Benefits of DevOps

Since the DevOps concept was introduced a decade ago, more and more companies are incorporating this software engineering into their digital strategy. This system is based on the cooperation of software development and operations teams to streamline the production processes of digital products and services, improving quality and lowering costs.

Assimilation of a work philosophy such as DevOps can be a complex process since it requires IT departments' involvement, communication, and time to learn how to use the tools focused on collaborative work.

However, all this effort can bring with it a series of direct or indirect benefits, which will considerably improve the performance of companies. Therefore, we will explore in detail the ten advantages of implementing DevOps.

  • Increase profitability
    The number of businesses that demand digital products increases significantly every year. DevOps improves productivity thanks to the progressive optimization of work, which allows you to continuously start new projects, covering a greater market share.
    With the continuous Integration and delivery model, the time-to-market is shortened since the period from the definition of the requirements of a procedure, and its subsequent versions, to the deployment of the product, is reduced.
    The end user will have a basic operative version available in less time, with which he can evaluate the result.
  • Improve communication
    Cooperation and understanding between the different departments is the key to the DevOps system; many tools are designed to facilitate communication.
    For their part, technical tools allow exchanging information about the workflow in both directions. Development members can follow bug monitoring and control, while the systems administration team will directly access version control and source code.
    This generates dynamics of constant communication and feedback, improving the rapport between the teams as they have a common goal.
  • Post more and more frequently
    Through the practice of Continuous Integration, developers can add code segments to a central repository continuously. So the code gets complicated regularly, and tests are run to detect possible errors from the early stages.
    This allows the implementation of a continuous delivery system with which the tasks to deliver stable versions are automated, applying quality control and regression tests that confirm that the modifications do not alter the integrity of the software.
    As a result, software deployment rates are increased; we make a proven product available to the end user with greater agility, less time, and more frequency.
  • Better quality software
    Software quality must be measured by compliance with the requested requirements and by the number of errors it may contain.
    Therefore, from the earliest stages of the creation of the application to the deployment of the software, it is continuously verified, through the tests mentioned above, that there are no possible defects that harm the development of the code or hinder the use of the software.
    It is always possible that an error occurs. Still, thanks to the fact that the fluidity of information is another of the DevOps advantages, these incidents can be resolved more quickly.
    The end user receives a stable product and continuous and effective support from the first moment, generating a satisfactory user experience.
  • Scalability
    The task of scaling an application benefits from the automation of some processes, from the microservices architecture provided by cloud computing, and from the programmable infrastructure to generate programming environments.
    The DevOps system provides the flexibility to add new code. This allows adapting to changing circumstances, which require the expansion of the software in any sense, without risking all production. It is possible to implement parallel versions, which satisfy the different demands.
  • Increased security
    The DevOps development systems themselves facilitate the generation of secure applications. Thanks to the automation of code control processes, human participation that does not provide added value are reduced, minimizing the possibility of error.
    Through Security by Design, the control of threats and vulnerabilities is no longer relegated to the code deployment phases; now, the specialized cyber security departments are integrated into the process from the moment the requirements are obtained, at the beginning of the product life cycle Software.
    Threat models are made based on security standards, with which the development team can create secure code, avoiding delays caused by late detection of vulnerabilities. This gives continuity to production, and short periods are maintained without sacrificing safety.
  • Continuous monitoring of the application
    The objective is no longer to deliver a closed product to the client and ignore it. Another advantage of DevOps is that, after the production phase, we continue to have control of the software. Applications do not have a defined end of life, so monitoring and logging actions are continuous.
    On the one hand, effective coverage is given to possible incidents; we can update the security of the software as soon as new threats appear. In addition, we give a fast solution to problems that keeps the client satisfied. New versions continue to be developed as scheduled, and scalability is planned. On the other hand, we prevent the application from being misused when delivering the finished package in a way that makes us lose credibility as a company, which will negatively affect our market share.
  • Productivity growth
    The DevOps system is based on performance and collaboration, avoiding bureaucratic obstacles and rigid hierarchies. Employees begin to be aware of how their work affects the work as a full, better understanding of what their contribution should be, and so they begin to feel more valued. This makes them more involved in the development process.
    The worker is freed from certain repetitive loads that are now automated and can focus his efforts on his work area. Therefore, he can unleash his full potential by increasing productivity.
  • Improvement of the DevOps methodology
    DevOps is not a closed system; it allows the assimilation of new tools that improve communication and efficiency. The continuous technological advances demand a permanent innovation that allows maintaining the standard of agility.
    The work teams are imbued with the philosophy of communication and cooperation, making them participants in the entire process. This motivates them to search autonomously for methods, workflows, and processes that allow the software to be deployed faster and with greater quality.
  • Cost reduction
    The direct result of increased worker efficiencies, increased productivity, and faster delivery times for a digital product, and overall process agility is reduced expenses. According to the experience subscribed by some companies that work with DevOps, the increase in benefits has allowed to increase hiring or avoid staff reductions.
    Based on the above, this series of DevOps advantages should encourage technology companies to transition to this collaborative system. It must be taken into account that the difficulty of implementing DevOps will also depend on the size of each company.

