What is DevOps Services?
Table of contents
- What is DevOps?
- How Does DevOps Work?
- Why DevOps Matters
- What is the DevOps Lifecycle?
- What are DevOps Tools?
- What are the Benefits of DevOps?
- What are the Major DevOps Challenges and Issues?
- What is the Difference Between DevOps and DevSecOps?
- Get started with DevOps
What is DevOps?
DevOps. This is the production methodology that is propelling innovation across the world. While the pandemic ravaged the world, the global populace’s reliance on IT products increased astronomically. Along with the demand, the requirement for reliable and resilient products was high. However, developing error-free products with outdated production approaches was no longer viable, and the companies harnessed DevOps. But what exactly is DevOps? Another question mostly follows: What is DevOps tools?
One of the most innovative approaches we have recently discovered is DevOps, which has led the way to DevOps best practices alongside DevOps services.
It was well known how difficult it was to create software using rigid methodologies like a waterfall. The fundamental tenet of DevOps, which drives its development, is that under development and operations teams can collaborate to produce better outcomes without having to operate like workers on an assembly line.
Due to the team’s cohesion, DevOps team members began to experience advantages, including quicker development and deployment, simpler testing, and continuous integration and continuous delivery (CI/CD). The latter enables the project participants to improve the final product when the needs change continuously.
DevOps is a mindset that paves the way for improved communication and collaboration between these teams and other groups. In its most limited sense, DevOps uses iterative software development, automation, and programmable infrastructure deployment and maintenance. The phrase also implies that developers and operational staffing members work together to achieve the objectives. The software delivery process, services, employment responsibilities, IT tools, and best practices can all be altered by DevOps. In turn, the utilized resources become DevOps processes, DevOps tools, and DevOps principles, which are now associated with DevOps strategy.
Although DevOps is not a technology, environments that use it frequently use standard approaches. They consist of the following:
1) Scope for continuous integration and continuous delivery (CI/CD), also known as continuous deployment, with a focus on an automated DevOps pipeline.
2) Collaboration platforms, real-time monitoring systems, incident management systems, configuration management systems, and other DevOps adoption-supporting services and solutions.
The DevOps methodology is one of the various methods employed by IT workers to carry out IT projects that satisfy business goals. Agile and service management frameworks such as ITIL, project management guidelines like Lean and Six Sigma, and other tactics can coexist alongside DevOps principles.
How Does DevOps Work?
DevOps is a methodology that aims to enhance productivity throughout the whole software development lifecycle (SDLC). Plan, code, test, deploy, monitor, and — through feedback — plan and allow the cycle to repeat. This infinite loop is one of the most distinctive traits of DevOps, and the loop is often termed the CI/CD pipeline.
DevOps principles imply that an IT team creates software that completely satisfies user requirements, deploys quickly, and performs well right away. Businesses use a mix of culture and technology.
Developers and project managers should discuss the project and collaborate on incremental upgrades, which shall go live irrespective of one another, to align the product to expectations. The IT teams shall witness the seamless movements of code development and deployment with the CI/CD pipeline with stunted production duration.
DevOps lifecycle employs containers or other techniques to ensure the program behaves consistently from development through testing and into production to release good code. Developers should support the software if it has a massive shelf-life.
Why DevOps Matters
Although every organization has difficulties, common issues include releases that take too long, subpar software, and IT that restricts business expansion.
Companies can better take advantage of market opportunities with a quicker path from idea to live software. DevOps model gives organizations a competitive edge in this approach. By branding the conference DevOps days in 2009, software development expert Patrick Debois is credited for coining the phrase DevOps services.
IT managers resented the sometimes tedious and excessively complicated change management stages in the ITIL framework as Agile was pushed deeper into operations. Agile promotes collaboration and progress, whereas ITIL champions stable, trustworthy, and predictable IT. DevOps principles moved people on both sides. Organizations may use ITIL and DevOps, especially if they embrace the cloud.
The Phoenix Project, a book published in 2013, helped to popularize the term “DevOps further.” The Phoenix Project employs a fictitious story to highlight persistent issues and aid IT administrators in comprehending the ideas and advantages of teamwork and shared technologies.
As DevOps solutions gained popularity, businesses formalized DevOps methods. DevOps lifecycle was developed by retailer target, for instance. In addition to communication chatbots and CI/CD suites integrated into cloud services, vendors highlighted the technologies’ ability to support DevOps. As a result, the title “DevOps engineer” quickly became popular.
DevOps is still developing as artificial intelligence is used to help with everything from incident management to code creation. There are many obstacles to overcome before AI for DevOps (or AIOps) becomes a reality, including more innovative automation, reduced wait times, and smoother translations from business demand to technology.
