(LSJ) What is back-end development?

What is back-end development?

Back-end development is a mix of hardware and software, which realize the logic of the site.This is something that is hidden from the user's eyes and occurs outside of his browser and computer.

When our Cloud Ready Teams are working with back-end, there is a range of programming languages we can use, for example Ruby, PHP, Python, Java.

Thanks to back-end, we have an opportunity to create and integrate databases, provide security, create backup and recovery technologies.

Contact our Sales to learn more.

Q: How does the front end app in your mobile phone and the application back end interact?

A: It can be described as a circle: the front end application user form sends user’s data request to the back end, where it is processed and returned back as an answer in a clear form.


There are several options for technical solutions for the interaction of the front end and back end:

  • The HTTP request is sent directly to the server, the server makes a search for information, embeds it into the template and returns it as an HTML page;

  • using AJAX (Asynchronous JavaScript and XML) messaging.

    In this case, the request is sent by the JavaScript loaded into the browser, and the response comes in XML or JSON format;Single-page applications that load data without refreshing the page. This can also done using AJAX or Angular and Ember frameworks;

  • Ember or React library helps to use the application both on the server and in the client’s side. Front-end and back-end interact via AJAX and HTML code, which is processed on the server.

As we can see, modern development is a complex and multi-level process, which is divided into two parts: client and server.


In the arsenal of frontend and backend programmers there are a lot of tools which are chosen according to the tasks and complexity of the project.

Both types of development include technical and creative components.

For developing back-end our company has a wide range of technologies: Ruby, .NET, Java, PHP, Node JS, Go, C++, C#, Flutter, React.JS.

With Lifetime Group’s Continuous Development Service you as the customer make sure that your application responds to any interaction correctly all the time, and all the updates and security fixes are done when needed.

(LSJ) What is Data Science Platform?

When building teams

Market Definition/Description

Data Science Platform definition

A cohesive software application that offers a mixture of basic building blocks essential for creating all kinds of data science solution, and for incorporating those solutions into business processes, surrounding infrastructure and products.

Artificial intelligence (AI) is hyped:

Hype about AI is at its peak, but AI must be distinguished from data science and ML. Of course, data science is the core discipline for the development of AI, and ML is a core development of AI, but this is not the whole story. ML is about creating and training models; AI is about using those models to infer conclusions under certain conditions. AI is on a different level of aggregation to data science and ML. AI is at the application level.

Data Science and ML models must be combined to work together with other capabilities, such as a UI and workflow management, to constitute an AI Application.

The Report finds variety of audiences to data science and ML platforms (modified):

  • Citizen data scientists who are accessing (open) data and building data science and ML models. They come from roles such as business analyst, line of business (LOB) analyst, data engineer, and application developer.

  • LOB data science teams who address initiatives in areas such as digital marketing, risk management, Customer Engagement Management.

  • Corporate data science teams who have strong executive sponsorship, and can take a cross-functional approach. They do model building and end-to-end process for building and deploying data science and ML models.

  • Star (Mavericks) Data Scientists. The Python, R, Apache Spark Gurus.

(Gartner Report Magic Quadrant for Data Science and Machine Learning Platforms, published 28 January 2019 ; by Analysts Carlie Idoine, Peter Krensky, Erick Bretheneoux, Alexander Linden).

(LSJ) Lifetime Classification of Consultants

IDC asked me for salary study our classification of Consultants and their payment expectations for 2019. Here is our Classification of Consultants for Secure Managed Sourcing.

1. Consultants (skills level 2,3,4)

Installation & administration of hardware, operating systems, Microsoft office 365 / G Suite software Administration, implementing security solutions on desktop, servers and LAN. Support of hardware, operating systems and office-software, troubleshooting and repair. Any new consultant is in this category before clearing Cloud Ready Teams Certification Program. Quality Assurance.

2. Developers (skills level 2,3,4)

1-3 years of experience

3-5 years of experience

5+ years of experience

of Coding,  test automation,  Applications Production, DevOps. 10 Programming languages.

3. Technical Project Managers

Thorough competence within a specific area. For instance JIRA, SAFe, cloud computing, networking, security, Linux. The specified person has a long experience and thorough technical understanding – but not a broader approach toward the solutions. System integrator specialists (Mulesoft, Openshift), system designers within a specific solution. Technical Project managers.

4. Cloud solutions architects

Cloud Solutions Architects cover a broader area, for instance combining server, network and application knowledge to design the overall infrastructure. Capable of creating requirement specifications based on for instance workflow descriptions etc. Senior project managers, large projects.

5. Senior consultants

Combining technical and smart business comprehension (not management consultants). Competence in organizational analysis combined with a technical understanding – the business part of cloud solutions architects. IT estimation, risk estimation, business continuity analysis – from a business and an IT perspectives.

6. Strategic Advisors

Management consulting. Advisor level. Strategy formation. Cloud Strategies. Please contact us.

(LSJ) Everyone wants to just focus on business logic

AWS re:invent Keynote with Werner Vogels, CTO, Amazon.com

AWS re:invent Keynote with Werner Vogels, CTO, Amazon.com

API Gateway gets Websocket Support

ALB Support for Lambda