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How DevOps can benefit from AI/ML

In DevOps, artificial intelligence (AI) and machine learning (ML) can liberate humans from concentrating on routine tasks. One aspect of DevOps is the automation of repeatable, routine actions, and AI and ML can perform these activities more efficiently to improve team and business performance.

Algorithms exist that can perform many operations and procedures, allowing DevOps to execute their part effectively. Below we look at how DevOps engineers can use AI and ML to their advantage.

  • Artificial Intelligence, Machine Learning Driving DevOps Evolution
    Businesses are under great pressure to meet ever-changing customer demands, and many adopt DevOps to improve their performance to some degree. However, it can be difficult for many companies to use AI and ML due to the complexity involved. A creative mindset may be required to recognize any benefits of AI and DevOps.
    The AI/ML adoption curve can be relatively slow. Only 27 percent of CIOs surveyed by Service Now for its report, "The Global Point of View," have hired employees with machine learning skills. But the fact is that DevOps experts can have a lot to gain by embracing even the most basic features of AI and ML. The same survey found that around 85 percent of C-level executives believe that AI/ML can offer substantial value in terms of accuracy and speed in decision-making, which will lead to better profitability for the company.
    Tracking and orchestrating in a DevOps environment requires effort due to the complexity involved in the distributed application, which traditionally made it difficult for the team to manage and resolve customer issues. Before the evolution of AI and ML, DevOps team members could spend hundreds of hours and vast resources to identify a point within an Exabyte of data. To solve these problems, the future of DevOps is powered by artificial intelligence, helping to manage the immense capacity of data and computing in day-to-day operations. AI has the potential to become the primary tool for evaluating, computing, and making decisions in DevOps.
  • Influence of AI in DevOps
    AI can change how DevOps teams develop, deliver, deploy, and orchestrate applications to improve performance and drive DevOps business operations. There are three common ways through which AI can influence DevOps.
  • Improved data accessibility
    The lack of unregulated accessibility to data is a critical concern for DevOps teams, which AI can address by freeing up data from its formal storage, which is necessary for big data implementations. AI can collect data from multiple sources and prepare it for a reliable and robust assessment.
  • Discover innovation
    It is crucial to optimize the return on your current software investment while developing and implementing new technologies to guarantee corporate success today and in the future. Challenges to address to compete in a Hybrid IT world include DevOps, Security, Risk Management, and Predictive Analytics.
  • Increased deployment efficiency
    AI contributes to self-governing systems, allowing teams to move from a rules-based human management system. This helps address the complexity of evaluating human agents to improve efficiency.
  • Effective use of resources
    AI provides a lot of proficiency required to automate routine and repeatable tasks, which minimizes the complexity of managing resources to some extent.



DevOps has emerged as the standard industry approach as Development and IT Ops teams strive to be more productive, shortening their time to market and boosting product support. Many sources depict Development and Operations operating in perfect harmony, but how do we get there? Where should we begin?

Starting with the end in mind is necessary. As technology firms, our goal is to provide consumers with the tools they require as quickly as possible and to iterate continuously in response to their input. Customers can be satisfied more quickly the quicker release development moves from concept to code. DevOps has received a lot of attention, but at its core, it aims to improve collaboration and automation between development and operations so that teams can provide the highest-quality releases quickly to clients.

The ideal approach to do this, in our opinion, is to enter a DevOps flow that is process-focused and supported by tools like those provided by Atlassian. It has been divided into 4 stages. Try these on for size.

Phase 1: go agile

You must alter the way you oversee teamwork if you want to reap the true benefits of DevOps. Work moves through the process more quickly as you divide your needs into smaller, specific user stories. You can provide consumers with the functionality they require and utilize their input to iterate the next release by having the structure, procedures, and processes in place to accommodate smaller chunks of work.

