Announcing Coherence 2.0 and CNC, the first open source IaC framework
All posts

Cloud Software Environment for DevOps

Explore the transformative impact of cloud software environments on DevOps, highlighting benefits, key platforms, setup processes, and future trends.

Zan Faruqui
May 16, 2023

Exploring how cloud software environments revolutionize DevOps, this article dives into the synergy between cloud computing and DevOps practices, offering a comprehensive overview of how they together enhance software development and operations. Here's a quick summary:

  • Cloud Benefits for DevOps: Quick setup, enhanced teamwork, less busywork, quicker releases, and improved safety.
  • Cloud Software Environments: Include infrastructure, platforms, tools, and services that support app development and management.
  • Cloud DevOps Integration: Combines cloud services with DevOps methods for faster, more reliable app development and deployment.
  • Setting Up a Cloud Software Environment: Involves executive buy-in, selecting a cloud platform, estimating usage, analyzing costs, and preparing for onboarding.
  • Key Cloud Platforms: AWS, Azure, and Google Cloud offer robust DevOps capabilities like CI/CD pipelines, version management, and integrated tools for collaboration.
  • Enhancing DevOps with Cloud Services: Focuses on making CI/CD workflows smoother, improving monitoring and feedback, and integrating security (CloudSecOps) into Cloud DevOps.
  • DevOps as a Service (DaaS): Provides an integrated suite of DevOps tools and practices, simplifying the adoption and management of DevOps workflows.
  • Overcoming Cloud DevOps Challenges: Addresses common obstacles like legacy system integration, skill gaps, fragmented visibility, and cultural resistance.
  • Success Stories: Showcases how companies have successfully implemented Cloud DevOps to achieve faster release times, scale efficiently, and reduce costs.
  • Future Trends: Highlights emerging trends like GitOps, progressive delivery, ML-driven development, event-driven architectures, and low-code/no-code platforms.

This article aims to inform readers about the transformative impact of cloud software environments on DevOps, illustrating the benefits, setup processes, key platforms, and future directions in simple and straightforward language.

Definition and Components

When we talk about a cloud software environment, we're looking at everything needed to make and manage apps using the cloud. This includes:

  • Infrastructure - The basic building blocks like computers, storage, and security that keep everything running smoothly.

  • Platforms - Tools that make it easier to work with apps by handling the complicated stuff for us.

  • Tools - Special services that help with creating apps, checking for mistakes, keeping an eye on how things are running, and working together.

  • Services - Extra features like artificial intelligence, data analysis, and messaging that can be added to apps.

All these parts work together to help make apps faster, from starting a project to updating it, making it bigger, and fixing it.

Support for DevOps Practices

Cloud software environments help with important DevOps practices in several ways:

  • Automation - They can set up what's needed on their own and use tools to automatically test and update apps.
  • Visibility - They give a clear view of what's happening with apps and the system they run on.
  • Collaboration - Teams from anywhere can work on the same project easily.
  • Frequent Updates - It's easier to make small changes quickly, and testing new ideas doesn't slow things down.
  • Infrastructure as Code - You can write down how the system should be set up, making it easier to share and keep track of changes.
  • Security and Compliance - They come with built-in safety features and follow rules to protect data.

Cloud environments make it possible to focus on making apps better without worrying too much about the underlying system. They offer a way to work faster, save money, and be more flexible.

The Synergy between Cloud and DevOps

Exploring Cloud DevOps

Cloud DevOps is about using cloud services and DevOps methods together. This mix makes it much easier and quicker to build, put out, and look after apps.

Here’s what’s important in Cloud DevOps:

  • Infrastructure-as-Code - You can set up and control cloud stuff with code, which makes things automatic and consistent.
  • Flexible Resources - Cloud platforms let you use as much or as little computer power, storage, and other things as you need, anytime.
  • Integrated Tools - Cloud providers often have tools built in for things like continuous integration, continuous delivery, monitoring, and logging.
  • Collaboration - Cloud tools help teams work together smoothly, even if they’re far apart, and connect easily with other services.

