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High-Load Management Systems Development

High-Load Management Systems Development

Highly loaded management systems are an integral trend in the IT field. The term is almost ten years old, but there is no clear definition. High load means that the Internet project is resistant to high loads. During development, difficulties often arise due to the increased hardware and software parts load. High-load projects include:

  • social networks;
  • APIs;
  • payment systems.

High-load development systems meet many requirements and can handle multiple requests simultaneously.

High-Load System Benefits

High-loaded systems provide both end-users and businesses with certain advantages.

  • Large audience

Modern online web applications attract thousands and sometimes hundreds of thousands of users. High load systems allow them to handle an enormous number of requests per second. Big online applications like Facebook, Amazon, Flickr, MySpace, and Youtube are good examples.

  • Distributed systems

One server is insufficient when an application processes massive, constantly growing data. The most significant high-load projects, such as Google or Facebook, use hundreds of servers. Big machines are used not only to cope with millions of users. They provide fast recovery after system failures and practical project expertise. Distributed systems help highly loaded applications to recover quickly if some servers go down.

  • Positive dynamics

If the high-load system is highly customizable and provides valuable features, it builds an audience effectively. High load is a system with many users and a real audience growing with time.

  • Interactive system

The instant response of a high load system is its distinctive and essential feature. When users search for information, upload/download video, or go online shopping, they want to get results as quickly as possible. If they wait too long, they will use other sites. High-load applications allow users to enjoy a smooth experience. They get immediate responses when they are looking for something.

  • High-resource system

The system consumes many resources — CPU, RAM, disk space, etc. It is necessary to have the resources free and in sufficient quantity. It causes the paradox of the highly loaded system: the faster they grow, the tighter the need to control resources.

When an application grows in the audience, the number of requests naturally grows. And the amount of resources that need to be spent on maintaining interactivity is growing.

A high load needs to be constantly scaled. Setting it up to work is quite tricky, but a business will profit from it.

High-Load System Main Features

If you decide to create high-load applications in web technologies, it is essential to consider several principles.

  • Availability: uptime directly impacts a company’s reputation and performance.
  • Representation: the speed of a web resource affects user satisfaction with the service and ranking in search results, which affects traffic.
  • Reliability: the query should always return the same data to users to ensure that if some data is written or entered into the system, they can be counted on their immutability and safety during subsequent retrieval.
  • Scalability: you can talk about various system parameters: how much additional traffic it can handle, how easy it is to increase storage capacity, how many transactions can be processed beyond the current capacity.
  • Controllability: designing an easy-to-use high-load system is essential in the later phase development of a project, easy diagnosing and understanding of the problems essence, updating, or modification.

High-Load Functionality for Mobile App

The mobile application’s success depends on the server infrastructure. They are written with programming languages and rely on fundamental architectural decisions and best practices. They must have a high load capacity for good performance. They cannot cope with increased user demands and provide high data processing speed without high-load systems.

Possible Issues with High-Load System

The project may need scaling in some cases. Plan to create an application or related software that requires millions of users to participate, such as entering data or making payments. The application scalability and high performance will be the slightest concern.

You will probably meet several problems:

  • too slow or long page loading;
  • mistakes found by chance;
  • disconnection or long period of connection to the webserver;
  • partial/missing content on load (for example, when some images don’t show up right away);
  • decreased user activity and customers leaving the site.

High load occurs when the physical server cannot efficiently process data. Handling 10,000 connections concurrently are already considered a high load. Some high-load servers provide services to thousands or millions of users.

High-Load Management Systems Development

It is essential to consider other aspects required to deploy and maintain the system:

  • the amount of time spent by developers to build the system;
  • the effort required to start the system;
  • staff training, etc.

The main problems in the design of high-load systems arise in the following segments:

  • data volumes, distribution, and correction;
  • the use of open-source software;
  • search, data processing, and analysis;
  • information modeling.

Flexibility is a vital characteristic of any rapidly growing software technology. When building large-scale web applications, the focus should be on a flexible architecture that makes it easy to introduce changes and extensions. This will mean minimal cost, time, and effort.

Why are High-Load Management Systems Essential?

Two things need to be determined:

  • how big is the audience that the project may face;
  • understand how large and complex the project’s structured data set will work with.

Some project types potentially need high-load systems to function.

  • Content resources: there is no need to plan high-load architecture. Very few information resources outgrow the single server capabilities when the content management system is well-tuned. If this happens, adding new servers will be painless due to content caching capabilities and no need for complex solutions.
  • Online stores: the breadth of the assortment is essential. No particular decisions will be required if it cannot grow to hundreds of thousands of items. Otherwise, you need to think about efficient caching of frequently visited products and categories, as well as minimizing “heavy” database queries.
  • Social networks: estimate theoretically possible participants number and connections between them. Everything can be easily put into a relational database in a small regional or specific social network. For a larger project, a scalable solution is needed.
  • Technological projects: already at the stage of designing the project, it becomes clear which architecture suits it best and how to develop it.

High-Load Application Balancing

The architecture is the app foundation. Businesses are guided by their needs in deciding to use or not to use high-load systems. But planning is essential. It is something that the business does not see and from which it does not receive direct benefits. When it comes to high-load applications, there is a need to build a monitoring system that:

  • monitor the viability of components;
  • response speed;
  • generate and display data to monitor the system’s health under high load.

Business does not always understand what a balance monitoring system is for.

What Happens Without High-Load System

A highly loaded app can behave unpredictably and stop working at the most unexpected peak load when making the most money. Therefore, saving on the monitoring system is illusory. Without it, you can suffer significant losses.

How Load Balancing Works

It helps system administrators manage incoming requests by reducing user wait times.

Users get faster and smoother service as there is no limit to single server response. Requests are sent to the available resources.

Offshore service providers have less downtime and higher throughput. Even when they encounter a complete server failure, the end-user will not be affected, as the load balancer will immediately route their request to a running server.

System administrators will experience fewer faulty or under-loaded components. Load balancing consists of multiple devices that perform additional work as needed.

Conclusion

Application Solutions ensures that you can build scalable and high-performance applications in the following ways.

An engineer optimizing a high-load system design should:

  • identify possible obstacles;
  • look at the scalability of the solution;
  • look at solution redundancy;
  • give full attention to issues related to infrastructure and data metrics.

What are redundancy, scalability, and monitoring?

  • Redundancy is one of the main elements of system cloning to improve reliability. If a load spike is expected, a company may redistribute the solution to more servers, even though one server still drives all the traffic load.
  • Scalability can be either vertical or horizontal. A vertical approach makes more resources (hardware/software) available. Vertical scaling has some limitations. Horizontal allows you to establish more connections from one data center to another. It is used to form redundancy and efficiently build a scalable system. The availability of resources can hinder this.
  • Monitoring includes compilation and analysis of various indicators of software and physical instances. This helps experts know when a metric rises above critical levels. Reporting on infrastructure issues is also a monitoring feature.

We are very dependent on web services, and they need to be available 24/7. It’s estimated that a half-an-hour downtime on Facebook could cost more than $500000.

In the case of high-traffic web applications, load balancing is critical to maintaining the integrity and availability of the service. From web servers to DNS queries, load balancing means the difference between costly downtime and improved end-user experience.

Ivan Kolesnikov

About the author:

Ivan Kolesnikov

Experienced professional in programming.

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