The Importance of Scalability In Software Design

Originally published December 7, 2017, updated Feb. 21, 2019.

Scalability is an essential component of enterprise software. Prioritizing it from the start leads to lower maintenance costs, better user experience, and higher agility.

Software design is a balancing act where developers work to create the best product within a client’s time and budget constraints.

There’s no avoiding the necessity of compromise. Tradeoffs must be made in order to meet a project’s requirements, whether those are technical or financial.

Too often, though, companies prioritize cost over scalability or even dismiss its importance entirely. This is unfortunately common in big data initiatives, where scalability issues can sink a promising project.

Scalability isn’t a “bonus feature.” It’s the quality that determines the lifetime value of software, and building with scalability in mind saves both time and money in the long run.

What is Scalability?

A system is considered scalable when it doesn’t need to be redesigned to maintain effective performance during or after a steep increase in workload.

Workload” could refer to simultaneous users, storage capacity, the maximum number of transactions handled, or anything else that pushes the system past its original capacity.

Scalability isn’t a basic requirement of a program in that unscalable software can run well with limited capacity.

However, it does reflect the ability of the software to grow or change with the user’s demands.

Any software that may expand past its base functions- especially if the business model depends on its growth- should be configured for scalability.

The Benefits of Scalable Software

Scalability has both long- and short-term benefits.

At the outset it lets a company purchase only what they immediately need, not every feature that might be useful down the road.

For example, a company launching a data intelligence pilot program could choose a massive enterprise analytics bundle, or they could start with a solution that just handles the functions they need at first.

A popular choice is a dashboard that pulls in results from their primary data sources and existing enterprise software.

When they grow large enough to use more analytics programs, those data streams can be added into the dashboard instead of forcing the company to juggle multiple visualization programs or build an entirely new system.

Building this way prepares for future growth while creating a leaner product that suits current needs without extra complexity.

It requires a lower up-front financial outlay, too, which is a major consideration for executives worried about the size of big data investments.

Scalability also leaves room for changing priorities. That off-the-shelf analytics bundle could lose relevance as a company shifts to meet the demands of an evolving marketplace.

Choosing scalable solutions protects the initial technology investment. Businesses can continue using the same software for longer because it was designed to be grow along with them.

When it comes time to change, building onto solid, scalable software is considerably less expensive than trying to adapt less agile programs.

There’s also a shorter “ramp up” time to bring new features online than to implement entirely new software.

As a side benefit, staff won’t need much training or persuasion to adopt that upgraded system. They’re already familiar with the interface, so working with the additional features is viewed as a bonus rather than a chore.

The Fallout from Scaling Failures

So, what happens when software isn’t scalable?

In the beginning, the weakness is hard to spot. The workload is light in the early stages of an app. With relatively few simultaneous users there isn’t much demand on the architecture.

When the workload increases, problems arise. The more data stored or simultaneous users the software collects, the more strain is put on the software’s architecture.

Limitations that didn’t seem important in the beginning become a barrier to productivity. Patches may alleviate some of the early issues, but patches add complexity.

Complexity makes diagnosing problems on an on-going basis more tedious (translation: pricier and less effective).

As the workload rises past the software’s ability to scale, performance drops.

Users experience slow loading times because the server takes too long to respond to requests. Other potential issues include decreased availability or even lost data.

All of this discourages future use. Employees will find workarounds for unreliable software in order to get their own jobs done.

That puts the company at risk for a data breach or worse.

[Read our article on the dangers of “shadow IT” for more on this subject.]

When the software is customer-facing, unreliability increases the potential for churn.

Google found that 61% of users won’t give an app a second chance if they had a bad first experience. 40% go straight to a competitor’s product instead.

Scalability issues aren’t just a rookie mistake made by small companies, either. Even Disney ran into trouble with the original launch of their Applause app, which was meant to give viewers an extra way to interact with favorite Disney shows. The app couldn’t handle the flood of simultaneous streaming video users.

