What is Cloud Engineering? Complete Guide 2025

Explore our comprehensive guide to cloud engineering, which covers essential concepts, best practices, and tools for creating.

Save the date:
13/5/2025
5 min
No items found.
Logo de Mbit School
Por
MBIT DATA School

The silent revolution that's changing the rules of the game for small businesses

Have you ever felt that great technologies are only available to companies with million-dollar budgets? That era is over, and Cloud Engineering is the key that is opening this door for SMEs like yours.

Cloud Engineering vs. Cloud Computing: No, They're Not the Same Thing

You've probably heard of “the cloud” ad nauseam, but Cloud Engineering goes one step further. If the cloud is the supermarket with all the products, Cloud Engineering is the chef who knows exactly what ingredients you need and how to combine them to create the perfect dish.

While cloud computing gives you access to servers and online services, Cloud Engineering designs, implements and manages those systems to solve your specific business problems.

Think of it this way: you're not just “uploading things to the cloud,” you're creating a customized technology architecture that powers your business exactly where you want to go.

Why are SMEs adopting this technology at full speed?

It's no accident that you see so many small businesses taking the leap. Here are the factors that are accelerating this adoption:

  1. Your competition is already doing it - Companies that have adopted Cloud Engineering are responding faster to market needs.
  2. Margins are narrowing - With rising costs, optimizing each resource is no longer optional.
  3. Specialized talent is more accessible - Now you can find cloud professionals without having to compete with big technology companies.
  4. What used to cost millions now costs cents - You literally pay only for what you use, when you use it.

Digital transformation is no longer optional (and Cloud Engineering is its backbone)

Let's be clear: digital transformation has gone from being “that thing we'll do someday” to “we need to do it to survive”. And Cloud Engineering isn't just part of this transformation, it's the engine that makes it possible.

The SMEs that are taking this step are:

  • Launching new products in weeks instead of months
  • Personalizing your customers' experience with data they didn't even know they had before
  • Automating processes that used to occupy entire people
  • Making decisions based on real-time information, not intuition

Where to start? Identify your pain points

The million-dollar question: how to identify where to first apply Cloud Engineering in your business? Follow these 4 steps:

  1. Find your bottlenecks - Where do processes get stuck? What tasks are always delayed?
  2. Detect repetitive tasks - If your team does the same thing over and over again, there's a golden opportunity to automate.
  3. Review your old systems - Those programs that “work but cause problems” are perfect candidates for modernization.
  4. Analyze what you do with your data - If you have customer information or transactions that you're not taking advantage of, you're leaving money on the table.

Remember: you don't need to transform your entire company all at once. Start where it hurts the most and you'll see immediate results.

The advantages that are making SMEs move to the cloud

If you're still not convinced, here are the concrete benefits that small businesses are seeing in adopting Cloud Engineering.

Goodbye to large initial investments in technology

The traditional model was clear: invest a fortune in servers, software and technical staff... and pray that they will continue to be useful in 3 years. Cloud Engineering completely changes this equation:

  • You pay only for what you use - It's like having an electricity bill that goes up when you turn on more bulbs and goes down when you turn them off.
  • Forget about hardware maintenance - Servers that are overheating? Hard drives that fail? Now they are the cloud provider's problem.
  • Reduce your technical equipment - A single cloud engineer can manage what an entire department previously required.
  • Convert fixed costs into variables - Adapt your technological expenses to the real pace of your business.

A practical example: an online store that paid €5,000 per month for its own infrastructure went on to pay €800 in normal months and €1,200 in high season with AWS. Do the math.

Scale without fear: grow or reduce resources as you need

Do you remember when you had to plan your technological resources years in advance? That headache is over:

  • Peak sales for Black Friday? Increase your resources in a matter of minutes.
  • Low season? Reduce your capacity and stop paying for what you don't need.
  • New business idea? Try it without risking large investments.
  • Unexpected growth? Your infrastructure grows with you, without limitations.

Imagine being able to double the capacity of your website in 5 minutes when you launch a viral campaign. That's Cloud Engineering in action.

Innovate like the big ones without the big budget

The speed of innovation now makes the difference between surviving and standing out. With Cloud Engineering:

  • Launch new products in days, not months - What once required endless development cycles can now be on the market in record time.
  • Test ideas with real clients before investing in a big way - Create functional prototypes at low cost and validate their potential.
  • Implement changes on the fly - Is a new feature not working as expected? Modify it in real time, without waiting.
  • Access cutting-edge technologies without million-dollar investments - Use artificial intelligence, big data or machine learning by paying only for what you consume.