While cloud DevOps services has become widely accepted, not all early adopters have fully embraced it. Many people use a DevOps strategy for IT projects that generate income because they get a return on their investment in cutting-edge equipment and expertise. However, DevOps technologies do not provide many internal IT services with substantial advantages that are stable and mature.
What is the DevOps Lifecycle?
Continuous software development, integration, testing, deployment, and monitoring are all parts of the DevOps lifecycle. Therefore, a competent DevOps lifecycle is required for the DevOps techniques to be fully utilized. The DevOps methodology supports continuous innovation, agility, and scalability to create, test, use, and improve software products. It encourages a mindset of ongoing learning, experimenting, and feedback to reinvent goods, services, and procedures. A thorough understanding of the many stages of the DevOps lifecycle is essential for implementation, though.
Developers must understand the entire DevOps process well to produce faster results. The entire development process may become difficult and time-consuming if they are not. The DevOps lifecycle is broken down into all of its parts and is thoroughly examined here.
The DevOps lifecycle involves the enterprise in continuous development and optimizes development processes from beginning to end, leading to quicker delivery timeframes. The following seven stages make up the majority of this process.
1) CI / CD: Various processes linked to the execution of the test process are included in continuous integration (CI). Clients also contribute information that is used to expand the application’s functionality. During this stage, the source code gets changed the most. Since developers shall make frequent changes to CI/CD, they can rapidly identify issues and address them before they become more serious. Small incremental features are continuously integrated with the source code throughout this phase. The system’s upgraded code integrates seamlessly because of continual development.
One of the most well-liked tools for continuous integration is Jenkins. It assists in retrieving the most recent code and creating executable builds. The program is planned and coded throughout continuous development. The DevOps team may more easily speed up the entire software development process thanks to this procedure. The vision for the entire development cycle is mapped out during this phase, which enables developers to properly comprehend project requirements. As a result, the team begins to picture its ultimate objective.
While various version control systems are used to manage code, no DevOps automation tools are necessary for planning. JIRA, Git, Mercurial, and SVN are standard source code maintenance technologies. Other tools, like Ant, Gradle, and Maven, are available for packaging the codes into executable files. The following step in the DevOps lifecycle receives these executable files.
2) Testing: The testing phase, which comes next in the DevOps lifecycle, involves checking the developed code for faults and defects that may have crept in. Quality analysis (QA) is crucial in determining whether the generated software is usable. The program must successfully pass the QA process to ensure it complies with the client’s requirements. Continuous testing uses automation tools like JUnit, Selenium, and TestNG to simultaneously let the QA team examine various code bases. By doing this, it is ensured that the generated program functions flawlessly.
3) Continuous Deployment: The application’s performance is not harmed by continuous deployment (CD), which guarantees hassle-free product deployment. It is crucial to ensure the code is accurately deployed across all accessible servers during this stage. This method eliminates scheduled releases and speeds up the feedback system, enabling programmers to fix problems more efficiently and precisely.
4) Continuous Feedback: It’s imperative to have ongoing feedback to assess and evaluate the application’s final result. It establishes the framework for enhancing and rolling out a new version in response to stakeholder feedback. Analyzing the outcomes of the software operations is the only way to improve the development process of apps. Information obtained from the client’s side is all that feedback is. Information is vital since it contains all the information about the software’s performance and any problems that may be associated with it. Additionally, it includes recommendations made by the software’s users.
What are DevOps Tools?
DevOps is a way of thinking, not a set of tools. However, an IT team struggles to accomplish much without the proper equipment. DevOps professionals frequently use containers, cloud hosting, and a CI/CD pipeline. Tools may be distributed using open source software, be proprietary, or fall under either category.
- Code Storage: Multiple developers can collaborate on code thanks to version-controlled source code repositories. In addition, these tools track the source code modifications. Without tracking, developers could find it challenging to keep track of the most recent modifications and the code versions accessible to users. The following steps in a CI/CD pipeline, such as static code analysis, build, and unit tests, are automatically triggered when a code change is committed in the version-control repository. Git and GitHub are two source code management tools.
- CI/CD Pipeline Tools: Through automation across the development lifecycle, CI/CD enables DevOps teams to frequently validate and deploy apps to the end user. Developers may write, test, and validate code in a common repository as often as necessary without having to perform manual tasks thanks to the continuous integration tool, which starts up operations. Continuous delivery expands these automatic steps through configuration configurations for release management and production-level tests. In addition to tests, setup, and provisioning, the continuous deployment includes monitoring and possibly rollback capabilities. Jenkins, GitLab, and CircleCI are examples of standard tools for CI, CD, or both.