Cloud DevOps helps teams get software out faster and more reliably by combining the best of cloud computing and DevOps.

Benefits of Integrating Cloud and DevOps

Here are some big pluses of using Cloud DevOps:

  • Agility - Being automatic and able to change resources quickly means you can react fast to new needs. You can try out and launch new things in no time.
  • Innovation Velocity - Getting feedback fast and being able to experiment more means you can come up with new stuff quicker.
  • Scalability - Apps can handle more users instantly without needing to plan ahead for more capacity.
  • Reliability - Automatic testing and steps make software better and less likely to break. If something goes wrong, you can quickly go back to a previous version.
  • Collaboration - Teams in different places can work together easily using cloud-based tools like AWS CodeCommit for storing code, AWS CodeBuild and AWS CodePipeline for continuous integration and delivery, and AWS CodeDeploy for putting software out there.
  • Cost Savings - Paying only for what you use and making the most of resources means spending less money.
  • Security - Cloud platforms come with security stuff like keeping data safe, controlling who can see what, and checking for risks.

By using Cloud DevOps, teams can spend more time making their apps better and less time worrying about the tech behind them. It’s all about being fast, flexible, and focused on what users need.

Setting Up a Cloud Software Environment for DevOps


Before diving into setting up a cloud environment for DevOps, make sure you have:

  • Executive buy-in - It's important that the big bosses see the value in moving to a cloud DevOps setup and are willing to back it up with resources and money.
  • Cloud platform selection - Choose the right cloud service (like AWS, Azure, or Google Cloud) that fits what you need. Think about the tools they offer, if they meet your legal requirements, where their servers are, and how much they cost.
  • Usage estimation - Guess how much cloud stuff you'll need (like how many users or how much storage) to help with budgeting.
  • Cost analysis - Look into how much things will cost based on how much you plan to use the cloud, to make sure it fits into your budget.
  • Provision budgets - Set aside money for your cloud costs and set up alerts to keep spending under control. Adjust as you go along.
  • Onboarding preparation - Get the access and rules set up for everyone who needs to use the cloud. Make clear guidelines for using the cloud safely and effectively.

Step-by-Step Setup Guide

Set up core cloud infrastructure

Start by setting up the basics like networks, storage, and security in the cloud. Use tools like CloudFormation to make this process automatic.

Integrate CI/CD pipeline

Link your code storage (like GitHub) to a system that automatically builds, tests, and deploys your code (like AWS CodePipeline). Use tools like Ansible and Terraform to manage how your cloud setup changes.

Incorporate monitoring/observability

Put monitoring software on your cloud resources to keep an eye on things. Use CloudWatch to track important info like how much CPU you're using or if there are errors. Set up alerts to keep everyone informed.

Optimize for security/compliance

Make sure your data and resources are locked down tight. Turn on encryption and limit who can access what. Use cloud security tools like AWS GuardDuty to stay safe.

Promote collaboration

Help everyone work together smoothly by setting up code storage, tracking systems, and chat platforms. Keep everything documented and automate what you can to make life easier.

Continuously improve

Keep an eye on how you're using the cloud to save money and improve performance. Always be on the lookout for ways to make things better, whether it's through automation or new approaches to your setup.

Key Cloud Platforms for DevOps

Cloud platforms like AWS, Azure, and Google Cloud give you the tools you need for DevOps, making it easier to work on software projects. They come with built-in services for automating tasks, keeping an eye on your software, and helping teams work better together.