Frustrated fans left negative reviews until the app had a single star in the Google Play store. Disney officials had to take the app down to repair the damage, and the negative publicity was so intense it never went back online.

Setting Priorities

Some businesses fail to prioritize scalability because they don’t see the immediate utility of it.

Scalability gets pushed aside in favor of speed, shorter development cycles, or lower cost.

There are actually some cases when scalability isn’t a leading priority.

Software that’s meant to be a prototype or low-volume proof of concept won’t become large enough to cause problems.

Likewise, internal software for small companies with a low fixed limit of potential users can set other priorities.

Finally, when ACID compliance is absolutely mandatory scalability takes a backseat to reliability.

As a general rule, though, scalability is easier and less resource-intensive when considered from the beginning.

For one thing, database choice has a huge impact on scalability. Migrating to a new database is expensive and time-consuming. It isn’t something that can be easily done later on.

Principles of Scalability

Several factors affect the overall scalability of software:


Usage measures the number of simultaneous users or connections possible. There shouldn’t be any artificial limits on usage.

Increasing it should be as simple as making more resources available to the software.

Maximum stored data

This is especially relevant for sites featuring a lot of unstructured data: user uploaded content, site reports, and some types of marketing data.

Data science projects fall under this category as well. The amount of data stored by these kinds of content could rise dramatically and unexpectedly.

Whether the maximum stored data can scale quickly depends heavily on database style (SQL vs NoSQL servers), but it’s also critical to pay attention to proper indexing.


Inexperienced developers tend to overlook code considerations when planning for scalability.

Code should be written so that it can be added to or modified without refactoring the old code. Good developers aim to avoid duplication of effort, reducing the overall size and complexity of the codebase.

Applications do grow in size as they evolve, but keeping code clean will minimize the effect and prevent the formation of “spaghetti code”.

Scaling Out Vs Scaling Up

Scaling up (or “vertical scaling”) involves growing by using more advanced or stronger hardware. Disk space or a faster central processing unit (CPU) is used to handle the increased workload.

Scaling up offers better performance than scaling out. Everything is contained in one place, allowing for faster returns and less vulnerability.

The problem with scaling up is that there’s only so much room to grow. Hardware gets more expensive as it becomes more advanced. At a certain point, businesses run up against the law of diminishing returns on buying advanced systems.

It also takes time to implement the new hardware.

Because of these limitations, vertical scaling isn’t the best solutions for software that needs to grow quickly and with little notice.

Scaling out (or “horizontal scaling”) is much more widely used for enterprise purposes.

When scaling out, software grows by using more- not more advanced- hardware and spreading the increased workload across the new infrastructure.

Costs are lower because the extra servers or CPUs can be the same type currently used (or any compatible kind).

Scaling happens faster, too, since nothing has to be imported or rebuilt.

There is a slight tradeoff in speed, however. Horizontally-scaled software is limited by the speed with which the servers can communicate.

The difference isn’t large enough to be noticed by most users, though, and there are tools to help developers minimize the effect. As a result, scaling out is considered a better solution when building scalable applications.

Guidelines for Building Highly Scalable Systems

It’s both cheaper and easier to consider scalability during the planning phase.  Here are some best practices for incorporating scalability from the start:

Use load balancing software

Load balancing software is critical for systems with distributed infrastructure (like horizontally scaled applications).

This software uses an algorithm to spread the workload across servers to ensure no single server gets overwhelmed. It’s an absolute necessity to avoid performance issues.

Location matters

Scalable software does as much near the client (in the app layer) as possible. Reducing the number of times apps must navigate the heavier traffic near core resources leads to faster speeds and less stress on the servers.

Edge computing is something else to consider. With more applications requiring resource-intensive applications, keeping as much work as possible on the device lowers the impact of low signal areas and network delays.

Cache where possible

Be conscious of security concerns, but caching is a good way to keep from having to perform the same task over and over.