A local distributor was able to launch a demand forecasting system using machine learning on Google Cloud with an initial investment of €2,000, when traditional solutions cost more than €50,000.

Sleep easy: high availability and disaster recovery

A crashed system can cost an SME thousands of euros in lost sales and customer trust. Cloud Engineering gives you:

  • Systems that never sleep - Redundant architectures that eliminate single points of failure.
  • Automatic backups - Geographically distributed to survive any eventuality.
  • Recovery in minutes, not days - What used to be disasters are now minor interruptions.
  • Protection against attacks - Enterprise-level security that previously only multinationals could afford.

Think about this: When the last major storm knocked out power for 36 hours in half the city, companies with cloud systems continued to operate normally while their competitors were counting losses.

The real obstacles and how to overcome them (without losing your sanity)

Not everything is rosy, and it's best to know the challenges before you encounter them by surprise.

Cloud migration: why you need a map for this trip

Migrating to the cloud without a clear plan is like driving to a new city without GPS: you'll probably end up lost and frustrated.

To make your migration a success, follow these steps:

  1. Do a full inventory - Before moving anything, document all your current systems and data.
  2. Prioritize what will have the most impact - Start with applications that will provide quick and visible benefits.
  3. Choose the right strategy for each system - Not everything should be migrated the same way (rehost, refactor, replace, etc.).

“But we've always done it this way”: The real enemy of transformation

Resistance to change is natural and to be expected. In fact, 70% of digital transformation projects fail not because of technical problems, but because of internal resistance.

To minimize this obstacle:

  • Communicate specific benefits for each department - “This will save you 5 hours a week on reports” is more convincing than “we are going to digitize processes”.
  • Include teams in decisions - People support what they help to create.
  • Invest in training - Fear often comes from ignorance.
  • Celebrate and share every small success - Nothing is more convincing than seeing real results.

Remember: you're changing the way people work, not just implementing technology.

Cloud Security: Separating Myths from Realities

“But is it safe to have my data in the cloud?” It's probably the question you'll hear the most. The short answer: yes, probably more secure than on your own servers.

To address security concerns:

  • Implement the principle of least privilege - Every person and system should have access only to what they need, nothing else.
  • Encrypt your sensitive data - Both when they are in storage and when they are in transit.
  • Activate two-factor authentication - It is the most effective individual measure against hacking.
  • Regularly check who has access to what - Permissions have to evolve with people's roles.

Surprising fact: According to Gartner, by 2025, 99% of cloud security failures will be the customer's fault, not the vendor's. The cloud is secure if you configure it correctly.

Is it worth the investment? How to measure real return

“How do I know if this is really working?” It's a totally valid question. To measure the ROI of your investment in Cloud Engineering:

  1. Establish a baseline before starting - Document current times, costs and satisfaction metrics.
  2. Define specific KPIs - “Reducing order processing time by 40%" is better than “improving efficiency”.
  3. Measure the impact on revenues, not just costs - Often, the greatest value is in the new opportunities that open up.
  4. Evaluate employee and customer satisfaction - Qualitative improvements also count.

A logistics company measured that for every euro invested in its cloud transformation, it achieved €4.3 in cost reduction and €2.8 in new revenues in the first 18 months.

Take the leap with the Master in Data Engineering, Cloud & Big Data by MBIT School

El Cloud Engineering it is no longer a luxury reserved for large corporations: it is the basis on which the most agile SMEs are building real competitive advantages. The new Master in Data Engineering, Cloud & Big Data of MBIT School takes that revolution one step further, integrating the data engineering with the architectures Cloud that AWS, Azure, Spark, Databricks or Snowflake demand today.

With a 100% practical curriculum — and the methodology Data Roleplay Experience— you will learn to:

  • Design scalable data pipelines in the cloud, from ingestion to data governance.
  • Orchestrate microservices and containers that support high-impact transactional or analytical applications.
  • Deploy “cloud-native” projects ranging from social media backends to streaming architectures for e‑commerce.

All this with in-person or online classes in the heart of Madrid and the support of our Talent Coach And a employment exchange which exceeds 95% of employability.

No items found.
Great! Your request is already being processed. Soon you will have news.
Oops! Some kind of error has occurred.

The silent revolution that's changing the rules of the game for small businesses

Have you ever felt that great technologies are only available to companies with million-dollar budgets? That era is over, and Cloud Engineering is the key that is opening this door for SMEs like yours.