Cloud Platform DevOps Capabilities

Here's a quick look at what AWS, Azure, and Google Cloud offer for DevOps and what makes them stand out:

Platform Core DevOps Services Key Capabilities
AWS CodeCommit, CodeBuild, CodeDeploy, CodePipeline CI/CD pipelines, managing software versions
Azure DevOps Azure Repos, Azure Pipelines, Azure Boards, Azure Test Plans, Azure Artifacts Planning, storing code, automating builds and updates, testing, managing dependencies
Google Cloud Cloud Build, Cloud Deploy, Artifact Registry, Stackdriver Building software, updating it, storing build parts, keeping an eye on things

AWS has tools like:

  • CodeCommit for saving your code safely
  • CodeBuild and CodeDeploy for automating how you build and send out your software
  • CodePipeline for managing the whole process from start to finish

Azure DevOps helps with:

  • Azure Repos for keeping track of code changes
  • Azure Pipelines for automating builds and updates
  • Azure Boards for planning your work
  • Azure Test Plans and Azure Artifacts for testing and managing the bits and pieces your software needs

Google Cloud provides:

  • Cloud Build for making your software
  • Cloud Deploy for managing how you release it
  • Artifact Registry for storing parts of your build
  • Stackdriver for watching over your software and how it's running

Evaluation Criteria

When picking a cloud platform for DevOps, think about:

  • Integration - How well do the services work together and with other tools?
  • Automation - What tools do they have ready to use for automating tasks?
  • Collaboration - Are there tools for planning and sharing work?
  • Compliance - Can you control who does what and keep track of actions?
  • Support - How good is their help and information when you need it?

Choosing the right platform means looking at what each one offers and trying them out to see which one fits your project best. Cloud platforms aim to make your job easier by providing the tools you need, so you can focus on making great software.

Making DevOps Better with Cloud Services

Making CI/CD Workflows Smoother

Cloud services help us improve how we put together and send out software. Here's how they do it:

  • AWS CodeBuild lets us automatically prepare, test, and package our apps whenever there's a change in our code. It can handle big workloads by adjusting its size.
  • AWS Lambda and Google Cloud Functions let us run tests and other tasks without setting up servers, which saves time.
  • Google Cloud Build helps us make Docker containers and Kubernetes setups from our code. It then automatically moves these images to Container Registry and sets them up in Kubernetes Engine.
  • Azure Pipelines automates the process of building, testing, and deploying to any platform or cloud. It connects to where our code lives and works well with many tools.
  • Google Cloud Deploy manages how we release container images in different environments. It lets us update slowly, split traffic, and go back to previous versions if needed.
  • AWS AppRunner quickly launches web applications and APIs that are stored in containers. It's a service that automatically handles the setup and size adjustments for us.

These cloud services make it easier and faster to build, test, integrate, and deploy applications while keeping things simple.

Better Monitoring and Feedback

Cloud services also offer tools for keeping an eye on our applications and getting feedback:

  • AWS CloudWatch tracks metrics, logs, and events in real-time. We can set alarms to let us know when something needs our attention.

  • Google Stackdriver brings together information from Google Cloud and AWS to help us see how things are running. It gives us metrics, dashboards, alerts, and log analysis.

  • Azure Monitor provides tools for tracking metrics, logs, and more. With Log Analytics, we can dig deeper into our monitoring data.

  • Datadog works with cloud platforms to gather metrics, events, and logs in one place. It comes with ready-to-use dashboards that show us how our cloud services are doing.

  • Splunk can take in all kinds of monitoring data and help us find patterns. This makes it quicker to respond when there's an issue.

  • Honeycomb is great for tracing and looking at specific events. It helps us understand how requests move through our services and where delays might happen.

These monitoring tools give our development teams a better view of our applications. This way, we can make improvements quickly and fix problems before our customers notice.

CloudSecOps: Integrating Security into Cloud DevOps

Importance of Security in Cloud DevOps

When we use cloud-based DevOps, keeping things secure is super important. The cloud's open and changing nature can bring up new risks if we're not careful about security:

  • Because the cloud is so accessible, it's easier for unwanted access to happen.
  • With things constantly changing in the cloud, it's tough to keep security settings up to date.
  • The cloud's shared responsibility model can make it unclear who's in charge of what.
  • Simple mistakes in setting things up can lead to big security problems.

