Web Development
Websites
Web applications
In this era of ever evolving technologies, setting up infrastructure for your business technological needs can be hard. Especially for new or small businesses it can be both challenging and expensive. Because of this, cloud computing has garnered tremendous popularity among small and medium scale enterprises.
As an entrepreneur who wants to effectively harness cloud computing, it would serve you better if you understand why cloud computing is a good idea, what problems it can solve, and why it makes things easier.
Therefore, in this blogpost we will categorize common sets of problems and their solutions provided by cloud services.
Running any kind of software needs some kind of computing. Getting access to computers with appropriate power to run your software is the first problem for any business.
The business could either create a data center of their own and purchase their own computers or they could lease them from an external cloud computing company.
Leasing compute power from cloud computing companies like AWS is easier for new businesses. It relieves them from making large investments upfront on setting up infrastructure. They can instead focus more on their core business model.
Thus, apart from saving money, utilizing cloud computing effectively can also save time, resources, and headaches by solving some common tech problems faced by most businesses. We will cover important ones below.
Building and maintaining any software will need some place to run it. Cloud computing provides such space for you through various services.
This is the most basic way of providing computing power, where an infrastructure, like a server, is leased by the cloud computing company to its customers. It is called a Virtual Machine as access to it is virtual only and not physical.
Businesses can lease virtual servers with different specifications like memory and processor speed. They can access these servers online and can control it virtually however they want, like install new software, develop applications using it or put applications into production.
This type of computing service is suitable for use cases where businesses need full control of servers but don’t want the hassle of physically maintaining them and don’t want long term leases or permanent investment in servers. Hosting of Web application backend, deployment of heavy tasks, development of applications are good use cases for on demand virtual machines.
In many cases full control as provided by a virtual server becomes a hassle. We just need access to a runtime environment in which a certain code should run. In these situations cloud companies provide services which they call serverless.
Using serverless services, customers don’t even need to manage a full virtual server. All the customer needs to do is select the necessary serverless compute service, select the runtime type and write code that runs on the service. Everything else is managed by the service.
Serverless compute makes sense in situations where business needs to run small functions with low runtime in an intermittent manner without the inconvenience of setting up virtual servers. Running small APIs is a good example use case.
Compute takes care of running a bunch of code live on the server. But what about situations where data needs to be stored for later use. This is where persistent storage services come into picture.
Data storage requires storing data in devices like Hard Disks and SSDs. Managing and interfacing to these hardware devices in an efficient and redundant way is extremely hard. Thus, just like virtual servers, cloud services fulfills storage requirements virtually.
Object storage stores data in the form of objects. An object can be any particular type of file like jpg image, text file, and zip file. Each object has a unique key associated with it and can have metadata attached to it.
Object Storage services offer easier and efficient abstraction to storage, retrieval, and deletion of objects. The maintenance like backup, redundancy, and efficient hardware access are handled by storage service.
Object storage is suitable to store unstructured data like images, videos, individual files and archived files. Its capability to store huge amounts of data makes it suitable for big data scenarios.
Unlike Object storage which is primarily used for unstructured data, File storage is used to store Hierarchical and structured data. File storage arranges data in hierarchical order like files inside folders format which we are familiar with.
Just like we use file storage in our personal computers, we can use file storage and volumes provided by a cloud service, the only difference being the storage devices are stored remotely rather than locally.
Storing data in Files is suitable for data which is part of a program like application source files, executable files, and Deep learning training images. Unlike Object storage, File storage enables manipulation of individual files which is not possible directly in object storage (Overwriting of objects with updated objects is needed).
While Object storage and File storage are great at handling objects and files, many times we need to handle data at a more granular level like to manipulate numbers, characters, sentences. This type of requirement is fulfilled using databases.
Databases can be understood as applications called Database management systems that are abstractions over file storage systems and Object storage systems. This abstraction helps to provide semantic meaning to data.
Database management systems (DBMS) can be installed in a virtual machine and used directly. But this requires additional maintenance which could become cumbersome. Cloud companies provide their own managed counterparts which are generally easier to use and manage.
A common pattern that businesses often need to set up is taking actions automatically as a certain event occurs. Examples include sending automated emails on purchase, sending marketing emails periodically, sending sms notification on successful payment, and microservices messaging each other on relevant events.
When dealing with lots of events and actions that can happen, building these processes on our own from scratch can be very challenging and time consuming. Therefore, cloud companies provide services to develop these event driven actions easier.
Data caching implemented correctly can drastically boost performance and lower the burden on core backend service. Load is reduced because responding data requests from cache is much faster and cheaper compared to responding data from a backend server.
Developing caching mechanisms from scratch is quite complex because of the complexity of caching algorithms. Therefore it makes sense to use a cloud company managed caching service instead of creating our own.
With the increase in Internet speed, applications that handle streaming data have become very popular. Streaming of real time audio and video, location and edge devices status are some popular examples.
Using cloud services for streaming data makes building such applications much easier.
Deployment in production is not just setting up a server which listens to requests. The deployment has to ensure things like auto scalability, high availability, high performance, maintainability, and easier extensibility.
Ensuring that all these requirements are fulfilled is a cumbersome maintenance task. Cloud services help alleviate this task.
Applications that are deployed in a virtual server are mostly deployed in the form of a docker container instead of directly running in a virtual server. Deployment as a docker container enables us to leverage container orchestration frameworks like Kubernetes and Docker Swarm. These frameworks help to handle features like scalability and availability.
Using these container orchestration frameworks ourselves is possible but requires constant need of experts to handle them. Cloud managed container orchestration services can reduce lots of complexity, relieving the need to hire lots of experts in the DevOps field.
Container orchestration is specifically made to manage containers. But sometimes we need deployment of specific applications and don’t want to bother with container orchestration. In these situations cloud companies often provide services suited for specific deployment needs.
Setting up a Virtual Private Network, securing using Firewalls, Management of DNS service, and improving internal network performance. These are some of the basic things that you may need to do if you want to build and manage your own physical servers.
These problems could be handled far more easily if cloud computing resources are used.
In this blogpost we saw different types of tech problems that businesses generally face and how these problems are solved by cloud computing companies like AWS. We also got an overview of why cloud computing can be a better alternative to building our own solutions, and what cloud computing services to refer to.
Copyright © 2026 Zystomate Technologies Private Limited - All rights reserved
