DevOps is a set of cultural philosophies, methods, and tools that enhances a company’s ability to deliver applications and services at high velocity—evolving and improving products more quickly than those created by companies using traditional software development and infrastructure management processes. Businesses are better able to satisfy their customers and gain market share as a result of this speed.

Under a DevOps paradigm, teams for development and operations are no longer “siloed.” It is possible to occasionally combine these two teams into a single unit where the engineers work across the whole application lifetime, from development and test to deployment and operations, and build a variety of skills that are not limited to a single position. Just with this quality we can say that DevOps has a huge scope for the years to come in the field of technology.

Quality assurance and security teams may also interact more closely with development and operations throughout the lifecycle of an application under various DevOps models. DevSecOps is a term used to describe a DevOps team where security is everyone’s top priority.

These teams employ procedures to automate slow and manual tasks from the past. They employ a technological stack and tooling that facilitate the speedy and dependable operation and evolution of applications. The use of these tools also enables engineers to autonomously complete tasks (such as provisioning infrastructure or delivering code) that previously required assistance from other teams, which further boosts a team’s velocity.

How to Adopt a DevOps Model?

The shift to DevOps requires adjustments to culture and mindset. The main goal of DevOps is to eliminate boundaries between development and operations, two groups that have traditionally worked in isolation from one another. Even in companies without separate development and operations teams, engineers might handle both duties. The two teams can improve both the dependability of operations and the efficiency of developers by working together on DevOps. They try to stay in touch frequently, increase output, and improve the caliber of the services they provide to customers. By considering the demands of the final customer and how they might help to address those needs, they assume full responsibility for their services, frequently going above and beyond the scope of their declared duties or titles in the past. Teams for quality control and security may also become closely incorporated with these teams. Regardless of their organizational structure, organizations implementing a DevOps model have teams that see the full development and infrastructure lifecycle as a part of their duties.

Organizations may innovate more quickly by automating and optimizing the software development and infrastructure management processes thanks to a few important strategies. With the right tools, the majority of these procedures are completed.

Check out the best DevOps tools used by professionals:

Making minor adjustments a lot of times is a crucial method. For the benefit of their customers, firms grow more swiftly in this way. These upgrades often take place more gradually than the infrequent ones made under standard release practices. When changes are frequent but minimal, each deployment is less hazardous. They make it possible for teams to pinpoint the most recent deployment that caused the fault, which expedites bug repairs. Update frequency and size will vary, but companies utilizing a DevOps strategy deploy updates far more regularly than those using traditional software development methods.

A microservices architecture is another tool that businesses may employ to improve the flexibility and speed of their applications. By separating big, complex systems into small, autonomous projects, the microservices architecture. Applications are divided into a large number of distinct parts, or services, each of which is focused on a particular objective or set of operations and is run independently from its peers and the application as a whole. When each service is partnered with a small, agile team that takes ownership of each service, this design decreases the coordination overhead of updating applications, allowing organizations to move more quickly.

However, the use of microservices in conjunction with a higher release frequency results in a large rise in the number of deployments, which can provide operational difficulties. Therefore, DevOps approaches like continuous integration and continuous delivery address these problems and enable businesses to produce quickly while being secure and dependable. Practices that maintain computer resources’ elasticity and responsiveness to rapid changes include infrastructure automation, infrastructure as code, and configuration management. Engineers can track the performance of infrastructure and applications with the use of monitoring and logging, which enables them to respond to issues promptly.

Together, these procedures aid businesses in providing clients with updates that are more timely and trustworthy. Here is a summary of significant DevOps practices. Before we start discussing the future trends of DevOps here is a Kickstarter project which might interest you.

The Future of DevOps

1. DevOps in the Security Field 

The field of security is peculiar because the more you automate, the higher chances of automating problems too. So all automation being done in this area is intrinsically controlled, and this brings enormous scope for DevOps philosophy.

Implementation of DevOps should ensure the security of the product being developed in production and even in the test environments. This stands as the governance and codes of ethics of DevOps philosophy. DevOps must ensure security protocols that ensure the application’s integrity and conformance with the security policies of the company.

Security is of the utmost importance for any organization today. Data is central to businesses and they want to protect it from any unauthorized access. The data could be either the company’s data or the user’s which the organization does not aim to compromise with. DevOps is also utilized to safeguard the application that is aligned with the terms and conditions of the organization’s policies.

To ensure the safety of the system, the DevOps engineers decipher the potential threats the system is prone to and brainstorm about them. And in order to safeguard the system from threats the engineering focus on creating processes immune to breaches. They invest time in coding and continuous security testing to safeguard the system. Various other measures are also carried forward, such as monitoring and conducting a security development lifecycle (SDL).