To keep risks low, it's essential to make security a big part of DevOps culture, processes, and tools. This is called "CloudSecOps". The idea is to include security checks, watching over systems, and managing rules right into the continuous integration and continuous delivery (CI/CD) pipelines and when setting up the cloud.

Best Practices for CloudSecOps

Here are some main ways to add security into cloud DevOps:

Infrastructure Security

  • Use tools like Terraform to make and manage secure setups automatically.
  • Check your setup scripts for security issues with tools like Checkov or TfSec.
  • Make sure cloud stuff like Amazon EC2 or Amazon VPC is set up safely by turning off things you don't need, encrypting data, and limiting who can get in.

CI/CD Pipeline Security

  • Check for security problems in the software you're building using tools like Snyk or Black Duck.
  • Make sure your CI/CD pipelines can stop if they find security issues.
  • Automatically fix security problems when they're found.

Cloud Monitoring & Logging

  • Use cloud monitoring tools to keep an eye on logs, events, and what's happening in your systems.
  • Set up alerts for any weird activity or security problems.
  • Regularly look for threats on purpose to stay ahead.

Access Governance

  • Use tools like AWS IAM to manage who and what can access your cloud stuff.
  • Make sure everyone has only the access they need and keep things separate.
  • Change keys and passwords often without having to do it manually.

Compliance Automation

  • Turn compliance rules into something your tools can understand using OPA or Forseti.
  • Regularly check your cloud setups against security standards with tools like Security Hub.
  • Keep track of your compliance status across different cloud areas.

By making security part of your DevOps tools and workflows, CloudSecOps helps you move fast without taking on too much risk.


DevOps as a Service (DaaS)

Understanding DaaS

DevOps as a Service (DaaS) is when cloud platforms give you all the DevOps tools and ways of working you need in one package. Instead of picking and choosing different tools, DaaS brings everything together in one place.

Here's what DaaS includes:

  • Integrated tools - Everything from where you keep your code, to building it, testing it, and putting it live, all in one spot.
  • Pre-configured pipelines - Ready-to-go setups for getting your software out there without the hassle.
  • Cloud delivery - DaaS is run on the cloud, so you don't have to worry about the techy stuff underneath.
  • Usage-based pricing - You only pay for what you use, which can save you money.

DaaS makes it easier for teams to use powerful DevOps features without the trouble of mixing and matching tools or keeping servers running.

DaaS Benefits

Using DevOps as a service has lots of perks:

  • Simplicity - You don't have to deal with setting up or looking after a bunch of different tools. This makes things much easier to manage.
  • Agility - With everything set up for you, you can get your CI/CD (continuous integration/continuous delivery) going faster.
  • Flexibility - Use only what you need and change things up as you go. Easy to add or drop services.
  • Collaboration - Having all the tools in one place helps teams work together better and see what's going on.
  • Cost savings - There are no big costs to start, and you can keep your spending in check with pay-as-you-go.
  • Innovation - Teams can spend more time making great software instead of fixing or managing tools.
  • Reliability - The platform takes care of the tech stuff, making everything more stable.

With everything ready to go, DaaS lets developers make better software quicker. This means businesses can do more with their software, faster.

Overcoming Challenges in Cloud DevOps

Common Challenges

Moving to cloud DevOps isn't always easy. Here's why:

  • Legacy system integration - It can be tough to connect old systems to new cloud setups. Sometimes, you need to make changes to get everything working together.
  • Lack of cloud and DevOps skills - Not everyone knows how to use cloud platforms or the best ways to do DevOps.
  • Fragmented visibility - When you're using lots of different cloud services, it's hard to see everything in one place.
  • Cultural resistance - Some people might not be ready to jump into using cloud and DevOps.