Here are some suggestions to help your team get there.

  • Educate: Get your team up to speed on the fundamentals of Atlassian's Agile resources and how to practice Agile with the Atlassian tools (for Product Owners too!)
  • Get up, stand up: Stand-ups alone won't make you agile, but they're an excellent method to help teams adopt an agile attitude. Every day, spend ten minutes with your team to get status reports on what each person accomplished the day before, what they plan to accomplish today, and any potential roadblocks. The core of DevOps is made possible by more open and responsive team collaboration.
  • Iterate on everything: Agile project management is impossible when dealing with significant waterfall projects. Divide your tasks into smaller sprints so that you can always reprioritize and make necessary adjustments. Find the planning spreadsheets in your department that have such aspirational due dates, create a backlog, and then start sprinting. Agile will soon start to be used by other teams, including those in software, operations, and even marketing!
  • Agile boards: Track and visualize it on a Jira Software board as you start planning and carrying out tasks in sprints. Send the link to the board to keep everyone updated instead of doing those awful status meetings. Additionally, hang some wallboards across the office so that everyone can see how well your team is doing.

When your software teams are producing stories at a consistent rate during sprints, you'll know you're a lean, mean, agile machine. As soon as the velocity stabilizes, you can accelerate.

Phase 2: get with Gitflow

Git and Gitflow are excellent tools for assisting development teams in boosting velocity. You must be able to effectively cooperate on your code base while you work on smaller stories to avoid tripping over one another. The slow-moving version control systems of the past won't be able to keep up with these lightning-fast development teams. Teams may create user stories and integrate them into the code base using Bitbucket and the underlying Git technology without having to waste time dealing with unpleasant versioning problems and expensive code conflicts.

  • Start with the basics: With Atlassian's Git Tutorials and the Git Getting Started guidelines, start by learning (all things) about how to efficiently manage your branches and create high-quality code. Share them with your team so that everyone is aware of the differences between a commit and a pull request and is on the same page.
  • Move to Git: Get your team and managers on board with Git if you haven't yet done so by explaining its advantages and how it will help you ship more code. Once people are persuaded, explain how Bitbucket is the Git solution for business teams and how it supports pull requests, branching techniques, permissions, and scalability. See how we helped Splunk adopt Git and quadrupled the number of code reviews finished when it comes time to migrate all that code.
  • Start branching: It's time to start branching now that the resources are available! To manage branches better, become more familiar with several common routines. Utilize those pull requests to improve the quality of your code as you go. Your Dev team will eventually be running on full Gitflow, and your Ops teams will adore the dedicated branches.
  • Automate: You can automatically update Jira issues based on what's happening in Bitbucket thanks to the fantastic integration between Bitbucket and Jira Software.

Phase 3: CI/ CD

The key handoff between Dev and Ops is defined in the next stage. You will need to deploy more frequently to bring those features to our clients when your units of work and code modifications are smaller. As your features come together, you must guarantee quality before sending it to the operations team and production. To successfully ship products, good continuous integration/deployment techniques and Bamboo are essential. The Dev and Ops teams will sleep better at night if bugs and issues are found before they are introduced into production.

  • Learn about Bamboo: Bamboo from Atlassian is the CI/CD solution that enables expert teams to create their CI/CD pipeline for on-premises Atlassian users. Jenkins or other open-source teams might be what you now use, but for professional teams, superior build management and deep integration points make it the best option.
  • Bitbucket Pipelines: If you're an Atlassian cloud user, Bitbucket Pipelines is a new, powerful solution that lets.
  • Integrate with Jira: developers build, test, and deploy directly from Bitbucket. Developers have the power as they can define the environment and tests for their specific branch with YAML file style configuration.
  • Dockerize Everything: Docker and containerization is the latest craze sweeping the IT world as teams look to deploy applications to any environment faster and easier.
  • Automate Testing: Automating testing with tools like Charlotte, QA Symphony, and Zephyr (which integrate with Bamboo and Jira) gives your development team an even more agile edge. Get efficient, high-fidelity testing to expedite the finding and squashing of bugs to ensure your next iteration is the best version.

Phase 4: harmonize with support

Once the story is shipped, the process does not end. Now it's time to keep the product working and collect that vital feedback.

Set up a product feedback service desk in Jira to hear your customers and integrate directly with development teams.

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