DevOps is quite a buzzword nowadays. Organizations have formulated a definition for it and have implemented it accordingly. With a perspective of their own, organizations tend to think they have implemented DevOps, if they have automation in place, their configuration management is enabled, they are using agile processes, or any of the combinations.
One thing that everyone agrees on, though, is that Development and Operations are two organizational entities that don’t get along well.
“DevOps is the Friction-Free Collaboration between Development and Operations”.
Thus, DevOps emerges from the combination of two previously separated functions – development and operations – with a “fail fast” approach of faster deployment, learning, and correction.
DevOps is, thus, defined as an IT mindset that encourages communication, collaboration, integration, and automation among software developers and IT operations to improve the speed and quality of delivering softwares.
Usually, the development team is divided into developers – people who write code, and operations. The administrators including sysadmins, network admins, database admins, and all other people who know the infrastructure, form a part of operations.
The professionals well-versed with operations, thus, prefer keeping things steady to minimize the chances of software conflicts, while developers fix bugs and mostly care about the new features and versions of the software.
The premier problem with the above approach was the lack of cooperation and communication between the two teams. As a result, the software couldn’t be delivered within the desired time-frame.
If the two teams – developers and operations – are merged into a single team and driven with mutual support, it is then that we get DevOps. The DevOps methodology allows delivering iterations of the software until we get the desired result.
- Quicker deployment
- Better marketing strategy
- Lower failure rate of new releases
- Minimum lead time between fixes
- Improved recovery mean time
Core Practices for DevOps
- Continuous Integration
- Configuration Management
- Continuous Deployment
- Continuous Delivery
- Continuous Learning
In addition to the cultural component, DevOps methodology succeeded due to the following approaches:
Infrastructure as Code
The approach enables automatic configuration of servers. In this approach, the server infrastructure is treated like an abstract concept, which is quite easy in the current circumstances, as a lot of servers today are cloud-based. The configuration of the servers are described in the configuration file. The benefits of the approach are:-
- Ability to quickly configure any number of servers.
- Same code is used for all the configurations.
The microservice architectural approach assists in development of an application by dividing it into a suit of small services, each running its own process. A modern social media messaging app with chats, voice calls, and other features, for instance, can be divided with each of its feature developed like independent mini application. Microservice, thus, makes it easy to maintain, test, and reuse different parts of the application.
There’s a huge demand for automation in the modern and dynamic software development industry. Several integrated builds are queued for deployment on a daily basis, but testing all of them manually before deployment, is cumbersome. This brings automation into the picture.
Tools such as Jenkins, Ansible, Docker, and Puppet are pivotal to DevOps. That said, the tools only facilitate the process and assist in achieving the goals.
Values of DevOps
The focus of DevOps is to improve efficiency and establish a collaborative culture via automation, with DevOps tools. Although, some organizations and people tend to value one more than the other, the reality is that it is the combination of both culture and tools which results in success.
DevOps culture is characterized by increased collaboration, improved quality, autonomous teams, shared responsibility, decreased silos, valued feedback, and increased automation. As DevOps is an extension of agile, many of the its values are agile values.
DevOps tools consist of application deployment, version control and monitoring tools, configuration management, test and build systems. Continuous integration, delivery, and deployment require different tools, although, all three practices can work on the same tools, you may require more tools as you go higher into the delivery chain.
Some of the Tools Used
DevOps being an approach that combines Developers and Operations to develop and deliver software more efficiently, is more preferred in today’s time where credibility lies on the completeness and timely delivery. That is why, the teams have more players than just developers and IT operations, and include QAs, PMs, and security experts. Implementing DevOps on early stages can even result in scalable growth.
That’s all from us for this time! Let us know your views in the comment section.
Until next time!
- DevOps is more than DEV + OPS
Initially, when I heard about DevOps around 5 years back, I understood that we were trying to remove barriers between teams, which were created based on phases in traditional development…
- Teradata Intelligent Memory (TIM)
Overview of Teradata Teradata is a RDBMS (Relational Database Management System). This system is solely based on off-the-shelf (readymade) symmetric multiprocessing (SMP) technology combined with communication networking, connecting SMP systems…
- Mobile App Development and Continuous Delivery – Introduction to Docker (1/7)
DevOps has changed the way application development is done and has significantly influenced mobile app development too! DevOps methodology help bridge the gap between development and operations within an organization,…
- Teradata NPARC (Named Pipe ARChive)
Introduction to Teradata: Teradata is a fully scalable relational database management system produced by Teradata Corp. It is widely used to manage large data warehousing operations. The Teradata database system…
- Introduction to TypeScript
- Introduction to Microservices
Traditional development methodologies encourage the ‘monolithic’ approach to application development. Building a single application that does everything required has been the modus operandi for a while. However, with the rise…