Lead with API

Users connect through a variety of clients, so leading with API that don’t assume a specific client type can serve all of them.

Asynchronous processing

It refers to processes that are separated into discrete steps which don’t need to wait for the previous one to be completed before processing.

For example, a user can be shown a “sent!” notification while the email is still technically processing.

Asynchronous processing removes some of the bottlenecks that affect performance for large-scale software.

Limit concurrent access to limited resources

Don’t duplicate efforts. If more than one request asks for the same calculation from the same resource, let the first finish and just use that result. This adds speed while reducing strain on the system.

Use a scalable database

NoSQL databases tend to be more scalable than SQL. SQL does scale read operations well enough, but when it comes to write operations it conflicts with restrictions meant to enforce ACID principles.

Scaling NoSQL requires less stringent adherence to those principles, so if ACID compliance isn’t a concern a NoSQL database may be the right choice.

Consider PaaS solutions

Platform-as-a-service relieves a lot of scalability issues since the PaaS provider manages scaling. Scaling can be as easy as upgrading the subscription level.

Look into FaaS

Function-as-a-service evolved from PaaS and is very closely related. Serverless computing provides a way to only use the functions that are needed at any given moment, reducing unnecessary demands on the back-end infrastructure.

FaaS is still maturing, but it could be worth looking into as a way to cut operational costs while improving scalability.

Don’t forget about maintenance

Set software up for automated testing and maintenance so that when it grows, the work of maintaining it doesn’t get out of hand.

Build with An Eye to the Future

Prioritizing scalability prepares your business for success. Consider it early, and you’ll reap the benefits in agility when it’s most needed.

Are you looking for software that can grow with your company? Set up a free appointment with one of our developers to talk about where you need to go and how we can get you there!

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Kingdom Strollers: How Technology Helped Make Strollers Big Business In Orlando


When Kingdom Strollers started in 2010, it was a small family business operating out of a condo. It didn’t stay small for long. The steady flow of tourists to Central Florida created an opportunity to provide an often-overlooked service that makes vacations much more enjoyable for families: quality strollers and cribs delivered on demand to hotels and vacation homes.

By the third year owner Matthew Wilhite was overwhelmed with the tiny details of daily operations. It felt like he couldn’t go 30 seconds without some urgent situation blowing up his phone.

Things were made both better and worse when he secured one of three coveted spots as a Disney stroller provider: better because his business was growing fast and worse because it was now taking up the majority of his time.

At this point Wilhite made an unusual move: he made digital transformation a priority and began pushing high-level technology projects at a point when many small businesses are just becoming profitable.

Growing Pains

Updating businesses processes to cope with growing business is something most companies struggle with, and Kingdom Strollers was no different. As demand grew they ran into challenges operating at scale.

They took orders by phone, requiring additional calls every time a customer needed to make a change to their reservation. Inventory management was complicated since had to be updated manually after every call and equipment delivery. That made it hard for staff to know what was available, let alone prospective customers.

Delivery presented more challenges. Drivers planned their own routes and had to update orders manually as they returned to base. There was no easy way to change delivery times. Plus, customers couldn’t track their delivery status in real time.

On top of everything, Kingdom Strollers was spending too much time compiling and processing reports. Wilhite’s business was beginning to boom, and he needed a fast, accurate reporting mechanism to support that growth.

kingdom-strollers-appHow Kingdom Strollers Took Advantage of Technology

By partnering with Concepta, Kingdom Strollers found solutions to help them scale. They had a new website built complete with a customer service portal.

Now customers can access inventory lists, add additional services or products to their orders, change delivery times, and more at their convenience. With the inventory system linked in, the availability problem was solved as well.

A custom driver app provides more flexibility to both drivers and customers. Optimized delivery routes made drop offs and pickups more efficient and responsive to customer changes.

Drivers can scan in products for up to-the-minute order status, and they have a dynamic view of each order and its special requirements.