- Containers: How can we forget containers? They are such an integral part of DevOps. On a shared OS, containers are segregated runtimes for software. Containers offer abstraction so that, from development to testing and staging to production, code can function the same way on many underlying infrastructures. Although Microsoft provides specialized Windows container solutions, Docker is the most well-known containerization program. Container orchestrators automate the deployment, scaling, and maintenance of containers. Examples include Kubernetes, Red Hat OpenShift, and Amazon Elastic Kubernetes Service.
- Cloud environments: Because they can automate cloud infrastructure deployment, scaling, and other administration activities, DevOps organizations frequently implement cloud infrastructure simultaneously. Among the most popular cloud services are AWS and Microsoft Azure. In addition, many cloud suppliers also provide CI/CD services.
- Monitoring: DevOps experts can also keep an eye on the efficiency and security of code releases on infrastructure, networks, and systems thanks to monitoring tools. They can mix operational intelligence-producing analytical technologies with monitoring. DevOps teams combine these DevOps automation tools to examine how alterations to the code impact the environment as a whole. There are many options, but some of them are New Relic One, Dynatrace, Prometheus, Datadog, and Splunk.
- Collaboration: As understood, communication and collaboration are essential to DevOps production. There are DevOps tools out there that facilitate this aspect. Slack, Microsoft Teams, and other messaging applications are picking pace on this front.
- Microservices: A single application can be built as a collection of small services using the microservices architectural design strategy. Each service has its running process and communicates with other services using a lightweight mechanism and a well-defined interface. Microservices can be created using a variety of frameworks or programming languages and deployed individually, as a single service, or as a collection of services. Organizations may also employ a microservices design to increase the flexibility of their systems and promote rapid innovation. Each service often has a small, agile team responsible for it.
Useful link: Top 10 DevOps Tools to Pick for Your Business
What are the Benefits of DevOps?
It is crucial to realize that DevOps is a technological approach, not a magic wand. There are some obstacles to overcome. Thus, one must gradually increase the use of DevOps services. Additionally, never use DevOps to solve workplace culture issues.
While DevOps brings a culture shift, it does not address your existing problems. Instead, it makes sense to encourage the development of competent team members who can take advantage of DevOps and instill a great interest in the practice among the other team members.
Other advantages besides automation would persuade you. It’s simpler than ever for your customers to leave if they’re not satisfied because SaaS is the most widely used method of providing software licenses. If your company strategy is based on recurring subscriptions, this could substantially influence your income stream.
Containers simplify maintenance, and developers utilize this technology to improve the project lifecycle and the final product. As most businesses struggled to manage virtual machines for their local development and testing platforms, containerization and the use of containers gained traction.
What are the Major DevOps Challenges and Issues?
Drawbacks with DevOps are more challenging. Let’s explore what those challenges are.
Cultural Shift in Production
Before DevOps, developers and operational staff members worked in different groups. But, with DevOps, the developers pass off the iterative update, and operations staff have to test. And this is just one aspect of DevOps services. There are many other changes that the team would have to comply with, and this may cause problems and friction.
Lack of Talent
The team may be left in a lurch as DevOps principles require training. And given the culture shift, trained hands are required at the helm. However, searching for talent is a task by itself, and most do away with this aspect by having an MSP handle the DevOps production.
The tandem working style will likely create confusion about who is working on what. Therefore, there needs to be proper demarcation regarding the work, for it would waste time if this challenge is not overcome.
What is the Difference Between DevOps and DevSecOps?
Software development and IT teams’ processes are combined and automated by the DevOps collection of technologies, methods, and mindset. Development, security, and operations are abbreviated as DevSecOps. At each phase of the SDLC, security is automated.
DevOps’ primary objective is to eliminate communication gaps between teams, which will speed up the development and deployment of new code. DevSecOps aims to bring security throughout the development process while enhancing accessibility, scalability, and speed. While DevOps is focused on software development and automation, DevSecOps emphasizes how crucial it is for developers to write secure, legal code. Their job is to minimize downtime and data loss. These are the main differences between DevOps Vs DevSecOps.
Get Started with DevOps
An organization would have to discuss several issues during the DevOps adoption process, from cooperation to CI/CD. DevOps is more than just production methods. Thus, it is not to everyone’s taste. Most people remove this by using an MSP like Veritis, the Stevie Awards winner in the DevOps consulting services.
For a range of clients, Veritis has created cutting-edge solutions. We have the DevOps knowledge to meet your demands, whether you’re a Fortune 500 firm or a startup. Contact us with your specific requirements, and we’ll create custom solutions that help you reach your full potential.