• Skip to main content
  • Skip to secondary menu
  • Skip to primary sidebar
  • Skip to footer
  • Articles
  • News
  • Events
  • Advertize
  • Jobs
  • Courses
  • Contact
  • (0)
  • LoginRegister
    • Facebook
    • LinkedIn
    • RSS
      Articles
      News
      Events
      Job Posts
    • Twitter
Datafloq

Datafloq

Data and Technology Insights

  • Categories
    • Big Data
    • Blockchain
    • Cloud
    • Internet Of Things
    • Metaverse
    • Robotics
    • Cybersecurity
    • Startups
    • Strategy
    • Technical
  • Big Data
  • Blockchain
  • Cloud
  • Metaverse
  • Internet Of Things
  • Robotics
  • Cybersecurity
  • Startups
  • Strategy
  • Technical

What is the Best Architecture for your Application: Monolith, Microservices or Serverless?

Stephen Soldberg / 6 min read.
September 24, 2019
Datafloq AI Score
×

Datafloq AI Score: 80.67

Datafloq enables anyone to contribute articles, but we value high-quality content. This means that we do not accept SEO link building content, spammy articles, clickbait, articles written by bots and especially not misinformation. Therefore, we have developed an AI, built using multiple built open-source and proprietary tools to instantly define whether an article is written by a human or a bot and determine the level of bias, objectivity, whether it is fact-based or not, sentiment and overall quality.

Articles published on Datafloq need to have a minimum AI score of 60% and we provide this graph to give more detailed information on how we rate this article. Please note that this is a work in progress and if you have any suggestions, feel free to contact us.

floq.to/2g2yq

Choosing the right architecture is critical for the overall success of your product. The three most popular architectures used in the IT world are Monolith, Microservices, and Serverless. Each one offers its own advantages to create exactly the right sort of solution for your users with the best possible experience. Let’s take a look at each architecture separately to see how they work and uncover potential benefits.

Monolithic Architecture

Monolithic software is self-contained and all of the various components are interconnected with each other. This means that each component and all of the components associated with it need to be present for the code to be executed and compiled. If you would like to update even one of the components, this means that you will need to rewrite the entire application. While this scares away a lot of developers from creating monolithic architectures, it offers substantial benefits as well such as:

  • Fewer issues affecting the entire app – These include error handling, logging and caching. All of these functionalities would only concern a single app thus making life simpler.
  • Simpler testing and debugging – the monolith is a big cohesive unit, thus making it possible to perform end-to-end testing faster.
  • Easy to deploy – Since there is only one file or directory only one deployment is necessary.

While the monolithic architecture may charm some developers with its simplicity, things could get very complicated if and when you decide to scale. As the monolith scales up, things get hairy very quickly since any complex system of code with only one app will be difficult to manage. Additionally, the following factors will need to be considered with a monolithic architecture:

  • Making changes – It will be difficult to make even small changes because everything is interconnected. In other words, even a small change can reverberate across the entire application.
  • Scalability – Independent components cannot be scaled
  • Obstacles for new technologies – If you would like to introduce any new technology into the monolith, you will have to rewrite the entire application.

Since developing in a monolithic architecture presents so many difficulties, companies have decided to use a microservices architecture instead. Let’s take a look.

Microservices Infrastructure

The microservices architecture breaks down each individual component into separate units which carry out the application processes as a separate service. Each service has its own logic and database. Think of it as creating one application with a suite of smaller services. The functionality will be divided among these smaller services, which can be deployed independently, and communicate with each other via API. In addition to everything mentioned above, the following are additional benefits offered by the microservices infrastructure:

  • Flexibility – Enjoy added flexibility as far as technology is concerned and being able to add new features and services along the way
  • Enhanced scalability – Scale each component independently without worrying about reaching a ceiling. This means you will be able to accommodate more users quickly without making any drastic changes.
  • Increased agility – Any issues found in the microservices architecture will only affect one service instead of the entire app. This means that any new changes that you implement will involve less risk.