Everything is tied together with a customized reporting dashboard. Now Wilhite and his team can pull detailed reports across the business with a few clicks.

Results That Speak for Themselves

With Concepta’s digital solutions in place Kingdom Strollers has been able to continue providing the kind of customer experience that brings visitors back for more. Since putting the system into action they’ve seen an average of 40% revenue increase year over year.

The rise in demand pushed them to move from their rental warehouse to a privately-owned facility with more than double the space. Besides the lucrative Disney contract, Kingdom Strollers is also recommended by popular guide books like Beyond the Attractions: A Guide to Walt Disney World with Preschoolers.

Better yet, Wilhite can now make it through an entire dinner in peace.

You’ve seen what we did for them- now find out what we can do for you! Schedule your free consultation today!

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Everything Executives Need to Know About NodeJS


NodeJS is a rising star in the enterprise software world. It’s being used by everyone from fledgeling chains to entertainment giants. For those tasked with leading software projects, though, popularity is the least important aspect of technology.

They’re more concerned with tangible benefits – what NodeJS is, why developers love it, and how it can boost their digital initiatives.

Read on for answers to the most common executive questions about NodeJS.

What is NodeJS?

NodeJS is an open source platform for developing server-side and networking applications. Written in JavaScript, it’s quick to build with and scales extremely well.

What do people actually use NodeJS for?

NodeJS may be best known as a tool for real-time applications with a large number of concurrent users, but it also sees use for:

  • Backends and servers
  • Frontends
  • Developing API
  • Microservices
  • Scripting and automation

Why do developers like NodeJS?

Being easy to work with makes a tool popular with developers, and NodeJS is both lightweight and efficient. The Javascript is written in a clear, easy to read format.

Because developers can use the same language throughout the project developers find working with teammates assigned to other areas of the stack less disruptive.

The Node Packet Manager is another major draw. With half a million NPM packages available for use, developers can find something to suit all but the most specific needs.

There’s also the fact that technical tasks that are usually difficult – for example, communicating between workers or  sharing cache state – are incredibly simple with NodeJS.

Finally, many developers just like using NodeJS. Creating performant apps can be fast, easy, and fun. There’s an active and engaged community full of peers to share ideas or coordinate with on a tough problem.

When a tool makes their job more enjoyable, developers are going to want to use it whenever possible.

How does NodeJS benefit enterprise?

When it comes to business value, NodeJS brings a lot to the table.

  • Faster development: NPM packages help reduce the amount of code that must be written from scratch. On top of that, using the same language end to end makes for a smoother, more productive development process. It’s faster than Ruby, Python, or Perl. Testing goes faster, as well.
  • Scalability: NodeJS uses non-blocking I/O. Processes aren’t held up by others that are taking too long. Instead, the system handles the next request in line while waiting for the return of the previous request. This lets apps handle thousands of concurrent connections.
  • High quality user experience: Applications built with NodeJS are fast and responsive, handling real-time updating and streaming data smoothly. They provide the kind of user experience that makes a positive impression on customers.
  • Less expensive development: Open source tools are a great way to lower development costs. The productivity offered by NodeJS pushes savings even farther; developers spend less time building the same quality app as they would with other tools. NodeJS can be hosted nearly anywhere, too.

How are companies using NodeJS now?

  • Netflix: The largest and best-known streaming media provider in the world reduced their startup time by 70% by integrating NodeJS.
  • Walmart: As their online store gained popularity, Walmart experienced problems handling the flood of requests. NodeJS’ non-blocking IO improved their ability to manage concurrent requests for a better user experience.
  • Paypal: Originally there were separate teams for browser-specific code and app layer-specific code, which caused a lot of miscommunications. Switching their backend to NodeJS meant everyone was now speaking the same language. More cohesive development allows the Paypal team to respond faster to issues.

Are there times when NodeJS should not be used?

Although it’s a powerful tool, there are times when NodeJS doesn’t fit. Using it for CPU-intensive operations basically cancels out all its benefits.