2. AI/ML in the DevOps Framework

The cloud-native strategy, microservices architecture, and DevOps methodology have transformed the software development life cycle. With the integration of testing and production environments provided by DevOps, developers can identify issues before apps are launched.

By incorporating AI and ML into the DevOps pipelines, you can execute builds and automation much more successfully with better insights and control. DataOps and AIOps, which stress the use of AI and ML to learn from logs and monitoring metrics in order to drive DevOps in a controlled manner, are replacing DevOps.

Tools that gather data from various monitoring and logging systems, add artificial intelligence to them, and give the engineer more in-depth insights and actionable data include Moogsoft and BigPanda, who are market pioneers in AIOps. Study up on DevOps tools. With AI, DevOps is developing and becoming easier for developers, operations personnel, and DevOps engineers.

As technology advances, AI and ML are bringing about a revolution in the digital sphere. The use of a large volume of data by organizations is made possible by artificial intelligence. The vast amount of data can be easily scanned. The configuration is completed rapidly, minimizing the possibility of human error, which lowers costs and boosts productivity.

In the AI/ML sector, there is a wide range of opportunities for engineers to employ technology to boost task efficiency. DevOps may utilize AI and ML to check the quality, monitor application progress, improve production security, identify vulnerabilities early by running processes or algorithms to prevent process damage, and many other things.

3. Every Business Should Automate

Everything that occurs in the world today does so online. Most businesses are transforming into IT businesses that offer specific services. For instance, booking.com, which once offered travel services but is now an IT business, was a travel agency.

Software is the crucial component that drives sales and commerce for every firm. Automation of software deployment and infrastructure provisioning is essential to all modern enterprises. It is vital for increasing productivity and producing the finest software. In today’s modern businesses, DevOps approaches, therefore, play a crucial role.

Companies are beginning to prioritize software automation because it has several benefits, including a reduction in errors. There are many opportunities for human error when working manually, and those mistakes can slow down the process when time, money, or resources are being used inefficiently. However, automation limits the potential for error while saving time, money, and effort. It also effectively uses available resources, which ultimately boosts team productivity. The automation widens the feedback channels between the operations and development teams. This feature makes it easier to deploy new features, which improves the quality. Through automation, existing systems can be maintained more quickly and new solutions that address problems can be developed more quickly.

Suggested Read: A Beginners Guide To Vagrant Essentials with Devops

4. Container Engineering

More quickly than ever before, container technology is developing and expanding. Containers can be utilized in a variety of ways to offer varied advantages. Applications can be sandboxed in containers for resource and security reasons. Containers for each user or user session are being studied.

This concept opens up an infinite number of possibilities for enhancing user security, system security, and user analytics. Container deployment will become more affordable as containerization technology advances.

Container technology consists of assembling all the components of the software into a single container. And all of the services, from small micro services to big services, are run on one single container. And everything that is needed for a smoother software deployment throughout the network is stored in this container and unit, including codes, libraries, configuration data, etc.

Due to their small weight, these containers can be conveniently deployed throughout systems without adding any additional load. These containers can also be set up on several operating systems. They don’t require various operating systems; instead, they share the same host operating systems. This is yet another benefit of utilizing container technology.

5. Software as a Platform (PaaS)

DevOps techniques have several uses in the expanding industry of platform as a service (PaaS). The days of worrying about creating a full infrastructure for the application are long gone. Nowadays, all that people inquire about is the platform that can host their applications.

In terms of configuration management, continuous security, and containerization, DevOps has several uses in PaaS solutions. Who knows, technology may advance sufficiently in the ensuing years such that programmers would just need to specify a few markers or entry points in their applications, and this alone would be sufficient for the applications to be hosted or deployed independently.

Software as a Platform (PaaS) is a cloud computing model that gives consumers access to a platform as a service. The platforms that are created enable users or organizations to make use of them in order to construct, innovate, develop, or run their applications in accordance with business requirements.

PaaS delivers a browser-based ecosystem. The ability to build a platform for the expansion of one’s business is a highly beneficial aspect. Additionally, this platform can be created utilizing point-and-click software or application programming interface technologies.

More people are embracing PaaS since it offers a structure that enables users to create safe and scalable platforms. The organizations are more agile since the firm can create apps quickly. The technology’s continuous integration and deployment process makes this possible. Azure, AWS, Digital Ocean, Beanstalk, etc. are a few PaaS examples. Just a few clarifications: Windows is also known as Azure. Numerous cloud services are offered by Azure to help with computing, networking, storage, etc. Given the rising demand for Azure specialists, the scope of Azure DevOps is very broad.