While it may seem that microservices is the ideal infrastructure, it does come with its drawbacks as well:

  • More complex – In a distributed system, you have to create the connection between all databases and modules,
  • Testing – Since the microservices architecture consists of several components each of which can be deployed separately, testing becomes much more difficult.
  • Cross-cutting concerns – These issues include externalized configuration, logging and other issues.

While monolithic and microservices architectures have been traditionally used for creating applications, recently a new one has emerged called serverless.

Serverless Architecture

The term Serverless was first used to describe an app that either mostly or fully used third-party, cloud-hosted apps and services to manage the back-end logic. However, this term can also refer to an instance where the logic on the server-side is still written by a human, but it is being run with stateless compute containers. A popular term that is being used to describe this architecture is Functions as a service (FaaS).

Businesses take advantage of cloud services from AWS and Microsoft Azure to replace physical servers. There is no need to provision or manage servers which saves you a lot of money on overhead costs associated with actually running the servers, storage space and salary for system administrators.

Additional benefits of serverless include

  • Less time to market – A new app can be created in a matter of hours. There are lots of apps on the market today that rely on vendor APIs such as OAuth, Twitter, and Mapbox.

  • Scalability – With a serverless architecture you do not need to provision infrastructure for emergency scenarios. Scaling is performed automatically and seamlessly.


    Interested in what the future will bring? Download our 2023 Technology Trends eBook for free.

    Consent

  • It’s on whenever you need it – If you are experiencing a sudden surge in users, you will be able to accommodate them with on-demand computing power. This means you do not have to provision any resources for unexpected situations.

The disadvantages of the serverless architecture are

  • Problems resulting from third-party APIs – these problems include vendor control and lock-in.

  • Less operational tools – You are totally dependant on the vendor for your debugging efforts. Also, to perform a thorough search for bugs and to uncover the underlying problem, you will need to have access to all kinds of metrics which might not be easy to get.

  • Implementation is a problem – Integration testing serverless apps is very difficult. Smaller integrational units mean that you will be relying on integration testing more so than with microservices or monolithic architectures. Now that we have an idea of each type of architecture, let’s take a look at when it would be best to use each one.

Which One to Choose?

Microservices are very popular right now, but it would be a mistake to use it just because other people have adopted it. There have been many situations where companies tried to adopt microservices, but due to a lack of knowledge, ended up creating something that was neither a monolith nor microservices. They have services that are not properly encapsulated and one service was connected to another in a way that one agile team could make an independent decision on deploying a microservice.

Therefore, it is a good idea to start with the monolithic architecture, especially if you do not have any microservices experience. Also, if you are at the founding stage and have a team of five people or less you should also stick with the monolithic architecture because you will not be able to handle the high overhead of microservice. If you are developing a new product that is unproven on the market, chances are that it will evolve over time so a monolith would be well suited for you since it allows for fast product iterations.

The microservices architecture will be a good fit if you need fast and independent service delivery. However, you should know that it might not see gains in delivering your service right away. Also, if a certain part of your platform needs to be more efficient than others, microservices will be ideal because it allows for independent scalability and increased flexibility.

If you have a certain operation within your system that takes up a significant amount of computing power with unpredictable spikes in traffic, it is a good idea to use a serverless architecture. If you are already using microservices, then the system is likely prone to further decoupling, but it serverless could still make sense if you are using a monolith as well. However, if you are not currently on the cloud, you should not start with serverless. Services like AWS Lambda work best when combined with other services from AWS. If you are not ready to lock your service into a specific vendor, then serverless is not right for you.

Making the Decision

Software development itself is a process, therefore you need to clearly understand the problems that you are facing and how you plan to deal with them. This is necessary even before you start considering your choice of architecture. Think about the patterns that fit the problem and the scale you need the app to perform. Try not to get too caught up in the details such as the programming language you will use. Instead think about your estimated time to market, the size of your team and the deadlines.

It is important that you not rush the decision of your architecture and get inputs from lots of different sources. After all, transitioning to a new architecture will be time consuming and expensive.

Categories: Cloud
Tags: Amazon, architecture, microsoft, server, software

About Stephen Soldberg

I am a full-stack developer with 10 years of experience. I enoy writing and blogging about the latest developemnts in the world of tech and sofwtare development practices.

