Tech Stack And What Goes Into It

As a software company, it is important to invest in the different aspects of your tech stack.

A tech stack provides your product team with all the tools they need to build a foolproof product that meets all your customer's needs, resulting in success.

Here are the topics that we will cover in this tech stack blog:

What is a Tech Stack?

A Tech stack, also called a "solutions stack is a collection of technologies used by a brand or a company to build and run applications.

A tech stack consists of several programming languages, databases, front-end tools, back-end tools, and API-connected applications.

A technology stack is a stack of technology arranged on top of each other in order to build an application.

It is also known as technology infrastructure and is essential in creating an easy-to-maintain web application.

Most tech stacks are a combination of front-end and back-end tools.

Top Categories of Tech Stack

Today, there is an abundance of tools that can be utilized by product managers, teams and engineers to build the perfect product for their market.

A company in its beginner stage may opt for ones with low-costing and flexible options whereas another might focus on maximizing scalability to meet the enterprise goals and expectations.

#1 Programming languages and operating systems:

This is chosen depending on which is the most comfortable for the team to develop.

And it also depends on which kind of application you want to optimize.

Common languages and operating systems: iOS, Android, Linux, JavaScript, Python, Java.

#2 Servers:

This includes servers, distribution network, routing and caching services which make the application run smoothly.

You can mix them up and match them depending on your product requirements and budgets.

Common services: Google Cloud, Apache, AWS, Azure, Fastly.

#3 Data storage:

Consists of data pipelines, data warehouse, relational and non-relational databases which are the key components in order to store real-tine as well as historical data.

Another important aspect is that it stores data regarding what users do with your app, hence later you can go back into this data and improve certain parts of the applications.

Common data infrastructures: Redshift, Snowflake, MySQL, MongoDB

#4 Front-end tools:

These tools and frameworks are usually used to enhance user experience, user interface and all client-side functionalities.

Common front-end tools: Bootstrap, Backbonejs, React.

#5 Back-end tools:

Includes the basic functions required to build an application and providing structure for organizing and communicating with the database.

Common back-end tools: NET, Spring, Ruby On Rails

#6 Product and behavioral analysis:

Used to track, store and analyse user behavior throughout the customer journey.

These tools provide clear insights and keep the data clean and organized.

This helps to improve and optimize the product and website's user experience.

Common analytics tools: ReplayBird, Heap, Google Analytics

Why is Perfecting Your Tech Stack Important?

Your tech stack builds the image around your brand; it represents the kind of products your make, the efficiency of your work, and even the engineers you hire for the brand.

Some technologies are good for customization but not for other stuff.

Whereas some might allow for less customization but are good for particular segments of the audience, such as android users.

Nevertheless, there is always the possibility of acquiring a tech stack that meets your needs.

Most of the popular backend solutions allow you to automatically add extra servers according to your needs rather than having to estimate the usage and pay upfront.

For utility and business apps, opt to invest in options with low cost for switching to allow future growth.

This helps in future switching when you want to go for the advanced version.

Hence, make sure to begin building tools that have a growth scale.

Be extra mindful while selecting a product analytics tool because they tell you how your product is in terms of performance, which features are being used, and which are the problematic areas.

Hence they are quite important in helping plan the roadmap. Product analytics tools give you useful insights to improve your product.

Easy Tips to Build a Good Tech Stack

#1 Prioritize your strategy:

First come up with an efficient and working strategy.

Although it might be tempting to put in your money over whichever tools seems good, but before you do that figure out the purpose of your investment.

This is seen as the first step in creating a tech stack that perfectly meets your company's requirements.

#2 Research:

Before you go ahead and settle for the cheapest or the most popular and common tool look at the clear picture of pros and cons.

Go for the ones that bring the most value to your business.

Consider the niche of your company and look for tools which directly cater to those needs.

#3 Adaptability:

Your tech stack should be such that it must encourage and allow your brand to scale.

Weigh your business goals against the limitations of the tool you're going for.

This will give certain clarity whether or not to go for that tool.

Bonus tip:

Product team members are the ones who are going to be using the tech stack.

So it is highly important for you to consider their needs before you build one.


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Further Reading

The Right Product Metrics To Optimize Your Product
Product metrics is data on what kind interactions customers have with your product or website. It also shows how these interactions impact your digital presence and business.
5 Proven Strategies To Top Your Customer Retention Game
What keeps customers coming back for your product? Is it the features you provide?
Everything You Need To Know about Product Analytics
Product analytics can be viewed as a bunch of tools that product managers and teams use to evaluate their digital experiences and the performance of the digital platform they’ve built.

Afra

Afra

Hi, I'm Afra, a content writer for ReplayBird. I write on all things SaaS and web analytics.
Chennai

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