It doesn’t support multi-threaded programming, meaning it’s not the best choice for games and similar applications.

The best use cases for NodeJS are when there will be a high volume of concurrent requests and when real-time updating is key. Other benefits – low costs, smoother development – can also be found with other tools, but performance at scale is a serious advantage.

Is NodeJS the right tool for your next project? Talk through your options with one of Concepta’s development team to find out!

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Why You Should be Leveraging API for Your Software


API aren’t just a catchy tech trend. They are valuable components of modern digital strategy that can boost the scalability, performance, and flexibility of software.

There’s a lot of debate these days over the best types of API to use, but many times the business case for this technology gets glossed over. That’s unfortunate, since there’s a strong argument to be made for why every company needs (or will eventually need) to leverage API while undergoing digital transformation.

API Definition

An application programming interface, or API, acts as an intermediary between software components. It allows for controlled access to internal data and operations by specifying what software accessing the target component does and doesn’t have permission to do.

What API Bring To The Table

API have more to offer than easy social media logins and mobile payment options. The technology’s applications are nearly endless, so when making a business case for API it’s more impactful to highlight the potential enterprise benefits first.

A solid API strategy can:

Boost Customer Experience and Retention

Customers want a rich, uninterrupted digital experience. 83% of them agree that a seamless experience across devices and platforms is important to them. Customers expect to be able use their favorite software in the most convenient manner, meaning in tandem with complimentary tools.

This is where API come in. By exposing select services to third-party use, API make the platform as a whole more functional and interactive. That translates into a richer customer experience. With their need for personalization and interactivity met, customers aren’t motivated to seek other services. After all, why should they go to the effort when they can handle all their product-specific needs in one place?

A great example of this effect in action is the Goodreads – Amazon partnership. Goodreads uses Amazon’s API to provide highly detailed product data. The platform’s users can make purchases or add items directly to Amazon wish lists from Goodreads. The end result is happier, more loyal customers with favorable impressions of both platforms.

There’s also a “fear of loss” effect in play that encourages customer retention. When an API is used in several different ways it becomes an integral part of the customer’s routine. Leaving the original platform disrupts their daily habits, which is a hassle most customers don’t want to handle.

That provides a cushion of tolerance that companies can lean on while fixing issues that might otherwise send churn skyrocketing.

Enrich Interactions With Partners

There are structural barriers preventing perfect cooperation between a company and its business partners. Partners must request data when they need it, causing delays when unexpected requirements come up or misinformation is accidentally passed.

An API takes out the middleman. Partners have controlled access to all the information and processes needed for smooth operations without being privy to more sensitive information.

The risk of expensive misunderstandings is reduced since everyone is working from the same data. It’s possible to allow partners some access for updating information and being active in joint processes, too, so data is always current.

Power Mobile Strategy

The future of digital enterprise lies heavily in mobile. 80% of adults own a smartphone, and they spend nearly four hours a day on mobile devices. That time is valuable from a business standpoint, too: mobile devices have higher conversion rates than desktops.

However, no company can develop their own extensions for every possible mobile device. There’s too much territory to cover. Even when companies choose hybrid apps to speed up smartphone coverage, the growing IoT trend means there are potential applications for smartwatches, fitness wearables, and more. It isn’t cost-effective to try and service them all.

API allow software to be adapted for use in a wider variety of devices. Market demand can determine where connectivity is wanted without additional investment by the parent company.

For example, a smart home platform might use a cleaning company’s API to allow customers to set up and oversee services while on vacation.

The company doesn’t need to develop the software themselves; the smart home company does that in order to provide their own customers with better service.

Modernize Legacy Systems

Outdated legacy systems present a challenge to digital transformation efforts. Often formed as rigid monoliths, they’re complex, hard to scale, and don’t connect easily with new tools and processes.

Internal API can be used to expose portions of a monolith architecture. They let existing functions interact with more modern tools or pull them out into more independent microservices.