Cloud Engineering vs. Cloud Computing: No, They're Not the Same Thing

You've probably heard of “the cloud” ad nauseam, but Cloud Engineering goes one step further. If the cloud is the supermarket with all the products, Cloud Engineering is the chef who knows exactly what ingredients you need and how to combine them to create the perfect dish.

While cloud computing gives you access to servers and online services, Cloud Engineering designs, implements and manages those systems to solve your specific business problems.

Think of it this way: you're not just “uploading things to the cloud,” you're creating a customized technology architecture that powers your business exactly where you want to go.

Why are SMEs adopting this technology at full speed?

It's no accident that you see so many small businesses taking the leap. Here are the factors that are accelerating this adoption:

  1. Your competition is already doing it - Companies that have adopted Cloud Engineering are responding faster to market needs.
  2. Margins are narrowing - With rising costs, optimizing each resource is no longer optional.
  3. Specialized talent is more accessible - Now you can find cloud professionals without having to compete with big technology companies.
  4. What used to cost millions now costs cents - You literally pay only for what you use, when you use it.

Digital transformation is no longer optional (and Cloud Engineering is its backbone)

Let's be clear: digital transformation has gone from being “that thing we'll do someday” to “we need to do it to survive”. And Cloud Engineering isn't just part of this transformation, it's the engine that makes it possible.

The SMEs that are taking this step are:

  • Launching new products in weeks instead of months
  • Personalizing your customers' experience with data they didn't even know they had before
  • Automating processes that used to occupy entire people
  • Making decisions based on real-time information, not intuition

Where to start? Identify your pain points

The million-dollar question: how to identify where to first apply Cloud Engineering in your business? Follow these 4 steps:

  1. Find your bottlenecks - Where do processes get stuck? What tasks are always delayed?
  2. Detect repetitive tasks - If your team does the same thing over and over again, there's a golden opportunity to automate.
  3. Review your old systems - Those programs that “work but cause problems” are perfect candidates for modernization.
  4. Analyze what you do with your data - If you have customer information or transactions that you're not taking advantage of, you're leaving money on the table.

Remember: you don't need to transform your entire company all at once. Start where it hurts the most and you'll see immediate results.

The advantages that are making SMEs move to the cloud

If you're still not convinced, here are the concrete benefits that small businesses are seeing in adopting Cloud Engineering.

Goodbye to large initial investments in technology

The traditional model was clear: invest a fortune in servers, software and technical staff... and pray that they will continue to be useful in 3 years. Cloud Engineering completely changes this equation:

  • You pay only for what you use - It's like having an electricity bill that goes up when you turn on more bulbs and goes down when you turn them off.
  • Forget about hardware maintenance - Servers that are overheating? Hard drives that fail? Now they are the cloud provider's problem.
  • Reduce your technical equipment - A single cloud engineer can manage what an entire department previously required.
  • Convert fixed costs into variables - Adapt your technological expenses to the real pace of your business.

A practical example: an online store that paid €5,000 per month for its own infrastructure went on to pay €800 in normal months and €1,200 in high season with AWS. Do the math.

Scale without fear: grow or reduce resources as you need

Do you remember when you had to plan your technological resources years in advance? That headache is over:

  • Peak sales for Black Friday? Increase your resources in a matter of minutes.
  • Low season? Reduce your capacity and stop paying for what you don't need.
  • New business idea? Try it without risking large investments.
  • Unexpected growth? Your infrastructure grows with you, without limitations.

Imagine being able to double the capacity of your website in 5 minutes when you launch a viral campaign. That's Cloud Engineering in action.

Innovate like the big ones without the big budget

The speed of innovation now makes the difference between surviving and standing out. With Cloud Engineering:

  • Launch new products in days, not months - What once required endless development cycles can now be on the market in record time.
  • Test ideas with real clients before investing in a big way - Create functional prototypes at low cost and validate their potential.
  • Implement changes on the fly - Is a new feature not working as expected? Modify it in real time, without waiting.
  • Access cutting-edge technologies without million-dollar investments - Use artificial intelligence, big data or machine learning by paying only for what you consume.

A local distributor was able to launch a demand forecasting system using machine learning on Google Cloud with an initial investment of €2,000, when traditional solutions cost more than €50,000.

Sleep easy: high availability and disaster recovery

A crashed system can cost an SME thousands of euros in lost sales and customer trust. Cloud Engineering gives you:

  • Systems that never sleep - Redundant architectures that eliminate single points of failure.
  • Automatic backups - Geographically distributed to survive any eventuality.
  • Recovery in minutes, not days - What used to be disasters are now minor interruptions.
  • Protection against attacks - Enterprise-level security that previously only multinationals could afford.

