DevOps is a combination of cultural philosophies, practices, and tools that increase your organization’s ability to deliver applications and services at speed.

That is, it allows you to develop and improve products faster compared to organizations that use traditional software development and infrastructure management processes.

What happens under a DevOps model?

DevOps teams are no longer “siloed.” Sometimes, the two teams merge into one, where engineers work across the entire application lifecycle, from development and testing to deployment and operations. In this way, they develop a variety of skills not limited to a single function.

In some DevOps models, QA and security teams are also more integrated with development and operations and are involved throughout the application lifecycle.

Teams use practices to automate processes that had previously been manual and time-consuming. They use a stack of technology and tools that help them operate and improve applications quickly and reliably.

In addition, these tools help engineers independently perform tasks that would normally have required the help of other teams (such as deploying code or provisioning infrastructure), further increasing the speed of the team.

What DevOps brings to your organization.

1.- Speed

Advance and innovate for your customers faster, adapting better to changes in markets and becoming more effective in achieving business results.

The DevOps model enables your development and operations teams to achieve these outcomes. For example, microservices and continuous delivery allow teams to take ownership of services and update them faster.

2.- Fast delivery

Increase the frequency and pace of releases to innovate and improve your product faster.

The faster you release new features and fix bugs, the faster you can respond to customer needs and strengthen a competitive advantage. Continuous integration and continuous delivery are practices that automate the software publishing process, from creation to deployment.

3.- Reliability

Ensure the quality of application updates and infrastructure changes so you can deliver faster and reliably while delivering a positive experience to end users.

Use continuous integration and delivery practices to verify that every change is functional and secure. Monitoring and logging practices help keep you informed of performance in real-time.

4.- Scaling

Operate and manage your infrastructure and development processes at scale.

Automation and consistency help you manage complex or changing systems effectively with less risk. For example, infrastructure as code helps you manage your development, test, and production environments more repeatably and efficiently.

5.- Improved collaboration

More effective teams with a DevOps cultural model.

Developers and operations teams collaborate closely, share many responsibilities, and combine their workflows. This reduces inefficiencies and saves time. For example, the transfer times between developers and operations are reduced, when you write code that takes into account the environment in which it runs.

6.- Security

Move quickly while retaining control and maintaining compliance.

You can adopt a DevOps model without sacrificing security by using automated compliance policies, granular controls, and configuration management techniques. For example, when you use infrastructure as code and policy as code, you can define and monitor compliance at scale.

With more than 20 years of experience in digital transformation solutions in Latin America, at Itera we help your organization integrate its development and operation processes so that they advance at high speed.

Contact one of our experts!

seguridad@iteraprocess.com

Without the necessary technology and sufficient technical skills, it is impossible to successfully complete a project. Much less so when you lack the right cloud services to make the most of its benefits.

Because designing new applications or modernizing them involves adding technology and experience focused on quality and innovation. Value is authentic when the development of a software project advances in a timely manner until it becomes a functional reality.

Using technologies such as Python, Java, .Net, and R, as well as cloud platforms from AWS, Google and Azure, we create the right solution with the right tools and the necessary knowledge that also covers topics such as Big Data, DevOps and Mobile developments. Constantly executing continuous improvement and service level measurements.

THE DIFFERENCE IS IN THE DETAILS

If we dare to place a sacred component within a technological project, it is shaped by the business objectives of the organizations, since they define the requirements of the solution. Based on this and best practices, we establish the strategy, its design platform and corresponding estimates.

A process where application maintenance is a core part of our service as a software factory, also providing value with our experience through a strategy based on Quick Wins and focused on the company’s vision.

NATURAL FIT

The needs of the organization define the deployment of digital services. Whether with agile, traditional or hybrid frameworks and operating models, continuous value delivery is experienced hand in hand with operational continuity assured in the face of any contingency. All this with experience in IT governance and making use of best practices such as ISO, ITIL, COBIT, TOGAF, Scrum, CMM and DevOps.