Using API in this way has two main benefits. It increases the system’s performance and scalability by reducing the strain on its overall structure. Plus, internal systems that weren’t previously connected can talk to each other using the API.

This streamlines internal operations and breaks down data silos between departments.

Making the Call

The applications of API are so diverse and produce such marked results that it’s hard to find reasons not to develop them. In fact, as a company grows so does the social pressure to provide interconnectivity and data portability through public API. Those who don’t risk being passed by in favor of more tech-ready competitors.

How can API improve your business? Set up a free appointment with one of Concepta’s experienced developers to learn what this technology can do for you.

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Web Application Performance: Building Your Application For Growth


When talking about building web applications for growth, the conversation often devolves into a technical debate over whether to scale up or out or which specific technologies will suit an application.

These debates forget one of the most important rules of enterprise technology: business goals should drive the tech, not the other way around. Leaders should start by clarifying what is needed from the app as it grows before nailing down the tools.

There are three key concepts which all scaling technology should support in order for an app to be considered “built for growth”.

User-based Performance

Application performance can be measured many ways, but for public-facing apps the focus should usually be on user-centric metrics. “User-centric” refers to traits which directly affect the user’s experience. For example:

  • Load times
  • Reaction times to button clicks
  • Fast and reliable return of updated information

Applications are highly sensitive to user perception. More than half of users will abandon a web app entirely if it seems too slow. It damages their overall perception of the sponsoring business’ modernity, as well.

On the flip side, better performance leads to higher revenue and better ROI on advertising campaigns. Apps that load in 5 seconds or less see 25% more ad visibility and 70% longer session duration on average. They’re also enjoy higher user retention rates than slower applications.

When deciding between two technologies, choose the one that reduces the user-perceived delay the most. Determine how much of the delay is caused by each step of the data retrieval and presentation process, then prioritize tools that target the problem areas.

Scaling Cost

Web apps shouldn’t have a bigger cost to grow than to build in the first place, but that’s what can happen when growth isn’t considered from the start. Companies sometimes make design choices that are less investment during development but require complex, expensive scaling techniques.

An app can’t be called fully scalable unless it has a fixed marginal cost to grow. Adding users or capacity should be predictably priced and simple to implement. “Predictable” is a big part of being scalable. There’s no way to tell exactly how quickly an application will grow, but it is possible to create a scaling plan that shows leaders how much they can expect that growth to cost at each stage.

Surprises when scaling generally mean the original plan wasn’t thorough enough. Be sure to take into account vendor stability and projected rate increases. Also, don’t leave out any higher costs for maintenance at scale.

Security At Scale

Application security is one of the top concerns for CIOs in 2018. 45% of companies plan to spend more this year than they did in 2017. Despite the interest, 90% of web applications have at least one avoidable vulnerability. Common weak areas include encryption, authentication, and access control.

Hard-coded passwords are another serious risk. A full tenth of applications still use them for administrator-level privileges despite general discouragement by the security industry.

The risks from these vulnerabilities increase exponentially as an app grows into an appealing target for malicious actors. When planning for scalability, focus on growing securely as well as quickly. Don’t take risks with customer data that could lead to breaches, legal issues, and loss of reputation.

On a hopeful note, the problem does seem to be shrinking. In 2016 the average number of vulnerabilities per application was four, and that fell to three per app in 2017. That average may fall even more if the emphasis on security continues to drive safer design practices.

The True Measure of Scalability

Scalability isn’t only about whether applications do or don’t crash under unpredictable workloads. Availability is part of the puzzle, but not all. The true measure of scalability is whether a system is flexible enough to efficiently meet a company’s needs within an acceptable range of quality regardless of workload. Make that the focus of technology decisions and an highly scalable app will always be the result.

Concepta has more than ten years experience designing web applications that maintain high performance and security at scale. To learn more about the technologies we use and how they can benefit your business, set up a free consultation with one of our skilled developers.