Primary Sidebar

E-mail Newsletter

Sign up to receive email updates daily and to hear what's going on with us!

Publish
AN Article
Submit
a press release
List
AN Event
Create
A Job Post
Host your website with Managed WordPress for $1.00/mo with GoDaddy!

Related Articles

The Advantages of IT Staff Augmentation Over Traditional Hiring

May 4, 2023 By Mukesh Ram

The State of Digital Asset Management in 2023

May 3, 2023 By pimcoremkt

Test Data Management – Implementation Challenges and Tools Available

May 1, 2023 By yash.mehta262

Related Jobs

  • Software Engineer | South Yorkshire, GB - February 07, 2023
  • Software Engineer with C# .net Investment House | London, GB - February 07, 2023
  • Senior Java Developer | London, GB - February 07, 2023
  • Software Engineer – Growing Digital Media Company | London, GB - February 07, 2023
  • LBG Returners – Senior Data Analyst | Chester Moor, GB - February 07, 2023
More Jobs

Tags

AI Amazon analysis analytics app application Artificial Intelligence BI Big Data business China Cloud Companies company costs crypto customers Data design development digital environment experience future Google+ government information learning machine learning market mobile Musk news Other public research sales security share social social media software strategy technology twitter

Related Events

  • 6th Middle East Banking AI & Analytics Summit 2023 | Riyadh, Saudi Arabia - May 10, 2023
  • Data Science Salon NYC: AI & Machine Learning in Finance & Technology | The Theater Center - December 7, 2022
  • Big Data LDN 2023 | Olympia London - September 20, 2023
More events

Related Online Courses

  • Oracle Cloud Data Management Foundations Workshop
  • Data Science at Scale
  • Statistics with Python
More courses

Footer


Datafloq is the one-stop source for big data, blockchain and artificial intelligence. We offer information, insights and opportunities to drive innovation with emerging technologies.

  • Facebook
  • LinkedIn
  • RSS
  • Twitter

Recent

  • 5 Reasons Why Modern Data Integration Gives You a Competitive Advantage
  • 5 Most Common Database Structures for Small Businesses
  • 6 Ways to Reduce IT Costs Through Observability
  • How is Big Data Analytics Used in Business? These 5 Use Cases Share Valuable Insights
  • How Realistic Are Self-Driving Cars?

Search

Tags

AI Amazon analysis analytics app application Artificial Intelligence BI Big Data business China Cloud Companies company costs crypto customers Data design development digital environment experience future Google+ government information learning machine learning market mobile Musk news Other public research sales security share social social media software strategy technology twitter

Copyright © 2023 Datafloq
HTML Sitemap| Privacy| Terms| Cookies

  • Facebook
  • Twitter
  • LinkedIn
  • WhatsApp

In order to optimize the website and to continuously improve Datafloq, we use cookies. For more information click here.

Dear visitor,
Thank you for visiting Datafloq. If you find our content interesting, please subscribe to our weekly newsletter:

Did you know that you can publish job posts for free on Datafloq? You can start immediately and find the best candidates for free! Click here to get started.

Not Now Subscribe

Thanks for visiting Datafloq
If you enjoyed our content on emerging technologies, why not subscribe to our weekly newsletter to receive the latest news straight into your mailbox?

Subscribe

No thanks

Privacy Overview

This website uses cookies so that we can provide you with the best user experience possible. Cookie information is stored in your browser and performs functions such as recognising you when you return to our website and helping our team to understand which sections of the website you find most interesting and useful.

Necessary Cookies

Strictly Necessary Cookie should be enabled at all times so that we can save your preferences for cookie settings.

If you disable this cookie, we will not be able to save your preferences. This means that every time you visit this website you will need to enable or disable cookies again.

Marketing cookies

This website uses Google Analytics to collect anonymous information such as the number of visitors to the site, and the most popular pages.

Keeping this cookie enabled helps us to improve our website.

Please enable Strictly Necessary Cookies first so that we can save your preferences!