Strategies to Overcome Challenges

Here's how you can deal with these issues:

Legacy system integration

  • Move systems over bit by bit instead of all at once.
  • Use tools like AWS Database Migration Service to help.
  • Put old apps into containers to make moving them easier.

Lack of cloud and DevOps skills

  • Teach your team about cloud platforms and the basics of DevOps.
  • Try starting with small projects to learn by doing.
  • Get help from experts who know a lot about cloud and DevOps.

Fragmented visibility

  • Use tools like Datadog to keep an eye on everything in one place.
  • Set up one system for all your logs with AWS CloudWatch.
  • Make dashboards that show you what's going on with your cloud setup.

Cultural resistance

  • Show how the new workflows save time and money.
  • Get everyone involved in making plans.
  • Start with small projects to show how well it works.
  • Mix teams up so they have people who know about development, operations, and cloud stuff.

Taking small steps can make moving to cloud DevOps smoother. The main thing is to show how it helps right away, so people feel good about trying more. With the right training and some wins, everyone will start to see the benefits.

Case Studies: Success Stories of Cloud DevOps

Cloud DevOps brings together cloud computing and DevOps practices to help companies create software faster and better. Here are some examples of how companies have benefited from this approach:

Financial Services Company Cuts Release Times by 75%

A big financial company used to take a long time to release new software, which made it hard for them to keep up with competitors. By using cloud DevOps on AWS, they automated their testing and deployments with CI/CD pipelines. This change allowed them to update their software up to 4 times a day instead of every two weeks. This faster pace helped them stay ahead in their market.

Key Results:

  • Software updates are 75% faster
  • They can now update software 4 times a day
  • They're innovating faster than before

Startup Scales to Millions of Users with Cloud DevOps

A startup with a mobile learning app was quickly gaining users, jumping from 100,000 to 1 million in just 6 months. With such a small team, they were struggling to keep up. By using Google Cloud Platform's tools like App Engine and Cloud Build, they managed to automate the process of scaling, building, testing, and deploying their app. This helped their team of 5 manage a user base that grew to over 5 million, all while keeping the app running smoothly.

Key Results:

  • Grew to 5 million users with just a 5-person team
  • App automatically adjusted to user demand
  • Continuous integration and delivery kept the app's quality high

Enterprise Company Cuts Cloud Costs $460K/Year

A big company wanted to spend less on their cloud services after moving to Azure. By using Azure Cost Management, they saw where they were spending too much and made adjustments, like turning off resources when not in use. They also automated some of their development and testing processes to reduce waste. These changes helped them cut their cloud spending by $460K in one year and made their software updates faster.

Key Results:

  • Saved $460K on their cloud bill in one year
  • Reduced cloud costs by 38%
  • They started updating their software more quickly

These stories show that cloud DevOps can help both small teams and large companies save money, speed up their work, and better meet the needs of their customers.

Cloud DevOps keeps changing to help teams make, release, and look after apps better and faster. Here are some important trends that are shaping where Cloud DevOps is headed:


GitOps is a way to manage everything about your infrastructure and apps just using Git. Here's how it works:

  • You say what you want your system to look like with code in a Git repository. This is the main guide.
  • Automated agents make sure the real state matches what's in Git. If something's off, they fix it.
  • Making changes follows the usual Git steps: make a branch, review, test, merge, and move to production.

The perks include better teamwork, keeping track of changes, following rules, and fixing things when they go wrong. As managing infrastructure gets more complex, GitOps offers a clearer way to handle it.

Progressive Delivery

Progressive delivery methods like canary deployments, feature flags, and blue-green deployments help lower the risk when making changes:

  • Canary deployments - First, show new changes to just a few users. If things go well, show it to more people.
  • Feature flags - Start new features for some users first, then let more people try them using flags.
  • Blue-green deployments - Move users from the old (blue) setup to the new (green) one. It's easy to go back if needed.