Think about this: When the last major storm knocked out power for 36 hours in half the city, companies with cloud systems continued to operate normally while their competitors were counting losses.

The real obstacles and how to overcome them (without losing your sanity)

Not everything is rosy, and it's best to know the challenges before you encounter them by surprise.

Cloud migration: why you need a map for this trip

Migrating to the cloud without a clear plan is like driving to a new city without GPS: you'll probably end up lost and frustrated.

To make your migration a success, follow these steps:

  1. Do a full inventory - Before moving anything, document all your current systems and data.
  2. Prioritize what will have the most impact - Start with applications that will provide quick and visible benefits.
  3. Choose the right strategy for each system - Not everything should be migrated the same way (rehost, refactor, replace, etc.).

“But we've always done it this way”: The real enemy of transformation

Resistance to change is natural and to be expected. In fact, 70% of digital transformation projects fail not because of technical problems, but because of internal resistance.

To minimize this obstacle:

  • Communicate specific benefits for each department - “This will save you 5 hours a week on reports” is more convincing than “we are going to digitize processes”.
  • Include teams in decisions - People support what they help to create.
  • Invest in training - Fear often comes from ignorance.
  • Celebrate and share every small success - Nothing is more convincing than seeing real results.

Remember: you're changing the way people work, not just implementing technology.

Cloud Security: Separating Myths from Realities

“But is it safe to have my data in the cloud?” It's probably the question you'll hear the most. The short answer: yes, probably more secure than on your own servers.

To address security concerns:

  • Implement the principle of least privilege - Every person and system should have access only to what they need, nothing else.
  • Encrypt your sensitive data - Both when they are in storage and when they are in transit.
  • Activate two-factor authentication - It is the most effective individual measure against hacking.
  • Regularly check who has access to what - Permissions have to evolve with people's roles.

Surprising fact: According to Gartner, by 2025, 99% of cloud security failures will be the customer's fault, not the vendor's. The cloud is secure if you configure it correctly.

Is it worth the investment? How to measure real return

“How do I know if this is really working?” It's a totally valid question. To measure the ROI of your investment in Cloud Engineering:

  1. Establish a baseline before starting - Document current times, costs and satisfaction metrics.
  2. Define specific KPIs - “Reducing order processing time by 40%" is better than “improving efficiency”.
  3. Measure the impact on revenues, not just costs - Often, the greatest value is in the new opportunities that open up.
  4. Evaluate employee and customer satisfaction - Qualitative improvements also count.

A logistics company measured that for every euro invested in its cloud transformation, it achieved €4.3 in cost reduction and €2.8 in new revenues in the first 18 months.

Take the leap with the Master in Data Engineering, Cloud & Big Data by MBIT School

El Cloud Engineering it is no longer a luxury reserved for large corporations: it is the basis on which the most agile SMEs are building real competitive advantages. The new Master in Data Engineering, Cloud & Big Data of MBIT School takes that revolution one step further, integrating the data engineering with the architectures Cloud that AWS, Azure, Spark, Databricks or Snowflake demand today.

With a 100% practical curriculum — and the methodology Data Roleplay Experience— you will learn to:

  • Design scalable data pipelines in the cloud, from ingestion to data governance.
  • Orchestrate microservices and containers that support high-impact transactional or analytical applications.
  • Deploy “cloud-native” projects ranging from social media backends to streaming architectures for e‑commerce.

All this with in-person or online classes in the heart of Madrid and the support of our Talent Coach And a employment exchange which exceeds 95% of employability.

signup
Icono de Google Maps
Great! Your request is already being processed. Soon you will have news.
Oops! Some kind of error has occurred.

Related training itineraries

Have you been interested? Go much deeper and turn your career around. Industry professionals and an incredible community are waiting for you.

Master
Expert Program
Course
Data Engineering, Cloud & Big Data

Specialize your career in one of the most relevant profiles for companies, learning advanced technologies that will allow you to participate in the creation of high-impact products, such as social networks, streaming services or video games.

12 months
October 2024
Face-to-Face/Online
Master
Expert Program
Course
Data Science, Machine Learning & Strategic Analytics

Transform your career and your industry thanks to Data Science, becoming an expert in advanced analytics, visualization and the latest technological trends.

12 months
October 2024
Face-to-Face/Online
Master
Expert Program
Course
Advanced and Generative Artificial Intelligence

Become an expert in Artificial Intelligence applied to business and acquire the strategic and technical competencies to build state-of-the-art solutions

12 months
October 2024
Face-to-Face/Online