costs low.
But storage is not all that the cloud is suitable for. The cloud offers far more value than storage – which includes automated data processing, real-time updates, back-ups, enable DevOps and many more – necessary for any organization to digitise. The best part is that the cloud allows businesses to scale their IT infrastructure in real-time, up or down, according to demand, enabling them to meet current business requirements with agility. The result is better and automated resource management in terms of servers, storage capacity, and memory, leading to seamless application performance and enhanced customer experience.
Scaling in Cloud Computing
Scalability is the prime benefit of the cloud environment, leading to speed improvements, flexibility, and other measurable outcomes for businesses. Instead of relying on physical machines, cloud computing is based on virtual machines that can be scaled instantly, at any point in time.
For example, you can add any amount of resources to virtual machines by hosting them on multiple servers or moving them to a server with additional resources (and vice versa). As a result, cloud computing not only enables enterprises to design highly-customizable infrastructures but also increase or decrease the system power in real-time while ensuring adherence to SLAs even in the case of system failure.
Cloud computing is affordable for businesses of all sizes. In fact, with cloud computing, small businesses can now run their applications on the same systems as large enterprises by leveraging the public cloud, which is also cheaper than building an IT infrastructure from scratch.
Cloud Scaling Strategies
Whether you wish to downsize or expand, the cloud adapts easily by letting you scale on-demand, enabling your business to deal with seasonal changes, market fluctuations, and evolving customer demands. But there are different ways to accomplish scaling in cloud computing – vertical and horizontal scaling; vertical being the simpler of the two.
Vertical scalability (scaling up) refers to enlarging or diminishing your server to expand the capacity of your existing infrastructure by adding additional resources, limited to the size of your server.
The important point is that vertical scaling lets you resize your server with no change in code. Another exciting part is that vertical scaling in the cloud can be achieved with just a push of a button – which can be done manually. However, manual scaling requires a team member to monitor performance and demand continually, leading to the possibility of human error. To overcome this challenge, some enterprises may opt for scheduled scaling based on their usual demand curve. However, fluctuations in the demand pattern are not catered for in this situation.
The third option, autoscaling, is what truly helps businesses unleash the real power of cloud computing by enabling servers, memory, and storage resources to scale automatically based on pre-defined rules. So, whether you have hundreds of people visiting your e-commerce site for the Black Friday sale or experiencing little traffic, say, owing to the current COVID-19 lockdown, autoscaling will ensure your application has enough provisioned resources to prevent any performance issues and outages while making sure you don’t pay for more resources than you are using.
How to Maximize Cloud Scalability?
The speed and accuracy of resource allocation in the cloud can be a significant competitive advantage for any business. However, managing scaling correctly is pertinent to ensuring adequate resource availability without over-provisioning and wasting your cloud budget. Not surprisingly, auto-scaling, as we touched upon in the previous section, is relied upon by several enterprises to maximize cloud scalability. In addition to managing resources optimally, autoscaling solutions offered by Amazon Web Services also detect and replace unhealthy instances, protecting against network and application failure.
At Matilda, we offer a seamless cloud transformation and life-cycle management platform to our customers to help them get the maximum benefit from cloud computing for their business. Our Matilda Optimize module supports in balancing your application workloads and recommends for dynamic scaling of resources in real-time on all hybrid clouds. The module gives service and resource-level cost breakdown, view and analysis with customizable dashboards for your stakeholders.
Whether it is intelligent scaling or optimizing costs, our optimize module continuously gathers information on resource usage to make data-driven decisions that drive business outcomes. For more information, you can seek our team’s help to understand the Matilda Cloud Ecosystem.