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The Dos and Don’ts of Scalable Architecture


Scalability is having its moment in the sun. After being dismissed as something to think about down the road, leaders have begun to realize how important it is to plan for scalability from the start. This strategy puts companies in a solid position to take advantage of unexpected growth without taking a hit to service quality.

As scalability grows in importance, some common themes are beginning to emerge. Companies are realizing their legacy architecture is too rigid to handle a sudden increase in workload, and adjusting for growth is more expensive than they’d planned.

Read on to find out where they’re going wrong and how to learn from their mistakes.

Principles of Scalability

Simply put, scalability is the ability of a system to handle sudden changes in workload without negatively impacting performance. It’s usually broken down into three areas.

  • Availability: The system should be available for use as much as possible (ideally, always). Uptime percentage has the most immediate effect on customer experience. After all, it doesn’t matter how useful an application is if no one can access it.
  • Performance: The system must maintain a high level of performance even under heavy loads. Speed is critical to providing a good user experience, and customer experience is fast becoming the most important factor in preventing churn.
  • Reliability: The system must accurately store, retrieve, and edit data under stress. It should return the most current data on request without defaulting to old or inaccurate data or failing to record new data. Unlike availability and performance, reliability builds good customer experiences in the long run rather than just in the moment.

How to Design Scalable Architecture

Rather than focusing on specific brands or tools, keep a set of design principles in mind.

Don’t use vertical scaling

Vertical scaling is scaling by adding more powerful resources (ie, more RAM). It’s secure and fast under light loads, but it does not scale well at all. More powerful equipment is increasingly more expensive, and there’s only so high it can scale. Plus, vertical scaling tends to lock companies into technology without an easy path to modernization. It’s unavoidable sometimes- especially when dealing with many atomic transactions or high-grade security concerns- but whenever possible don’t scale up.

Do favor horizontal scaling

Horizontal scaling involves adding more nodes to a distributed network (ie, adding another server) rather than more powerful nodes. It’s the fastest, most cost-effective way to scale since increasing its capacity is as simple as increasing the size of the network.

Don’t default to physical servers

Physical servers are only really valuable for multinational companies with high security requirements and a lot of usable capital. For the vast majority of companies, they’re a waste of time and money. Servers are expensive to build, maintain, and secure. New projects have to be put on hold while waiting for the storage to be finished. Plus, there’s always the risk of hardware becoming outdated.

Do take advantage of cloud storage

Cloud storage puts data in logical pools spread out over a number of servers. Vendors then sell access to that storage through subscriptions. This model takes the burden of security and hardware maintenance off companies and allows them to purchase only what is needed at launch while remaining prepared for rapid scaling. Because the cost is spread out like a utility instead of an upfront investment, the project can reach ROI faster and begin to pay for itself much sooner.

Don’t create unnecessary bottlenecks

Bottlenecks form when multiple processes require the same resources to proceed. Plan the application architecture to maximize the availability of resources that will be in high demand. What does that look like?

  • Caching stores data closer to end users. It’s an excellent way to facilitate the return of data that’s needed often but changes rarely.
  • Non-blocking IO calls serve more requests with limited resources by letting processes continue before a slower one has finished.
  • Load balancing software intelligently spreads the workload across the network to reduce pressure on any one single node.
  • Redundancy safeguards against lost data as well as providing more access to high-demand resources.

Do consider a microservice architecture

Microservice architecture breaks large software into smaller pieces that can operate independently of each other. When one node is in high demand others can work without adding to its load. Fault isolation is a major advantage of using microservices. If something does go wrong, the majority of the system can usually remain up while that part is repaired.

A Final Thought

Choosing components which lend themselves to a scalable architecture saves both time and money. The slightly higher cost of emphasizing scalability during development is offset by greater agility and lower operational costs.

Concepta specializes in the kind of scalable architecture businesses need to meet the demands of digital transformation. Set up a complimentary appointment to discuss how to position your next application for success!

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