The same is true if the infrastructure and its components are located on-premise or in the cloud, the services work optimally. And, when required, we provide database or bulk migration services, infrastructure and applications to move them to the cloud – whether hybrid or multi-cloud – in order to acquire analytics, artificial intelligence or chatbot functionalities.

THE HUMAN; TECHNOLOGICAL KEY

Each part of the process is executed in a scenario integrated by the experience and knowledge of our architects and business analysts, as well as specialists in security, Data Science and Machine Learning. It also makes use of Business Data Driven so that, together with the organization, decisions can be made based on reliable and timely information services to analyze, visualize and predict business results.

PURPOSEFUL ADAPTABILITY

Once the software is launched, its operation sets the tone for continuous improvement. Stage in which maintenance and development problems are resolved. This allows us to detect opportunities that generate proposals that add to the business.

By assigning the right talent with extensive experience in PMO, IT governance, supplier management and quality assurance, we carry out the validation process, which is present in the periodic deliverables that make up the project. In this way we achieve adequate planning, validating each aspect for the fulfillment of processes.

This way we get to the point where a tangible deliverable can be taken by the testing team for execution. The result is a quality and functional deliverable. A result that goes beyond good intentions. A result that arises from experience in various commercial, industrial and governmental organizations.

With specialized knowledge and adaptable work schemes, at Itera we make the software happen successfully in your organization, in an integrated way and without operational interruptions. This is how our solution machinery is activated in each project. Because in reality, we don’t know how to do it any other way.

They are a combination of cultural philosophies, practices, and tools that increase an organization’s ability to deliver applications and services at speed—developing and improving products faster than organizations that use traditional software development and infrastructure management processes. This speed allows organizations to better serve their customers and compete more effectively in the marketplace.

What is DevOps?
Under a DevOps model, development and operations teams are no longer “siloed.” Sometimes the two teams merge into one, where engineers work across the entire application lifecycle, from development and testing to deployment and operations, and develop a variety of skills not limited to a single function.

In some DevOps models, QA and security teams are also more integrated with development and operations and are involved throughout the application lifecycle. When security is the priority of all DevOps members, it is sometimes referred to as Dev Security Ops.

Teams use practices to automate processes that had previously been manual and time-consuming. They use a stack of technology and tools that help them operate and improve applications quickly and reliably. In addition, these tools help engineers independently perform tasks that would normally have required the help of other teams (e.g., deploying code or provisioning infrastructure), further increasing the speed of the team.

Benefits of DevOps

Velocity
Move faster and innovate for your customers faster, better adapt to changing markets, and become more effective in achieving business outcomes. The DevOps model enables your development and operations teams to achieve these outcomes. For example, microservices and continuous delivery allow teams to take ownership of services and update them faster.

Fast delivery
Increase the frequency and pace of releases to innovate and improve your product faster. The faster you release new features and fix bugs, the faster you can respond to customer needs and develop a competitive advantage. Continuous integration and continuous delivery are practices that automate the software publishing process, from creation to deployment.

Reliability
Ensure the quality of application updates and infrastructure changes so you can reliably deliver faster while delivering a positive experience for end users. Use practices such as continuous integration and continuous delivery to verify that every change is functional and secure. Monitoring and logging practices help you stay informed of performance in real-time.

Scaling
Operate and manage your infrastructure and development processes at scale. Automation and consistency help you manage complex or changing systems effectively with less risk. For example, infrastructure as code helps you manage your development, test, and production environments more repeatably and effectively.

Enhanced collaboration
Develop more effective teams with a DevOps cultural model, which emphasizes values such as ownership and responsibility. Developers and operations teams collaborate closely, share many responsibilities, and combine their workflows. This reduces inefficiencies and saves time (e.g., reduced transfer times between developers and operations, when writing code that takes into account the environment in which it runs).

Safety
Move quickly while retaining control and maintaining compliance. You can adopt a DevOps model without sacrificing security by using automated compliance policies, granular controls, and configuration management techniques. For example, when you use infrastructure as code and policy as code, you can define and monitor compliance at scale.

Reference.
https://aws.amazon.com/devops/what-is-devops/?nc1=h_ls