These ways let you test and roll out changes bit by bit. Progressive delivery is key for safely and quickly checking changes on a big scale.

ML-Driven Development

Machine learning can help with different parts of making software:

  • Making test cases automatically
  • Guessing when builds might fail
  • Suggesting code fixes
  • Finding security issues or bad patterns
  • Predicting problems in production

As machine learning gets better, it will help developers do more and speed up how fast we can release new updates with constant checks and feedback.

Event-Driven Architectures

Many Cloud DevOps tools now react to events, such as:

  • Changes in code
  • Updates to infrastructure
  • Alerts from apps
  • Actions from users

Starting workflows automatically when these events happen means we can develop features faster and change systems more easily. As tools connect more, event-driven systems will be everywhere.

Low-Code/No-Code Cloud Platforms

Low-code/no-code cloud platforms make it quicker to develop apps and let people without much technical knowledge join in. They use visual interfaces and ready-made parts to include cloud infrastructure, databases, security, DevOps workflows, and more in simple drag-and-drop solutions.

While they might not take over from detailed custom engineering, low-code/no-code solutions open up cloud app creation to more people - making Cloud DevOps even more exciting.


Using cloud software for DevOps helps teams work smarter and faster. Here's what it brings to the table:

  • Quick innovation by setting up what you need fast, automating how we get software out, and constantly improving.
  • Better teamwork and getting things done with tools that help with building, testing, and releasing software all in one place.
  • Handling busy times better so your website or app can deal with lots of visitors without crashing.
  • Being able to change quickly when you need to because of what your customers say or what's happening in the market.
  • Saving money by only paying for the computer resources you use and cutting down on extra work.

But, to really make the most of these benefits, it's important for teams to:

  • Work together well and focus on automating tasks, releasing updates often, and designing with the user in mind.
  • Use code to set up and manage cloud stuff so everything runs smoothly.
  • Put in place CI/CD pipelines which means testing and delivering updates automatically and carefully.
  • Make security a big part of everything by checking for compliance and controlling who has access to what.
  • Keep a close eye on how things are working to make sure everything is running as it should.
  • Help everyone get better at using Cloud and DevOps by providing training and support.

When teams use cloud platforms and DevOps the right way, they can create better software more quickly and at a lower cost. A cloud setup that's good for DevOps is really the way forward for making apps.

Which cloud platform can be used for DevOps?

Big cloud services like AWS, Azure, and Google Cloud all have tools to help with DevOps. AWS has things like CodeCommit and CodeBuild for setting up automated workflows. Azure DevOps has its own set of tools for managing code and automating tasks. Google Cloud offers Cloud Build and Cloud Deploy for building and releasing software. The best choice depends on your project's needs.

Is cloud environment mandatory in DevOps?

No, you don't need a cloud environment to use DevOps. DevOps methods like automated workflows, managing infrastructure as code, and using monitoring tools can also be applied in traditional, on-site environments. However, cloud platforms offer ready-to-use services that make it easier to start with DevOps, providing a wide range of tools for automation and collaboration.

What is cloud computing in DevOps?

Cloud computing gives you the infrastructure and tools for key DevOps practices, such as:

  • Automatically setting up and removing environments
  • Quickly adjusting to more or fewer users
  • Using code to manage servers and services
  • Accessing built-in features for automated workflows, keeping an eye on systems, and keeping things secure

Cloud lets DevOps teams focus on creating and delivering software without worrying about the underlying tech. It supports teamwork, flexibility, and automation.

What are DevOps environments?

DevOps environments are the combination of tools and practices that support DevOps work. This includes:

  • Automation tools like Terraform and Ansible
  • Systems for automated workflows
  • Tools for monitoring and checking logs
  • Platforms for team communication
  • Cloud services

The aim is to make delivering software smoother by integrating tools, automating repetitive tasks, and encouraging teams to work together across different roles.

Related posts