Software as a Platform (PaaS) is a cloud computing model that gives consumers access to a platform as a service. The platforms that are created enable users or organizations to make use of them in order to construct, innovate, develop, or run their applications in accordance with business requirements.

A browser-based ecosystem is offered by PaaS. It is a very helpful tool that enables customers to build a foundation for the expansion of their businesses. Additionally, point-and-click tools or application programming interface technology can be used to construct this platform.

PaaS offers a technology that enables customers to create scalable and secure platforms, which increases PaaS acceptance. Organizations are able to develop applications quickly thanks to the business. This is made possible by the technology’s continuous integration and deployment. Azure, AWS, Digital Ocean, Beanstalk, etc. are a few PaaS examples. Just a few examples: Azure, also known as Windows Azure, offers a variety of cloud services that make computing, networking, storage, etc. easier. Given the rising demand for Azure specialists, the scope of Azure DevOps is very broad.

6. Integration of DevOps and Edge Services

The traditional on-premises method is unquestionably changing. The use of Platform as a Service (PaaS), Infrastructure as a Service (IaaS), and Database as a Service (DBaaS) solutions by businesses has increased recently. Given the extensive use of cloud technologies and the widespread acceptance of containerization technologies, DevOps must play a significant part in the integration of all these services that are hosted on diverse platforms.

Public clouds are becoming more well-known and accepted, and because of the cost reductions that they may provide, even established businesses are now switching to cloud-based solutions. Companies now intend to fully automate infrastructure provisioning and management using configuration management tools and container technologies. DevOps has a promising future as a result of this.

7. A Part of Seamless Security Integration Will Be Played by DevOps

The application layer vulnerability is the main cause of security lapses. In order to avoid all of these hazards, businesses are increasingly attempting to embrace a mature and safe software development methodology. Currently, businesses are moving toward a programmatic strategy for application security that integrates security from the very beginning of the software development lifecycle.

Businesses prefer a security strategy that goes beyond only finding and patching security problems. Here, DevOps can be really important. DevOps can offer seamless security integration through the continuous security mindset, enabling development teams to produce secure software code more quickly than before. DevOps continuous security makes sure that tests are carried out throughout the development lifecycle rather than at the conclusion.

To ensure the security of the product before the formal test phase, developers will be able to detect code bugs within the development phase itself.

The security activities are employed to make the system more secure. The systems are vulnerable to a wide range of possible threats. Numerous operations are carried out by engineers to look for system dangers or breaches. These operating systems can protect the data’s security.

The engineers’ adoption of secure cultures strengthens the system’s confidence. This gives vulnerability management additional control. Additionally, security management can be incorporated into the software’s various stages.

8. Work as a Code

The handshake between development and operations is still a laborious and manual process. The DevOps methodology is anticipated to place a strong emphasis on “jobs-as-code” in the software delivery lifecycle in 2019. This could serve as instrumentation for coding automation. The time gap between development and operations will be shortened by using this strategy in conjunction with the Infrastructure as a Code methodology and CI/CD pipelines.

Job as a Code adds new elements to the DevOps technology, allowing for greater integration of version control, test control, and maintenance control. This describes how the applications operate when they are automated. This essentially specifies “Automation rules.”

Management of the warehouse, client billing, and other similar tasks are some instances of jobs as codes. These guidelines specify how and what to run, how to recognize success or failure, and how to respond to failure. In the past, there was no opportunity to spot technological gaps during the development stage, which resulted in wasted work, increased expenses, and additional time that decreased the team’s productivity.

But now that coding technology has a role, developers may use it in a continuous process to test or run apps as they are being built. Consistency is added to the application development, testing, and security processes using Control M or AI. It improves efficiency, reduces waiting time, automates scheduling, etc.

9. Configuration Management Will Be Overridden by Containers

2019 will see the impact of container orchestration solutions on the DevOps industry. Because of their strength, container orchestration technologies have the potential to displace popular configuration management software like Ansible, Chef, and Puppet.

Currently, Kubernetes is the most well-known and commonly used container orchestration technology, but there are still a lot more on the horizon. Container orchestration systems can reduce the complexity of infrastructure provisioning and many of its difficulties when used properly.

This new approach of Infrastructure as Code will need to be embraced by the DevOps community. In order to reduce the requirement for software setups, the industry will also endeavor to standardize the frameworks for software versions. For instance, businesses can publish various docker images of the same program with various configurations based on consumer demands. As a result, there will be less demand for configuration management tools.

DevOps has a very bright future, and many more businesses are going to adopt this approach. With the introduction of new tools and technology, DevOps techniques are also changing. In this post, we hope to have covered several concepts related to the potential impact of DevOps on the industry in the future.

Also Read: Why DevOps Is A Top Priority For Organizations Looking To Jump To The Next Level